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Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13

Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

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Page 1: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

Functional equations for multiple polylogarithms

Herbert Gangl

Durham University

Amplitudes 2013, 30.4.13

Page 2: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

Outline

• functional equations for classical polylogs

• relate multiple polylogs to classical ones, in low weight

• new phenomena in weight 4

• relating MPL’s of different depths

• [if time] glimpse of a mathematical application

Page 3: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

Outline

• functional equations for classical polylogs

• relate multiple polylogs to classical ones, in low weight

• new phenomena in weight 4

• relating MPL’s of different depths

• [if time] glimpse of a mathematical application

Page 4: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

Outline

• functional equations for classical polylogs

• relate multiple polylogs to classical ones, in low weight

• new phenomena in weight 4

• relating MPL’s of different depths

• [if time] glimpse of a mathematical application

Page 5: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

Outline

• functional equations for classical polylogs

• relate multiple polylogs to classical ones, in low weight

• new phenomena in weight 4

• relating MPL’s of different depths

• [if time] glimpse of a mathematical application

Page 6: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

Outline

• functional equations for classical polylogs

• relate multiple polylogs to classical ones, in low weight

• new phenomena in weight 4

• relating MPL’s of different depths

• [if time] glimpse of a mathematical application

Page 7: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

Outline

• functional equations for classical polylogs

• relate multiple polylogs to classical ones, in low weight

• new phenomena in weight 4

• relating MPL’s of different depths

• [if time] glimpse of a mathematical application

Page 8: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

The classical case

For classical polylogarithms, (non-trivial) functional equationsare known for small “weight”(=“transcendentality” for physicists)

• Weight 1: one has the 1-logarithm function∑k≥1

zk

k= − log(1− z) = Li1(z) .

The standard functional equation for log

log(ab) = log(a) + log(b) (1)

translates into an equation for Li1(z):

Li1(x) + Li1(y)− Li1(x + y − x y) = 0 .

Typical here: arguments are rational functions in several variables,coefficients are integers.

Hence for weight 1 can “combine” terms, by virtue of (1), thussuccessively reducing number of terms in a given expression.

Page 9: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

The classical case

For classical polylogarithms, (non-trivial) functional equationsare known for small “weight”(=“transcendentality” for physicists)

• Weight 1: one has the 1-logarithm function∑k≥1

zk

k= − log(1− z) = Li1(z) .

The standard functional equation for log

log(ab) = log(a) + log(b) (1)

translates into an equation for Li1(z):

Li1(x) + Li1(y)− Li1(x + y − x y) = 0 .

Typical here: arguments are rational functions in several variables,coefficients are integers.

Hence for weight 1 can “combine” terms, by virtue of (1), thussuccessively reducing number of terms in a given expression.

Page 10: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

The classical case

For classical polylogarithms, (non-trivial) functional equationsare known for small “weight”(=“transcendentality” for physicists)

• Weight 1: one has the 1-logarithm function

∑k≥1

zk

k= − log(1− z) = Li1(z) .

The standard functional equation for log

log(ab) = log(a) + log(b) (1)

translates into an equation for Li1(z):

Li1(x) + Li1(y)− Li1(x + y − x y) = 0 .

Typical here: arguments are rational functions in several variables,coefficients are integers.

Hence for weight 1 can “combine” terms, by virtue of (1), thussuccessively reducing number of terms in a given expression.

Page 11: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

The classical case

For classical polylogarithms, (non-trivial) functional equationsare known for small “weight”(=“transcendentality” for physicists)

• Weight 1: one has the 1-logarithm function∑k≥1

zk

k

= − log(1− z) = Li1(z) .

The standard functional equation for log

log(ab) = log(a) + log(b) (1)

translates into an equation for Li1(z):

Li1(x) + Li1(y)− Li1(x + y − x y) = 0 .

Typical here: arguments are rational functions in several variables,coefficients are integers.

Hence for weight 1 can “combine” terms, by virtue of (1), thussuccessively reducing number of terms in a given expression.

Page 12: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

The classical case

For classical polylogarithms, (non-trivial) functional equationsare known for small “weight”(=“transcendentality” for physicists)

• Weight 1: one has the 1-logarithm function∑k≥1

zk

k= − log(1− z)

= Li1(z) .

The standard functional equation for log

log(ab) = log(a) + log(b) (1)

translates into an equation for Li1(z):

Li1(x) + Li1(y)− Li1(x + y − x y) = 0 .

Typical here: arguments are rational functions in several variables,coefficients are integers.

Hence for weight 1 can “combine” terms, by virtue of (1), thussuccessively reducing number of terms in a given expression.

Page 13: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

The classical case

For classical polylogarithms, (non-trivial) functional equationsare known for small “weight”(=“transcendentality” for physicists)

• Weight 1: one has the 1-logarithm function∑k≥1

zk

k= − log(1− z) = Li1(z) .

The standard functional equation for log

log(ab) = log(a) + log(b) (1)

translates into an equation for Li1(z):

Li1(x) + Li1(y)− Li1(x + y − x y) = 0 .

Typical here: arguments are rational functions in several variables,coefficients are integers.

Hence for weight 1 can “combine” terms, by virtue of (1), thussuccessively reducing number of terms in a given expression.

Page 14: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

The classical case

For classical polylogarithms, (non-trivial) functional equationsare known for small “weight”(=“transcendentality” for physicists)

• Weight 1: one has the 1-logarithm function∑k≥1

zk

k= − log(1− z) = Li1(z) .

The standard functional equation for log

log(ab) = log(a) + log(b) (1)

translates into an equation for Li1(z):

Li1(x) + Li1(y)− Li1(x + y − x y) = 0 .

Typical here: arguments are rational functions in several variables,coefficients are integers.

Hence for weight 1 can “combine” terms, by virtue of (1), thussuccessively reducing number of terms in a given expression.

Page 15: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

The classical case

For classical polylogarithms, (non-trivial) functional equationsare known for small “weight”(=“transcendentality” for physicists)

• Weight 1: one has the 1-logarithm function∑k≥1

zk

k= − log(1− z) = Li1(z) .

The standard functional equation for log

log(ab) = log(a) + log(b) (1)

translates into an equation for Li1(z):

Li1(x) + Li1(y)− Li1(x + y − x y) = 0 .

Typical here: arguments are rational functions in several variables,coefficients are integers.

Hence for weight 1 can “combine” terms, by virtue of (1), thussuccessively reducing number of terms in a given expression.

Page 16: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

The classical case

For classical polylogarithms, (non-trivial) functional equationsare known for small “weight”(=“transcendentality” for physicists)

• Weight 1: one has the 1-logarithm function∑k≥1

zk

k= − log(1− z) = Li1(z) .

The standard functional equation for log

log(ab) = log(a) + log(b) (1)

translates into an equation for Li1(z):

Li1(x) + Li1(y)− Li1(x + y − x y) = 0 .

Typical here: arguments are rational functions in several variables,coefficients are integers.

Hence for weight 1 can “combine” terms, by virtue of (1), thussuccessively reducing number of terms in a given expression.

Page 17: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

The classical case

For classical polylogarithms, (non-trivial) functional equationsare known for small “weight”(=“transcendentality” for physicists)

• Weight 1: one has the 1-logarithm function∑k≥1

zk

k= − log(1− z) = Li1(z) .

The standard functional equation for log

log(ab) = log(a) + log(b) (1)

translates into an equation for Li1(z):

Li1(x) + Li1(y)− Li1(x + y − x y) = 0 .

Typical here: arguments are rational functions in several variables,coefficients are integers.

Hence for weight 1 can “combine” terms, by virtue of (1), thussuccessively reducing number of terms in a given expression.

Page 18: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

The classical case

For classical polylogarithms, (non-trivial) functional equationsare known for small “weight”(=“transcendentality” for physicists)

• Weight 1: one has the 1-logarithm function∑k≥1

zk

k= − log(1− z) = Li1(z) .

The standard functional equation for log

log(ab) = log(a) + log(b) (1)

translates into an equation for Li1(z):

Li1(x) + Li1(y)− Li1(x + y − x y) = 0 .

Typical here: arguments are rational functions in several variables,coefficients are integers.

Hence for weight 1 can “combine” terms, by virtue of (1), thussuccessively reducing number of terms in a given expression.

Page 19: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

• Weight 2: the dilogarithm Li2(z),

or rather its single-valuedvariant L2(z) = =

(Li2(z)− log |z | Li1(z)

), the Bloch-Wigner dilog,

satisfies the famous five term relation L2

(V (x , y)

)= 0, where

V (x , y) = [x ] + [y ] +[ 1− x

1− xy

]+ [1− xy ] +

[ 1− y

1− xy

], (2)

better memorised by writing the arguments as suitable cross-ratios(take five points on projective line, drop one each and form thecross-ratio of the remaining four).

No obvious way of “combining” terms to a simpler expression asfor weight 1 case.

There are also many other (less well-known) equations: e.g.,

given integers a, b > 0, take solutions {pa,bj (t)}j (algebraic fcts in

t) ofxa(1− x)b = t .

Then ∑j

L2

(pa,bj (t)

)= 0 .

Page 20: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

• Weight 2: the dilogarithm Li2(z), or rather its single-valuedvariant L2(z) = =

(Li2(z)− log |z | Li1(z)

), the Bloch-Wigner dilog,

satisfies the famous five term relation L2

(V (x , y)

)= 0, where

V (x , y) = [x ] + [y ] +[ 1− x

1− xy

]+ [1− xy ] +

[ 1− y

1− xy

], (2)

better memorised by writing the arguments as suitable cross-ratios(take five points on projective line, drop one each and form thecross-ratio of the remaining four).

No obvious way of “combining” terms to a simpler expression asfor weight 1 case.

There are also many other (less well-known) equations: e.g.,

given integers a, b > 0, take solutions {pa,bj (t)}j (algebraic fcts in

t) ofxa(1− x)b = t .

Then ∑j

L2

(pa,bj (t)

)= 0 .

Page 21: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

• Weight 2: the dilogarithm Li2(z), or rather its single-valuedvariant L2(z) = =

(Li2(z)− log |z | Li1(z)

), the Bloch-Wigner dilog,

satisfies the famous five term relation L2

(V (x , y)

)= 0, where

V (x , y) = [x ] + [y ] +[ 1− x

1− xy

]+ [1− xy ] +

[ 1− y

1− xy

], (2)

better memorised by writing the arguments as suitable cross-ratios(take five points on projective line, drop one each and form thecross-ratio of the remaining four).

No obvious way of “combining” terms to a simpler expression asfor weight 1 case.

There are also many other (less well-known) equations: e.g.,

given integers a, b > 0, take solutions {pa,bj (t)}j (algebraic fcts in

t) ofxa(1− x)b = t .

Then ∑j

L2

(pa,bj (t)

)= 0 .

Page 22: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

• Weight 2: the dilogarithm Li2(z), or rather its single-valuedvariant L2(z) = =

(Li2(z)− log |z | Li1(z)

), the Bloch-Wigner dilog,

satisfies the famous five term relation L2

(V (x , y)

)= 0, where

V (x , y) = [x ] + [y ] +[ 1− x

1− xy

]+ [1− xy ] +

[ 1− y

1− xy

], (2)

better memorised by writing the arguments as suitable cross-ratios

(take five points on projective line, drop one each and form thecross-ratio of the remaining four).

No obvious way of “combining” terms to a simpler expression asfor weight 1 case.

There are also many other (less well-known) equations: e.g.,

given integers a, b > 0, take solutions {pa,bj (t)}j (algebraic fcts in

t) ofxa(1− x)b = t .

Then ∑j

L2

(pa,bj (t)

)= 0 .

Page 23: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

• Weight 2: the dilogarithm Li2(z), or rather its single-valuedvariant L2(z) = =

(Li2(z)− log |z | Li1(z)

), the Bloch-Wigner dilog,

satisfies the famous five term relation L2

(V (x , y)

)= 0, where

V (x , y) = [x ] + [y ] +[ 1− x

1− xy

]+ [1− xy ] +

[ 1− y

1− xy

], (2)

better memorised by writing the arguments as suitable cross-ratios(take five points on projective line, drop one each and form thecross-ratio of the remaining four).

No obvious way of “combining” terms to a simpler expression asfor weight 1 case.

There are also many other (less well-known) equations: e.g.,

given integers a, b > 0, take solutions {pa,bj (t)}j (algebraic fcts in

t) ofxa(1− x)b = t .

Then ∑j

L2

(pa,bj (t)

)= 0 .

Page 24: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

• Weight 2: the dilogarithm Li2(z), or rather its single-valuedvariant L2(z) = =

(Li2(z)− log |z | Li1(z)

), the Bloch-Wigner dilog,

satisfies the famous five term relation L2

(V (x , y)

)= 0, where

V (x , y) = [x ] + [y ] +[ 1− x

1− xy

]+ [1− xy ] +

[ 1− y

1− xy

], (2)

better memorised by writing the arguments as suitable cross-ratios(take five points on projective line, drop one each and form thecross-ratio of the remaining four).

No obvious way of “combining” terms to a simpler expression asfor weight 1 case.

There are also many other (less well-known) equations: e.g.,

given integers a, b > 0, take solutions {pa,bj (t)}j (algebraic fcts in

t) ofxa(1− x)b = t .

Then ∑j

L2

(pa,bj (t)

)= 0 .

Page 25: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

• Weight 2: the dilogarithm Li2(z), or rather its single-valuedvariant L2(z) = =

(Li2(z)− log |z | Li1(z)

), the Bloch-Wigner dilog,

satisfies the famous five term relation L2

(V (x , y)

)= 0, where

V (x , y) = [x ] + [y ] +[ 1− x

1− xy

]+ [1− xy ] +

[ 1− y

1− xy

], (2)

better memorised by writing the arguments as suitable cross-ratios(take five points on projective line, drop one each and form thecross-ratio of the remaining four).

No obvious way of “combining” terms to a simpler expression asfor weight 1 case.

There are also many other (less well-known) equations:

e.g.,

given integers a, b > 0, take solutions {pa,bj (t)}j (algebraic fcts in

t) ofxa(1− x)b = t .

Then ∑j

L2

(pa,bj (t)

)= 0 .

Page 26: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

• Weight 2: the dilogarithm Li2(z), or rather its single-valuedvariant L2(z) = =

(Li2(z)− log |z | Li1(z)

), the Bloch-Wigner dilog,

satisfies the famous five term relation L2

(V (x , y)

)= 0, where

V (x , y) = [x ] + [y ] +[ 1− x

1− xy

]+ [1− xy ] +

[ 1− y

1− xy

], (2)

better memorised by writing the arguments as suitable cross-ratios(take five points on projective line, drop one each and form thecross-ratio of the remaining four).

No obvious way of “combining” terms to a simpler expression asfor weight 1 case.

There are also many other (less well-known) equations: e.g.,

given integers a, b > 0, take solutions {pa,bj (t)}j (algebraic fcts in

t) ofxa(1− x)b = t .

Then ∑j

L2

(pa,bj (t)

)= 0 .

Page 27: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

• Weight 2: the dilogarithm Li2(z), or rather its single-valuedvariant L2(z) = =

(Li2(z)− log |z | Li1(z)

), the Bloch-Wigner dilog,

satisfies the famous five term relation L2

(V (x , y)

)= 0, where

V (x , y) = [x ] + [y ] +[ 1− x

1− xy

]+ [1− xy ] +

[ 1− y

1− xy

], (2)

better memorised by writing the arguments as suitable cross-ratios(take five points on projective line, drop one each and form thecross-ratio of the remaining four).

No obvious way of “combining” terms to a simpler expression asfor weight 1 case.

There are also many other (less well-known) equations: e.g.,

given integers a, b > 0, take solutions {pa,bj (t)}j (algebraic fcts in

t) ofxa(1− x)b = t .

Then ∑j

L2

(pa,bj (t)

)= 0 .

Page 28: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

In fact, these sets {pj = pa,bj (t)} also suffice to produce (as a, b

vary, infinitely many different) equations for weight 3, like∑j

(aL3

(pj

)− bL3

(1− pj

))= 0 ,

(Ln a single–valued version of Lin) and also for weight 4∑j

(a(a + b)L4

(pj

)− b(a + b)L4

(1− pj

)− abL4

(1− 1

pj

))= 0 .

Our knowledge on fctl eqs is still quite limited, though: firstnon-trivial equations (mostly in two variables) were found for• weight 3: Spence (1809), Kummer (1840);• weight 4, 5: Kummer (1840)• weight 6, 7: G. (1990, 1992).• weight > 7: still unknown.

Significance: explicit presentation of algebraic K-groups.

For n > 3, the currently known equations are consideredinsufficient for such a presentation. Motivates to look at. . .

Page 29: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

In fact, these sets {pj = pa,bj (t)} also suffice to produce (as a, b

vary, infinitely many different) equations for weight 3, like∑j

(aL3

(pj

)− bL3

(1− pj

))= 0 ,

(Ln a single–valued version of Lin)

and also for weight 4∑j

(a(a + b)L4

(pj

)− b(a + b)L4

(1− pj

)− abL4

(1− 1

pj

))= 0 .

Our knowledge on fctl eqs is still quite limited, though: firstnon-trivial equations (mostly in two variables) were found for• weight 3: Spence (1809), Kummer (1840);• weight 4, 5: Kummer (1840)• weight 6, 7: G. (1990, 1992).• weight > 7: still unknown.

Significance: explicit presentation of algebraic K-groups.

For n > 3, the currently known equations are consideredinsufficient for such a presentation. Motivates to look at. . .

Page 30: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

In fact, these sets {pj = pa,bj (t)} also suffice to produce (as a, b

vary, infinitely many different) equations for weight 3, like∑j

(aL3

(pj

)− bL3

(1− pj

))= 0 ,

(Ln a single–valued version of Lin) and also for weight 4∑j

(a(a + b)L4

(pj

)− b(a + b)L4

(1− pj

)− abL4

(1− 1

pj

))= 0 .

Our knowledge on fctl eqs is still quite limited, though: firstnon-trivial equations (mostly in two variables) were found for• weight 3: Spence (1809), Kummer (1840);• weight 4, 5: Kummer (1840)• weight 6, 7: G. (1990, 1992).• weight > 7: still unknown.

Significance: explicit presentation of algebraic K-groups.

For n > 3, the currently known equations are consideredinsufficient for such a presentation. Motivates to look at. . .

Page 31: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

In fact, these sets {pj = pa,bj (t)} also suffice to produce (as a, b

vary, infinitely many different) equations for weight 3, like∑j

(aL3

(pj

)− bL3

(1− pj

))= 0 ,

(Ln a single–valued version of Lin) and also for weight 4∑j

(a(a + b)L4

(pj

)− b(a + b)L4

(1− pj

)− abL4

(1− 1

pj

))= 0 .

Our knowledge on fctl eqs is still quite limited, though: firstnon-trivial equations (mostly in two variables) were found for

• weight 3: Spence (1809), Kummer (1840);• weight 4, 5: Kummer (1840)• weight 6, 7: G. (1990, 1992).• weight > 7: still unknown.

Significance: explicit presentation of algebraic K-groups.

For n > 3, the currently known equations are consideredinsufficient for such a presentation. Motivates to look at. . .

Page 32: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

In fact, these sets {pj = pa,bj (t)} also suffice to produce (as a, b

vary, infinitely many different) equations for weight 3, like∑j

(aL3

(pj

)− bL3

(1− pj

))= 0 ,

(Ln a single–valued version of Lin) and also for weight 4∑j

(a(a + b)L4

(pj

)− b(a + b)L4

(1− pj

)− abL4

(1− 1

pj

))= 0 .

Our knowledge on fctl eqs is still quite limited, though: firstnon-trivial equations (mostly in two variables) were found for• weight 3: Spence (1809), Kummer (1840);

• weight 4, 5: Kummer (1840)• weight 6, 7: G. (1990, 1992).• weight > 7: still unknown.

Significance: explicit presentation of algebraic K-groups.

For n > 3, the currently known equations are consideredinsufficient for such a presentation. Motivates to look at. . .

Page 33: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

In fact, these sets {pj = pa,bj (t)} also suffice to produce (as a, b

vary, infinitely many different) equations for weight 3, like∑j

(aL3

(pj

)− bL3

(1− pj

))= 0 ,

(Ln a single–valued version of Lin) and also for weight 4∑j

(a(a + b)L4

(pj

)− b(a + b)L4

(1− pj

)− abL4

(1− 1

pj

))= 0 .

Our knowledge on fctl eqs is still quite limited, though: firstnon-trivial equations (mostly in two variables) were found for• weight 3: Spence (1809), Kummer (1840);• weight 4, 5: Kummer (1840)

• weight 6, 7: G. (1990, 1992).• weight > 7: still unknown.

Significance: explicit presentation of algebraic K-groups.

For n > 3, the currently known equations are consideredinsufficient for such a presentation. Motivates to look at. . .

Page 34: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

In fact, these sets {pj = pa,bj (t)} also suffice to produce (as a, b

vary, infinitely many different) equations for weight 3, like∑j

(aL3

(pj

)− bL3

(1− pj

))= 0 ,

(Ln a single–valued version of Lin) and also for weight 4∑j

(a(a + b)L4

(pj

)− b(a + b)L4

(1− pj

)− abL4

(1− 1

pj

))= 0 .

Our knowledge on fctl eqs is still quite limited, though: firstnon-trivial equations (mostly in two variables) were found for• weight 3: Spence (1809), Kummer (1840);• weight 4, 5: Kummer (1840)• weight 6, 7: G. (1990, 1992).

• weight > 7: still unknown.

Significance: explicit presentation of algebraic K-groups.

For n > 3, the currently known equations are consideredinsufficient for such a presentation. Motivates to look at. . .

Page 35: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

In fact, these sets {pj = pa,bj (t)} also suffice to produce (as a, b

vary, infinitely many different) equations for weight 3, like∑j

(aL3

(pj

)− bL3

(1− pj

))= 0 ,

(Ln a single–valued version of Lin) and also for weight 4∑j

(a(a + b)L4

(pj

)− b(a + b)L4

(1− pj

)− abL4

(1− 1

pj

))= 0 .

Our knowledge on fctl eqs is still quite limited, though: firstnon-trivial equations (mostly in two variables) were found for• weight 3: Spence (1809), Kummer (1840);• weight 4, 5: Kummer (1840)• weight 6, 7: G. (1990, 1992).• weight > 7: still unknown.

Significance: explicit presentation of algebraic K-groups.

For n > 3, the currently known equations are consideredinsufficient for such a presentation. Motivates to look at. . .

Page 36: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

In fact, these sets {pj = pa,bj (t)} also suffice to produce (as a, b

vary, infinitely many different) equations for weight 3, like∑j

(aL3

(pj

)− bL3

(1− pj

))= 0 ,

(Ln a single–valued version of Lin) and also for weight 4∑j

(a(a + b)L4

(pj

)− b(a + b)L4

(1− pj

)− abL4

(1− 1

pj

))= 0 .

Our knowledge on fctl eqs is still quite limited, though: firstnon-trivial equations (mostly in two variables) were found for• weight 3: Spence (1809), Kummer (1840);• weight 4, 5: Kummer (1840)• weight 6, 7: G. (1990, 1992).• weight > 7: still unknown.

Significance: explicit presentation of algebraic K-groups.

For n > 3, the currently known equations are consideredinsufficient for such a presentation. Motivates to look at. . .

Page 37: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

In fact, these sets {pj = pa,bj (t)} also suffice to produce (as a, b

vary, infinitely many different) equations for weight 3, like∑j

(aL3

(pj

)− bL3

(1− pj

))= 0 ,

(Ln a single–valued version of Lin) and also for weight 4∑j

(a(a + b)L4

(pj

)− b(a + b)L4

(1− pj

)− abL4

(1− 1

pj

))= 0 .

Our knowledge on fctl eqs is still quite limited, though: firstnon-trivial equations (mostly in two variables) were found for• weight 3: Spence (1809), Kummer (1840);• weight 4, 5: Kummer (1840)• weight 6, 7: G. (1990, 1992).• weight > 7: still unknown.

Significance: explicit presentation of algebraic K-groups.

For n > 3, the currently known equations are consideredinsufficient for such a presentation. Motivates to look at. . .

Page 38: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

The multiple caseMultiple polylogarithms (MPL’s, Goncharov polylogs)(Lappo-Danilevsky, Chen, Goncharov).

Classical polylogs are somehow too special—it is important toconsider multivariable variants. Altogether they should be part ofan overarching coLie algebra structure (Beilinson, Goncharov).

Examples: Non-classical polylogs in depth 2 (for p, q > 0) are

Lip,q(x , y) =∑

0<m<n

xm

mp

yn

nq,

Combined with the classical ones they also satisfy fctl eqns, e.g.since

∑0<m<n +

∑0<n<m +

∑n=m =

∑n,m we get

Lip,q(x , y) + Liq,p(y , x) + Lip+q(xy) = Lip(x)Liq(y) .

• Nothing new for weights 2 and 3: MPL’s of weight ≤ 3 arewell-known to be expressible in terms of the classical ones, e.g.

Li1,1(x , y) = Li2( 1− x

1− y−1

)− Li2

( 1

1− y−1

)− Li2(xy) ,

Page 39: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

The multiple caseMultiple polylogarithms (MPL’s, Goncharov polylogs)(Lappo-Danilevsky, Chen, Goncharov).

Classical polylogs are somehow too special—it is important toconsider multivariable variants.

Altogether they should be part ofan overarching coLie algebra structure (Beilinson, Goncharov).

Examples: Non-classical polylogs in depth 2 (for p, q > 0) are

Lip,q(x , y) =∑

0<m<n

xm

mp

yn

nq,

Combined with the classical ones they also satisfy fctl eqns, e.g.since

∑0<m<n +

∑0<n<m +

∑n=m =

∑n,m we get

Lip,q(x , y) + Liq,p(y , x) + Lip+q(xy) = Lip(x)Liq(y) .

• Nothing new for weights 2 and 3: MPL’s of weight ≤ 3 arewell-known to be expressible in terms of the classical ones, e.g.

Li1,1(x , y) = Li2( 1− x

1− y−1

)− Li2

( 1

1− y−1

)− Li2(xy) ,

Page 40: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

The multiple caseMultiple polylogarithms (MPL’s, Goncharov polylogs)(Lappo-Danilevsky, Chen, Goncharov).

Classical polylogs are somehow too special—it is important toconsider multivariable variants. Altogether they should be part ofan overarching coLie algebra structure (Beilinson, Goncharov).

Examples: Non-classical polylogs in depth 2 (for p, q > 0) are

Lip,q(x , y) =∑

0<m<n

xm

mp

yn

nq,

Combined with the classical ones they also satisfy fctl eqns, e.g.since

∑0<m<n +

∑0<n<m +

∑n=m =

∑n,m we get

Lip,q(x , y) + Liq,p(y , x) + Lip+q(xy) = Lip(x)Liq(y) .

• Nothing new for weights 2 and 3: MPL’s of weight ≤ 3 arewell-known to be expressible in terms of the classical ones, e.g.

Li1,1(x , y) = Li2( 1− x

1− y−1

)− Li2

( 1

1− y−1

)− Li2(xy) ,

Page 41: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

The multiple caseMultiple polylogarithms (MPL’s, Goncharov polylogs)(Lappo-Danilevsky, Chen, Goncharov).

Classical polylogs are somehow too special—it is important toconsider multivariable variants. Altogether they should be part ofan overarching coLie algebra structure (Beilinson, Goncharov).

Examples: Non-classical polylogs in depth 2 (for p, q > 0) are

Lip,q(x , y) =∑

0<m<n

xm

mp

yn

nq,

Combined with the classical ones they also satisfy fctl eqns, e.g.since

∑0<m<n +

∑0<n<m +

∑n=m =

∑n,m we get

Lip,q(x , y) + Liq,p(y , x) + Lip+q(xy) = Lip(x)Liq(y) .

• Nothing new for weights 2 and 3: MPL’s of weight ≤ 3 arewell-known to be expressible in terms of the classical ones, e.g.

Li1,1(x , y) = Li2( 1− x

1− y−1

)− Li2

( 1

1− y−1

)− Li2(xy) ,

Page 42: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

The multiple caseMultiple polylogarithms (MPL’s, Goncharov polylogs)(Lappo-Danilevsky, Chen, Goncharov).

Classical polylogs are somehow too special—it is important toconsider multivariable variants. Altogether they should be part ofan overarching coLie algebra structure (Beilinson, Goncharov).

Examples: Non-classical polylogs in depth 2 (for p, q > 0) are

Lip,q(x , y) =∑

0<m<n

xm

mp

yn

nq,

Combined with the classical ones they also satisfy fctl eqns, e.g.since

∑0<m<n +

∑0<n<m +

∑n=m =

∑n,m we get

Lip,q(x , y) + Liq,p(y , x) + Lip+q(xy) = Lip(x)Liq(y) .

• Nothing new for weights 2 and 3: MPL’s of weight ≤ 3 arewell-known to be expressible in terms of the classical ones, e.g.

Li1,1(x , y) = Li2( 1− x

1− y−1

)− Li2

( 1

1− y−1

)− Li2(xy) ,

Page 43: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

The multiple caseMultiple polylogarithms (MPL’s, Goncharov polylogs)(Lappo-Danilevsky, Chen, Goncharov).

Classical polylogs are somehow too special—it is important toconsider multivariable variants. Altogether they should be part ofan overarching coLie algebra structure (Beilinson, Goncharov).

Examples: Non-classical polylogs in depth 2 (for p, q > 0) are

Lip,q(x , y) =∑

0<m<n

xm

mp

yn

nq,

Combined with the classical ones they also satisfy fctl eqns, e.g.since

∑0<m<n +

∑0<n<m +

∑n=m =

∑n,m we get

Lip,q(x , y) + Liq,p(y , x) + Lip+q(xy) = Lip(x)Liq(y) .

• Nothing new for weights 2 and 3: MPL’s of weight ≤ 3 arewell-known to be expressible in terms of the classical ones, e.g.

Li1,1(x , y) = Li2( 1− x

1− y−1

)− Li2

( 1

1− y−1

)− Li2(xy) ,

Page 44: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

The multiple caseMultiple polylogarithms (MPL’s, Goncharov polylogs)(Lappo-Danilevsky, Chen, Goncharov).

Classical polylogs are somehow too special—it is important toconsider multivariable variants. Altogether they should be part ofan overarching coLie algebra structure (Beilinson, Goncharov).

Examples: Non-classical polylogs in depth 2 (for p, q > 0) are

Lip,q(x , y) =∑

0<m<n

xm

mp

yn

nq,

Combined with the classical ones they also satisfy fctl eqns, e.g.since

∑0<m<n +

∑0<n<m +

∑n=m =

∑n,m we get

Lip,q(x , y) + Liq,p(y , x) + Lip+q(xy) = Lip(x)Liq(y) .

• Nothing new for weights 2 and 3: MPL’s of weight ≤ 3 arewell-known to be expressible in terms of the classical ones, e.g.

Li1,1(x , y) = Li2( 1− x

1− y−1

)− Li2

( 1

1− y−1

)− Li2(xy) ,

Page 45: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

and there are similar, more complicated expressions of Li2,1(x , y)and Li1,1,1(x , y , z) in terms of Li3(z) (and products of lower weightpolylogarithms).

From weight 4 on, things are different: Li4 not sufficient. . .we need a function of at least two variables if we want to expressall weight 4 MPL’s:

e.g. Li2,2(x , y), Li3,1(x , y) or even Li1,1,1,1(x , y , z ,w)(Li4 being a kind of limiting case of these, modulo products).

It is often convenient to work with a notation corresponding toiterated integrals (similar to physicists’ G -fct)

Im1,...,mk(x1, . . . , xk) = (−1)kLim1,...,mk

(z1, . . . , zk)

where x1 = (z1 . . . zk)−1 , x2 = (z2 . . . zk)−1 , . . . , xk = z−1k ,

= G (0, . . . , 0︸ ︷︷ ︸mk−1

, xk , . . . , 0, . . . , 0︸ ︷︷ ︸m1−1

, x1; 1) .

Page 46: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

and there are similar, more complicated expressions of Li2,1(x , y)and Li1,1,1(x , y , z) in terms of Li3(z) (and products of lower weightpolylogarithms).

From weight 4 on, things are different: Li4 not sufficient. . .

we need a function of at least two variables if we want to expressall weight 4 MPL’s:

e.g. Li2,2(x , y), Li3,1(x , y) or even Li1,1,1,1(x , y , z ,w)(Li4 being a kind of limiting case of these, modulo products).

It is often convenient to work with a notation corresponding toiterated integrals (similar to physicists’ G -fct)

Im1,...,mk(x1, . . . , xk) = (−1)kLim1,...,mk

(z1, . . . , zk)

where x1 = (z1 . . . zk)−1 , x2 = (z2 . . . zk)−1 , . . . , xk = z−1k ,

= G (0, . . . , 0︸ ︷︷ ︸mk−1

, xk , . . . , 0, . . . , 0︸ ︷︷ ︸m1−1

, x1; 1) .

Page 47: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

and there are similar, more complicated expressions of Li2,1(x , y)and Li1,1,1(x , y , z) in terms of Li3(z) (and products of lower weightpolylogarithms).

From weight 4 on, things are different: Li4 not sufficient. . .we need a function of at least two variables if we want to expressall weight 4 MPL’s:

e.g. Li2,2(x , y), Li3,1(x , y) or even Li1,1,1,1(x , y , z ,w)(Li4 being a kind of limiting case of these, modulo products).

It is often convenient to work with a notation corresponding toiterated integrals (similar to physicists’ G -fct)

Im1,...,mk(x1, . . . , xk) = (−1)kLim1,...,mk

(z1, . . . , zk)

where x1 = (z1 . . . zk)−1 , x2 = (z2 . . . zk)−1 , . . . , xk = z−1k ,

= G (0, . . . , 0︸ ︷︷ ︸mk−1

, xk , . . . , 0, . . . , 0︸ ︷︷ ︸m1−1

, x1; 1) .

Page 48: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

and there are similar, more complicated expressions of Li2,1(x , y)and Li1,1,1(x , y , z) in terms of Li3(z) (and products of lower weightpolylogarithms).

From weight 4 on, things are different: Li4 not sufficient. . .we need a function of at least two variables if we want to expressall weight 4 MPL’s:

e.g. Li2,2(x , y), Li3,1(x , y) or even Li1,1,1,1(x , y , z ,w)

(Li4 being a kind of limiting case of these, modulo products).

It is often convenient to work with a notation corresponding toiterated integrals (similar to physicists’ G -fct)

Im1,...,mk(x1, . . . , xk) = (−1)kLim1,...,mk

(z1, . . . , zk)

where x1 = (z1 . . . zk)−1 , x2 = (z2 . . . zk)−1 , . . . , xk = z−1k ,

= G (0, . . . , 0︸ ︷︷ ︸mk−1

, xk , . . . , 0, . . . , 0︸ ︷︷ ︸m1−1

, x1; 1) .

Page 49: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

and there are similar, more complicated expressions of Li2,1(x , y)and Li1,1,1(x , y , z) in terms of Li3(z) (and products of lower weightpolylogarithms).

From weight 4 on, things are different: Li4 not sufficient. . .we need a function of at least two variables if we want to expressall weight 4 MPL’s:

e.g. Li2,2(x , y), Li3,1(x , y) or even Li1,1,1,1(x , y , z ,w)(Li4 being a kind of limiting case of these, modulo products).

It is often convenient to work with a notation corresponding toiterated integrals (similar to physicists’ G -fct)

Im1,...,mk(x1, . . . , xk) = (−1)kLim1,...,mk

(z1, . . . , zk)

where x1 = (z1 . . . zk)−1 , x2 = (z2 . . . zk)−1 , . . . , xk = z−1k ,

= G (0, . . . , 0︸ ︷︷ ︸mk−1

, xk , . . . , 0, . . . , 0︸ ︷︷ ︸m1−1

, x1; 1) .

Page 50: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

and there are similar, more complicated expressions of Li2,1(x , y)and Li1,1,1(x , y , z) in terms of Li3(z) (and products of lower weightpolylogarithms).

From weight 4 on, things are different: Li4 not sufficient. . .we need a function of at least two variables if we want to expressall weight 4 MPL’s:

e.g. Li2,2(x , y), Li3,1(x , y) or even Li1,1,1,1(x , y , z ,w)(Li4 being a kind of limiting case of these, modulo products).

It is often convenient to work with a notation corresponding toiterated integrals (similar to physicists’ G -fct)

Im1,...,mk(x1, . . . , xk) = (−1)kLim1,...,mk

(z1, . . . , zk)

where x1 = (z1 . . . zk)−1 , x2 = (z2 . . . zk)−1 , . . . , xk = z−1k ,

= G (0, . . . , 0︸ ︷︷ ︸mk−1

, xk , . . . , 0, . . . , 0︸ ︷︷ ︸m1−1

, x1; 1) .

Page 51: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

and there are similar, more complicated expressions of Li2,1(x , y)and Li1,1,1(x , y , z) in terms of Li3(z) (and products of lower weightpolylogarithms).

From weight 4 on, things are different: Li4 not sufficient. . .we need a function of at least two variables if we want to expressall weight 4 MPL’s:

e.g. Li2,2(x , y), Li3,1(x , y) or even Li1,1,1,1(x , y , z ,w)(Li4 being a kind of limiting case of these, modulo products).

It is often convenient to work with a notation corresponding toiterated integrals (similar to physicists’ G -fct)

Im1,...,mk(x1, . . . , xk) = (−1)kLim1,...,mk

(z1, . . . , zk)

where x1 = (z1 . . . zk)−1 , x2 = (z2 . . . zk)−1 , . . . , xk = z−1k ,

= G (0, . . . , 0︸ ︷︷ ︸mk−1

, xk , . . . , 0, . . . , 0︸ ︷︷ ︸m1−1

, x1; 1) .

Page 52: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

and there are similar, more complicated expressions of Li2,1(x , y)and Li1,1,1(x , y , z) in terms of Li3(z) (and products of lower weightpolylogarithms).

From weight 4 on, things are different: Li4 not sufficient. . .we need a function of at least two variables if we want to expressall weight 4 MPL’s:

e.g. Li2,2(x , y), Li3,1(x , y) or even Li1,1,1,1(x , y , z ,w)(Li4 being a kind of limiting case of these, modulo products).

It is often convenient to work with a notation corresponding toiterated integrals (similar to physicists’ G -fct)

Im1,...,mk(x1, . . . , xk) = (−1)kLim1,...,mk

(z1, . . . , zk)

where x1 = (z1 . . . zk)−1 , x2 = (z2 . . . zk)−1 , . . . , xk = z−1k ,

= G (0, . . . , 0︸ ︷︷ ︸mk−1

, xk , . . . , 0, . . . , 0︸ ︷︷ ︸m1−1

, x1; 1) .

Page 53: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

Functional equations in weight 4; case of depth 2 (write =for “mod products”):

I3,1(x , y) + I3,1(y , x) = 0 ,

furthermore, if we simultaneously transform both variables underthe usual S3-action, we get that modulo Li4-terms (denoted by ≡)

I3,1(x , y) ≡ I3,1(1− x , 1− y) ≡ I3,1(1

x,

1

y

)≡ . . .

One can be more precise and give the Li4-expressions explicitly:for the first congruence, there is actually no such term needed, butfor the second one we find

I3,1(x , y) − I3,1(1

x,

1

y

)= Li4

([x ] − [y ] + 3

[x

y

]),

and similar for the remaining ones.Rewrite equations. It is convenient to introduce cross-ratios

(abcd) = cr(a, b, c, d) =a− c

a− d· b − d

b − c

in the arguments for the I···—to make symmetries more apparent.

Page 54: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

Functional equations in weight 4; case of depth 2 (write =for “mod products”):

I3,1(x , y) + I3,1(y , x) = 0 ,

furthermore, if we simultaneously transform both variables underthe usual S3-action, we get that modulo Li4-terms (denoted by ≡)

I3,1(x , y) ≡ I3,1(1− x , 1− y) ≡ I3,1(1

x,

1

y

)≡ . . .

One can be more precise and give the Li4-expressions explicitly:for the first congruence, there is actually no such term needed, butfor the second one we find

I3,1(x , y) − I3,1(1

x,

1

y

)= Li4

([x ] − [y ] + 3

[x

y

]),

and similar for the remaining ones.Rewrite equations. It is convenient to introduce cross-ratios

(abcd) = cr(a, b, c, d) =a− c

a− d· b − d

b − c

in the arguments for the I···—to make symmetries more apparent.

Page 55: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

Functional equations in weight 4; case of depth 2 (write =for “mod products”):

I3,1(x , y) + I3,1(y , x) = 0 ,

furthermore, if we simultaneously transform both variables underthe usual S3-action, we get that modulo Li4-terms (denoted by ≡)

I3,1(x , y) ≡ I3,1(1− x , 1− y) ≡ I3,1(1

x,

1

y

)≡ . . .

One can be more precise and give the Li4-expressions explicitly:for the first congruence, there is actually no such term needed, butfor the second one we find

I3,1(x , y) − I3,1(1

x,

1

y

)= Li4

([x ] − [y ] + 3

[x

y

]),

and similar for the remaining ones.Rewrite equations. It is convenient to introduce cross-ratios

(abcd) = cr(a, b, c, d) =a− c

a− d· b − d

b − c

in the arguments for the I···—to make symmetries more apparent.

Page 56: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

Functional equations in weight 4; case of depth 2 (write =for “mod products”):

I3,1(x , y) + I3,1(y , x) = 0 ,

furthermore, if we simultaneously transform both variables underthe usual S3-action, we get that modulo Li4-terms (denoted by ≡)

I3,1(x , y) ≡ I3,1(1− x , 1− y) ≡ I3,1(1

x,

1

y

)≡ . . .

One can be more precise and give the Li4-expressions explicitly:for the first congruence, there is actually no such term needed, butfor the second one we find

I3,1(x , y) − I3,1(1

x,

1

y

)= Li4

([x ] − [y ] + 3

[x

y

]),

and similar for the remaining ones.Rewrite equations. It is convenient to introduce cross-ratios

(abcd) = cr(a, b, c, d) =a− c

a− d· b − d

b − c

in the arguments for the I···—to make symmetries more apparent.

Page 57: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

Functional equations in weight 4; case of depth 2 (write =for “mod products”):

I3,1(x , y) + I3,1(y , x) = 0 ,

furthermore, if we simultaneously transform both variables underthe usual S3-action, we get that modulo Li4-terms (denoted by ≡)

I3,1(x , y) ≡ I3,1(1− x , 1− y) ≡ I3,1(1

x,

1

y

)≡ . . .

One can be more precise and give the Li4-expressions explicitly:

for the first congruence, there is actually no such term needed, butfor the second one we find

I3,1(x , y) − I3,1(1

x,

1

y

)= Li4

([x ] − [y ] + 3

[x

y

]),

and similar for the remaining ones.Rewrite equations. It is convenient to introduce cross-ratios

(abcd) = cr(a, b, c, d) =a− c

a− d· b − d

b − c

in the arguments for the I···—to make symmetries more apparent.

Page 58: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

Functional equations in weight 4; case of depth 2 (write =for “mod products”):

I3,1(x , y) + I3,1(y , x) = 0 ,

furthermore, if we simultaneously transform both variables underthe usual S3-action, we get that modulo Li4-terms (denoted by ≡)

I3,1(x , y) ≡ I3,1(1− x , 1− y) ≡ I3,1(1

x,

1

y

)≡ . . .

One can be more precise and give the Li4-expressions explicitly:for the first congruence, there is actually no such term needed,

butfor the second one we find

I3,1(x , y) − I3,1(1

x,

1

y

)= Li4

([x ] − [y ] + 3

[x

y

]),

and similar for the remaining ones.Rewrite equations. It is convenient to introduce cross-ratios

(abcd) = cr(a, b, c, d) =a− c

a− d· b − d

b − c

in the arguments for the I···—to make symmetries more apparent.

Page 59: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

Functional equations in weight 4; case of depth 2 (write =for “mod products”):

I3,1(x , y) + I3,1(y , x) = 0 ,

furthermore, if we simultaneously transform both variables underthe usual S3-action, we get that modulo Li4-terms (denoted by ≡)

I3,1(x , y) ≡ I3,1(1− x , 1− y) ≡ I3,1(1

x,

1

y

)≡ . . .

One can be more precise and give the Li4-expressions explicitly:for the first congruence, there is actually no such term needed, butfor the second one we find

I3,1(x , y) − I3,1(1

x,

1

y

)= Li4

([x ] − [y ] + 3

[x

y

]),

and similar for the remaining ones.

Rewrite equations. It is convenient to introduce cross-ratios

(abcd) = cr(a, b, c, d) =a− c

a− d· b − d

b − c

in the arguments for the I···—to make symmetries more apparent.

Page 60: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

Functional equations in weight 4; case of depth 2 (write =for “mod products”):

I3,1(x , y) + I3,1(y , x) = 0 ,

furthermore, if we simultaneously transform both variables underthe usual S3-action, we get that modulo Li4-terms (denoted by ≡)

I3,1(x , y) ≡ I3,1(1− x , 1− y) ≡ I3,1(1

x,

1

y

)≡ . . .

One can be more precise and give the Li4-expressions explicitly:for the first congruence, there is actually no such term needed, butfor the second one we find

I3,1(x , y) − I3,1(1

x,

1

y

)= Li4

([x ] − [y ] + 3

[x

y

]),

and similar for the remaining ones.Rewrite equations. It is convenient to introduce cross-ratios

(abcd) = cr(a, b, c, d) =a− c

a− d· b − d

b − c

in the arguments for the I···—to make symmetries more apparent.

Page 61: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

Functional equations in weight 4; case of depth 2 (write =for “mod products”):

I3,1(x , y) + I3,1(y , x) = 0 ,

furthermore, if we simultaneously transform both variables underthe usual S3-action, we get that modulo Li4-terms (denoted by ≡)

I3,1(x , y) ≡ I3,1(1− x , 1− y) ≡ I3,1(1

x,

1

y

)≡ . . .

One can be more precise and give the Li4-expressions explicitly:for the first congruence, there is actually no such term needed, butfor the second one we find

I3,1(x , y) − I3,1(1

x,

1

y

)= Li4

([x ] − [y ] + 3

[x

y

]),

and similar for the remaining ones.Rewrite equations. It is convenient to introduce cross-ratios

(abcd) = cr(a, b, c, d) =a− c

a− d· b − d

b − c

in the arguments for the I···—to make symmetries more apparent.

Page 62: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

• Abbreviate (abcde)31 = I31

((abcd), (abce)

), then above reads

(abcde)31 ≡ (acbde)31 ≡ (bacde)31 ≡ −(abced)31 ,

(symmetric in first three slots, antisymmetric in last two).

• Similarly, for (abcde)22 = I22

(abcd , abce

)find, mod Li4-terms,

(abcde)22 ≡ (bacde)22 ≡ −(abdce)22 ≡ −(badce)22 ,

(symmetric in first two slots, antisymmetric in slots 3 and 4).

• Particularly nice here (swapping both slots simultaneously):

(abcde)22 + (badce)22 = (abcd)4 .

• Moreover, get 4-term equations (e.g. cyclic symmetry in lastfour) (

e(abcd)cyc)22≡ 0 ,

((abcd)cyce

)31≡ 0 .

• Among the 120 terms (aσ(1) . . . aσ(5))31, σ ∈ S5, there are only 6linearly independent ones mod Li4. Similarly for I22 instead of I31.

Page 63: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

• Abbreviate (abcde)31 = I31

((abcd), (abce)

), then above reads

(abcde)31 ≡ (acbde)31 ≡ (bacde)31 ≡ −(abced)31 ,

(symmetric in first three slots, antisymmetric in last two).

• Similarly, for (abcde)22 = I22

(abcd , abce

)find, mod Li4-terms,

(abcde)22 ≡ (bacde)22 ≡ −(abdce)22 ≡ −(badce)22 ,

(symmetric in first two slots, antisymmetric in slots 3 and 4).

• Particularly nice here (swapping both slots simultaneously):

(abcde)22 + (badce)22 = (abcd)4 .

• Moreover, get 4-term equations (e.g. cyclic symmetry in lastfour) (

e(abcd)cyc)22≡ 0 ,

((abcd)cyce

)31≡ 0 .

• Among the 120 terms (aσ(1) . . . aσ(5))31, σ ∈ S5, there are only 6linearly independent ones mod Li4. Similarly for I22 instead of I31.

Page 64: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

• Abbreviate (abcde)31 = I31

((abcd), (abce)

), then above reads

(abcde)31 ≡ (acbde)31 ≡ (bacde)31 ≡ −(abced)31 ,

(symmetric in first three slots, antisymmetric in last two).

• Similarly, for (abcde)22 = I22

(abcd , abce

)find, mod Li4-terms,

(abcde)22 ≡ (bacde)22 ≡ −(abdce)22 ≡ −(badce)22 ,

(symmetric in first two slots, antisymmetric in slots 3 and 4).

• Particularly nice here (swapping both slots simultaneously):

(abcde)22 + (badce)22 = (abcd)4 .

• Moreover, get 4-term equations (e.g. cyclic symmetry in lastfour) (

e(abcd)cyc)22≡ 0 ,

((abcd)cyce

)31≡ 0 .

• Among the 120 terms (aσ(1) . . . aσ(5))31, σ ∈ S5, there are only 6linearly independent ones mod Li4. Similarly for I22 instead of I31.

Page 65: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

• Abbreviate (abcde)31 = I31

((abcd), (abce)

), then above reads

(abcde)31 ≡ (acbde)31 ≡ (bacde)31 ≡ −(abced)31 ,

(symmetric in first three slots, antisymmetric in last two).

• Similarly, for (abcde)22 = I22

(abcd , abce

)find, mod Li4-terms,

(abcde)22 ≡ (bacde)22 ≡ −(abdce)22 ≡ −(badce)22 ,

(symmetric in first two slots, antisymmetric in slots 3 and 4).

• Particularly nice here (swapping both slots simultaneously):

(abcde)22 + (badce)22 = (abcd)4 .

• Moreover, get 4-term equations (e.g. cyclic symmetry in lastfour) (

e(abcd)cyc)22≡ 0 ,

((abcd)cyce

)31≡ 0 .

• Among the 120 terms (aσ(1) . . . aσ(5))31, σ ∈ S5, there are only 6linearly independent ones mod Li4. Similarly for I22 instead of I31.

Page 66: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

• Abbreviate (abcde)31 = I31

((abcd), (abce)

), then above reads

(abcde)31 ≡ (acbde)31 ≡ (bacde)31 ≡ −(abced)31 ,

(symmetric in first three slots, antisymmetric in last two).

• Similarly, for (abcde)22 = I22

(abcd , abce

)find, mod Li4-terms,

(abcde)22 ≡ (bacde)22 ≡ −(abdce)22 ≡ −(badce)22 ,

(symmetric in first two slots, antisymmetric in slots 3 and 4).

• Particularly nice here (swapping both slots simultaneously):

(abcde)22 + (badce)22 = (abcd)4 .

• Moreover, get 4-term equations (e.g. cyclic symmetry in lastfour) (

e(abcd)cyc)22≡ 0 ,

((abcd)cyce

)31≡ 0 .

• Among the 120 terms (aσ(1) . . . aσ(5))31, σ ∈ S5, there are only 6linearly independent ones mod Li4. Similarly for I22 instead of I31.

Page 67: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

• Abbreviate (abcde)31 = I31

((abcd), (abce)

), then above reads

(abcde)31 ≡ (acbde)31 ≡ (bacde)31 ≡ −(abced)31 ,

(symmetric in first three slots, antisymmetric in last two).

• Similarly, for (abcde)22 = I22

(abcd , abce

)find, mod Li4-terms,

(abcde)22 ≡ (bacde)22 ≡ −(abdce)22 ≡ −(badce)22 ,

(symmetric in first two slots, antisymmetric in slots 3 and 4).

• Particularly nice here (swapping both slots simultaneously):

(abcde)22 + (badce)22 = (abcd)4 .

• Moreover, get 4-term equations

(e.g. cyclic symmetry in lastfour) (

e(abcd)cyc)22≡ 0 ,

((abcd)cyce

)31≡ 0 .

• Among the 120 terms (aσ(1) . . . aσ(5))31, σ ∈ S5, there are only 6linearly independent ones mod Li4. Similarly for I22 instead of I31.

Page 68: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

• Abbreviate (abcde)31 = I31

((abcd), (abce)

), then above reads

(abcde)31 ≡ (acbde)31 ≡ (bacde)31 ≡ −(abced)31 ,

(symmetric in first three slots, antisymmetric in last two).

• Similarly, for (abcde)22 = I22

(abcd , abce

)find, mod Li4-terms,

(abcde)22 ≡ (bacde)22 ≡ −(abdce)22 ≡ −(badce)22 ,

(symmetric in first two slots, antisymmetric in slots 3 and 4).

• Particularly nice here (swapping both slots simultaneously):

(abcde)22 + (badce)22 = (abcd)4 .

• Moreover, get 4-term equations (e.g. cyclic symmetry in lastfour) (

e(abcd)cyc)22≡ 0 ,

((abcd)cyce

)31≡ 0 .

• Among the 120 terms (aσ(1) . . . aσ(5))31, σ ∈ S5, there are only 6linearly independent ones mod Li4. Similarly for I22 instead of I31.

Page 69: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

• Abbreviate (abcde)31 = I31

((abcd), (abce)

), then above reads

(abcde)31 ≡ (acbde)31 ≡ (bacde)31 ≡ −(abced)31 ,

(symmetric in first three slots, antisymmetric in last two).

• Similarly, for (abcde)22 = I22

(abcd , abce

)find, mod Li4-terms,

(abcde)22 ≡ (bacde)22 ≡ −(abdce)22 ≡ −(badce)22 ,

(symmetric in first two slots, antisymmetric in slots 3 and 4).

• Particularly nice here (swapping both slots simultaneously):

(abcde)22 + (badce)22 = (abcd)4 .

• Moreover, get 4-term equations (e.g. cyclic symmetry in lastfour) (

e(abcd)cyc)22≡ 0 ,

((abcd)cyce

)31≡ 0 .

• Among the 120 terms (aσ(1) . . . aσ(5))31, σ ∈ S5, there are only 6linearly independent ones mod Li4.

Similarly for I22 instead of I31.

Page 70: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

• Abbreviate (abcde)31 = I31

((abcd), (abce)

), then above reads

(abcde)31 ≡ (acbde)31 ≡ (bacde)31 ≡ −(abced)31 ,

(symmetric in first three slots, antisymmetric in last two).

• Similarly, for (abcde)22 = I22

(abcd , abce

)find, mod Li4-terms,

(abcde)22 ≡ (bacde)22 ≡ −(abdce)22 ≡ −(badce)22 ,

(symmetric in first two slots, antisymmetric in slots 3 and 4).

• Particularly nice here (swapping both slots simultaneously):

(abcde)22 + (badce)22 = (abcd)4 .

• Moreover, get 4-term equations (e.g. cyclic symmetry in lastfour) (

e(abcd)cyc)22≡ 0 ,

((abcd)cyce

)31≡ 0 .

• Among the 120 terms (aσ(1) . . . aσ(5))31, σ ∈ S5, there are only 6linearly independent ones mod Li4. Similarly for I22 instead of I31.

Page 71: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

Functional equations in depth 3:

Similar convention:(abcdef )211 = I211(cr(a, b, c, d), cr(a, b, c , e), cr(a, b, c, f )) etc.

• For I211, get that the alternating sum of six terms∑σ∈S3

(−1)|σ|((abc)σdef

)211

is symmetric, mod Li4, in last three slots, its difference to “fde”,say, being expressed as a sum of six Li4–terms (coefficients ±4).

• Similar expressions for I121 (but not for I112).

• Can represent I211 in terms of I31:

2 (a1a2a3a4a5a6)211 ≡ sum of 36 terms of form± (ai1 . . . ai5)31

with ik ∈ {1, . . . , 6}. (Note coefficients all ±1.)

• Can also represent I211 via 36 I22-terms, coefficients ±16 , ±1

2 .

Page 72: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

Functional equations in depth 3: Similar convention:(abcdef )211 = I211(cr(a, b, c, d), cr(a, b, c , e), cr(a, b, c, f )) etc.

• For I211, get that the alternating sum of six terms∑σ∈S3

(−1)|σ|((abc)σdef

)211

is symmetric, mod Li4, in last three slots, its difference to “fde”,say, being expressed as a sum of six Li4–terms (coefficients ±4).

• Similar expressions for I121 (but not for I112).

• Can represent I211 in terms of I31:

2 (a1a2a3a4a5a6)211 ≡ sum of 36 terms of form± (ai1 . . . ai5)31

with ik ∈ {1, . . . , 6}. (Note coefficients all ±1.)

• Can also represent I211 via 36 I22-terms, coefficients ±16 , ±1

2 .

Page 73: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

Functional equations in depth 3: Similar convention:(abcdef )211 = I211(cr(a, b, c, d), cr(a, b, c , e), cr(a, b, c, f )) etc.

• For I211, get that the alternating sum of six terms∑σ∈S3

(−1)|σ|((abc)σdef

)211

is symmetric, mod Li4, in last three slots,

its difference to “fde”,say, being expressed as a sum of six Li4–terms (coefficients ±4).

• Similar expressions for I121 (but not for I112).

• Can represent I211 in terms of I31:

2 (a1a2a3a4a5a6)211 ≡ sum of 36 terms of form± (ai1 . . . ai5)31

with ik ∈ {1, . . . , 6}. (Note coefficients all ±1.)

• Can also represent I211 via 36 I22-terms, coefficients ±16 , ±1

2 .

Page 74: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

Functional equations in depth 3: Similar convention:(abcdef )211 = I211(cr(a, b, c, d), cr(a, b, c , e), cr(a, b, c, f )) etc.

• For I211, get that the alternating sum of six terms∑σ∈S3

(−1)|σ|((abc)σdef

)211

is symmetric, mod Li4, in last three slots, its difference to “fde”,say, being expressed as a sum of six Li4–terms (coefficients ±4).

• Similar expressions for I121 (but not for I112).

• Can represent I211 in terms of I31:

2 (a1a2a3a4a5a6)211 ≡ sum of 36 terms of form± (ai1 . . . ai5)31

with ik ∈ {1, . . . , 6}. (Note coefficients all ±1.)

• Can also represent I211 via 36 I22-terms, coefficients ±16 , ±1

2 .

Page 75: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

Functional equations in depth 3: Similar convention:(abcdef )211 = I211(cr(a, b, c, d), cr(a, b, c , e), cr(a, b, c, f )) etc.

• For I211, get that the alternating sum of six terms∑σ∈S3

(−1)|σ|((abc)σdef

)211

is symmetric, mod Li4, in last three slots, its difference to “fde”,say, being expressed as a sum of six Li4–terms (coefficients ±4).

• Similar expressions for I121 (but not for I112).

• Can represent I211 in terms of I31:

2 (a1a2a3a4a5a6)211 ≡ sum of 36 terms of form± (ai1 . . . ai5)31

with ik ∈ {1, . . . , 6}. (Note coefficients all ±1.)

• Can also represent I211 via 36 I22-terms, coefficients ±16 , ±1

2 .

Page 76: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

Functional equations in depth 3: Similar convention:(abcdef )211 = I211(cr(a, b, c, d), cr(a, b, c , e), cr(a, b, c, f )) etc.

• For I211, get that the alternating sum of six terms∑σ∈S3

(−1)|σ|((abc)σdef

)211

is symmetric, mod Li4, in last three slots, its difference to “fde”,say, being expressed as a sum of six Li4–terms (coefficients ±4).

• Similar expressions for I121 (but not for I112).

• Can represent I211 in terms of I31:

2 (a1a2a3a4a5a6)211 ≡ sum of 36 terms of form± (ai1 . . . ai5)31

with ik ∈ {1, . . . , 6}. (Note coefficients all ±1.)

• Can also represent I211 via 36 I22-terms, coefficients ±16 , ±1

2 .

Page 77: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

Functional equations in depth 3: Similar convention:(abcdef )211 = I211(cr(a, b, c, d), cr(a, b, c , e), cr(a, b, c, f )) etc.

• For I211, get that the alternating sum of six terms∑σ∈S3

(−1)|σ|((abc)σdef

)211

is symmetric, mod Li4, in last three slots, its difference to “fde”,say, being expressed as a sum of six Li4–terms (coefficients ±4).

• Similar expressions for I121 (but not for I112).

• Can represent I211 in terms of I31:

2 (a1a2a3a4a5a6)211 ≡ sum of 36 terms of form± (ai1 . . . ai5)31

with ik ∈ {1, . . . , 6}. (Note coefficients all ±1.)

• Can also represent I211 via 36 I22-terms, coefficients ±16 , ±1

2 .

Page 78: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

Functional equations in depth 4: (convention now obvious)

For I1111, the quadruple logarithm, find• simple 2-fold symmetries

(abcdefg)1111 = −(abcgfed)1111

and(abcdefg)1111 = −(acbdefg)1111 ,

• functional equations with four terms (qq=shuffle)(abc((def )qq g

))1111

= 0 =(

abc(defg)cyc

))1111

,

• and several ones with 6 terms, e.g.(a(bcd)cycefg

)1111

is symmetric in e and g .

But all the above are ‘too simple’ to combine two different depths:they do not involve I31–terms or Li4–terms.

Page 79: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

Functional equations in depth 4: (convention now obvious)For I1111, the quadruple logarithm, find• simple 2-fold symmetries

(abcdefg)1111 = −(abcgfed)1111

and(abcdefg)1111 = −(acbdefg)1111 ,

• functional equations with four terms (qq=shuffle)(abc((def )qq g

))1111

= 0 =(

abc(defg)cyc

))1111

,

• and several ones with 6 terms, e.g.(a(bcd)cycefg

)1111

is symmetric in e and g .

But all the above are ‘too simple’ to combine two different depths:they do not involve I31–terms or Li4–terms.

Page 80: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

Functional equations in depth 4: (convention now obvious)For I1111, the quadruple logarithm, find• simple 2-fold symmetries

(abcdefg)1111 = −(abcgfed)1111

and(abcdefg)1111 = −(acbdefg)1111 ,

• functional equations with four terms (qq=shuffle)(abc((def )qq g

))1111

= 0 =(

abc(defg)cyc

))1111

,

• and several ones with 6 terms, e.g.(a(bcd)cycefg

)1111

is symmetric in e and g .

But all the above are ‘too simple’ to combine two different depths:they do not involve I31–terms or Li4–terms.

Page 81: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

Functional equations in depth 4: (convention now obvious)For I1111, the quadruple logarithm, find• simple 2-fold symmetries

(abcdefg)1111 = −(abcgfed)1111

and(abcdefg)1111 = −(acbdefg)1111 ,

• functional equations with four terms (qq=shuffle)

(abc((def )qq g

))1111

= 0 =(

abc(defg)cyc

))1111

,

• and several ones with 6 terms, e.g.(a(bcd)cycefg

)1111

is symmetric in e and g .

But all the above are ‘too simple’ to combine two different depths:they do not involve I31–terms or Li4–terms.

Page 82: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

Functional equations in depth 4: (convention now obvious)For I1111, the quadruple logarithm, find• simple 2-fold symmetries

(abcdefg)1111 = −(abcgfed)1111

and(abcdefg)1111 = −(acbdefg)1111 ,

• functional equations with four terms (qq=shuffle)(abc((def )qq g

))1111

= 0 =(

abc(defg)cyc

))1111

,

• and several ones with 6 terms, e.g.(a(bcd)cycefg

)1111

is symmetric in e and g .

But all the above are ‘too simple’ to combine two different depths:they do not involve I31–terms or Li4–terms.

Page 83: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

Functional equations in depth 4: (convention now obvious)For I1111, the quadruple logarithm, find• simple 2-fold symmetries

(abcdefg)1111 = −(abcgfed)1111

and(abcdefg)1111 = −(acbdefg)1111 ,

• functional equations with four terms (qq=shuffle)(abc((def )qq g

))1111

= 0 =(

abc(defg)cyc

))1111

,

• and several ones with 6 terms,

e.g.(a(bcd)cycefg

)1111

is symmetric in e and g .

But all the above are ‘too simple’ to combine two different depths:they do not involve I31–terms or Li4–terms.

Page 84: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

Functional equations in depth 4: (convention now obvious)For I1111, the quadruple logarithm, find• simple 2-fold symmetries

(abcdefg)1111 = −(abcgfed)1111

and(abcdefg)1111 = −(acbdefg)1111 ,

• functional equations with four terms (qq=shuffle)(abc((def )qq g

))1111

= 0 =(

abc(defg)cyc

))1111

,

• and several ones with 6 terms, e.g.(a(bcd)cycefg

)1111

is symmetric in e and g .

But all the above are ‘too simple’ to combine two different depths:they do not involve I31–terms or Li4–terms.

Page 85: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

Functional equations in depth 4: (convention now obvious)For I1111, the quadruple logarithm, find• simple 2-fold symmetries

(abcdefg)1111 = −(abcgfed)1111

and(abcdefg)1111 = −(acbdefg)1111 ,

• functional equations with four terms (qq=shuffle)(abc((def )qq g

))1111

= 0 =(

abc(defg)cyc

))1111

,

• and several ones with 6 terms, e.g.(a(bcd)cycefg

)1111

is symmetric in e and g .

But all the above are ‘too simple’ to combine two different depths:they do not involve I31–terms or Li4–terms.

Page 86: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

More interesting: eqs with 18 I1111–terms, adding up to acombination of Li4–terms; arguments of 3 types, indices mod 3:

(aibjbj+1bj+2ai+1cai+2) , (bjbj+1bj+2a1ca2a3) , (cbjbj+1a3bj+2a1a2).

Most interesting perhaps is the following one:

Theorem. The alternating sum over 1,2,3,4 of (a1a2a3a4bcd)1111

is antisymmetric, mod Li4-terms, under exchanging the first entrywith the sixth.

Moreover, its antisymmetrisation equals the same alternating sum(over 1,2,3,4) of (a1a2a3b)4 + (a1a2a3d)4.

We believe that all these functional equations are new.Earlier results by N.Dan (explicitly relating I1111, I31 and Li4),by F.Brown (developed rep theory of polylogs, implicit equations)and in Rhodes’s thesis (weight ≤ 5, not neglecting products).

Page 87: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

More interesting: eqs with 18 I1111–terms, adding up to acombination of Li4–terms; arguments of 3 types, indices mod 3:(aibjbj+1bj+2ai+1cai+2) , (bjbj+1bj+2a1ca2a3) , (cbjbj+1a3bj+2a1a2).

Most interesting perhaps is the following one:

Theorem. The alternating sum over 1,2,3,4 of (a1a2a3a4bcd)1111

is antisymmetric, mod Li4-terms, under exchanging the first entrywith the sixth.

Moreover, its antisymmetrisation equals the same alternating sum(over 1,2,3,4) of (a1a2a3b)4 + (a1a2a3d)4.

We believe that all these functional equations are new.Earlier results by N.Dan (explicitly relating I1111, I31 and Li4),by F.Brown (developed rep theory of polylogs, implicit equations)and in Rhodes’s thesis (weight ≤ 5, not neglecting products).

Page 88: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

More interesting: eqs with 18 I1111–terms, adding up to acombination of Li4–terms; arguments of 3 types, indices mod 3:(aibjbj+1bj+2ai+1cai+2) , (bjbj+1bj+2a1ca2a3) , (cbjbj+1a3bj+2a1a2).

Most interesting perhaps is the following one:

Theorem. The alternating sum over 1,2,3,4 of (a1a2a3a4bcd)1111

is antisymmetric, mod Li4-terms, under exchanging the first entrywith the sixth.

Moreover, its antisymmetrisation equals the same alternating sum(over 1,2,3,4) of (a1a2a3b)4 + (a1a2a3d)4.

We believe that all these functional equations are new.Earlier results by N.Dan (explicitly relating I1111, I31 and Li4),by F.Brown (developed rep theory of polylogs, implicit equations)and in Rhodes’s thesis (weight ≤ 5, not neglecting products).

Page 89: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

More interesting: eqs with 18 I1111–terms, adding up to acombination of Li4–terms; arguments of 3 types, indices mod 3:(aibjbj+1bj+2ai+1cai+2) , (bjbj+1bj+2a1ca2a3) , (cbjbj+1a3bj+2a1a2).

Most interesting perhaps is the following one:

Theorem. The alternating sum over 1,2,3,4 of (a1a2a3a4bcd)1111

is antisymmetric, mod Li4-terms, under exchanging the first entrywith the sixth.

Moreover, its antisymmetrisation equals the same alternating sum(over 1,2,3,4) of (a1a2a3b)4 + (a1a2a3d)4.

We believe that all these functional equations are new.Earlier results by N.Dan (explicitly relating I1111, I31 and Li4),by F.Brown (developed rep theory of polylogs, implicit equations)and in Rhodes’s thesis (weight ≤ 5, not neglecting products).

Page 90: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

More interesting: eqs with 18 I1111–terms, adding up to acombination of Li4–terms; arguments of 3 types, indices mod 3:(aibjbj+1bj+2ai+1cai+2) , (bjbj+1bj+2a1ca2a3) , (cbjbj+1a3bj+2a1a2).

Most interesting perhaps is the following one:

Theorem. The alternating sum over 1,2,3,4 of (a1a2a3a4bcd)1111

is antisymmetric, mod Li4-terms, under exchanging the first entrywith the sixth.

Moreover, its antisymmetrisation equals the same alternating sum(over 1,2,3,4) of (a1a2a3b)4 + (a1a2a3d)4.

We believe that all these functional equations are new.Earlier results by N.Dan (explicitly relating I1111, I31 and Li4),by F.Brown (developed rep theory of polylogs, implicit equations)and in Rhodes’s thesis (weight ≤ 5, not neglecting products).

Page 91: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

More interesting: eqs with 18 I1111–terms, adding up to acombination of Li4–terms; arguments of 3 types, indices mod 3:(aibjbj+1bj+2ai+1cai+2) , (bjbj+1bj+2a1ca2a3) , (cbjbj+1a3bj+2a1a2).

Most interesting perhaps is the following one:

Theorem. The alternating sum over 1,2,3,4 of (a1a2a3a4bcd)1111

is antisymmetric, mod Li4-terms, under exchanging the first entrywith the sixth.

Moreover, its antisymmetrisation equals the same alternating sum(over 1,2,3,4) of (a1a2a3b)4 + (a1a2a3d)4.

We believe that all these functional equations are new.

Earlier results by N.Dan (explicitly relating I1111, I31 and Li4),by F.Brown (developed rep theory of polylogs, implicit equations)and in Rhodes’s thesis (weight ≤ 5, not neglecting products).

Page 92: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

More interesting: eqs with 18 I1111–terms, adding up to acombination of Li4–terms; arguments of 3 types, indices mod 3:(aibjbj+1bj+2ai+1cai+2) , (bjbj+1bj+2a1ca2a3) , (cbjbj+1a3bj+2a1a2).

Most interesting perhaps is the following one:

Theorem. The alternating sum over 1,2,3,4 of (a1a2a3a4bcd)1111

is antisymmetric, mod Li4-terms, under exchanging the first entrywith the sixth.

Moreover, its antisymmetrisation equals the same alternating sum(over 1,2,3,4) of (a1a2a3b)4 + (a1a2a3d)4.

We believe that all these functional equations are new.Earlier results by N.Dan (explicitly relating I1111, I31 and Li4),

by F.Brown (developed rep theory of polylogs, implicit equations)and in Rhodes’s thesis (weight ≤ 5, not neglecting products).

Page 93: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

More interesting: eqs with 18 I1111–terms, adding up to acombination of Li4–terms; arguments of 3 types, indices mod 3:(aibjbj+1bj+2ai+1cai+2) , (bjbj+1bj+2a1ca2a3) , (cbjbj+1a3bj+2a1a2).

Most interesting perhaps is the following one:

Theorem. The alternating sum over 1,2,3,4 of (a1a2a3a4bcd)1111

is antisymmetric, mod Li4-terms, under exchanging the first entrywith the sixth.

Moreover, its antisymmetrisation equals the same alternating sum(over 1,2,3,4) of (a1a2a3b)4 + (a1a2a3d)4.

We believe that all these functional equations are new.Earlier results by N.Dan (explicitly relating I1111, I31 and Li4),by F.Brown (developed rep theory of polylogs, implicit equations)

and in Rhodes’s thesis (weight ≤ 5, not neglecting products).

Page 94: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

More interesting: eqs with 18 I1111–terms, adding up to acombination of Li4–terms; arguments of 3 types, indices mod 3:(aibjbj+1bj+2ai+1cai+2) , (bjbj+1bj+2a1ca2a3) , (cbjbj+1a3bj+2a1a2).

Most interesting perhaps is the following one:

Theorem. The alternating sum over 1,2,3,4 of (a1a2a3a4bcd)1111

is antisymmetric, mod Li4-terms, under exchanging the first entrywith the sixth.

Moreover, its antisymmetrisation equals the same alternating sum(over 1,2,3,4) of (a1a2a3b)4 + (a1a2a3d)4.

We believe that all these functional equations are new.Earlier results by N.Dan (explicitly relating I1111, I31 and Li4),by F.Brown (developed rep theory of polylogs, implicit equations)and in Rhodes’s thesis (weight ≤ 5, not neglecting products).

Page 95: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

Check time!

Page 96: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

How can one find these equations?

In one word: compute the symbols of potential candidate termsand use (multi-)linear algebra;

convenient Mathematica implementation by C.Duhr, establishedfor our previous joint work (JHEP 2012, Duhr, G.,Rhodes).

Page 97: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

How can one find these equations?

In one word: compute the symbols of potential candidate termsand use (multi-)linear algebra;convenient Mathematica implementation by C.Duhr, establishedfor our previous joint work (JHEP 2012, Duhr, G.,Rhodes).

Page 98: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

Mathematical ImpactA Conjecture of Goncharov

Method successfully used also to tackle an old (∼ 1992) questionof Goncharov, who reduced Zagier’s Conjecture on polylogarithmsfor weight 4, say, to two highly delicate combinatorial problems.

The first of these two problems boils down to the conjecture that acertain expression can be expressed in terms of Li4. By a remark ofN.Dan, one can take this expression to be I31(V (x , y), z), i.e. asum of five I31-terms, where V (x , y) denotes any variant of the5-term equation for the dilogarithm.

Theorem. There is an Li4–expression in three variables x, y , z,whose “symbol” agrees with the one for I31(V (x , y), z).Moreover, there is an explicit solution consisting of 122 terms.

Goncharov outlined how one should get from such an expression toa functional equation for Li4. Indeed:

Theorem. There is a resulting functional equation for Li4 in fourvariables consisting of . . . 931 terms.

Page 99: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

Mathematical ImpactA Conjecture of Goncharov

Method successfully used also to tackle an old (∼ 1992) questionof Goncharov, who reduced Zagier’s Conjecture on polylogarithmsfor weight 4, say, to two highly delicate combinatorial problems.

The first of these two problems boils down to the conjecture that acertain expression can be expressed in terms of Li4. By a remark ofN.Dan, one can take this expression to be I31(V (x , y), z), i.e. asum of five I31-terms, where V (x , y) denotes any variant of the5-term equation for the dilogarithm.

Theorem. There is an Li4–expression in three variables x, y , z,whose “symbol” agrees with the one for I31(V (x , y), z).Moreover, there is an explicit solution consisting of 122 terms.

Goncharov outlined how one should get from such an expression toa functional equation for Li4. Indeed:

Theorem. There is a resulting functional equation for Li4 in fourvariables consisting of . . . 931 terms.

Page 100: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

Mathematical ImpactA Conjecture of Goncharov

Method successfully used also to tackle an old (∼ 1992) questionof Goncharov, who reduced Zagier’s Conjecture on polylogarithmsfor weight 4, say, to two highly delicate combinatorial problems.

The first of these two problems boils down to the conjecture that acertain expression can be expressed in terms of Li4.

By a remark ofN.Dan, one can take this expression to be I31(V (x , y), z), i.e. asum of five I31-terms, where V (x , y) denotes any variant of the5-term equation for the dilogarithm.

Theorem. There is an Li4–expression in three variables x, y , z,whose “symbol” agrees with the one for I31(V (x , y), z).Moreover, there is an explicit solution consisting of 122 terms.

Goncharov outlined how one should get from such an expression toa functional equation for Li4. Indeed:

Theorem. There is a resulting functional equation for Li4 in fourvariables consisting of . . . 931 terms.

Page 101: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

Mathematical ImpactA Conjecture of Goncharov

Method successfully used also to tackle an old (∼ 1992) questionof Goncharov, who reduced Zagier’s Conjecture on polylogarithmsfor weight 4, say, to two highly delicate combinatorial problems.

The first of these two problems boils down to the conjecture that acertain expression can be expressed in terms of Li4. By a remark ofN.Dan, one can take this expression to be I31(V (x , y), z), i.e. asum of five I31-terms,

where V (x , y) denotes any variant of the5-term equation for the dilogarithm.

Theorem. There is an Li4–expression in three variables x, y , z,whose “symbol” agrees with the one for I31(V (x , y), z).Moreover, there is an explicit solution consisting of 122 terms.

Goncharov outlined how one should get from such an expression toa functional equation for Li4. Indeed:

Theorem. There is a resulting functional equation for Li4 in fourvariables consisting of . . . 931 terms.

Page 102: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

Mathematical ImpactA Conjecture of Goncharov

Method successfully used also to tackle an old (∼ 1992) questionof Goncharov, who reduced Zagier’s Conjecture on polylogarithmsfor weight 4, say, to two highly delicate combinatorial problems.

The first of these two problems boils down to the conjecture that acertain expression can be expressed in terms of Li4. By a remark ofN.Dan, one can take this expression to be I31(V (x , y), z), i.e. asum of five I31-terms, where V (x , y) denotes any variant of the5-term equation for the dilogarithm.

Theorem. There is an Li4–expression in three variables x, y , z,whose “symbol” agrees with the one for I31(V (x , y), z).Moreover, there is an explicit solution consisting of 122 terms.

Goncharov outlined how one should get from such an expression toa functional equation for Li4. Indeed:

Theorem. There is a resulting functional equation for Li4 in fourvariables consisting of . . . 931 terms.

Page 103: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

Mathematical ImpactA Conjecture of Goncharov

Method successfully used also to tackle an old (∼ 1992) questionof Goncharov, who reduced Zagier’s Conjecture on polylogarithmsfor weight 4, say, to two highly delicate combinatorial problems.

The first of these two problems boils down to the conjecture that acertain expression can be expressed in terms of Li4. By a remark ofN.Dan, one can take this expression to be I31(V (x , y), z), i.e. asum of five I31-terms, where V (x , y) denotes any variant of the5-term equation for the dilogarithm.

Theorem. There is an Li4–expression in three variables x, y , z,whose “symbol” agrees with the one for I31(V (x , y), z).

Moreover, there is an explicit solution consisting of 122 terms.

Goncharov outlined how one should get from such an expression toa functional equation for Li4. Indeed:

Theorem. There is a resulting functional equation for Li4 in fourvariables consisting of . . . 931 terms.

Page 104: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

Mathematical ImpactA Conjecture of Goncharov

Method successfully used also to tackle an old (∼ 1992) questionof Goncharov, who reduced Zagier’s Conjecture on polylogarithmsfor weight 4, say, to two highly delicate combinatorial problems.

The first of these two problems boils down to the conjecture that acertain expression can be expressed in terms of Li4. By a remark ofN.Dan, one can take this expression to be I31(V (x , y), z), i.e. asum of five I31-terms, where V (x , y) denotes any variant of the5-term equation for the dilogarithm.

Theorem. There is an Li4–expression in three variables x, y , z,whose “symbol” agrees with the one for I31(V (x , y), z).Moreover, there is an explicit solution consisting of 122 terms.

Goncharov outlined how one should get from such an expression toa functional equation for Li4. Indeed:

Theorem. There is a resulting functional equation for Li4 in fourvariables consisting of . . . 931 terms.

Page 105: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

Mathematical ImpactA Conjecture of Goncharov

Method successfully used also to tackle an old (∼ 1992) questionof Goncharov, who reduced Zagier’s Conjecture on polylogarithmsfor weight 4, say, to two highly delicate combinatorial problems.

The first of these two problems boils down to the conjecture that acertain expression can be expressed in terms of Li4. By a remark ofN.Dan, one can take this expression to be I31(V (x , y), z), i.e. asum of five I31-terms, where V (x , y) denotes any variant of the5-term equation for the dilogarithm.

Theorem. There is an Li4–expression in three variables x, y , z,whose “symbol” agrees with the one for I31(V (x , y), z).Moreover, there is an explicit solution consisting of 122 terms.

Goncharov outlined how one should get from such an expression toa functional equation for Li4. Indeed:

Theorem. There is a resulting functional equation for Li4 in fourvariables consisting of . . . 931 terms.

Page 106: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

Mathematical ImpactA Conjecture of Goncharov

Method successfully used also to tackle an old (∼ 1992) questionof Goncharov, who reduced Zagier’s Conjecture on polylogarithmsfor weight 4, say, to two highly delicate combinatorial problems.

The first of these two problems boils down to the conjecture that acertain expression can be expressed in terms of Li4. By a remark ofN.Dan, one can take this expression to be I31(V (x , y), z), i.e. asum of five I31-terms, where V (x , y) denotes any variant of the5-term equation for the dilogarithm.

Theorem. There is an Li4–expression in three variables x, y , z,whose “symbol” agrees with the one for I31(V (x , y), z).Moreover, there is an explicit solution consisting of 122 terms.

Goncharov outlined how one should get from such an expression toa functional equation for Li4. Indeed:

Theorem. There is a resulting functional equation for Li4 in fourvariables consisting of . . .

931 terms.

Page 107: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

Mathematical ImpactA Conjecture of Goncharov

Method successfully used also to tackle an old (∼ 1992) questionof Goncharov, who reduced Zagier’s Conjecture on polylogarithmsfor weight 4, say, to two highly delicate combinatorial problems.

The first of these two problems boils down to the conjecture that acertain expression can be expressed in terms of Li4. By a remark ofN.Dan, one can take this expression to be I31(V (x , y), z), i.e. asum of five I31-terms, where V (x , y) denotes any variant of the5-term equation for the dilogarithm.

Theorem. There is an Li4–expression in three variables x, y , z,whose “symbol” agrees with the one for I31(V (x , y), z).Moreover, there is an explicit solution consisting of 122 terms.

Goncharov outlined how one should get from such an expression toa functional equation for Li4. Indeed:

Theorem. There is a resulting functional equation for Li4 in fourvariables consisting of . . . 931 terms.

Page 108: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

A typical more complicated term has the form

(−1 + w)(−1 + xy)(1− y − z + xyz)

w(−1 + x)(−1 + y)y(−1 + wz)

After symmetrisation can reduce to 9 terms under a big symmetrygroup (S5 × S5 × S2):

Theorem. Let {cj}j = (−1, 2, 2, 4, 4, 8, 2, 3,−6); let Ai , Bj ∈ C(i , j = 1, . . . , 5). Then

9∑j=1

∑σ,τ∈S5

±L4

(fj(Aσ(1), . . . ,Aσ(5), cr(Bτ(1), . . . ,Bτ(4))

))is antisymmetric under A↔ B, where {fj}9j=1 are given by

f1(a, b, c , d , e, g) = −g(eabc − g)ecbd · eabd

(eabd − g)2,

f2(a, b, c , d , e, g) =g2

1− g

cade · cabe

eabd − g, . . .

Page 109: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

A typical more complicated term has the form

(−1 + w)(−1 + xy)(1− y − z + xyz)

w(−1 + x)(−1 + y)y(−1 + wz)

After symmetrisation can reduce to 9 terms under a big symmetrygroup (S5 × S5 × S2):

Theorem. Let {cj}j = (−1, 2, 2, 4, 4, 8, 2, 3,−6); let Ai , Bj ∈ C(i , j = 1, . . . , 5). Then

9∑j=1

∑σ,τ∈S5

±L4

(fj(Aσ(1), . . . ,Aσ(5), cr(Bτ(1), . . . ,Bτ(4))

))is antisymmetric under A↔ B, where {fj}9j=1 are given by

f1(a, b, c , d , e, g) = −g(eabc − g)ecbd · eabd

(eabd − g)2,

f2(a, b, c , d , e, g) =g2

1− g

cade · cabe

eabd − g, . . .

Page 110: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

A typical more complicated term has the form

(−1 + w)(−1 + xy)(1− y − z + xyz)

w(−1 + x)(−1 + y)y(−1 + wz)

After symmetrisation can reduce to 9 terms under a big symmetrygroup (S5 × S5 × S2):

Theorem. Let {cj}j = (−1, 2, 2, 4, 4, 8, 2, 3,−6); let Ai , Bj ∈ C(i , j = 1, . . . , 5). Then

9∑j=1

∑σ,τ∈S5

±L4

(fj(Aσ(1), . . . ,Aσ(5), cr(Bτ(1), . . . ,Bτ(4))

))is antisymmetric under A↔ B, where {fj}9j=1 are given by

f1(a, b, c , d , e, g) = −g(eabc − g)ecbd · eabd

(eabd − g)2,

f2(a, b, c , d , e, g) =g2

1− g

cade · cabe

eabd − g, . . .

Page 111: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

A typical more complicated term has the form

(−1 + w)(−1 + xy)(1− y − z + xyz)

w(−1 + x)(−1 + y)y(−1 + wz)

After symmetrisation can reduce to 9 terms under a big symmetrygroup (S5 × S5 × S2):

Theorem. Let {cj}j = (−1, 2, 2, 4, 4, 8, 2, 3,−6); let Ai , Bj ∈ C(i , j = 1, . . . , 5). Then

9∑j=1

∑σ,τ∈S5

±L4

(fj(Aσ(1), . . . ,Aσ(5), cr(Bτ(1), . . . ,Bτ(4))

))is antisymmetric under A↔ B, where {fj}9j=1 are given by

f1(a, b, c , d , e, g) = −g(eabc − g)ecbd · eabd

(eabd − g)2,

f2(a, b, c , d , e, g) =g2

1− g

cade · cabe

eabd − g, . . .

Page 112: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

A typical more complicated term has the form

(−1 + w)(−1 + xy)(1− y − z + xyz)

w(−1 + x)(−1 + y)y(−1 + wz)

After symmetrisation can reduce to 9 terms under a big symmetrygroup (S5 × S5 × S2):

Theorem. Let {cj}j = (−1, 2, 2, 4, 4, 8, 2, 3,−6); let Ai , Bj ∈ C(i , j = 1, . . . , 5). Then

9∑j=1

∑σ,τ∈S5

±L4

(fj(Aσ(1), . . . ,Aσ(5), cr(Bτ(1), . . . ,Bτ(4))

))is antisymmetric under A↔ B, where {fj}9j=1 are given by

f1(a, b, c , d , e, g) = −g(eabc − g)ecbd · eabd

(eabd − g)2,

f2(a, b, c , d , e, g) =g2

1− g

cade · cabe

eabd − g, . . .

Page 113: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

A higher Bloch group candidate in weight 4.

Zagier conjectures that, for F a number field and n ≥ 2, there is apresentation of some mysterious mathematical object. . . K2n−1(F )in terms of generators and relations as follows:

generators (roughly): elements in kernel of symbol map for Lin;relations: “universal” such elements, i.e. functional eqns for Lin.

Such a presentation, denoted the n-th higher Bloch group of F , isknown for n = 2 by combining work of Bloch, Borel and Suslin,and for n = 3 an explicit candidate was given by Goncharov in hisproof of an important corollary about the Dedekind zeta valueζF (3) (often also called Zagier’s Conjecture).

For higher n, no candidate has been given.

Punchline: We can now give an explicit candidate for K7(F ),using the functional equation in 931 terms mentioned above.

Page 114: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

A higher Bloch group candidate in weight 4.

Zagier conjectures that, for F a number field and n ≥ 2, there is apresentation of some mysterious mathematical object. . .

K2n−1(F )in terms of generators and relations as follows:

generators (roughly): elements in kernel of symbol map for Lin;relations: “universal” such elements, i.e. functional eqns for Lin.

Such a presentation, denoted the n-th higher Bloch group of F , isknown for n = 2 by combining work of Bloch, Borel and Suslin,and for n = 3 an explicit candidate was given by Goncharov in hisproof of an important corollary about the Dedekind zeta valueζF (3) (often also called Zagier’s Conjecture).

For higher n, no candidate has been given.

Punchline: We can now give an explicit candidate for K7(F ),using the functional equation in 931 terms mentioned above.

Page 115: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

A higher Bloch group candidate in weight 4.

Zagier conjectures that, for F a number field and n ≥ 2, there is apresentation of some mysterious mathematical object. . . K2n−1(F )in terms of generators and relations as follows:

generators (roughly): elements in kernel of symbol map for Lin;relations: “universal” such elements, i.e. functional eqns for Lin.

Such a presentation, denoted the n-th higher Bloch group of F , isknown for n = 2 by combining work of Bloch, Borel and Suslin,and for n = 3 an explicit candidate was given by Goncharov in hisproof of an important corollary about the Dedekind zeta valueζF (3) (often also called Zagier’s Conjecture).

For higher n, no candidate has been given.

Punchline: We can now give an explicit candidate for K7(F ),using the functional equation in 931 terms mentioned above.

Page 116: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

A higher Bloch group candidate in weight 4.

Zagier conjectures that, for F a number field and n ≥ 2, there is apresentation of some mysterious mathematical object. . . K2n−1(F )in terms of generators and relations as follows:

generators (roughly): elements in kernel of symbol map for Lin;

relations: “universal” such elements, i.e. functional eqns for Lin.

Such a presentation, denoted the n-th higher Bloch group of F , isknown for n = 2 by combining work of Bloch, Borel and Suslin,and for n = 3 an explicit candidate was given by Goncharov in hisproof of an important corollary about the Dedekind zeta valueζF (3) (often also called Zagier’s Conjecture).

For higher n, no candidate has been given.

Punchline: We can now give an explicit candidate for K7(F ),using the functional equation in 931 terms mentioned above.

Page 117: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

A higher Bloch group candidate in weight 4.

Zagier conjectures that, for F a number field and n ≥ 2, there is apresentation of some mysterious mathematical object. . . K2n−1(F )in terms of generators and relations as follows:

generators (roughly): elements in kernel of symbol map for Lin;relations: “universal” such elements, i.e. functional eqns for Lin.

Such a presentation, denoted the n-th higher Bloch group of F , isknown for n = 2 by combining work of Bloch, Borel and Suslin,and for n = 3 an explicit candidate was given by Goncharov in hisproof of an important corollary about the Dedekind zeta valueζF (3) (often also called Zagier’s Conjecture).

For higher n, no candidate has been given.

Punchline: We can now give an explicit candidate for K7(F ),using the functional equation in 931 terms mentioned above.

Page 118: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

A higher Bloch group candidate in weight 4.

Zagier conjectures that, for F a number field and n ≥ 2, there is apresentation of some mysterious mathematical object. . . K2n−1(F )in terms of generators and relations as follows:

generators (roughly): elements in kernel of symbol map for Lin;relations: “universal” such elements, i.e. functional eqns for Lin.

Such a presentation, denoted the n-th higher Bloch group of F , isknown for n = 2 by combining work of Bloch, Borel and Suslin,

and for n = 3 an explicit candidate was given by Goncharov in hisproof of an important corollary about the Dedekind zeta valueζF (3) (often also called Zagier’s Conjecture).

For higher n, no candidate has been given.

Punchline: We can now give an explicit candidate for K7(F ),using the functional equation in 931 terms mentioned above.

Page 119: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

A higher Bloch group candidate in weight 4.

Zagier conjectures that, for F a number field and n ≥ 2, there is apresentation of some mysterious mathematical object. . . K2n−1(F )in terms of generators and relations as follows:

generators (roughly): elements in kernel of symbol map for Lin;relations: “universal” such elements, i.e. functional eqns for Lin.

Such a presentation, denoted the n-th higher Bloch group of F , isknown for n = 2 by combining work of Bloch, Borel and Suslin,and for n = 3 an explicit candidate was given by Goncharov in hisproof of an important corollary about the Dedekind zeta valueζF (3) (often also called Zagier’s Conjecture).

For higher n, no candidate has been given.

Punchline: We can now give an explicit candidate for K7(F ),using the functional equation in 931 terms mentioned above.

Page 120: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

A higher Bloch group candidate in weight 4.

Zagier conjectures that, for F a number field and n ≥ 2, there is apresentation of some mysterious mathematical object. . . K2n−1(F )in terms of generators and relations as follows:

generators (roughly): elements in kernel of symbol map for Lin;relations: “universal” such elements, i.e. functional eqns for Lin.

Such a presentation, denoted the n-th higher Bloch group of F , isknown for n = 2 by combining work of Bloch, Borel and Suslin,and for n = 3 an explicit candidate was given by Goncharov in hisproof of an important corollary about the Dedekind zeta valueζF (3) (often also called Zagier’s Conjecture).

For higher n, no candidate has been given.

Punchline: We can now give an explicit candidate for K7(F ),using the functional equation in 931 terms mentioned above.

Page 121: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

A higher Bloch group candidate in weight 4.

Zagier conjectures that, for F a number field and n ≥ 2, there is apresentation of some mysterious mathematical object. . . K2n−1(F )in terms of generators and relations as follows:

generators (roughly): elements in kernel of symbol map for Lin;relations: “universal” such elements, i.e. functional eqns for Lin.

Such a presentation, denoted the n-th higher Bloch group of F , isknown for n = 2 by combining work of Bloch, Borel and Suslin,and for n = 3 an explicit candidate was given by Goncharov in hisproof of an important corollary about the Dedekind zeta valueζF (3) (often also called Zagier’s Conjecture).

For higher n, no candidate has been given.

Punchline: We can now give an explicit candidate for K7(F ),using the functional equation in 931 terms mentioned above.

Page 122: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

Summary

• non-trivial fctl eqs not easy to come by, even for classical polylogs

• in weights ≤ 3, classical polylogs cover all MPL’s

• for weight ≥ 4, need a grip on new functions, e.g. I31, I1111

• found new fctl eqs for MPL’s in weight 4 (different depths)

• solved an old question of Goncharov, amounting to expressI31(V (x , y), z) via Li4.

Page 123: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

Summary

• non-trivial fctl eqs not easy to come by, even for classical polylogs

• in weights ≤ 3, classical polylogs cover all MPL’s

• for weight ≥ 4, need a grip on new functions, e.g. I31, I1111

• found new fctl eqs for MPL’s in weight 4 (different depths)

• solved an old question of Goncharov, amounting to expressI31(V (x , y), z) via Li4.

Page 124: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

Summary

• non-trivial fctl eqs not easy to come by, even for classical polylogs

• in weights ≤ 3, classical polylogs cover all MPL’s

• for weight ≥ 4, need a grip on new functions, e.g. I31, I1111

• found new fctl eqs for MPL’s in weight 4 (different depths)

• solved an old question of Goncharov, amounting to expressI31(V (x , y), z) via Li4.

Page 125: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

Summary

• non-trivial fctl eqs not easy to come by, even for classical polylogs

• in weights ≤ 3, classical polylogs cover all MPL’s

• for weight ≥ 4, need a grip on new functions, e.g. I31, I1111

• found new fctl eqs for MPL’s in weight 4 (different depths)

• solved an old question of Goncharov, amounting to expressI31(V (x , y), z) via Li4.

Page 126: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

Summary

• non-trivial fctl eqs not easy to come by, even for classical polylogs

• in weights ≤ 3, classical polylogs cover all MPL’s

• for weight ≥ 4, need a grip on new functions, e.g. I31, I1111

• found new fctl eqs for MPL’s in weight 4 (different depths)

• solved an old question of Goncharov, amounting to expressI31(V (x , y), z) via Li4.

Page 127: Functional equations for multiple polylogarithms · Functional equations for multiple polylogarithms Herbert Gangl Durham University Amplitudes 2013, 30.4.13. Outline functional equations

Summary

• non-trivial fctl eqs not easy to come by, even for classical polylogs

• in weights ≤ 3, classical polylogs cover all MPL’s

• for weight ≥ 4, need a grip on new functions, e.g. I31, I1111

• found new fctl eqs for MPL’s in weight 4 (different depths)

• solved an old question of Goncharov, amounting to expressI31(V (x , y), z) via Li4.