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Andrius Kulikauskas

  • m a t h 4 w i s d o m - g m a i l
  • +370 607 27 665
  • My work is in the Public Domain for all to share freely.

用中文

  • 读物 书 影片 维基百科

Introduction E9F5FC

Questions FFFFC0

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Binomial theorem


Understand polytopes.


多胞形



Consider polytopes - does the relations between the components give an algebra of perspectives?

  • In three dimensions,
    • the 3-simplex - a triangle (1) is mapped to a point (0), yielding 1+3+0=4 triangles
    • the octahedron - a triangle (1) is mapped to an upside-down triangle (1), yielding 1+3+3+1 triangles, the large, 1 edge from large and 1 vertex from small, 1 vertex from large and 1 edge from small, the small
    • the icosahedron - a triangle (1) is related to an upside-down triangle (1) by way of 20=1+3+6+6+3+1 triangles
  • In four dimensions, the tetrahedron, as a building block, yields
    • the 4-simplex - a tetrahedron (1) is mapped to a point (0), yielding 1+4+0=5 tetrahedra, the original and one for each face
    • the 4-orthoplex - a tetrahedron (1) is mapped to an upside-down tetrahedron, yielding 1+4+6+4+1=16 tetrahedra, the large, 1 face from large and 1 vertex from small, 1 edge from large and 1 from small, 1 vertex from large and 1 face from small, and the small tetrahedra.
    • the 600-cell - a tetrahedron is mapped to an icosahedron?
    • the 24-cell maps an octahedron to an octahedron
    • the 8-cell tessarect maps a cube to a cube 8=1+6+1

Readings

Federico Ardila

Lecture 1: Course is a combinatorial focus on convex polytopes and hyperplane arrangements.

  • Euler's theorem: 1 - v + e - f + 1 = 0
  • Steinitz's theorem: A 3-polytope exists iff 1 - v + e - f + 1 = 0, v <= 2f - 4, f <= 2v - 4.
  • Regular polytopes.

Lecture 2: Definition of polytope P as convex hull of vertices. Sum of lambda x vertex where lambdas are nonnnegative and sum to 1.

Lecture 3: Intersections and products of polytopes are also polytopes.

  • Main theorem of polytopes: Polytopes = convex hulls of finitely many points = bounded intersections of halfspaces.

Lecture 4: V-polyhedron intersected with affine plane is a V-polyhedron.

Lecture 5 and 6: Farkas' lemma versions 1 to 4.

Lecture 7: Faces of polytopes. Face of P in direction c is the set of all x in P where c-x is maximal.

  • Affine spaces.
  • Dim(face) = Dim(Aff(face))
  • f-vector gives the number of faces in each dimension
  • f-poly the generated function where the lowest coefficient gives the number of vertices and the highest coefficient gives the volume

Lecture 8: Construction of faces

  • Building polytopes: pyramids (adding the center).
  • Vertex figures (converting the vertices to faces).
  • Face lattice

Lecture 9: Face lattice

  • P and Q are combinatorially isomorphic if their face lattices are isomorphic.
  • Polar (Dual) polytopes. Dual = c in dual space where c x <=1 for all x in P.
  • If 0 is in P, then P equals its dual's dual.

Lecture 10:

  • Dual faces.
  • The face lattices of P and its dual are opposites.
  • Simple and simplicial polytopes.
  • P is simple iff its dual is simplicial.

Lecture 11: The cyclic polytope.

Lecture 12: Graphs of polytopes

Lecture 13: How good is linear programming?

  • Hirsch conjecture is false.

Lecture 14: Balinski's theorem: P is a d-polytope implies G(P) is d-connected.

Lecture 15: If P is simple, then G(P) determines P combinatorially.

Lecture 16: Complexes, subdivisions, triangulations.

  • Every P has a triangulation.

Lecture 17: Triangulation of d-cross-polytope.

Lecture 18: Counting lattice points in polytopes.

Lecture 19: Partition functions.

Lecture 20: Generating functions for cones.

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This page was last changed on February 27, 2020, at 02:32 PM