the protean chromatic polynomial
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The protean chromatic polynomial Bruce E. Sagan Department of - PowerPoint PPT Presentation

The protean chromatic polynomial Bruce E. Sagan Department of Mathematics Michigan State University East Lansing, MI 48824-1027 sagan@math.msu.edu www.math.msu.edu/sagan Harvard April 2019 Initial definitions The chromatic polynomial


  1. For a positive integer t , the chromatic polynomial of G is P ( G ) = P ( G , t ) = # of proper colorings c : V → { c 1 , . . . , c t } . Ex. Coloring vertices in the order u , v , w , x gives choices t t − 1 u v P ( G , t ) = t ( t − 1)( t − 1)( t − 2) = t 4 − 4 t 3 + 5 t 2 − 2 t x w t − 2 t − 1 Note 1. This is a polynomial in t . 2. χ ( G ) is the smallest positive integer with P ( G , χ ( G )) > 0. 3. P ( G , t ) need not be a product of factors t − k for integers k . Ex. Coloring vertices in the order u , v , w , x gives choices t t − 1 u v x w t − 1 ?

  2. If G = ( V , E ) is a graph and e ∈ E then let G \ e = G with e deleted.

  3. If G = ( V , E ) is a graph and e ∈ E then let G \ e = G with e deleted. G / e = G with e contracted to a vertex v e .

  4. If G = ( V , E ) is a graph and e ∈ E then let G \ e = G with e deleted. G / e = G with e contracted to a vertex v e . Any multiple edge in G / e is replaced by a single edge.

  5. If G = ( V , E ) is a graph and e ∈ E then let G \ e = G with e deleted. G / e = G with e contracted to a vertex v e . Any multiple edge in G / e is replaced by a single edge. u v Ex. G = e x w

  6. If G = ( V , E ) is a graph and e ∈ E then let G \ e = G with e deleted. G / e = G with e contracted to a vertex v e . Any multiple edge in G / e is replaced by a single edge. u v u v Ex. G \ e = G = e x w x w

  7. If G = ( V , E ) is a graph and e ∈ E then let G \ e = G with e deleted. G / e = G with e contracted to a vertex v e . Any multiple edge in G / e is replaced by a single edge. u v u v u Ex. G \ e = G / e = G = e v e x w x w w

  8. If G = ( V , E ) is a graph and e ∈ E then let G \ e = G with e deleted. G / e = G with e contracted to a vertex v e . Any multiple edge in G / e is replaced by a single edge. u v u v u Ex. G \ e = G / e = G = e v e x w x w w Lemma (Deletion-Contraction, DC) If G = ( V , E ) is any graph and e ∈ E then P ( G , t ) = P ( G \ e ; t ) − P ( G / e ; t ) .

  9. If G = ( V , E ) is a graph and e ∈ E then let G \ e = G with e deleted. G / e = G with e contracted to a vertex v e . Any multiple edge in G / e is replaced by a single edge. u v u v u Ex. G \ e = G / e = G = e v e x w x w w Lemma (Deletion-Contraction, DC) If G = ( V , E ) is any graph and e ∈ E then P ( G , t ) = P ( G \ e ; t ) − P ( G / e ; t ) . Proof. Let e = vx .

  10. If G = ( V , E ) is a graph and e ∈ E then let G \ e = G with e deleted. G / e = G with e contracted to a vertex v e . Any multiple edge in G / e is replaced by a single edge. u v u v u Ex. G \ e = G / e = G = e v e x w x w w Lemma (Deletion-Contraction, DC) If G = ( V , E ) is any graph and e ∈ E then P ( G , t ) = P ( G \ e ; t ) − P ( G / e ; t ) . Proof. It suffices to show P ( G \ e ) = P ( G ) + P ( G / e ). Let e = vx .

  11. If G = ( V , E ) is a graph and e ∈ E then let G \ e = G with e deleted. G / e = G with e contracted to a vertex v e . Any multiple edge in G / e is replaced by a single edge. u v u v u Ex. G \ e = G / e = G = e v e x w x w w Lemma (Deletion-Contraction, DC) If G = ( V , E ) is any graph and e ∈ E then P ( G , t ) = P ( G \ e ; t ) − P ( G / e ; t ) . Proof. It suffices to show P ( G \ e ) = P ( G ) + P ( G / e ). Let e = vx . P ( G \ e ) = (# of proper c : G \ e → { c 1 , . . . , c t } with c ( v ) � = c ( x )) + (# of proper c : G \ e → { c 1 , . . . , c t } with c ( v ) = c ( x ))

  12. If G = ( V , E ) is a graph and e ∈ E then let G \ e = G with e deleted. G / e = G with e contracted to a vertex v e . Any multiple edge in G / e is replaced by a single edge. u v u v u Ex. G \ e = G / e = G = e v e x w x w w Lemma (Deletion-Contraction, DC) If G = ( V , E ) is any graph and e ∈ E then P ( G , t ) = P ( G \ e ; t ) − P ( G / e ; t ) . Proof. It suffices to show P ( G \ e ) = P ( G ) + P ( G / e ). Let e = vx . P ( G \ e ) = (# of proper c : G \ e → { c 1 , . . . , c t } with c ( v ) � = c ( x )) + (# of proper c : G \ e → { c 1 , . . . , c t } with c ( v ) = c ( x )) = P ( G )

  13. If G = ( V , E ) is a graph and e ∈ E then let G \ e = G with e deleted. G / e = G with e contracted to a vertex v e . Any multiple edge in G / e is replaced by a single edge. Ex. G \ e = G / e = G = e Lemma (Deletion-Contraction, DC) If G = ( V , E ) is any graph and e ∈ E then P ( G , t ) = P ( G \ e ; t ) − P ( G / e ; t ) . Proof. It suffices to show P ( G \ e ) = P ( G ) + P ( G / e ). Let e = vx . P ( G \ e ) = (# of proper c : G \ e → { c 1 , . . . , c t } with c ( v ) � = c ( x )) + (# of proper c : G \ e → { c 1 , . . . , c t } with c ( v ) = c ( x )) = P ( G )

  14. If G = ( V , E ) is a graph and e ∈ E then let G \ e = G with e deleted. G / e = G with e contracted to a vertex v e . Any multiple edge in G / e is replaced by a single edge. Ex. G \ e = G / e = G = e Lemma (Deletion-Contraction, DC) If G = ( V , E ) is any graph and e ∈ E then P ( G , t ) = P ( G \ e ; t ) − P ( G / e ; t ) . Proof. It suffices to show P ( G \ e ) = P ( G ) + P ( G / e ). Let e = vx . P ( G \ e ) = (# of proper c : G \ e → { c 1 , . . . , c t } with c ( v ) � = c ( x )) + (# of proper c : G \ e → { c 1 , . . . , c t } with c ( v ) = c ( x )) = P ( G )

  15. If G = ( V , E ) is a graph and e ∈ E then let G \ e = G with e deleted. G / e = G with e contracted to a vertex v e . Any multiple edge in G / e is replaced by a single edge. Ex. G \ e = G / e = G = e Lemma (Deletion-Contraction, DC) If G = ( V , E ) is any graph and e ∈ E then P ( G , t ) = P ( G \ e ; t ) − P ( G / e ; t ) . Proof. It suffices to show P ( G \ e ) = P ( G ) + P ( G / e ). Let e = vx . P ( G \ e ) = (# of proper c : G \ e → { c 1 , . . . , c t } with c ( v ) � = c ( x )) + (# of proper c : G \ e → { c 1 , . . . , c t } with c ( v ) = c ( x )) = P ( G ) + P ( G / e )

  16. If G = ( V , E ) is a graph and e ∈ E then let G \ e = G with e deleted. G / e = G with e contracted to a vertex v e . Any multiple edge in G / e is replaced by a single edge. Ex. G \ e = G / e = G = e Lemma (Deletion-Contraction, DC) If G = ( V , E ) is any graph and e ∈ E then P ( G , t ) = P ( G \ e ; t ) − P ( G / e ; t ) . Proof. It suffices to show P ( G \ e ) = P ( G ) + P ( G / e ). Let e = vx . P ( G \ e ) = (# of proper c : G \ e → { c 1 , . . . , c t } with c ( v ) � = c ( x )) + (# of proper c : G \ e → { c 1 , . . . , c t } with c ( v ) = c ( x )) = P ( G ) + P ( G / e )

  17. If G = ( V , E ) is a graph and e ∈ E then let G \ e = G with e deleted. G / e = G with e contracted to a vertex v e . Any multiple edge in G / e is replaced by a single edge. Ex. G \ e = G / e = G = e Lemma (Deletion-Contraction, DC) If G = ( V , E ) is any graph and e ∈ E then P ( G , t ) = P ( G \ e ; t ) − P ( G / e ; t ) . Proof. It suffices to show P ( G \ e ) = P ( G ) + P ( G / e ). Let e = vx . P ( G \ e ) = (# of proper c : G \ e → { c 1 , . . . , c t } with c ( v ) � = c ( x )) + (# of proper c : G \ e → { c 1 , . . . , c t } with c ( v ) = c ( x )) = P ( G ) + P ( G / e )

  18. If G = ( V , E ) is a graph and e ∈ E then let G \ e = G with e deleted. G / e = G with e contracted to a vertex v e . Any multiple edge in G / e is replaced by a single edge. Ex. G \ e = G / e = G = e Lemma (Deletion-Contraction, DC) If G = ( V , E ) is any graph and e ∈ E then P ( G , t ) = P ( G \ e ; t ) − P ( G / e ; t ) . Proof. It suffices to show P ( G \ e ) = P ( G ) + P ( G / e ). Let e = vx . P ( G \ e ) = (# of proper c : G \ e → { c 1 , . . . , c t } with c ( v ) � = c ( x )) + (# of proper c : G \ e → { c 1 , . . . , c t } with c ( v ) = c ( x )) = P ( G ) + P ( G / e ) as desired.

  19. P ( G , t ) = P ( G \ e ; t ) − P ( G / e ; t ) .

  20. P ( G , t ) = P ( G \ e ; t ) − P ( G / e ; t ) . Theorem (Birkhoff, 1912) For any graph G = ( V , E ) , P ( G , t ) is a polynomial in t.

  21. P ( G , t ) = P ( G \ e ; t ) − P ( G / e ; t ) . Theorem (Birkhoff, 1912) For any graph G = ( V , E ) , P ( G , t ) is a polynomial in t. Proof. Let | V | = n , | E | = m .

  22. P ( G , t ) = P ( G \ e ; t ) − P ( G / e ; t ) . Theorem (Birkhoff, 1912) For any graph G = ( V , E ) , P ( G , t ) is a polynomial in t. Proof. Let | V | = n , | E | = m . Induct on m .

  23. P ( G , t ) = P ( G \ e ; t ) − P ( G / e ; t ) . Theorem (Birkhoff, 1912) For any graph G = ( V , E ) , P ( G , t ) is a polynomial in t. Proof. Let | V | = n , | E | = m . Induct on m . If m = 0 then P ( G )

  24. P ( G , t ) = P ( G \ e ; t ) − P ( G / e ; t ) . Theorem (Birkhoff, 1912) For any graph G = ( V , E ) , P ( G , t ) is a polynomial in t. Proof. Let | V | = n , | E | = m . Induct on m . If m = 0 then P ( G ) = t n .

  25. P ( G , t ) = P ( G \ e ; t ) − P ( G / e ; t ) . Theorem (Birkhoff, 1912) For any graph G = ( V , E ) , P ( G , t ) is a polynomial in t. Proof. Let | V | = n , | E | = m . Induct on m . If m = 0 then P ( G ) = t n . If m > 0, then pick e ∈ E .

  26. P ( G , t ) = P ( G \ e ; t ) − P ( G / e ; t ) . Theorem (Birkhoff, 1912) For any graph G = ( V , E ) , P ( G , t ) is a polynomial in t. Proof. Let | V | = n , | E | = m . Induct on m . If m = 0 then P ( G ) = t n . If m > 0, then pick e ∈ E . Both G \ e and G / e have fewer edges than G .

  27. P ( G , t ) = P ( G \ e ; t ) − P ( G / e ; t ) . Theorem (Birkhoff, 1912) For any graph G = ( V , E ) , P ( G , t ) is a polynomial in t. Proof. Let | V | = n , | E | = m . Induct on m . If m = 0 then P ( G ) = t n . If m > 0, then pick e ∈ E . Both G \ e and G / e have fewer edges than G . So by DC and induction P ( G ) = P ( G \ e ) − P ( G / e )

  28. P ( G , t ) = P ( G \ e ; t ) − P ( G / e ; t ) . Theorem (Birkhoff, 1912) For any graph G = ( V , E ) , P ( G , t ) is a polynomial in t. Proof. Let | V | = n , | E | = m . Induct on m . If m = 0 then P ( G ) = t n . If m > 0, then pick e ∈ E . Both G \ e and G / e have fewer edges than G . So by DC and induction P ( G ) = P ( G \ e ) − P ( G / e ) = polynomial − polynomial

  29. P ( G , t ) = P ( G \ e ; t ) − P ( G / e ; t ) . Theorem (Birkhoff, 1912) For any graph G = ( V , E ) , P ( G , t ) is a polynomial in t. Proof. Let | V | = n , | E | = m . Induct on m . If m = 0 then P ( G ) = t n . If m > 0, then pick e ∈ E . Both G \ e and G / e have fewer edges than G . So by DC and induction P ( G ) = P ( G \ e ) − P ( G / e ) = polynomial − polynomial = polynomial as desired.

  30. P ( G , t ) = P ( G \ e ; t ) − P ( G / e ; t ) . Theorem (Birkhoff, 1912) For any graph G = ( V , E ) , P ( G , t ) is a polynomial in t. Proof. Let | V | = n , | E | = m . Induct on m . If m = 0 then P ( G ) = t n . If m > 0, then pick e ∈ E . Both G \ e and G / e have fewer edges than G . So by DC and induction P ( G ) = P ( G \ e ) − P ( G / e ) = polynomial − polynomial = polynomial as desired. e Ex. � � P

  31. P ( G , t ) = P ( G \ e ; t ) − P ( G / e ; t ) . Theorem (Birkhoff, 1912) For any graph G = ( V , E ) , P ( G , t ) is a polynomial in t. Proof. Let | V | = n , | E | = m . Induct on m . If m = 0 then P ( G ) = t n . If m > 0, then pick e ∈ E . Both G \ e and G / e have fewer edges than G . So by DC and induction P ( G ) = P ( G \ e ) − P ( G / e ) = polynomial − polynomial = polynomial as desired. e Ex. � � � � � � = P P − P

  32. P ( G , t ) = P ( G \ e ; t ) − P ( G / e ; t ) . Theorem (Birkhoff, 1912) For any graph G = ( V , E ) , P ( G , t ) is a polynomial in t. Proof. Let | V | = n , | E | = m . Induct on m . If m = 0 then P ( G ) = t n . If m > 0, then pick e ∈ E . Both G \ e and G / e have fewer edges than G . So by DC and induction P ( G ) = P ( G \ e ) − P ( G / e ) = polynomial − polynomial = polynomial as desired. e Ex. � � � � � � = P P − P = t ( t − 1) 3 − t ( t − 1)( t − 2)

  33. P ( G , t ) = P ( G \ e ; t ) − P ( G / e ; t ) . Theorem (Birkhoff, 1912) For any graph G = ( V , E ) , P ( G , t ) is a polynomial in t. Proof. Let | V | = n , | E | = m . Induct on m . If m = 0 then P ( G ) = t n . If m > 0, then pick e ∈ E . Both G \ e and G / e have fewer edges than G . So by DC and induction P ( G ) = P ( G \ e ) − P ( G / e ) = polynomial − polynomial = polynomial as desired. e Ex. � � � � � � = P P − P = t ( t − 1) 3 − t ( t − 1)( t − 2) = t ( t − 1)( t 2 − 3 t + 3) .

  34. George David Birkhoff

  35. Outline Initial definitions The chromatic polynomial Acyclic orientations and hyperplane arrangements Increasing forests Comments and open questions

  36. An orientation of graph G = ( V , E ) is a directed graph O obtained by replacing each uv ∈ E by one of the arcs � uv or � vu .

  37. An orientation of graph G = ( V , E ) is a directed graph O obtained by replacing each uv ∈ E by one of the arcs � uv or � vu . So the number of orientations of G is 2 | E | .

  38. An orientation of graph G = ( V , E ) is a directed graph O obtained by replacing each uv ∈ E by one of the arcs � uv or � vu . So the number of orientations of G is 2 | E | . Ex. G =

  39. An orientation of graph G = ( V , E ) is a directed graph O obtained by replacing each uv ∈ E by one of the arcs � uv or � vu . So the number of orientations of G is 2 | E | . Ex. G = has orientation O =

  40. An orientation of graph G = ( V , E ) is a directed graph O obtained by replacing each uv ∈ E by one of the arcs � uv or � vu . So the number of orientations of G is 2 | E | . A directed cycle of O is a sequence of distinct vertices v 1 , v 2 , . . . , v k with v i v i +1 an arc for all � i modulo k . Ex. G = has orientation O =

  41. An orientation of graph G = ( V , E ) is a directed graph O obtained by replacing each uv ∈ E by one of the arcs � uv or � vu . So the number of orientations of G is 2 | E | . A directed cycle of O is a sequence of distinct vertices v 1 , v 2 , . . . , v k with v i v i +1 an arc for all � i modulo k . Orientation O is acyclic if it has no directed cycles. Ex. G = has orientation O =

  42. An orientation of graph G = ( V , E ) is a directed graph O obtained by replacing each uv ∈ E by one of the arcs � uv or � vu . So the number of orientations of G is 2 | E | . A directed cycle of O is a sequence of distinct vertices v 1 , v 2 , . . . , v k with v i v i +1 an arc for all � i modulo k . Orientation O is acyclic if it has no directed cycles. Ex. which is acyclic. G = has orientation O =

  43. An orientation of graph G = ( V , E ) is a directed graph O obtained by replacing each uv ∈ E by one of the arcs � uv or � vu . So the number of orientations of G is 2 | E | . A directed cycle of O is a sequence of distinct vertices v 1 , v 2 , . . . , v k with v i v i +1 an arc for all � i modulo k . Orientation O is acyclic if it has no directed cycles. Ex. which is acyclic. G = has orientation O = # of acyclic orientations of G

  44. An orientation of graph G = ( V , E ) is a directed graph O obtained by replacing each uv ∈ E by one of the arcs � uv or � vu . So the number of orientations of G is 2 | E | . A directed cycle of O is a sequence of distinct vertices v 1 , v 2 , . . . , v k with v i v i +1 an arc for all � i modulo k . Orientation O is acyclic if it has no directed cycles. Ex. which is acyclic. G = has orientation O = # of acyclic orientations of G = (# for the triangle)(# for the remaining edge)

  45. An orientation of graph G = ( V , E ) is a directed graph O obtained by replacing each uv ∈ E by one of the arcs � uv or � vu . So the number of orientations of G is 2 | E | . A directed cycle of O is a sequence of distinct vertices v 1 , v 2 , . . . , v k with v i v i +1 an arc for all � i modulo k . Orientation O is acyclic if it has no directed cycles. Ex. which is acyclic. G = has orientation O = # of acyclic orientations of G = (# for the triangle)(# for the remaining edge) = (2 3 − 2)(2)

  46. An orientation of graph G = ( V , E ) is a directed graph O obtained by replacing each uv ∈ E by one of the arcs � uv or � vu . So the number of orientations of G is 2 | E | . A directed cycle of O is a sequence of distinct vertices v 1 , v 2 , . . . , v k with v i v i +1 an arc for all � i modulo k . Orientation O is acyclic if it has no directed cycles. Ex. which is acyclic. G = has orientation O = # of acyclic orientations of G = (# for the triangle)(# for the remaining edge) = (2 3 − 2)(2) = 12 .

  47. An orientation of graph G = ( V , E ) is a directed graph O obtained by replacing each uv ∈ E by one of the arcs � uv or � vu . So the number of orientations of G is 2 | E | . A directed cycle of O is a sequence of distinct vertices v 1 , v 2 , . . . , v k with v i v i +1 an arc for all � i modulo k . Orientation O is acyclic if it has no directed cycles. Ex. which is acyclic. G = has orientation O = # of acyclic orientations of G = (# for the triangle)(# for the remaining edge) = (2 3 − 2)(2) = 12 . P ( G , − 1) = ( − 1) 4 − 4( − 1) 3 + 5( − 1) 2 − 2( − 1)

  48. An orientation of graph G = ( V , E ) is a directed graph O obtained by replacing each uv ∈ E by one of the arcs � uv or � vu . So the number of orientations of G is 2 | E | . A directed cycle of O is a sequence of distinct vertices v 1 , v 2 , . . . , v k with v i v i +1 an arc for all � i modulo k . Orientation O is acyclic if it has no directed cycles. Ex. which is acyclic. G = has orientation O = # of acyclic orientations of G = (# for the triangle)(# for the remaining edge) = (2 3 − 2)(2) = 12 . P ( G , − 1) = ( − 1) 4 − 4( − 1) 3 + 5( − 1) 2 − 2( − 1) = 12 .

  49. An orientation of graph G = ( V , E ) is a directed graph O obtained by replacing each uv ∈ E by one of the arcs � uv or � vu . So the number of orientations of G is 2 | E | . A directed cycle of O is a sequence of distinct vertices v 1 , v 2 , . . . , v k with v i v i +1 an arc for all � i modulo k . Orientation O is acyclic if it has no directed cycles. Ex. which is acyclic. G = has orientation O = # of acyclic orientations of G = (# for the triangle)(# for the remaining edge) = (2 3 − 2)(2) = 12 . P ( G , − 1) = ( − 1) 4 − 4( − 1) 3 + 5( − 1) 2 − 2( − 1) = 12 . Theorem (Stanley, 1973) For any graph G with | V | = n, P ( G , − 1) = ( − 1) n ( # of acyclic orientations of G ) .

  50. An orientation of graph G = ( V , E ) is a directed graph O obtained by replacing each uv ∈ E by one of the arcs � uv or � vu . So the number of orientations of G is 2 | E | . A directed cycle of O is a sequence of distinct vertices v 1 , v 2 , . . . , v k with v i v i +1 an arc for all � i modulo k . Orientation O is acyclic if it has no directed cycles. Ex. which is acyclic. G = has orientation O = # of acyclic orientations of G = (# for the triangle)(# for the remaining edge) = (2 3 − 2)(2) = 12 . P ( G , − 1) = ( − 1) 4 − 4( − 1) 3 + 5( − 1) 2 − 2( − 1) = 12 . Theorem (Stanley, 1973) For any graph G with | V | = n, P ( G , − 1) = ( − 1) n ( # of acyclic orientations of G ) . Note: Blass and S (1986) gave a bijective proof of this theorem.

  51. Richard P. Stanley Andreas Blass

  52. A hyperplane in R n is a subspace H with dim H = n − 1.

  53. A hyperplane in R n is a subspace H with dim H = n − 1. A hyperplane arrangement is a set of hyperplanes A = { H 1 , . . . , H k } .

  54. A hyperplane in R n is a subspace H with dim H = n − 1. A hyperplane arrangement is a set of hyperplanes A = { H 1 , . . . , H k } . Ex. A = { y = 2 x , y = − x } ⊂ R 2 .

  55. A hyperplane in R n is a subspace H with dim H = n − 1. A hyperplane arrangement is a set of hyperplanes A = { H 1 , . . . , H k } . y = 2 x Ex. A = { y = 2 x , y = − x } ⊂ R 2 . y = − x

  56. A hyperplane in R n is a subspace H with dim H = n − 1. A hyperplane arrangement is a set of hyperplanes A = { H 1 , . . . , H k } . The regions of A are the connected components of R n − ∪ i H i . y = 2 x Ex. A = { y = 2 x , y = − x } ⊂ R 2 . y = − x

  57. A hyperplane in R n is a subspace H with dim H = n − 1. A hyperplane arrangement is a set of hyperplanes A = { H 1 , . . . , H k } . The regions of A are the connected components of R n − ∪ i H i . y = 2 x Ex. A = { y = 2 x , y = − x } ⊂ R 2 . # of regions of A = 4. y = − x

  58. A hyperplane in R n is a subspace H with dim H = n − 1. A hyperplane arrangement is a set of hyperplanes A = { H 1 , . . . , H k } . The regions of A are the connected components of R n − ∪ i H i . y = 2 x Ex. A = { y = 2 x , y = − x } ⊂ R 2 . # of regions of A = 4. y = − x Let [ n ] = { 1 , 2 , . . . , n } .

  59. A hyperplane in R n is a subspace H with dim H = n − 1. A hyperplane arrangement is a set of hyperplanes A = { H 1 , . . . , H k } . The regions of A are the connected components of R n − ∪ i H i . y = 2 x Ex. A = { y = 2 x , y = − x } ⊂ R 2 . # of regions of A = 4. y = − x Let [ n ] = { 1 , 2 , . . . , n } . Graph G with V = [ n ] has arrangement A ( G ) = { x i = x j : ij ∈ E } .

  60. A hyperplane in R n is a subspace H with dim H = n − 1. A hyperplane arrangement is a set of hyperplanes A = { H 1 , . . . , H k } . The regions of A are the connected components of R n − ∪ i H i . y = 2 x Ex. A = { y = 2 x , y = − x } ⊂ R 2 . # of regions of A = 4. y = − x Let [ n ] = { 1 , 2 , . . . , n } . Graph G with V = [ n ] has arrangement A ( G ) = { x i = x j : ij ∈ E } . 1 Ex. G = 2 3

  61. A hyperplane in R n is a subspace H with dim H = n − 1. A hyperplane arrangement is a set of hyperplanes A = { H 1 , . . . , H k } . The regions of A are the connected components of R n − ∪ i H i . y = 2 x Ex. A = { y = 2 x , y = − x } ⊂ R 2 . # of regions of A = 4. y = − x Let [ n ] = { 1 , 2 , . . . , n } . Graph G with V = [ n ] has arrangement A ( G ) = { x i = x j : ij ∈ E } . 1 Ex. A ( G ) = { x 1 = x 2 , x 1 = x 3 } ⊂ R 3 . G = 2 3

  62. A hyperplane in R n is a subspace H with dim H = n − 1. A hyperplane arrangement is a set of hyperplanes A = { H 1 , . . . , H k } . The regions of A are the connected components of R n − ∪ i H i . y = 2 x Ex. A = { y = 2 x , y = − x } ⊂ R 2 . # of regions of A = 4. y = − x Let [ n ] = { 1 , 2 , . . . , n } . Graph G with V = [ n ] has arrangement A ( G ) = { x i = x j : ij ∈ E } . 1 Ex. A ( G ) = { x 1 = x 2 , x 1 = x 3 } ⊂ R 3 . G = # of regions of A ( G ) = 4. 2 3

  63. A hyperplane in R n is a subspace H with dim H = n − 1. A hyperplane arrangement is a set of hyperplanes A = { H 1 , . . . , H k } . The regions of A are the connected components of R n − ∪ i H i . y = 2 x Ex. A = { y = 2 x , y = − x } ⊂ R 2 . # of regions of A = 4. y = − x Let [ n ] = { 1 , 2 , . . . , n } . Graph G with V = [ n ] has arrangement A ( G ) = { x i = x j : ij ∈ E } . 1 Ex. A ( G ) = { x 1 = x 2 , x 1 = x 3 } ⊂ R 3 . G = # of regions of A ( G ) = 4. 2 3 P ( G , t ) = t ( t − 1) 2

  64. A hyperplane in R n is a subspace H with dim H = n − 1. A hyperplane arrangement is a set of hyperplanes A = { H 1 , . . . , H k } . The regions of A are the connected components of R n − ∪ i H i . y = 2 x Ex. A = { y = 2 x , y = − x } ⊂ R 2 . # of regions of A = 4. y = − x Let [ n ] = { 1 , 2 , . . . , n } . Graph G with V = [ n ] has arrangement A ( G ) = { x i = x j : ij ∈ E } . 1 Ex. A ( G ) = { x 1 = x 2 , x 1 = x 3 } ⊂ R 3 . G = # of regions of A ( G ) = 4. 2 3 P ( G , t ) = t ( t − 1) 2 = ⇒ P ( G , − 1) = − ( − 2) 2 = − 4 .

  65. A hyperplane in R n is a subspace H with dim H = n − 1. A hyperplane arrangement is a set of hyperplanes A = { H 1 , . . . , H k } . The regions of A are the connected components of R n − ∪ i H i . y = 2 x Ex. A = { y = 2 x , y = − x } ⊂ R 2 . # of regions of A = 4. y = − x Let [ n ] = { 1 , 2 , . . . , n } . Graph G with V = [ n ] has arrangement A ( G ) = { x i = x j : ij ∈ E } . 1 Ex. A ( G ) = { x 1 = x 2 , x 1 = x 3 } ⊂ R 3 . G = # of regions of A ( G ) = 4. 2 3 P ( G , t ) = t ( t − 1) 2 = ⇒ P ( G , − 1) = − ( − 2) 2 = − 4 . Theorem (Zaslavsky, 1975) For any graph G with V = [ n ] , P ( G , − 1) = ( − 1) n ( # of regions of A ( G )) .

  66. A hyperplane in R n is a subspace H with dim H = n − 1. A hyperplane arrangement is a set of hyperplanes A = { H 1 , . . . , H k } . The regions of A are the connected components of R n − ∪ i H i . y = 2 x Ex. A = { y = 2 x , y = − x } ⊂ R 2 . # of regions of A = 4. y = − x Let [ n ] = { 1 , 2 , . . . , n } . Graph G with V = [ n ] has arrangement A ( G ) = { x i = x j : ij ∈ E } . 1 Ex. A ( G ) = { x 1 = x 2 , x 1 = x 3 } ⊂ R 3 . G = # of regions of A ( G ) = 4. 2 3 P ( G , t ) = t ( t − 1) 2 = ⇒ P ( G , − 1) = − ( − 2) 2 = − 4 . Theorem (Zaslavsky, 1975) For any graph G with V = [ n ] , P ( G , − 1) = ( − 1) n ( # of regions of A ( G )) . There is a bijection: acyclic orientations of G ↔ regions of A ( G ).

  67. Thomas Zaslavsky

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