miquel dynamics for circle patterns
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Miquel dynamics for circle patterns Sanjay Ramassamy ENS Lyon Partly joint work with Alexey Glutsyuk (ENS Lyon) Mathematical physics seminar Geneva, December 11 2017 Circle patterns : used to uniformize graphs on sur- faces, well-studied


  1. Miquel dynamics for circle patterns Sanjay Ramassamy ENS Lyon Partly joint work with Alexey Glutsyuk (ENS Lyon) Mathematical physics seminar Geneva, December 11 2017

  2. • Circle patterns : used to uniformize graphs on sur- faces, well-studied in discrete differential geometry (dis- cretization of conformal maps). • Many discrete integrable systems have been discovered recently (pentagram, dimers,...). • Attempt to construct a discrete integrable system on some space of circle patterns using Miquel’s six circles theorem.

  3. Miquel’s theorem A ′ D ′ D A B C B ′ C ′

  4. Miquel’s theorem A ′ D ′ D A B C B ′ C ′ Theorem (Miquel, 1838) . In this setting, A, B, C, D concyclic ⇔ A ′ , B ′ , C ′ , D ′ concyclic.

  5. Miquel’s theorem θ 1 A ′ θ 4 D ′ D A B θ i : intersection angle C between two circles B ′ C ′ θ 2 θ 3

  6. Miquel’s theorem θ 1 A ′ θ 4 D ′ D A B θ i : intersection angle C between two circles B ′ C ′ θ 2 θ 3 Theorem (R., 2017) . θ 1 + θ 3 = θ 2 + θ 4 ⇔ A, B, C, D concyclic ⇔ A ′ , B ′ , C ′ , D ′ concyclic.

  7. D A B C ABCD concyclic ⇔ ˆ A + ˆ C = ˆ B + ˆ D

  8. D A B C ABCD concyclic ⇔ ˆ A + ˆ C = ˆ B + ˆ D

  9. D A θ 4 θ 1 θ 2 θ 3 B C ABCD concyclic ⇔ ˆ A + ˆ C = ˆ B + ˆ D ˆ ˆ A = θ 1 + + B = θ 2 + + ˆ ˆ C = θ 3 + + D = θ 4 + +

  10. Square grid circle patterns • A square grid circle pattern (SGCP) is a map S : Z 2 → R 2 such that any four vertices around a face of Z 2 get mapped to four concyclic points. S

  11. Square grid circle patterns • A square grid circle pattern (SGCP) is a map S : Z 2 → R 2 such that any four vertices around a face of Z 2 get mapped to four concyclic points. S

  12. • Folds and non-convex quadrilaterals are allowed.

  13. • Folds and non-convex quadrilaterals are allowed.

  14. Miquel dynamics • Checkerboard coloring of the faces of Z 2 : black and white circles. • Define two maps from the set of SGCPs to itself, black mutation µ B and white mutation µ W .

  15. • Black mutation µ B : each vertex gets moved to the other intersection point of the two white circles it be- longs to. All the vertices move simultaneously.

  16. • Black mutation µ B : each vertex gets moved to the other intersection point of the two white circles it be- longs to. All the vertices move simultaneously.

  17. • Black mutation µ B : each vertex gets moved to the other intersection point of the two white circles it be- longs to. All the vertices move simultaneously.

  18. • Black mutation µ B : each vertex gets moved to the other intersection point of the two white circles it be- longs to. All the vertices move simultaneously.

  19. • Black mutation µ B : each vertex gets moved to the other intersection point of the two white circles it be- longs to. All the vertices move simultaneously. • Why does µ B produce an SGCP ?

  20. • The maps µ B and µ W are involutions. • Miquel dynamics : discrete-time dynamics obtained by alternating between µ B and µ W . • Invented by Richard Kenyon.

  21. Miquel’s theorem ! • The maps µ B and µ W are involutions. • Miquel dynamics : discrete-time dynamics obtained by alternating between µ B and µ W . • Invented by Richard Kenyon.

  22. Biperiodic SGCPs • An SGCP S is spatially biperiodic if there exist m, n v ∈ R 2 such that for all ( x, y ) ∈ Z 2 , integers and � u,� S ( x + m, y ) = S ( x, y ) + � u S ( x, y + n ) = S ( x, y ) + � v m = 4 n = 2 n m

  23. • The vector � u (resp. � v ) is called the monodromy in the direction ( m, 0) (resp. (0 , n )). • A biperiodic SGCP is mapped by Miquel dynamics to another biperiodic SGCP with the same periods and monodromies. • This reduces the problem to a finite-dimensional one. • A biperiodic circle pattern in the plane projects down to a circle pattern on a flat torus.

  24. [Mathematica]

  25. Motivation • The limit shape in the dimer model is a deterministic surface which minimizes some surface tension with pre- scribed boundary conditions (Cohn-Kenyon-Propp). • For circle patterns, one can find the radii knowing the intersection angles by solving a variational principle. The functional minimized is similar to the one occurring for dimers (Rivin, Bobenko-Springborn). • Miquel dynamics mimics the Goncharov-Kenyon dimer discrete integrable system. Can it give us a direct con- nection between dimers and circle patterns ?

  26. Miquel dynamics property wish list Dimension of the space Coordinates on that space “Many” independent conserved quantities Identify black and white mutation as cluster algebra mutations Compatible Poisson bracket Spectral curve

  27. Miquel dynamics property wish list Dimension of the space Coordinates on that space “Many” independent conserved quantities Identify black and white mutation as cluster algebra mutations Compatible Poisson bracket Spectral curve

  28. Miquel dynamics property wish list Dimension of the space Coordinates on that space “Many” independent conserved quantities Identify black and white mutation as cluster algebra mutations Compatible Poisson bracket Spectral curve

  29. Miquel dynamics property wish list Dimension of the space Coordinates on that space “Many” independent conserved quantities Identify black and white mutation as cluster algebra mutations Compatible Poisson bracket Spectral curve

  30. Miquel dynamics property wish list Dimension of the space Coordinates on that space “Many” independent conserved quantities Identify black and white mutation as cluster algebra mutations Compatible Poisson bracket Spectral curve

  31. Miquel dynamics property wish list Dimension of the space Coordinates on that space “Many” independent conserved quantities Identify black and white mutation as cluster algebra mutations Compatible Poisson bracket Spectral curve

  32. Miquel dynamics property wish list Dimension of the space Coordinates on that space “Many” independent conserved quantities Identify black and white mutation as cluster algebra mutations Compatible Poisson bracket Spectral curve

  33. What space of circle patterns ? • Fix m and n in Z + and consider the space M m,n of SGCPs that have both ( m, 0) and (0 , n ) as a period, considered up to similarity. • SGCPs whose faces form a cell decomposition of the torus (no folds, no non-convex quads) are an open sub- set of M m,n . • Bobenko-Springborn (2004) : this subspace of cell- decomposition SGCPs has dimension mn + 1.

  34. Coordinates for M m,n • Four φ variables in each of the mn faces of a fundamen- tal domain. • These variables must satisfy some relations.

  35. Coordinates for M m,n φ N φ N φ E φ E φ W φ W φ S φ S • Four φ variables in each of the mn faces of a fundamen- tal domain. • These variables must satisfy some relations.

  36. • Flatness at each face and vertex. • Consistency of radii around a vertex. φ 8 φ 1 φ 1 φ 2 φ 7 φ 2 φ 4 φ 3 φ 6 φ 3 φ 4 φ 5 4 8 � � φ i = 2 π φ i = 4 π i =1 i =1 sin φ 1 2 sin φ 3 2 sin φ 5 2 sin φ 7 2 = 1 2 sin φ 2 2 sin φ 4 2 sin φ 6 2 sin φ 8

  37. • Flatness at each face and vertex. • Consistency of radii around a vertex. • Global relations across the torus, expressing the consistency of radii and the parallelism of edges. m = 4 n = 2

  38. • Flatness at each face and vertex. • Consistency of radii around a vertex. • Global relations across the torus, expressing the consistency of radii and the parallelism of edges. m = 4 n = 2 � sin φ 2 = � sin φ 2

  39. • Flatness at each face and vertex. • Consistency of radii around a vertex. • Global relations across the torus, expressing the consistency of radii and the parallelism of edges. m = 4 n = 2 � sin φ 2 = � sin φ 2 � φ = � φ

  40. Theorem (R., 2017) . The 4 mn φ variables satisfying the above relations coordinatize M m,n . We easily reconstruct the SGCP from such φ variables.

  41. Theorem (R., 2017) . The 4 mn φ variables satisfying the above relations coordinatize M m,n . We easily reconstruct the SGCP from such φ variables.

  42. Theorem (R., 2017) . The 4 mn φ variables satisfying the above relations coordinatize M m,n . We easily reconstruct the SGCP from such φ variables.

  43. Theorem (R., 2017) . The 4 mn φ variables satisfying the above relations coordinatize M m,n . We easily reconstruct the SGCP from such φ variables.

  44. Theorem (R., 2017) . The 4 mn φ variables satisfying the above relations coordinatize M m,n . We easily reconstruct the SGCP from such φ variables.

  45. Theorem (R., 2017) . The 4 mn φ variables satisfying the above relations coordinatize M m,n . We easily reconstruct the SGCP from such φ variables.

  46. Theorem (R., 2017) . The 4 mn φ variables satisfying the above relations coordinatize M m,n . We easily reconstruct the SGCP from such φ variables.

  47. Theorem (R., 2017) . The 4 mn φ variables satisfying the above relations coordinatize M m,n . We easily reconstruct the SGCP from such φ variables. Conjecture. One can choose mn +1 φ variables freely, they provide local coordinates “almost everywhere” on M m,n . imposed m = 2 deduced n = 2

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