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O RIENTED M ATROIDS W HEN T HEY S LEEP ? Jess A. De Loera Partly - PowerPoint PPT Presentation

D O L INEAR P ROGRAMS D REAM OF O RIENTED M ATROIDS W HEN T HEY S LEEP ? Jess A. De Loera Partly based on work with subsets of R. Hemmecke, J. Lee, S. Kafer, L. Sanit, C. Vinzant, B. Sturmfels, I. Adler, S. Klee, and Z. Zhang 10th Cargese


  1. D O L INEAR P ROGRAMS D REAM OF O RIENTED M ATROIDS W HEN T HEY S LEEP ? Jesús A. De Loera Partly based on work with subsets of R. Hemmecke, J. Lee, S. Kafer, L. Sanità, C. Vinzant, B. Sturmfels, I. Adler, S. Klee, and Z. Zhang 10th Cargese Conference— September 2019 Dedicate to the memory of Frédéric Maffray 1

  2. T HIS TALK IS ABOUT The GEOMETRY of LINEAR OPTIMIZATION... Minimize c T x subject to A x = b and x ≥ 0 ; Oriented Matroids part of the history of LP: Rockafellar, Bland, Fukuda, Terlaky, Todd, etc Main Message: Given an LP, we can insert it or embedded as part of a larger oriented matroid and win! MY GOAL : Show you 3 examples giving insight for the simplex method and log-barrier interior point methods. 2

  3. T HIS TALK IS ABOUT The GEOMETRY of LINEAR OPTIMIZATION... Minimize c T x subject to A x = b and x ≥ 0 ; Oriented Matroids part of the history of LP: Rockafellar, Bland, Fukuda, Terlaky, Todd, etc Main Message: Given an LP, we can insert it or embedded as part of a larger oriented matroid and win! MY GOAL : Show you 3 examples giving insight for the simplex method and log-barrier interior point methods. 2

  4. T HIS TALK IS ABOUT The GEOMETRY of LINEAR OPTIMIZATION... Minimize c T x subject to A x = b and x ≥ 0 ; Oriented Matroids part of the history of LP: Rockafellar, Bland, Fukuda, Terlaky, Todd, etc Main Message: Given an LP, we can insert it or embedded as part of a larger oriented matroid and win! MY GOAL : Show you 3 examples giving insight for the simplex method and log-barrier interior point methods. 2

  5. O UTLINE 1 O RIENTED M ATROIDS AND THE S IMPLEX - METHOD 2 O RIENTED M ATROIDS AND I NTERIOR - POINT M ETHODS 3

  6. R ECALL THE SIMPLEX METHOD ... The simplex method walks along the graph of the polytope, each time moving to a better and better cost vertex! 4

  7. BIG ISSUE 1: Is there a polynomial bound of the diameter in terms of the number of facets and dimension? WARNING. If diameter is exponential, then all simplex algorithms will be exponential in the worst case. ( facets ( P ) − dim ( P )) + 1 ≤ Diameter ≤ ( facets ( P ) − dim ( P )) log ( dim ( P )) . 5

  8. BIG ISSUE 1: Is there a polynomial bound of the diameter in terms of the number of facets and dimension? WARNING. If diameter is exponential, then all simplex algorithms will be exponential in the worst case. ( facets ( P ) − dim ( P )) + 1 ≤ Diameter ≤ ( facets ( P ) − dim ( P )) log ( dim ( P )) . 5

  9. F ROM POLYTOPES TO ORIENTED MATROIDS 6

  10. F ROM ARRANGEMENTS TO O RIENTED M ATROIDS Consider a hyperplane arrangement of n hyperplanes in R r , intersect it with sphere S r − 1 . These sign vectors constitute an abstraction of hyperplane arrangements, an ORIENTED MATROID! Covectors of minimal support are called cocircuits of OM (Vertices!) We can also call the 1-skeleton the cocircuit graph. Covectors of maximal The collection of sign support are called topes of vectors representing cells OM. (polytopal regions!) are covectors . 7

  11. F ROM ARRANGEMENTS TO O RIENTED M ATROIDS Consider a hyperplane arrangement of n hyperplanes in R r , intersect it with sphere S r − 1 . These sign vectors constitute an abstraction of hyperplane arrangements, an ORIENTED MATROID! Covectors of minimal support are called cocircuits of OM (Vertices!) We can also call the 1-skeleton the cocircuit graph. Covectors of maximal The collection of sign support are called topes of vectors representing cells OM. (polytopal regions!) are covectors . 7

  12. F ROM ARRANGEMENTS TO O RIENTED M ATROIDS Consider a hyperplane arrangement of n hyperplanes in R r , intersect it with sphere S r − 1 . These sign vectors constitute an abstraction of hyperplane arrangements, an ORIENTED MATROID! Covectors of minimal support are called cocircuits of OM (Vertices!) We can also call the 1-skeleton the cocircuit graph. Covectors of maximal The collection of sign support are called topes of vectors representing cells OM. (polytopal regions!) are covectors . 7

  13. F ROM ARRANGEMENTS TO O RIENTED M ATROIDS Consider a hyperplane arrangement of n hyperplanes in R r , intersect it with sphere S r − 1 . These sign vectors constitute an abstraction of hyperplane arrangements, an ORIENTED MATROID! Covectors of minimal support are called cocircuits of OM (Vertices!) We can also call the 1-skeleton the cocircuit graph. Covectors of maximal The collection of sign support are called topes of vectors representing cells OM. (polytopal regions!) are covectors . 7

  14. F ROM ARRANGEMENTS TO O RIENTED M ATROIDS Consider a hyperplane arrangement of n hyperplanes in R r , intersect it with sphere S r − 1 . These sign vectors constitute an abstraction of hyperplane arrangements, an ORIENTED MATROID! Covectors of minimal support are called cocircuits of OM (Vertices!) We can also call the 1-skeleton the cocircuit graph. Covectors of maximal The collection of sign support are called topes of vectors representing cells OM. (polytopal regions!) are covectors . 7

  15. F ROM ARRANGEMENTS TO O RIENTED M ATROIDS Consider a hyperplane arrangement of n hyperplanes in R r , intersect it with sphere S r − 1 . These sign vectors constitute an abstraction of hyperplane arrangements, an ORIENTED MATROID! Covectors of minimal support are called cocircuits of OM (Vertices!) We can also call the 1-skeleton the cocircuit graph. Covectors of maximal The collection of sign support are called topes of vectors representing cells OM. (polytopal regions!) are covectors . 7

  16. D IAMETER OF O RIENTED M ATROIDS Want to bound the distance between any two cocircuits in the graph of an oriented matroid. The diameter of an Oriented Matroid is the diameter of the cocircuit graph. Denote by ∆( n , r ) the largest diameter on Oriented Matroids with cardinality n and rank r . KEY Q UESTION How do we bound ∆( n , r ) ? This is of course related to the Hirsch conjecture for polytopes!! 8

  17. D IAMETER OF O RIENTED M ATROIDS Want to bound the distance between any two cocircuits in the graph of an oriented matroid. The diameter of an Oriented Matroid is the diameter of the cocircuit graph. Denote by ∆( n , r ) the largest diameter on Oriented Matroids with cardinality n and rank r . KEY Q UESTION How do we bound ∆( n , r ) ? This is of course related to the Hirsch conjecture for polytopes!! 8

  18. D IAMETER OF O RIENTED M ATROIDS Want to bound the distance between any two cocircuits in the graph of an oriented matroid. The diameter of an Oriented Matroid is the diameter of the cocircuit graph. Denote by ∆( n , r ) the largest diameter on Oriented Matroids with cardinality n and rank r . KEY Q UESTION How do we bound ∆( n , r ) ? This is of course related to the Hirsch conjecture for polytopes!! 8

  19. C ONJECTURES C ONJECTURE 1 For all n and r , ∆( n , r ) = n − r + 2 . Given a sign vector X , the antipodal − X has all signs reversed (that is, for all e ∈ E , ( − X ) e = − X e ). L EMMA Antipodals are at distance at least n − r + 2 . Thus diameter is at least n − r + 2 . 9

  20. C ONJECTURES C ONJECTURE 1 For all n and r , ∆( n , r ) = n − r + 2 . Given a sign vector X , the antipodal − X has all signs reversed (that is, for all e ∈ E , ( − X ) e = − X e ). L EMMA Antipodals are at distance at least n − r + 2 . Thus diameter is at least n − r + 2 . 9

  21. C ONJECTURES C ONJECTURE 1 For all n and r , ∆( n , r ) = n − r + 2 . Given a sign vector X , the antipodal − X has all signs reversed (that is, for all e ∈ E , ( − X ) e = − X e ). L EMMA Antipodals are at distance at least n − r + 2 . Thus diameter is at least n − r + 2 . 9

  22. C ONJECTURES C ONJECTURE 1 For all n and r , ∆( n , r ) = n − r + 2 . Given a sign vector X , the antipodal − X has all signs reversed (that is, for all e ∈ E , ( − X ) e = − X e ). L EMMA Antipodals are at distance at least n − r + 2 . Thus diameter is at least n − r + 2 . 9

  23. S IMPLIFICATION L EMMAS Definition: A rank r oriented matroid is uniform , when every cocircuit X is defined by r − 1. L EMMA (A DLER -JDL-K LEE -Z HANG ) For all n , r, ∆( n , r ) is achieved by some uniform oriented matroid of cardinality n and rank r. C ONJECTURE 2 Only the distance of antipodals can achieve the diameter length. That is, for X , Y ∈ C ∗ , X � = − Y , d ( X , Y ) ≤ n − r + 1 . 10

  24. S IMPLIFICATION L EMMAS Definition: A rank r oriented matroid is uniform , when every cocircuit X is defined by r − 1. L EMMA (A DLER -JDL-K LEE -Z HANG ) For all n , r, ∆( n , r ) is achieved by some uniform oriented matroid of cardinality n and rank r. C ONJECTURE 2 Only the distance of antipodals can achieve the diameter length. That is, for X , Y ∈ C ∗ , X � = − Y , d ( X , Y ) ≤ n − r + 1 . 10

  25. S IMPLIFICATION L EMMAS Definition: A rank r oriented matroid is uniform , when every cocircuit X is defined by r − 1. L EMMA (A DLER -JDL-K LEE -Z HANG ) For all n , r, ∆( n , r ) is achieved by some uniform oriented matroid of cardinality n and rank r. C ONJECTURE 2 Only the distance of antipodals can achieve the diameter length. That is, for X , Y ∈ C ∗ , X � = − Y , d ( X , Y ) ≤ n − r + 1 . 10

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