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Blaschke products, Poncelet’s theorem, and Operator Theory Pamela Gorkin Bucknell University October, 2015

Blaschke products, Poncelet's theorem, and Operator Theory · 2019. 8. 16. · Blaschke products,Poncelet’s theorem, and Operator Theory Pamela Gorkin Bucknell University October,

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  • Blaschke products, Poncelet’s theorem, andOperator Theory

    Pamela Gorkin

    Bucknell University

    October, 2015

  • Three questions

  • Three questions

  • Numerical range

    A an n ⇥ n matrix.The numerical range of A is W (A) = {hAx , xi : kxk = 1}.

    Why the numerical range?

    Contains eigenvalues of A : hAx , xi = h�x , xi = �hx , xi = �.

    Compare the zero matrix and the n ⇥ n Jordan block: (Here’s the2⇥ 2)

    A1 =

    0 00 0

    �,A2 =

    0 10 0

    �.

    W (A1) = {0},W (A2) = {z : |z | 1/2}.

  • Numerical range

    A an n ⇥ n matrix.The numerical range of A is W (A) = {hAx , xi : kxk = 1}.

    Why the numerical range?

    Contains eigenvalues of A : hAx , xi = h�x , xi = �hx , xi = �.

    Compare the zero matrix and the n ⇥ n Jordan block: (Here’s the2⇥ 2)

    A1 =

    0 00 0

    �,A2 =

    0 10 0

    �.

    W (A1) = {0},W (A2) = {z : |z | 1/2}.

  • Numerical range

    A an n ⇥ n matrix.The numerical range of A is W (A) = {hAx , xi : kxk = 1}.

    Why the numerical range?

    Contains eigenvalues of A : hAx , xi = h�x , xi = �hx , xi = �.

    Compare the zero matrix and the n ⇥ n Jordan block: (Here’s the2⇥ 2)

    A1 =

    0 00 0

    �,A2 =

    0 10 0

    �.

    W (A1) = {0},W (A2) = {z : |z | 1/2}.

  • Numerical range

    A an n ⇥ n matrix.The numerical range of A is W (A) = {hAx , xi : kxk = 1}.

    Why the numerical range?

    Contains eigenvalues of A : hAx , xi = h�x , xi = �hx , xi = �.

    Compare the zero matrix and the n ⇥ n Jordan block: (Here’s the2⇥ 2)

    A1 =

    0 00 0

    �,A2 =

    0 10 0

    �.

    W (A1) = {0},W (A2) = {z : |z | 1/2}.

  • Q1. What’s the numerical range of an n ⇥ n matrix A?

    Starter question: What’s the numerical range of a 2⇥ 2 matrix A?

  • Blaschke products

    B(z) = �nY

    j=1

    z � aj1� ajz , where aj 2 D, |�| = 1.

    Basic fact: A Blaschke product of degree n maps the unit circleonto itself n times.

  • Question 2: What happens when we connect the points Bidentifies on the unit circle; i.e., the n points for which B(z) = �for each � 2 T?Starter question: If B is degree three, we connect the 3 points forwhich B(z) = � for each � 2 T; so we have triangles associatedwith points in T. Is there a connection between all of thesetriangles?

  • Poncelet’s theorem

    Let E1 and E2 be ellipses with E1 entirely contained in E2.”Shoot” as indicated in the picture:

  • Maybe the ball just keeps moving, forever – never returning to thestarting point. Maybe, though, it does return to the initial point.

  • Poncelet’s theorem says that if you shoot according to this ruleand the path closes in n steps, then no matter where you begin thepath will close in n steps.

  • Poncelet’s theorem says that if you shoot according to this ruleand the path closes in n steps, then no matter where you begin thepath will close in n steps.

  • Question 3. Why does this happen?

    Starter question. Why does this happen for triangles?

  • Amazing fact

    These three questions are all the same.

  • Why?

  • Numerical Range

    W (A) = {hAx , xi : kxk = 1}.Theorem (Elliptical range theorem)

    Let A be a 2⇥ 2 matrix with eigenvalues a and b. Then thenumerical range of A is an elliptical disk with foci at a and b andminor axis given by ( tr(A?A)� |a|2 � |b|2)1/2.

    Interesting consequence

    Theorem (The Toeplitz-Hausdor↵ Theorem; 1918)

    The numerical range of an n ⇥ n matrix is convex.

  • Numerical Range

    W (A) = {hAx , xi : kxk = 1}.Theorem (Elliptical range theorem)

    Let A be a 2⇥ 2 matrix with eigenvalues a and b. Then thenumerical range of A is an elliptical disk with foci at a and b andminor axis given by ( tr(A?A)� |a|2 � |b|2)1/2.

    Interesting consequence

    Theorem (The Toeplitz-Hausdor↵ Theorem; 1918)

    The numerical range of an n ⇥ n matrix is convex.

  • Remark: Every unitary matrix is unitarily equivalent to a diagonalmatrix, with its eigenvalues on the diagonal. If

    A =

    2

    4�1 0 00 �2 00 0 �3

    3

    5

    then hA1x , xi =P3

    j=1 �j |xj |2, which is the convex hull of theeigenvalues.

    Fact: The numerical range of a unitary matrix is the convex hullof its eigenvalues.

  • Blaschke products

    Example. The Blaschke product with zeros at 0, 0.5 + 0.5i and�0.5 + 0.5i .

    Figure: One, two and many triangles

  • Blaschke products

    Example. The Blaschke product with zeros at 0, 0.5 + 0.5i and�0.5 + 0.5i .

    Figure: One, two and many triangles

  • Blaschke products

    Example. The Blaschke product with zeros at 0, 0.5 + 0.5i and�0.5 + 0.5i .

    Figure: A Blaschke 3-ellipse

    A Blaschke 3-ellipse is an example of a Poncelet 3-ellipse.

    For every a, b 2 D, there is a Poncelet 3-ellipse with those as foci.

  • What would these be “the same”?

    Theorem (Daepp, G., Mortini)

    Let B be a Blaschke product with zeros 0, a1 and a2. For � 2 T,let z1, z2 and z3 be the distinct solutions to B(z) = �. Then thelines joining zj and zk , for j 6= k , are tangent to the ellipse given by

    |w � a1|+ |w � a2| = |1� a1a2|.

    Conversely, every point on the ellipse is the point of tangency of aline segment that intersects T at points for which B(z1) = B(z2).

    Theorem (Elliptical range theorem)

    Let A be a 2⇥ 2 matrix with eigenvalues a and b. Then thenumerical range of A is an elliptical disk with foci at a and b andminor axis given by (tr(A?A)� |a|2 � |b|2)1/2.

  • What would these be “the same”?

    Theorem (Daepp, G., Mortini)

    Let B be a Blaschke product with zeros 0, a1 and a2. For � 2 T,let z1, z2 and z3 be the distinct solutions to B(z) = �. Then thelines joining zj and zk , for j 6= k , are tangent to the ellipse given by

    |w � a1|+ |w � a2| = |1� a1a2|.

    Conversely, every point on the ellipse is the point of tangency of aline segment that intersects T at points for which B(z1) = B(z2).

    Theorem (Elliptical range theorem)

    Let A be a 2⇥ 2 matrix with eigenvalues a and b. Then thenumerical range of A is an elliptical disk with foci at a and b andminor axis given by (tr(A?A)� |a|2 � |b|2)1/2.

  • The connection

  • A special class of matrices

    Let a and b be the zeros of the Blaschke product.

    A =

    a

    p1� |a|2p1� |b|2

    0 b

    �.

    The numerical range of A is the elliptical disk with foci a and band the length of the major axis is |1� ab|.

    What’s the connection? The boundary of the numerical range ofthis A is our Blaschke ellipse.

  • A special class of matrices

    Let a and b be the zeros of the Blaschke product.

    A =

    a

    p1� |a|2p1� |b|2

    0 b

    �.

    The numerical range of A is the elliptical disk with foci a and band the length of the major axis is |1� ab|.What’s the connection? The boundary of the numerical range ofthis A is our Blaschke ellipse.

  • The takeaway

    A =

    a

    p1� |a|2p1� |b|2

    0 b

    �.

    1 A has a unitary 1-dilation.

    2 A is a contraction; (Ax = U�

    x

    0

    �)

    3 The defect indices rank(I � A?A) = rank(I � AA?) = 1.

    Look at unitary dilations of A. For � 2 T

    U� =

    2

    4a

    p1� |a|2p1� |b|2 �bp1� |a|2

    0 bp

    1� |b|2�p1� |a|2 ��ap1� |b|2 �ab

    3

    5

  • The takeaway

    A =

    a

    p1� |a|2p1� |b|2

    0 b

    �.

    1 A has a unitary 1-dilation.

    2 A is a contraction; (Ax = U�

    x

    0

    �)

    3 The defect indices rank(I � A?A) = rank(I � AA?) = 1.

    Look at unitary dilations of A. For � 2 T

    U� =

    2

    4a

    p1� |a|2p1� |b|2 �bp1� |a|2

    0 bp1� |b|2

    �p1� |a|2 ��ap1� |b|2 �ab

    3

    5

  • Paul Halmos asked, essentially, “What can unitary dilations tellyou about your operator?”

    Figure: me, Sheldon Axler, Don Sarason, Paul Halmos

    W (A) = \↵{W (U↵) : U↵ a unitary dilation of A}and for our special matrices

    W (A) = \↵{W (U↵) : U↵ a unitary 1-dilation of A}

  • Paul Halmos asked, essentially, “What can unitary dilations tellyou about your operator?”

    Figure: me, Sheldon Axler, Don Sarason, Paul Halmos

    W (A) = \↵{W (U↵) : U↵ a unitary dilation of A}and for our special matrices

    W (A) = \↵{W (U↵) : U↵ a unitary 1-dilation of A}

  • Paul Halmos asked, essentially, “What can unitary dilations tellyou about your operator?”

    Figure: me, Sheldon Axler, Don Sarason, Paul Halmos

    W (A) = \↵{W (U↵) : U↵ a unitary dilation of A}

    and for our special matrices

    W (A) = \↵{W (U↵) : U↵ a unitary 1-dilation of A}

  • Paul Halmos asked, essentially, “What can unitary dilations tellyou about your operator?”

    Figure: me, Sheldon Axler, Don Sarason, Paul Halmos

    W (A) = \↵{W (U↵) : U↵ a unitary dilation of A}and for our special matrices

    W (A) = \↵{W (U↵) : U↵ a unitary 1-dilation of A}

  • • The numerical range of a unitary matrix is the convex hull of itseigenvalues.

    Question: What are the eigenvalues of our matrices U�? We needto compute the characteristic polynomial.

    The characteristic polynomial of zI � U� is

    z(z � a)(z � b)� �(1� az)(1� bz).

    The eigenvalues of U� are the points on the unit circle that satisfy

    z(z � a)(z � b)(1� az)(1� bz) = �.

  • • The numerical range of a unitary matrix is the convex hull of itseigenvalues.

    Question: What are the eigenvalues of our matrices U�? We needto compute the characteristic polynomial.

    The characteristic polynomial of zI � U� is

    z(z � a)(z � b)� �(1� az)(1� bz).

    The eigenvalues of U� are the points on the unit circle that satisfy

    z(z � a)(z � b)(1� az)(1� bz) = �.

  • • The numerical range of a unitary matrix is the convex hull of itseigenvalues.

    Question: What are the eigenvalues of our matrices U�? We needto compute the characteristic polynomial.

    The characteristic polynomial of zI � U� is

    z(z � a)(z � b)� �(1� az)(1� bz).

    The eigenvalues of U� are the points on the unit circle that satisfy

    B(z) =z(z � a)(z � b)(1� az)(1� bz) = �.

  • Figure: One, two and many triangles

  • And now we also see the connection to Poncelet’s theorem!

  • Figure: One, two and many triangles

  • Blaschke ! Poncelet; Poncelet ! Blaschke?Every Blaschke 3-ellipse is a Poncelet 3-ellipse. Conversely?

    Take a Poncelet 3-ellipse and the Blaschke ellipse with same foci.

    They can’t both be inscribed in triangles unless...

    So Blaschke 3-ellipses and Poncelet 3-ellipses are the same.

  • Blaschke ! Poncelet; Poncelet ! Blaschke?Every Blaschke 3-ellipse is a Poncelet 3-ellipse. Conversely?

    z1

    z2

    z3

    w2

    w3

    E1

    E2

    Take a Poncelet 3-ellipse and the Blaschke ellipse with same foci.

    They can’t both be inscribed in triangles unless...

    So Blaschke 3-ellipses and Poncelet 3-ellipses are the same.

  • Blaschke ! Poncelet; Poncelet ! Blaschke?Every Blaschke 3-ellipse is a Poncelet 3-ellipse. Conversely?

    z1

    z2

    z3

    w2

    w3

    E1

    E2

    Take a Poncelet 3-ellipse and the Blaschke ellipse with same foci.

    They can’t both be inscribed in triangles unless...

    So Blaschke 3-ellipses and Poncelet 3-ellipses are the same.

  • But that’s a pretty weird matrix, isnt’ it?

    Actually, no it’s not.

  • But that’s a pretty weird matrix, isnt’ it?

    Actually, no it’s not.

  • Operator theory

    H2 is the Hardy space; f (z) =P1

    n=0 anzn where

    P1n=0 |an|2

  • What’s the model space?

    Theorem

    Let U be inner. Then KU = H2 \ U zH2.

    So {f 2 H2 : f = gzU a.e. for some g 2 H2}.

    Consider KB where B(z) =Qn

    j=1z�aj1�aj z .

    Consider the Szegö kernel: ga(z) =1

    1� az .

    • hf , gai = f (a) for all f 2 H2.• So hBh, gaj i = B(aj)h(aj) = 0 for all h 2 H2.So gaj 2 KB for j = 1, 2, . . . , n.

    If aj are distinct, KB = span{gaj : j = 1, . . . , n}.

  • What’s the model space?

    Theorem

    Let U be inner. Then KU = H2 \ U zH2.

    So {f 2 H2 : f = gzU a.e. for some g 2 H2}.

    Consider KB where B(z) =Qn

    j=1z�aj1�aj z .

    Consider the Szegö kernel: ga(z) =1

    1� az .

    • hf , gai = f (a) for all f 2 H2.

    • So hBh, gaj i = B(aj)h(aj) = 0 for all h 2 H2.So gaj 2 KB for j = 1, 2, . . . , n.

    If aj are distinct, KB = span{gaj : j = 1, . . . , n}.

  • What’s the model space?

    Theorem

    Let U be inner. Then KU = H2 \ U zH2.

    So {f 2 H2 : f = gzU a.e. for some g 2 H2}.

    Consider KB where B(z) =Qn

    j=1z�aj1�aj z .

    Consider the Szegö kernel: ga(z) =1

    1� az .

    • hf , gai = f (a) for all f 2 H2.• So hBh, gaj i = B(aj)h(aj) = 0 for all h 2 H2.

    So gaj 2 KB for j = 1, 2, . . . , n.

    If aj are distinct, KB = span{gaj : j = 1, . . . , n}.

  • What’s the model space?

    Theorem

    Let U be inner. Then KU = H2 \ U zH2.

    So {f 2 H2 : f = gzU a.e. for some g 2 H2}.

    Consider KB where B(z) =Qn

    j=1z�aj1�aj z .

    Consider the Szegö kernel: ga(z) =1

    1� az .

    • hf , gai = f (a) for all f 2 H2.• So hBh, gaj i = B(aj)h(aj) = 0 for all h 2 H2.So gaj 2 KB for j = 1, 2, . . . , n.

    If aj are distinct, KB = span{gaj : j = 1, . . . , n}.

  • Compressions of the shift

    Consider the compression of the shift: SB : KB ! KB defined by

    SB(f ) = PBS(f ),

    where PB is the orthogonal projection from H2 onto KB .

    Applying Gram-Schmidt to the kernels we get the Takenaka basis:Let ba(z) =

    z�a1�az and

    {p1� |a1|21� a1z , ba1

    p1� |a2|21� a2z , . . .

    k�1Y

    j=1

    baj

    p1� |ak |21� akz , . . .}.

    What’s the matrix representation for SB with respect to this basis?

  • For two zeros it’s...

    A =

    a

    p1� |a|2p1� |b|2

    0 b

    �.

    So A is the matrix representing SB when B has two zeros a and b.

    So, the numerical range of SB is an elliptical disk, because thematrix is 2⇥ 2.

  • For two zeros it’s...

    A =

    a

    p1� |a|2p1� |b|2

    0 b

    �.

    So A is the matrix representing SB when B has two zeros a and b.

    So, the numerical range of SB is an elliptical disk, because thematrix is 2⇥ 2.

  • For two zeros it’s...

    A =

    a

    p1� |a|2p1� |b|2

    0 b

    �.

    So A is the matrix representing SB when B has two zeros a and b.

    So, the numerical range of SB is an elliptical disk, because thematrix is 2⇥ 2.

  • • The numerical range of our 2⇥ 2 matrix A is the intersection ofthe numerical ranges of its unitary dilations.

    The picture would be triangles that intersect to give you an ellipse.

    • If we take the two foci and add a zero at zero, we have aBlaschke product of degree 3.

    If we join the three points B sends to each point � on the circle,we’ll see triangles that intersect to give you an ellipse.

    • These ellipses are precisely the Poncelet 3-ellipses.

    Does all this work for larger matrices?

  • • The numerical range of our 2⇥ 2 matrix A is the intersection ofthe numerical ranges of its unitary dilations.

    The picture would be triangles that intersect to give you an ellipse.

    • If we take the two foci and add a zero at zero, we have aBlaschke product of degree 3.

    If we join the three points B sends to each point � on the circle,we’ll see triangles that intersect to give you an ellipse.

    • These ellipses are precisely the Poncelet 3-ellipses.

    Does all this work for larger matrices?

  • • The numerical range of our 2⇥ 2 matrix A is the intersection ofthe numerical ranges of its unitary dilations.

    The picture would be triangles that intersect to give you an ellipse.

    • If we take the two foci and add a zero at zero, we have aBlaschke product of degree 3.

    If we join the three points B sends to each point � on the circle,we’ll see triangles that intersect to give you an ellipse.

    • These ellipses are precisely the Poncelet 3-ellipses.

    Does all this work for larger matrices?

  • The n ⇥ n matrix A is2

    666666664

    a1p1� |a1|2

    p1� |a2|2 . . . (

    Qn�1k=2(�ak))

    p1� |a1|2

    p1� |an|2

    0 a2 . . . (Qn�1

    k=3(�ak))p1� |a2|2

    p1� |an|2

    . . . . . . . . . . . .

    0 0 0 an

    3

    777777775

    The unitary 1-dilation of A is given by

    bij =

    8>><

    >>:

    aij if 1 i , j n,��Qj�1

    k=1(�ak)�p

    1� |aj |2 if i = n + 1 and 1 j n,�Qnk=i+1(�ak)

    �p1� |ai |2 if j = n + 1 and 1 i n,

    �Qn

    k=1(�ak) if i = j = n + 1.

  • An interesting special case

    This class of matrices is called Sn. These matrices have unitary1-dilations, no eigenvalues of modulus 1, and are contractions.

    Still, they may seem special. So here are some examples you arefamiliar with:

    When the Blaschke product is B(z) = zn, the matrix A is then ⇥ n Jordan block.

    Theorem (Haagerup, de la Harpe 1992)

    The numerical range of the n ⇥ n Jordan block is a circular disk ofradius cos(⇡/(n + 1)).

  • An interesting special case

    This class of matrices is called Sn. These matrices have unitary1-dilations, no eigenvalues of modulus 1, and are contractions.

    Still, they may seem special. So here are some examples you arefamiliar with:

    When the Blaschke product is B(z) = zn, the matrix A is then ⇥ n Jordan block.

    Theorem (Haagerup, de la Harpe 1992)

    The numerical range of the n ⇥ n Jordan block is a circular disk ofradius cos(⇡/(n + 1)).

  • An interesting special case

    This class of matrices is called Sn. These matrices have unitary1-dilations, no eigenvalues of modulus 1, and are contractions.

    Still, they may seem special. So here are some examples you arefamiliar with:

    When the Blaschke product is B(z) = zn, the matrix A is then ⇥ n Jordan block.

    Theorem (Haagerup, de la Harpe 1992)

    The numerical range of the n ⇥ n Jordan block is a circular disk ofradius cos(⇡/(n + 1)).

  • Generalizing these results

    Theorem (Gau, Wu)

    For any matrix A in Sn and any point � 2 T there is an(n + 1)-gon inscribed in T that circumscribes the boundary ofW (A) and has � as a vertex.

    5 curve.pdf curve.pdf

    Figure: Poncelet curves

    Some geometric properties remain, but these are no longer ellipses.

  • Generalizing these results

    Theorem (Gau, Wu)

    For any matrix A in Sn and any point � 2 T there is an(n + 1)-gon inscribed in T that circumscribes the boundary ofW (A) and has � as a vertex.

    5 curve.pdf

    curve.pdf

    Figure: Poncelet curves

    Some geometric properties remain, but these are no longer ellipses.

  • Question: When is the numerical range of a matrix in Sn an elliptical disk?

  • Fujimura, 2013

    Let’s look at 3⇥ 3 matrices.Note: For 2⇥ 2 we looked at ellipses inscribed in triangles.

    Theorem

    Let E be an ellipse. TFAE:• E is inscribed in a quadrilateral inscribed in T;• For some a, b 2 D, the ellipse E is defined by the equation

    |z � a|+ |z � b| = |1� ab|s

    |a|2 + |b|2 � 2|ab|2 � 1 .

    Let B have zeros a, b, c and B1(z) = zB(z).

    Lemma (The Composition Lemma)

    A quadrilateral inscribed in T circumscribes an ellipse E i↵ E isassociated with B1 and B1 is the composition of two degree-2normalized Blaschke products.

  • Fujimura, 2013

    Let’s look at 3⇥ 3 matrices.Note: For 2⇥ 2 we looked at ellipses inscribed in triangles.Theorem

    Let E be an ellipse. TFAE:• E is inscribed in a quadrilateral inscribed in T;• For some a, b 2 D, the ellipse E is defined by the equation

    |z � a|+ |z � b| = |1� ab|s

    |a|2 + |b|2 � 2|ab|2 � 1 .

    Let B have zeros a, b, c and B1(z) = zB(z).

    Lemma (The Composition Lemma)

    A quadrilateral inscribed in T circumscribes an ellipse E i↵ E isassociated with B1 and B1 is the composition of two degree-2normalized Blaschke products.

  • Fujimura, 2013

    Let’s look at 3⇥ 3 matrices.Note: For 2⇥ 2 we looked at ellipses inscribed in triangles.Theorem

    Let E be an ellipse. TFAE:• E is inscribed in a quadrilateral inscribed in T;• For some a, b 2 D, the ellipse E is defined by the equation

    |z � a|+ |z � b| = |1� ab|s

    |a|2 + |b|2 � 2|ab|2 � 1 .

    Let B have zeros a, b, c and B1(z) = zB(z).

    Lemma (The Composition Lemma)

    A quadrilateral inscribed in T circumscribes an ellipse E i↵ E isassociated with B1 and B1 is the composition of two degree-2normalized Blaschke products.

  • Fujimura, 2013

    Let’s look at 3⇥ 3 matrices.Note: For 2⇥ 2 we looked at ellipses inscribed in triangles.Theorem

    Let E be an ellipse. TFAE:• E is inscribed in a quadrilateral inscribed in T;• For some a, b 2 D, the ellipse E is defined by the equation

    |z � a|+ |z � b| = |1� ab|s

    |a|2 + |b|2 � 2|ab|2 � 1 .

    Let B have zeros a, b, c and B1(z) = zB(z).

    Lemma (The Composition Lemma)

    A quadrilateral inscribed in T circumscribes an ellipse E i↵ E isassociated with B1 and B1 is the composition of two degree-2normalized Blaschke products.

  • A (very) brief look at the projective geometry side of this

    Write A = H + iK with H,K Hermitian and let

    LA(u, v ,w) = det(uH + vK + wI ),

    where u, v ,w are viewed as line coordinates.

    LA(u, v ,w) = 0 defines an algebraic curve of class n (LA hasdegree n).

    The real part of this curve is called the Kippenhahn curve, C (A),and W (A) is the convex hull of C (A).

    Kippenhahn gave a classification scheme depending on how LAfactors when n = 3.

  • Kippenhahn, 1951

    LA factors into three linear factors: Then C (A) consists of threepoints.

    LA factors into a linear factor and a quadratic factor: Then C (A)consists of a point �0 and an ellipse.

  • Keeler, Rodman, Spitkovsky, 1997

    Theorem

    Let A be a 3⇥ 3 matrix with eigenvalues a, b, c of the form

    A =

    0

    @a x y0 b z0 0 c

    1

    A

    Then W (A) is an elliptical disk if and only if all the following hold:

    1 d = |x |2 + |y |2 + |z |2 > 0;2 The number � = (c |x |2 + b|y |2 + a|z |2 � xyz)/d coincides

    with at least one of the eigenvalues a, b, c ;

    3 If �j denote the eigenvalues of A for j = 1, 2, 3 and � = �3then (|�1 � �3|+ |�2 � �3|)2 � |�1 � �2|2 d .

    So one of these points is special.

  • What KRS means to us

    Theorem (G., Wagner)

    Let B be have zeroes at a, b, and c and SB the correspondingcompression of the shift. TFAE:

    (1)The numerical range of SB is an elliptical disk;

    (2) B1(z) = zB(z) is a composition;

    (3) The intersection of the closed regions bounded by thequadrilaterals connecting the points identified by B1(z) = zB(z) isan elliptical disk.

    The equation of the ellipse that we obtain is (d = |x |2+ |y |2+ |z |2)|z � b|+ |z � c | = pd + |b � c |2

    versus |1� bc |q

    2�|b|2�|c|21�|bc|2 .

    Hmmmm...these look di↵erent! But they can’t be!

  • What KRS means to us

    Theorem (G., Wagner)

    Let B be have zeroes at a, b, and c and SB the correspondingcompression of the shift. TFAE:

    (1)The numerical range of SB is an elliptical disk;

    (2) B1(z) = zB(z) is a composition;

    (3) The intersection of the closed regions bounded by thequadrilaterals connecting the points identified by B1(z) = zB(z) isan elliptical disk.

    The equation of the ellipse that we obtain is (d = |x |2+ |y |2+ |z |2)|z � b|+ |z � c | = pd + |b � c |2 versus |1� bc |

    q2�|b|2�|c|21�|bc|2 .

    Hmmmm...these look di↵erent! But they can’t be!

  • What KRS means to us

    Theorem (G., Wagner)

    Let B be have zeroes at a, b, and c and SB the correspondingcompression of the shift. TFAE:

    (1)The numerical range of SB is an elliptical disk;

    (2) B1(z) = zB(z) is a composition;

    (3) The intersection of the closed regions bounded by thequadrilaterals connecting the points identified by B1(z) = zB(z) isan elliptical disk.

    The equation of the ellipse that we obtain is (d = |x |2+ |y |2+ |z |2)|z � b|+ |z � c | = pd + |b � c |2 versus |1� bc |

    q2�|b|2�|c|21�|bc|2 .

    Hmmmm...these look di↵erent!

    But they can’t be!

  • What KRS means to us

    Theorem (G., Wagner)

    Let B be have zeroes at a, b, and c and SB the correspondingcompression of the shift. TFAE:

    (1)The numerical range of SB is an elliptical disk;

    (2) B1(z) = zB(z) is a composition;

    (3) The intersection of the closed regions bounded by thequadrilaterals connecting the points identified by B1(z) = zB(z) isan elliptical disk.

    The equation of the ellipse that we obtain is (d = |x |2+ |y |2+ |z |2)|z � b|+ |z � c | = pd + |b � c |2 versus |1� bc |

    q2�|b|2�|c|21�|bc|2 .

    Hmmmm...these look di↵erent! But they can’t be!

  • Theorem

    Let n 2 Z+ with n � 3. For b, c 2 D, there is at most onePoncelet n-ellipse with foci at b and c .

    Let 'a(z) =a� z1� az .

    Corollary

    An ellipse is a Poncelet 4-ellipse only if there exists a 2 D suchthat the foci, b and c , satisfy b = 'a(c). Conversely, givenb, c 2 D with b = 'a(c) for some a 2 D, there exists a uniquePoncelet 4-ellipse with foci at b and c .

    If the corresponding Blaschke product has zeros 0, a, b and c , then'a permutes the zeros and there is very little choice for a.

  • Familiar consequences?

    Theorem (Brianchon’s theorem)

    If a hexagon circumscribes an ellipse, then the diagonals of thehexagon meet in one point.

    Theorem (G., Wagner)

    An ellipse is a Poncelet 4-ellipse if and only if there exists a pointa 2 D such that the diagonals of every circumscribing quadrilateralpass through a.

  • A Natural Question: What happens for degree 6?

    Example 1. Let B1 = C1 � D1, where

    C1(z) = z

    ✓z � a1� az

    ◆2and D1(z) = z

    2.

    If B(z) = B1(z)/z , then W (AB) is an elliptical disk.

    B1: An ellipse B2: Not an ellipse.

    Figure: Poncelet curves

    Example 2. Let B2 = C2 � D2, where

    C2(z) = z2 and D2(z) = z

    ✓z � (0.5 + 0.5 i)1� (0.5� 0.5 i)z

    ◆2.

    If B(z) = B2(z)/z , then W (AB) is not an elliptical disk.

  • Infinite Blaschke products

    Theorem (Chalendar, G., Partington)

    Let I be an inner function. Then the closure of the numericalrange of SI satisfies

    W (SI ) =\

    ↵2TW (U I↵),

    where the U I↵ are the unitary 1-dilations of SI (or, equivalently, therank-1 Clark perturbations of SzI ).

    For some functions, we get an infinite version of Poncelet’stheorem.

    Vector-valued version of this theorem (Benhida, G., and Timotin)

  • Further generalizations

    Let DT = (1� T ?T )1/2 (the defect operator) and DT = DTH(the defect space).

    What if the dimension of DT = DT? = n > 1?

    Bercovici and Timotin showed that

    W (T ) =T{W (U) : U a unitary n dilation of T} and generalized

    some of the geometric properties to the infinite dimensional case(for example, W (T ) has no corners).

  • Directions for further research

    1 Study the numerical range of other operators;

    2 When is 0 in the numerical range?

    3 Michel Crouzeix’s 2006 paper, “Open problems on thenumerical range and functional calculus” contains severalquestions that remain open.

    Conjecture: For any polynomial p the inequality holds:

    kp(A)k 2max |p(z)|z2W (A)

    (The constant 11.08 works.)