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The Verification of an Inequality. Roger W. Barnard, Kent Pearce, G. Brock Williams Texas Tech University Leah Cole Wayland Baptist University Presentation: Pondicherry, India. Notation & Definitions. Notation & Definitions. Notation & Definitions. Hyberbolic Geodesics. - PowerPoint PPT Presentation
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The Verification of an Inequality
Roger W. Barnard, Kent Pearce, G. Brock Williams Texas Tech University
Leah Cole Wayland Baptist University
Presentation: Pondicherry, India
Notation & Definitions
{ : | | 1}D z z
Notation & Definitions
{ : | | 1}D z z
2
2 | |( ) | |1 | |
dzz dzz
hyperbolic metric
Notation & Definitions
Hyberbolic Geodesics
{ : | | 1}D z z
Notation & Definitions
Hyberbolic Geodesics
Hyberbolically Convex Set
{ : | | 1}D z z
Notation & Definitions
Hyberbolic Geodesics
Hyberbolically Convex Set
Hyberbolically Convex Function
{ : | | 1}D z z
Notation & Definitions
Hyberbolic Geodesics
Hyberbolically Convex Set
Hyberbolically Convex Function
Hyberbolic Polygono Proper Sides
{ : | | 1}D z z
Examples
2 2
2( )(1 ) (1 ) 4
zk zz z z
k
Examples
12 4 2
0
( ) tan (1 2 cos2 )
2where , 0 2(cos )
z
f z d
K
f
Schwarz NormFor let
and
( )f A D
212f
f fSf f
2 2|| || sup{(1 | | ) | ( ) |: }f D fS z S z z D
|| ||f DS
Extremal Problems for Euclidean Convexity
Nehari (1976):
( ) convex || || 2f Df D S
|| ||f DS
Extremal Problems for Euclidean Convexity
Nehari (1976):
Spherical Convexity Mejía, Pommerenke (2000):
( ) convex || || 2f Df D S
( ) convex || || 2f Df D S
|| ||f DS
Extremal Problems for Euclidean Convexity
Nehari (1976):
Spherical Convexity Mejía, Pommerenke (2000):
Hyperbolic Convexity Mejía, Pommerenke Conjecture (2000):
( ) convex || || 2f Df D S
( ) convex || || 2f Df D S
( ) convex || || 2.3836f Df D S
|| ||f DS
Verification of M/P Conjecture
“The Sharp Bound for the Deformation of a Disc under a Hyperbolically Convex Map,” Proceedings of London Mathematical Society (accepted 3 Jan 2006), R.W. Barnard, L. Cole, K. Pearce, G.B. Williams.
http://www.math.ttu.edu/~pearce/preprint.shtml
Verification of M/P Conjecture
Preliminary Facts:
Invariance of hyperbolic convexity under disk automorphisms
Verification of M/P Conjecture
Preliminary Facts:
Invariance of hyperbolic convexity under disk automorphisms
Invariance of under disk automorphisms For we have
|| ||f DS, ( )Auto D
1 ( )
|| || || ||
|| || || ||f D f D
f D f D
S S
S S
Classes H and Hn
{ ( ) : ( ) is hyp. convex,(0) 0, (0) 0}
H f A D f Df f
Classes H and Hn
{ ( ) : ( ) is hyp. convex,(0) 0, (0) 0}
H f A D f Df f
{ : ( ) is hyp. polygon}polyH f H f D
Classes H and Hn
{ ( ) : ( ) is hyp. convex,(0) 0, (0) 0}
H f A D f Df f
{ : ( ) is hyp. polygon}polyH f H f D
{ : ( ) has at mostproper sides}
n polyH f H f Dn
Reduction to Hn
Lemma 1. To determine the extremal value of over H, it suffices to determine the value over each Hn. Moreover, each Hn is pre-compact.|| ||f DS
Reduction to Hn
Lemma 1. To determine the extremal value of over H, it suffices to determine the value over each Hn. Moreover, each Hn is pre-compact.
A. Hn is compact
|| ||f DS
{0}
Reduction to Hn
Lemma 1. To determine the extremal value of over H, it suffices to determine the value over each Hn. Moreover, each Hn is pre-compact.
A. Hn is compact B.
|| ||f DS
nn
H H{0}
Reduction to Hn
Lemma 1. To determine the extremal value of over H, it suffices to determine the value over each Hn. Moreover, each Hn is pre-compact.
A. Hn is compact B. C. Schwarz norm is lower semi-continuous
|| ||f DS
nn
H H{0}
Examples
2 2
2( )(1 ) (1 ) 4
zk zz z z
k
Reduction to Re Sf (0)
Lemma 2. For each n > 2,
A.
B. C.
sup || || max | (0) | max Re (0)n nn
f D f ff H f Hf HS S S
Schwarz Norm
For let
and
( )f A D
212f
f fSf f
2 2|| || sup{(1 | | ) | ( ) |: }f D fS z S z z D
|| ||f DS
Reduction to Re Sf (0)
Lemma 2. For each n > 2,
A. (Nehari)
implies
B. C.
sup || || max | (0) | max Re (0)n nn
f D f ff H f Hf HS S S
2
21 1
11( )2 ( )
n nk k
gk kk k
S zz a z a
2lim 4(Im ) | ( ) | 2 forgz wz S z w U
Reduction to Re Sf (0)
Lemma 2. For each n > 2,
A. (Nehari)
implies
B. There exist C.
sup || || max | (0) | max Re (0)n nn
f D f ff H f Hf HS S S
2
21 1
11( )2 ( )
n nk k
gk kk k
S zz a z a
for which || || 2n f Df H S
2lim 4(Im ) | ( ) | 2 forgz wz S z w U
Reduction to Re Sf (0)
Lemma 2. For each n > 2,
A. (Nehari)
implies
B. There exist C. Invariance under disk automorphisms
sup || || max | (0) | max Re (0)n nn
f D f ff H f Hf HS S S
2
21 1
11( )2 ( )
n nk k
gk kk k
S zz a z a
for which || || 2n f Df H S
2lim 4(Im ) | ( ) | 2 forgz wz S z w U
Julia Variation Let Ω be a region bounded by a piece-wise analytic curve
Γ and φ(w) piece-wise C1 on Γ .
Julia Variation (cont) Let Ω be a region bounded by a piece-wise analytic curve
Γ and φ(w) piece-wise C1 on Γ .
Julia Variation (cont) Let Ω be a region bounded by a piece-wise analytic curve
Γ and φ(w) piece-wise C1 on Γ . At each point w on Γ (where Γ is smooth), let n(w) denote the unit outward normal to Γ. For small ε let
and let Ωε be the region bounded by Γε.
{ * ( ) ( ) : }w w w n w w
Julia Variation (cont) Let Ω be a region bounded by a piece-wise analytic curve
Γ and φ(w) piece-wise C1 on Γ . At each point w on Γ (where Γ is smooth), let n(w) denote the unit outward normal to Γ. For small ε let
and let Ωε be the region bounded by Γε.
{ * ( ) ( ) : }w w w n w w
Julia Variation (cont)
Theorem. Let f be a conformal map from D on Ω with f (0) = 0 and suppose f has a continuous extension to ∂D. Then, for sufficiently small ε the map fε from D on Ωε with fε (0) = 0 is given by
where
( ) 1( ) ( ) ( )2 1D
zf z zf z f z d oz
( ( )) and| ( ) |
ifd d ef
Two Variations for Hn
Variation #1
Two Variations for Hn
Variation #1
Two Variations for Hn
Variation #1
Two Variations for Hn
Variation #1
Barnarnd & Lewis, Subordination theorems for some classes of starlike functions, Pac. J. Math 56 (1975) 333-366.
*( ) ( ) ( )f z f z o
Two Variations for Hn
Variation #2
Two Variations for Hn
Variation #2
Schwarzian and Julia Variation Lemma 3. If then
Lemma 4. If and Var. #1 or Var. #2 is applied to a side Γj, then
2 32 3( ) ( )f z z a z a z
23 2(0) 6( )fS a a
2 32 3( ) ( ) nf z z a z a z H
23 3 2
2
2 2
(0) 6 (3 4 )2
(2 2 ) ( )2
j
j
fS a a a d
a a d o
Schwarzian and Julia Variation
In particular,
where
2 23 2
0
6Re (0) Re 3 4 22
Re ( )j
j
f
j
S a a d
K d
2 23 2
6( ) 3 4 22
K a a
Reduction to H2
Step #1. Reduction to H4
Reduction to H2
Step #1. Reduction to H4
Step #2. (Step Down Lemma) Reduction to H2
Reduction to H2
Step #1. Reduction to H4
Step #2. (Step Down Lemma) Reduction to H2
Step #3. Compute maximum in H2
Reduction to H2 – Step #1
Suppose is extremal and maps D to a region bounded by more than four sides.
nf H
Reduction to H2 – Step #1
Suppose is extremal and maps D to a region bounded by more than four sides.
Then, pushing Γ5 out using Var. #1, we have
nf H
5
10
Re (0) Re ( ) 0fS K d
Reduction to H2 – Step #1
Consequently, the image of each side γj under K must intersect imaginary axis
Reduction to H2 – Step #1
Consequently, the image of each side γj under K must intersect imaginary axis
Reduction to H2 – Step #2
Suppose is extremal and maps D to a region bounded by exactly four sides.
nf H
Reduction to H2 – Step #2
Suppose is extremal and maps D to a region bounded by exactly four sides.
nf H
Reduction to H2 – Step #2
Suppose is extremal and maps D to a region bounded by exactly four sides.
nf H
Reduction to H2 – Step #2
Suppose is extremal and maps D to a region bounded by exactly four sides.
Then, pushing in the end of Γ3 , near f (z*), using Var. #2, we have
nf H
*
*0
Re (0) ( 1) Re ( ) 0fS K d
Reduction to H2 – Step #2
Suppose is extremal and maps D to a region bounded by exactly two sides.
nf H
Computation in H2
Functions whose ranges are convex domains bounded by one proper side
Functions whose ranges are convex domains bounded by two proper sides which intersect
Functions whose ranges are odd symmetric convex domains whose proper sides do not intersect
( )k
( )f
Computation in H2
Using an extensive calculus argument which considers several cases (various interval ranges for |z|, arg z, and α) and uses properties of polynomials and K, one can show that this problem can be reduced to computing
2
0 1sup (1 ) | ( ) |f
xx S x
Computation in H2
Verified A. For each fixed that is
maximized at r = 0
B. The curve is unimodal, i.e., there exists a unique so that
increases for and decreases for At
( )
2(1 ) ( )fr S r
( )
2(0) 2( )fS c
* 0.2182
( )(0)fS
*0 * .2
* ,
*( )2.3836fS
Graph of
*
( )
2(0) 2( )fS c