physics in hyperbolic lattices
play

Physics in Hyperbolic Lattices Seung Ki Baek 1 in collaboration with - PowerPoint PPT Presentation

Physics in Hyperbolic Lattices Seung Ki Baek 1 in collaboration with Beom Jun Kim 1 , Petter Minnhagen 2 , Hiroyuki Shima 3 and So Do Yi 1 1 Sungkyunkwan University, Suwon, Korea 2 Ume University, Ume, Sweden 3 Hokkaido University, Sapporo,


  1. Physics in Hyperbolic Lattices Seung Ki Baek 1 in collaboration with Beom Jun Kim 1 , Petter Minnhagen 2 , Hiroyuki Shima 3 and So Do Yi 1 1 Sungkyunkwan University, Suwon, Korea 2 Umeå University, Umeå, Sweden 3 Hokkaido University, Sapporo, Japan The 3rd KIAS Conference on Statistical Physics Nonequilibrium Statistical Physics of Complex Systems 1 July, 2008 S.K. Baek (SKKU) Hyperbolic Lattice NSPCS08 1 / 37

  2. Outline Introduction 1 Percolation 2 Geometric XY spin 3 Diffusion 4 Summary 5 S.K. Baek (SKKU) Hyperbolic Lattice NSPCS08 2 / 37

  3. Outline Introduction 1 Percolation 2 Geometric XY spin 3 Diffusion 4 Summary 5 S.K. Baek (SKKU) Hyperbolic Lattice NSPCS08 3 / 37

  4. Negatively Curved Surface 0 0 -50 -50 -100 -100 -150 -150 -200 -200 10 5 -10 0 -5 0 -5 5 10 -10 100 100 50 50 0 0 -50 -50 -100 -100 10 5 -10 0 -5 0 -5 5 -10 10 Image from Thurston et al. (1984) (Upper) Positive and (below) negative curvature S.K. Baek (SKKU) Hyperbolic Lattice NSPCS08 4 / 37

  5. Negatively Curved Surface - Continued (Left) Photo courtesy of C. Gunn (2004) ✌ APS) (Center) Image courtesy of N. Park (2003, c (Right) Hyperbolic soccerball from Wikepedia Extended indefinitely with keeping curvature cf. Positive curvature ✘ Radius � 1 S.K. Baek (SKKU) Hyperbolic Lattice NSPCS08 5 / 37

  6. Poincaré Disk Representation Mapping of the negatively curved surface onto a unit disk Angles are preserved; Distances are not. “Circle Limit III” by Escher (1959) S.K. Baek (SKKU) Hyperbolic Lattice NSPCS08 6 / 37

  7. Hyperbolic Tessellation Schläfli symbol: ❢ m ❀ n ❣ ❂ ❢ 7 ❀ 3 ❣ n regular m -gons meet at each vertex. Negative curvature for every ❢ m ❀ n ❣ such that ✭ m � 2 ✮✭ n � 2 ✮ ❃ 4 cf. ❢ 4 ❀ 4 ❣ : square lattices S.K. Baek (SKKU) Hyperbolic Lattice NSPCS08 7 / 37

  8. Peculiarities of Hyperbolic Lattices Infinite dimensionality: (Average path length) ✴ log N 150 2D square lattice heptagonal lattice 120 WS network 10 2 90 10 1 ℓ ℓ 60 10 0 10 0 10 2 10 4 30 N 0 10 0 10 1 10 2 10 3 10 4 10 5 10 6 N Mean-field behaviors for Ising [Ueda et al. (2007)] and XY spins [Gendiar et al. (2008)] by imposing traslational invariance S.K. Baek (SKKU) Hyperbolic Lattice NSPCS08 8 / 37

  9. Peculiarities of Hyperbolic Lattices Infinite dimensionality: (Average path length) ✴ log N 150 2D square lattice heptagonal lattice 120 WS network 10 2 90 10 1 ℓ ℓ 60 10 0 10 0 10 2 10 4 30 N 0 10 0 10 1 10 2 10 3 10 4 10 5 10 6 N Mean-field behaviors for Ising [Ueda et al. (2007)] and XY spins [Gendiar et al. (2008)] by imposing traslational invariance S.K. Baek (SKKU) Hyperbolic Lattice NSPCS08 8 / 37

  10. Peculiarities of Hyperbolic Lattices - Continued Nonvanishing surface-volume ratio ■ N ✭ r ✮ ✴ e r ❂ ✮ ❅ N ❅ r ❂ N ✦ const. ■ Deviation from MF Ising [Shima et al. (2006)] ■ Zero temperature transition for XY [Baek et al. (2007)] ■ Thermodynamic limit? Intrinsic length scale: curvature “ ✿ ✿ ✿ the one thing in it which is opposed to our conceptions is that, there must exist in space a linear magnitude, determined for itself.” ■ No freedom in choosing a lattice constant without changing curvature for any given ❢ m ❀ n ❣ ■ Real-space scaling transformation prevented S.K. Baek (SKKU) Hyperbolic Lattice NSPCS08 9 / 37

  11. Peculiarities of Hyperbolic Lattices - Continued Nonvanishing surface-volume ratio ■ N ✭ r ✮ ✴ e r ❂ ✮ ❅ N ❅ r ❂ N ✦ const. ■ Deviation from MF Ising [Shima et al. (2006)] ■ Zero temperature transition for XY [Baek et al. (2007)] ■ Thermodynamic limit? Intrinsic length scale: curvature “ ✿ ✿ ✿ the one thing in it which is opposed to our conceptions is that, there must exist in space a linear magnitude, determined for itself.” ■ No freedom in choosing a lattice constant without changing curvature for any given ❢ m ❀ n ❣ ■ Real-space scaling transformation prevented S.K. Baek (SKKU) Hyperbolic Lattice NSPCS08 9 / 37

  12. Peculiarities of Hyperbolic Lattices - Continued Nonvanishing surface-volume ratio ■ N ✭ r ✮ ✴ e r ❂ ✮ ❅ N ❅ r ❂ N ✦ const. ■ Deviation from MF Ising [Shima et al. (2006)] ■ Zero temperature transition for XY [Baek et al. (2007)] ■ Thermodynamic limit? Intrinsic length scale: curvature “ ✿ ✿ ✿ the one thing in it which is opposed to our conceptions is that, there must exist in space a linear magnitude, determined for itself.” ■ No freedom in choosing a lattice constant without changing curvature for any given ❢ m ❀ n ❣ ■ Real-space scaling transformation prevented S.K. Baek (SKKU) Hyperbolic Lattice NSPCS08 9 / 37

  13. Outline Introduction 1 Percolation 2 Geometric XY spin 3 Diffusion 4 Summary 5 S.K. Baek (SKKU) Hyperbolic Lattice NSPCS08 10 / 37

  14. Percolation in Square Lattices, {4,4} http://mathworld.wolfram.com Occupation probability p ✷ ❬ 0 ❀ 1 ❪ S.K. Baek (SKKU) Hyperbolic Lattice NSPCS08 11 / 37

  15. Scaling Exponents of Bond Percolation in ❢ 4 ❀ 4 ❣ P ✭ s ✮ : Prob. distribution 10 0 p=0.3 0.4 10 -2 of cluster sizes s 0.5 P(s) P ✭ s ✮ ✘ s � ✜ at p ❂ p c 0.6 10 -4 0.7 10 -6 10 0 10 1 10 2 10 3 s 1 Largest cluster size, s 1 , L β / ν s 1 /N L=32 divided by N s 1 /N 0.5 64 s 1 ❂ N ✘ ✭ p � p c ✮ ☞ (p-p c )L 1/ ν 128 256 512 0 0 0.2 0.4 0.6 0.8 1 p Average cluster size P ✵ L=25 s s 2 P ✭ s ✮ 50 S N - γ /d ν S ✑ P ✵ S (10 3 ) 1 100 s sP ✭ s ✮ 200 ✘ ❥ p � p c ❥ � ✌ (p-p c )N 1/d ν 0 0 0.2 0.4 0.6 0.8 1 p S.K. Baek (SKKU) Hyperbolic Lattice NSPCS08 12 / 37

  16. Other Quantities in ❢ 4 ❀ 4 ❣ B : Number of boundary L=51 points (a) 20 101 201 b L - κ b : Number of boundary 401 -1 0 1 10 (p-p c )L 1/ ν points connected to the middle 0 (b) s 2 ❂ s 1 : Second largest 0.8 s 2 /s 1 0.6 vs. Largest -1 0 1 0.4 (p-p c )L 1/ ν 0.2 Only one threshold, p c ❂ 0 ✿ 5 0.48 0.50 0.52 p S.K. Baek (SKKU) Hyperbolic Lattice NSPCS08 13 / 37

  17. Bond Percolation in ❢ 3 ❀ 7 ❣ p u ✘ 0 ✿ 4 1 l=6 (a) A broad peak in S 8 s 1 /N 0.5 10 P ✭ s ✮ ✘ s � ✜ ✭ p ✮ ∞ 0 for a wide range of p l=6 S (10 3 ) 1 (b) 8 0.5 10 0 0.0 0.2 0.4 0.6 0.8 1.0 p 10 0 p=0.2 0.3 0.4 P(s) 10 -3 0.5 0.6 (c) 10 -6 10 1 10 2 10 3 s S.K. Baek (SKKU) Hyperbolic Lattice NSPCS08 14 / 37

  18. Two Thresholds p c and p u in ❢ 3 ❀ 7 ❣ 10 2 Unbounded clusters first l=5 (a) form at p ❂ p c ✘ 0 ✿ 2. 6 b 7 10 0 8 1 b ❂ B becomes finite at l=5 p=0.3 0.8 6 0.4 p ❂ p u ✘ 0 ✿ 37 7 0.6 b/B 8 0 as N ✦ ✶ . ∞ 0.4 N κ -1 0 0.2 (b) l=4 0.8 A unique unbounded 6 s 2 /s 1 0.6 8 cluster at p ❂ p u 0.4 10 (c) 0.2 0.1 0.2 0.3 0.4 0.5 p S.K. Baek (SKKU) Hyperbolic Lattice NSPCS08 15 / 37

  19. Tree Approximation at p ✷ ✭ p c ❀ p u ✮ Approximation to a z -ary tree, ❢✶ ❀ z ✰ 1 ❣ p c ❂ 1 ❂ z and p u ❂ 1 P ✭ s ✮ ✘ s � ✜ with ✜ ✘ 2 ✰ log ✭ 1 ❂ p ✮ log ✭ zp ✮ between p c and p u : ✚ ✶ if p ✦ p c ✜ ✦ if p ✦ p u 2 S.K. Baek (SKKU) Hyperbolic Lattice NSPCS08 16 / 37

  20. Cluster size distribution at p ✷ ✭ p u ❀ 1 ✮ A B D C O Schematic view of a hyperbolic lattice (upto the dotted line) on the Poincaré disk (solid) P ✭ s ✮ is dominated by the surface of an s -sized cluster P ✭ s ✮ ✘ exp ❬ � ✑ ✭ p ✮ ✂ ✭ surface to cut ✮❪ ✘ exp ❬ � ✑ ✭ p ✮ ✂ ✭ OB ✰ OC ✮❪ ✘ exp ❬ � ✑ ✭ p ✮ log s ❪ ✘ s � ✑ ✭ p ✮ S.K. Baek (SKKU) Hyperbolic Lattice NSPCS08 17 / 37

  21. Notes on Percolation Two thresholds in a hyperbolic lattice ❢ m ❀ n ❣ ■ p c : Unbounded clusters begin to form. Measured by the connections to the middle point Estimated by p c ✘ 1 ❂ ✭ n � 1 ✮ ■ p u : A single cluster overwhelms the others. Measured by the ratio s 2 ❂ s 1 Estimated by p u ✘ m ❂ ✭ m ✰ n ✮ Cluster size distribution, P ✭ s ✮ ■ p ✷ ✭ 0 ❀ p c ✮ : P ✭ s ✮ ✘ exp ✭ � s ✮ log ✭ 1 ❂ p ✮ ■ p ✷ ✭ p c ❀ p u ✮ : P ✭ s ✮ ✘ s � ✜ with ✜ ✙ 2 ✰ log ❬✭ n � 1 ✮ p ❪ ■ p ✷ ✭ p u ❀ 1 ✮ : P ✭ s ✮ ✘ exp ❬ � ✑ ✭ p ✮ log s ❪ ❂ s � ✑ ✭ p ✮ ■ Thereby S peaks broadly around p u . S.K. Baek (SKKU) Hyperbolic Lattice NSPCS08 18 / 37

  22. Notes on Percolation Two thresholds in a hyperbolic lattice ❢ m ❀ n ❣ ■ p c : Unbounded clusters begin to form. Measured by the connections to the middle point Estimated by p c ✘ 1 ❂ ✭ n � 1 ✮ ■ p u : A single cluster overwhelms the others. Measured by the ratio s 2 ❂ s 1 Estimated by p u ✘ m ❂ ✭ m ✰ n ✮ Cluster size distribution, P ✭ s ✮ ■ p ✷ ✭ 0 ❀ p c ✮ : P ✭ s ✮ ✘ exp ✭ � s ✮ log ✭ 1 ❂ p ✮ ■ p ✷ ✭ p c ❀ p u ✮ : P ✭ s ✮ ✘ s � ✜ with ✜ ✙ 2 ✰ log ❬✭ n � 1 ✮ p ❪ ■ p ✷ ✭ p u ❀ 1 ✮ : P ✭ s ✮ ✘ exp ❬ � ✑ ✭ p ✮ log s ❪ ❂ s � ✑ ✭ p ✮ ■ Thereby S peaks broadly around p u . S.K. Baek (SKKU) Hyperbolic Lattice NSPCS08 18 / 37

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend


More recommend