Discrete Uniformization Theorem for Polyhedral Surfaces and Hyperbolic

Discrete Uniformization Theorem for Polyhedral Surfaces and Hyperbolic

Discrete uniformizaon theorem for polyhedral surfaces and hyperbolic convex polytopes Feng Luo Quantum invariants and low-dimensional topology Matrix Ins0tute, Australia Joint work with D. Gu (Stony Brook), J. Sun (Tsinghua Univ.), S. Tillmann (Sydney), Tianqi Wu (Courant) Dec. 14, 2016 S = connected surface Thm(Poincare-Koebe 1907) ∀ Riemannian metric g on S, Ǝ λ: S → R>0 s.t., (S, λg) is a complete metric of curvature -1, 0, 1. Q1: Can one compute the uniformizaon metrics and maps? ANS (Gu-L-Sun-Wu): yes Q2: Is there discrete unif. thm. for polyhedral surfaces? Does it converge (to smooth case)? Corollary. (Riemann mapping ) Any s.c. domain Ω ⊆ C is conformal to D. Riemann mapping can be computed. B. Beeker, B. Loustau, based on C. Collins & K. Stephenson Thurston-Stephenson’s circle packing The Scharwz-Christoffel method by L. Trefethen, L., and T. Driscoll Thm (Gu-L-Sun-Wu). Uniformizaon metrics and maps are computable. PL metrics d on marked surface (S, V) are flat cone metrics on S, cone points ⊂ V Isometric gluing of E2 triangles along edges: (S, T, l ). triangulation K(v)<0 d is determined by edge lengths l: E={all edges in T } → R Curvature K=Kd: V={all ver0ces}→R, K(v)= 2π-sum of angles at v K(v)>0 Gauss-Bonnet A triangulated PL metric (S, T, l) is Delaunay: a+b ≤π at each edge e. Polyhedral metrics d on cpt (S,V) and hyperbolic metric d* on S-V Given d on (S,V) , produce a Delaunay triangulaon T of (S,V,d) ∀ t ∈ T is associated an ideal hyperbolic triangle t* If t, s ∈ T glued by isometry f along e, then t* and s* are glued by the same f along e*. a hyperbolic metric d* on S-V. Bobenko-Pinkall-Springborn Def. (G-L-S-W). Two PL metrisc d1, d2 on (S,V) are discrete conformal iff d1* are d2* are isometric by an isometry homotopic to id on S-V. Delaunay triangulaDon = hyperbolic convex hull V ⊂ C discrete set Delaunay triangulation T of CE(V) (Euclidean convex hull): t triangle in T iff its circumdisk B contains no V in its interior. a+a’ ≤ π 3 The hyperbolic convex hull CH(V) hull of V in H . 3 CH(V)= H -∪ int(CH(B)) B are max balls in S2 missing V. triangle t=CE(a,b,c) in T corresponds to triangle t* =CH(a,b,c) in ∂CH(V). Does no change d* dst* H3 Eg. Boundary of hyperbolic convex hull of V dst Thm 1. (Gu-L-Sun-Wu) ∀ PL metric d on a closed (S,V) and ∀ K#: V→ (-∞, 2π), s.t., ∑ K#(v) =2πχ(S), Ǝ a PL metric d#, unique up to scaling, on (S,V) s.t., (a) d# is discrete conformal to d, (b) the discrete curvature of d# is K#. For K#= 2πχ(S)/|V|, d# is a discrete uniformizaon metric. Eg.1. Any PL metric on (S1XS1,V) is d.c. to a unique flat (S1XS1, V, d#) where K#=0 (Fillastre). K#=4π/3 at a,b,c Eg 2. A polygonal disk (D, V; a,b,c) in C is d.c. to the equilateral triangle (ΔABC, V’, {A,B,C}) Thm 2 (L-Sun-Wu). Given a Jordan domain Ω and p,q,r∈∂Ω, Ǝ polygonal disks (Ωn, Vn; pn,qn,rn) approximang it, s.t., (a) (Ωn , Vn; pn,qn,rn) triangulaon Tn by equilateral triangles of length →0, . (b) the associated discrete uniformizaon maps fn → Riemann mapping for (Ω;p,q,r). Counterpart of Thurston’s circle packing conjecture: Fn converges to the Riemann mapping. A B C Riemann mapping sending the triangle to (Ω;p,q,r). Discrete uniformizaon for simply connected non-cpt polyhedral surfaces S=non-cpt simply connected topological surface Unif. Thm. Every complex structure on S is conformal to C or D. Discrete uniformizaon conjecture. Every PL surface (S,V,d) is d.c. to a unique (C, V’, dst) or (D, V’, dst). Associated hyperbolic metric Weyl’s problem on convex embedding, Alexandrov, Nirenberg, Pogorelov (S-V, d) complete hyperbolic ∂C(V’) in H3 isometric Geometry of convex hulls in H3 and conjectures 2 3 Thurston. If X closed in S , then ∂CH(X) ⊂ H is complete hyperbolic. 2 2 Eg. Ω simply connected domain in C, X=S -Ω. Then ∂CH(X) isometric to H . Thurston’s isometry convex hull geom. Ω Riemann mapping, conformal geom. QuesDon: not simply connected Ω ? X is of circle type Koebe Conjecture. Every domain Ω in S2 is conformal to 2 S -X s.t., connected components of X are points or round disks. Conj (L-S-W) 1. ∀ complete hyperbolic surf (Σ, d) of genus 0 is isometric to ∂CH(X) for a circle type closed set X. Conj.(L-S-W) 2. If X and Y are two circle type closed sets s.t. ∂CH(X) isometric ∂CH(Y) , then X, Y differ by a Moebius transf. Thm (Rivin). Conj. 1&2 hold for X = finite set. Thm (Schlenker). Conj. 1&2 hold for X = finite union of disks. Thm (L-Tillmann). Conj. 1&2 hold for X = a union of one disk and a finite set. Thm (L-Wu). Conjecture 1 holds if ∑ has countably many top ends. Conjecture (Koebe). For any closed set Y in S2 with connected complement, S2-Y is conformal to S2-X for a circle type closed set X. Conjecture (L-S-W). For any closed set Y in S2 with connected complement, ∂CH(Y) is isometric to a unique ∂CH(X) for a circle type closed set X. Thm 5. (L-Sun-Wu) If Y ⊂ C is discrete s.t. ∃ isometry ∂CH(Y) → ∂CH(Z+ τ Z) preserving cell structures, then Y and Z+τ Z differ by a linear map. It implies limit of approximang Fn is conformal. Sketch of proof of Theorem 1. Thm 1. (Gu-L-Sun-Wu) ∀ PL metric d on a closed (S,V) and ∀ K#: V→ (-∞, 2π), s.t., ∑ K#(v) =2πχ(S), Ǝ a PL metric d#, unique up to scaling, on (S,V) s.t., (a) d# is discrete conformal to d, (b) the discrete curvature of d# is K#. Vertex scaling: given l: E → R and u: V → R, define u(v)+u(v’) u*l(vv’) = e l(vv’). Sketch of proof thm 1 Step 1. There exists a c1-smooth map A: {PL metrics d on (S,V)}/~ → Teich(S-V) s.t., A(d)=A(d’) iff d and d’ are discrete conformal. ~ = isometry homotopic to iden0ty Step 2. for any PL metric d on (S,V) V P= {[d’ ]| d’ disc. conf. to d} /~ ≈ R . Step 3. The discrete curvature map __ V K: P/R>0 > (-∞, 2π) ∩ {Gauss-Bonnet equaon} is 1-1, onto. V (GB: x Є R , ∑v ЄV x(v) = 2π χ (S).) We prove: K is smooth, locally 1-1 (a variaonal principle), image of K is closed (degeneraon analysis+ Akiyoshi). A variaonal principle associated to vertex scaling u(v)+u(v’) Vertex scaling: given l: E → R and u: V → R, u*l(vv’) = e l(vv’). Prop (L, 2004) Fix a triangle Δ of lengths l1, l2, l3, let a1, a2, a3 uj+uk be the angles of the vertex scaled triangle of lengths li e where ai=ai (u1,u2,u3). Then there is a locally concave func0on F(u) s.t. ∇F=(a1, a2, a3). Prof. The matrix [ -∂ai/∂uj] is symmetric and semi-posi0ve definite. Thank you. Thank you. For (S,V), define PL Teichmuller space Tpl(S,V)={ (S,V,d) | PL metric d on (S,V)}/ ~ (S,V,d) ~ (S,V, d’) iff ∃ an isometry homotopic to id. -3χ (S-V) Known (Troyanov) Tpl(S,V) is homeomorphic to R . For a triangulaon T of (S,V), let Dpl(T)={ [S,V,d] | T is Delaunay in d} Rivin’s thm: Dpl(T)’s form a cell decomposi0on of Tpl(S,V). Tpl(S,V) = UT Dpl(T) Penner’s decorated Teichmuller space Td(S,V) Decorated ideal triangle: It has angles ai and length li For any l1, l2, l3, ∃ a unique decorated triangle of lengths l1,l2,l3. Decorated Teichmuller space Let d=complete hyperbolic metric of finite area on S-V. Construct at each cusp v a horoball H(v). One has the decorated metric (S-V, d, w) where V wi w=(w1, …, wn) in R , e =length of ∂H(vi) Td(S-V) ={(S-V, d, w)| decorated metrics}/ isometry ≈ id n preserving marking Td(S-V) = T(S-V) X R Penner’s coordinate For Ɐ triangulaon T of (S,V), Ɐ x: E(T) → R>0 , ∃ a decorate metric dx on (S,V) having ln(x) edge length. For any l1, l2, l3 >0, ∃ a unique decorated triangle of lengths ln(li) This produces the decorated metric on (S,V) For a triangulaon T, let D(T) be the set of all [(S-V,d, w)]’s, s.t., T is Delaunay in d. Thm(Penner) D(T)’s form a cell decomposi0on of Td(S-V), i.e. Td(S-V)= UTD(T). Define a map FT: Dpl(T) → Td(S-V): One shows: 1. FT(Dpl(T)) ⊂ D(T) (Euclidean Delaunay implies hyperbolic Delaunay) 2. FT(Dpl(T)) =D(T) (Delaunay implies triangular ineq.) 3. F | =F | T Dpl(T)∩ Dpl(T) T’ Dpl(T)∩Dpl(T’) F | = F | T Dpl(T)∩ Dpl(T’) T’ Dpl(T)∩Dpl(T’) This is Penner’s Ptolemy iden0ty: 1 Thm: The gluing of FT’s produces a C diffeomorphism F: Tpl(S,V) → Td(S-V) preserving cell decomposi0ons and d, d’ discrete conformal iff Proj(F(d)) =Proj(F(d’)) n where Proj: Td(S-V) = T(S-V) X R →T(S-V) is the natural projec0on.

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