The $ H^* $-Polynomial of the Order Polytope of the Zig-Zag Poset
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Two Poset Polytopes
Discrete Comput Geom 1:9-23 (1986) G eometrv)i.~.reh, ~ ( :*mllmlati~ml © l~fi $1~ter-Vtrlq New Yorklu¢. t¢ Two Poset Polytopes Richard P. Stanley* Department of Mathematics, Massachusetts Institute of Technology, Cambridge, MA 02139 Abstract. Two convex polytopes, called the order polytope d)(P) and chain polytope <~(P), are associated with a finite poset P. There is a close interplay between the combinatorial structure of P and the geometric structure of E~(P). For instance, the order polynomial fl(P, m) of P and Ehrhart poly- nomial i(~9(P),m) of O(P) are related by f~(P,m+l)=i(d)(P),m). A "transfer map" then allows us to transfer properties of O(P) to W(P). In particular, we transfer known inequalities involving linear extensions of P to some new inequalities. I. The Order Polytope Our aim is to investigate two convex polytopes associated with a finite partially ordered set (poset) P. The first of these, which we call the "order polytope" and denote by O(P), has been the subject of considerable scrutiny, both explicit and implicit, Much of what we say about the order polytope will be essentially a review of well-known results, albeit ones scattered throughout the literature, sometimes in a rather obscure form. The second polytope, called the "chain polytope" and denoted if(P), seems never to have been previously considered per se. It is a special case of the vertex-packing polytope of a graph (see Section 2) but has many special properties not in general valid or meaningful for graphs. -
7 LATTICE POINTS and LATTICE POLYTOPES Alexander Barvinok
7 LATTICE POINTS AND LATTICE POLYTOPES Alexander Barvinok INTRODUCTION Lattice polytopes arise naturally in algebraic geometry, analysis, combinatorics, computer science, number theory, optimization, probability and representation the- ory. They possess a rich structure arising from the interaction of algebraic, convex, analytic, and combinatorial properties. In this chapter, we concentrate on the the- ory of lattice polytopes and only sketch their numerous applications. We briefly discuss their role in optimization and polyhedral combinatorics (Section 7.1). In Section 7.2 we discuss the decision problem, the problem of finding whether a given polytope contains a lattice point. In Section 7.3 we address the counting problem, the problem of counting all lattice points in a given polytope. The asymptotic problem (Section 7.4) explores the behavior of the number of lattice points in a varying polytope (for example, if a dilation is applied to the polytope). Finally, in Section 7.5 we discuss problems with quantifiers. These problems are natural generalizations of the decision and counting problems. Whenever appropriate we address algorithmic issues. For general references in the area of computational complexity/algorithms see [AB09]. We summarize the computational complexity status of our problems in Table 7.0.1. TABLE 7.0.1 Computational complexity of basic problems. PROBLEM NAME BOUNDED DIMENSION UNBOUNDED DIMENSION Decision problem polynomial NP-hard Counting problem polynomial #P-hard Asymptotic problem polynomial #P-hard∗ Problems with quantifiers unknown; polynomial for ∀∃ ∗∗ NP-hard ∗ in bounded codimension, reduces polynomially to volume computation ∗∗ with no quantifier alternation, polynomial time 7.1 INTEGRAL POLYTOPES IN POLYHEDRAL COMBINATORICS We describe some combinatorial and computational properties of integral polytopes. -
Double Posets and Real Invariant Varieties Dissertation
Fachbereich Mathematik und Informatik der Freien Universität Berlin Double posets and real invariant varieties Two interactions between combinatorics and geometry Dissertation eingereicht von Tobias Friedl Berlin 2017 Advisor and first reviewer: Prof. Dr. Raman Sanyal Second reviewer: Prof. Dr. Francisco Santos Third reviewer: Priv.-Doz. Dr. Christian Stump Date of the defense: May 19, 2017 Acknowledgements My deepest thanks go to my advisor Raman Sanyal. A PhD-student can only hope for an advisor who is as dedicated and enthusiastic about mathematics as you are. Thank you for getting your hands dirty and spending many hours in front of the blackboard teaching me how to do research. I spent the last years in the amazing and inspiring work group directed by Günter Ziegler at FU Berlin. Thank you for providing such a welcoming and challenging work environment. I really enjoyed the time with my friends and colleagues at the "villa", most of all Francesco Grande, Katharina Jochemko, Katy Beeler, Albert Haase, Lauri Loiskekoski, Philip Brinkmann, Nevena Palić and Jean-Philippe Labbé. Thanks also to Elke Pose, who provides valuable support and keeps bureaucracy at a low level. I want to thank my coauthor Cordian Riener for many fruitful mathematical discussions and for an interesting and enjoyable week of research in Helsinki at Aalto University. Moreover, I’d like to express my gratitude towards my coauthor and friend Tom Chappell. Thanks to the reviewers Paco Santos and Christian Stump for their helpful com- ments and to Christian additionally for many discussions regarding the combinatorics of reflection groups and posets throughout the last years. -
Combinatorial and Discrete Problems in Convex Geometry
COMBINATORIAL AND DISCRETE PROBLEMS IN CONVEX GEOMETRY A dissertation submitted to Kent State University in partial fulfillment of the requirements for the degree of Doctor of Philosophy by Matthew R. Alexander September, 2017 Dissertation written by Matthew R. Alexander B.S., Youngstown State University, 2011 M.A., Kent State University, 2013 Ph.D., Kent State University, 2017 Approved by Dr. Artem Zvavitch , Co-Chair, Doctoral Dissertation Committee Dr. Matthieu Fradelizi , Co-Chair Dr. Dmitry Ryabogin , Members, Doctoral Dissertation Committee Dr. Fedor Nazarov Dr. Feodor F. Dragan Dr. Jonathan Maletic Accepted by Dr. Andrew Tonge , Chair, Department of Mathematical Sciences Dr. James L. Blank , Dean, College of Arts and Sciences TABLE OF CONTENTS LIST OF FIGURES . vi ACKNOWLEDGEMENTS ........................................ vii NOTATION ................................................. viii I Introduction 1 1 This Thesis . .2 2 Preliminaries . .4 2.1 Convex Geometry . .4 2.2 Basic functions and their properties . .5 2.3 Classical theorems . .6 2.4 Polarity . .8 2.5 Volume Product . .8 II The Discrete Slicing Problem 11 3 The Geometry of Numbers . 12 3.1 Introduction . 12 3.2 Lattices . 12 3.3 Minkowski's Theorems . 14 3.4 The Ehrhart Polynomial . 15 4 Geometric Tomography . 17 4.1 Introduction . 17 iii 4.2 Projections of sets . 18 4.3 Sections of sets . 19 4.4 The Isomorphic Busemann-Petty Problem . 20 5 The Discrete Slicing Problem . 22 5.1 Introduction . 22 5.2 Solution in Z2 ............................................. 23 5.3 Approach via Discrete F. John Theorem . 23 5.4 Solution using known inequalities . 26 5.5 Solution for Unconditional Bodies . 27 5.6 Discrete Brunn's Theorem . -
Classification of Ehrhart Polynomials of Integral Simplices Akihiro Higashitani
Classification of Ehrhart polynomials of integral simplices Akihiro Higashitani To cite this version: Akihiro Higashitani. Classification of Ehrhart polynomials of integral simplices. 24th International Conference on Formal Power Series and Algebraic Combinatorics (FPSAC 2012), 2012, Nagoya, Japan. pp.587-594. hal-01283113 HAL Id: hal-01283113 https://hal.archives-ouvertes.fr/hal-01283113 Submitted on 5 Mar 2016 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. FPSAC 2012, Nagoya, Japan DMTCS proc. AR, 2012, 587–594 Classification of Ehrhart polynomials of integral simplices Akihiro Higashitani y Department of Pure and Applied Mathematics, Graduate School of Information Science and Technology, Osaka University, Toyonaka, Osaka 560-0043, Japan Abstract. Let δ(P) = (δ0; δ1; : : : ; δd) be the δ-vector of an integral convex polytope P of dimension d. First, by Pd using two well-known inequalities on δ-vectors, we classify the possible δ-vectors with i=0 δi ≤ 3. Moreover, by Pd means of Hermite normal forms of square matrices, we also classify the possible δ-vectors with i=0 δi = 4. In Pd Pd addition, for i=0 δi ≥ 5, we characterize the δ-vectors of integral simplices when i=0 δi is prime. -
Arxiv:1902.07301V3 [Math.CO] 13 Feb 2020 Which N H Itiuinwhere Distribution the and of Ojcuefo 8]Wihhsntbe Eovd H Oere Sole the Resolved
MINUSCULE DOPPELGANGERS,¨ THE COINCIDENTAL DOWN-DEGREE EXPECTATIONS PROPERTY, AND ROWMOTION SAM HOPKINS Abstract. We relate Reiner, Tenner, and Yong’s coincidental down-degree expec- tations (CDE) property of posets to the minuscule doppelg¨anger pairs studied by Hamaker, Patrias, Pechenik, and Williams. Via this relation, we put forward a series of conjectures which suggest that the minuscule doppelg¨anger pairs behave “as if” they had isomorphic comparability graphs, even though they do not. We further explore the idea of minuscule doppelg¨anger pairs pretending to have isomor- phic comparability graphs by considering the rowmotion operator on order ideals. We conjecture that the members of a minuscule doppelg¨anger pair behave the same way under rowmotion, as they would if they had isomorphic comparability graphs. Moreover, we conjecture that these pairs continue to behave the same way under the piecewise-linear and birational liftings of rowmotion introduced by Einstein and Propp. This conjecture motivates us to study the homomesies (in the sense of Propp and Roby) exhibited by birational rowmotion. We establish the birational analog of the antichain cardinality homomesy for the major examples of posets known or conjectured to have finite birational rowmotion order (namely: minuscule posets and root posets of coincidental type). 1. Introduction Let P be a finite poset. The down-degree of p ∈ P is the number of elements of P which p covers. Consider two probability distributions on P : the uniform distribution; and the distribution where p ∈ P occurs proportional to the number of maximal chains of P containing p. We say that P has the coincidental down-degree expectations (CDE) property if the expected value of the down-degree statistic is the same for these two distributions. -
Unimodular Triangulations of Dilated 3-Polytopes
Trudy Moskov. Matem. Obw. Trans. Moscow Math. Soc. Tom 74 (2013), vyp. 2 2013, Pages 293–311 S 0077-1554(2014)00220-X Article electronically published on April 9, 2014 UNIMODULAR TRIANGULATIONS OF DILATED 3-POLYTOPES F. SANTOS AND G. M. ZIEGLER Abstract. A seminal result in the theory of toric varieties, by Knudsen, Mumford and Waterman (1973), asserts that for every lattice polytope P there is a positive integer k such that the dilated polytope kP has a unimodular triangulation. In dimension 3, Kantor and Sarkaria (2003) have shown that k = 4 works for every polytope. But this does not imply that every k>4 works as well. We here study the values of k for which the result holds, showing that: (1) It contains all composite numbers. (2) It is an additive semigroup. These two properties imply that the only values of k that may not work (besides 1 and 2, which are known not to work) are k ∈{3, 5, 7, 11}.Withanad-hocconstruc- tion we show that k =7andk = 11 also work, except in this case the triangulation cannot be guaranteed to be “standard” in the boundary. All in all, the only open cases are k =3andk =5. § 1. Introduction Let Λ ⊂ Rd be an affine lattice. A lattice polytope (or an integral polytope [4]) is a polytope P with all its vertices in Λ. We are particularly interested in lattice (full- dimensional) simplices. The vertices of a lattice simplex Δ are an affine basis for Rd, hence they induce a sublattice ΛΔ of Λ of index equal to the normalized volume of Δ with respect to Λ. -
Triangulations of Integral Polytopes, Examples and Problems
数理解析研究所講究録 955 巻 1996 年 133-144 133 Triangulations of integral polytopes, examples and problems Jean-Michel KANTOR We are interested in polytopes in real space of arbitrary dimension, having vertices with integral co- ordinates: integral polytopes. The recent increase of interest for the study of these $\mathrm{p}\mathrm{o}\mathrm{l}\mathrm{y}$ topes and their triangulations has various motivations; let us mention the main ones: . the beautiful theory of toric varieties has built a bridge between algebraic geometry and the combina- torics of these integral polytopes [12]. Triangulations of cones and polytopes occur naturally for example in problems of existence of crepant resolution of singularities $[1,5]$ . The work of the school of $\mathrm{I}.\mathrm{M}$ . Gelfand on secondary polytopes gives a new insight on triangulations, with applications to algebraic geometry and group theory [13]. In statistical physics, random tilings lead to some interesting problems dealing with triangulations of order polytopes $[6,29]$ . With these motivations in mind, we introduce new tools: Generalizations of the Ehrhart polynomial (counting points “modulo congruence”), discrete length between integral points (and studying the geometry associated to it), arithmetic Euler-Poincar\'e formula which gives, in dimension 3, the Ehrhart polynomial in terms of the $\mathrm{f}$-vector of a minimal triangulation of the polytope (Theorem 7). Finally, let us mention the results in dimension 2 of the late Peter Greenberg, they led us to the study of “Arithmetical $\mathrm{P}\mathrm{L}$-topology” which, we believe with M. Gromov, D. Sullivan, and P. Vogel, has not yet revealed all its beauties. -
The Minkowski Property and Reflexivity of Marked Poset Polytopes
The Minkowski property and reflexivity of marked poset polytopes Xin Fang Ghislain Fourier Mathematical Institute Lehrstuhl B f¨ur Mathematik University of Cologne RWTH Aachen University Cologne, Germany Aachen, Germany [email protected] [email protected] Christoph Pegel Institute for Algebra, Number Theory, and Discrete Mathematics Leibniz University Hannover Hannover, Germany [email protected] Submitted: Sep 3, 2018; Accepted: Jan 14, 2020; Published: Jan 24, 2020 c The authors. Released under the CC BY-ND license (International 4.0). Abstract We provide a Minkowski sum decomposition of marked chain-order polytopes into building blocks associated to elementary markings and thus give an explicit minimal set of generators of an associated semi-group algebra. We proceed by characterizing the reflexive polytopes among marked chain-order polytopes as those with the underlying marked poset being ranked. Mathematics Subject Classifications: 52B20, 06A07 1 Introduction To a given finite poset, Stanley [22] associated two polytopes|the order polytope and the chain polytope, which are lattice polytopes having the same Ehrhart polynomial. When the underlying poset is a distributive lattice, Hibi studied in [15] the geometry of the toric variety associated to the order polytope, nowadays called Hibi varieties. Together with Li, they also initiated the study of the toric variety associated to the chain polytope [17]. The singularities of Hibi varieties arising from Gelfand-Tsetlin degenerations of Grassmann varieties are studied by Brown and Lakshmibai in [5] (see also the references therein). Motivated by the representation theory of complex semi-simple Lie algebras, namely the framework of PBW-degenerations, Ardila, Bliem and Salazar [1] introduced the notion the electronic journal of combinatorics 27(1) (2020), #P1.27 1 of marked order polytopes and marked chain polytopes, defined on marked posets. -
Gelfand-Tsetlin Polytopes: a Story of Flow and Order Polytopes
GELFAND-TSETLIN POLYTOPES: A STORY OF FLOW & ORDER POLYTOPES RICKY INI LIU, KAROLA MESZ´ AROS,´ AND AVERY ST. DIZIER Abstract. Gelfand-Tsetlin polytopes are prominent objects in algebraic combinatorics. The number of integer points of the Gelfand-Tsetlin polytope GT(λ) is equal to the dimension of the corresponding ir- reducible representation of GL(n). It is well-known that the Gelfand-Tsetlin polytope is a marked order polytope; the authors have recently shown it to be a flow polytope. In this paper, we draw corollaries from this result and establish a general theory connecting marked order polytopes and flow polytopes. 1. Introduction n Given a partition λ = (λ1; : : : ; λn) 2 Z≥0, the Gelfand-Tsetlin polytope GT(λ) is the set of all nonnegative triangular arrays x11 x12 ··· x1n x22 x23 ··· x2n ······ xn−1;n−1 xn−1;n xnn such that xin = λi for all 1 ≤ i ≤ n; xi−1;j−1 ≥ xij ≥ xi−1;j for all 1 ≤ i ≤ j ≤ n: The integer points of GT(λ) are in bijection with semistandard Young tableaux of shape λ on the alphabet [n]. Moreover, the integer point transform of GT(λ) projects to the Schur function sλ. The latter beautiful result generalizes to Minkowski sums of Gelfand-Tsetlin polytopes and certain Schubert polynomials as well [4]. In this paper we will be interested in the Gelfand-Tsetlin polytope GT(λ) from a purely discrete geometric point of view: we will explore it as a marked order polytope and as a flow polytope. Ardila et. al introduced marked order polytopes and showed that Gelfand-Tsetlin polytopes are examples of them in [1]; the present authors have recently shown that Gelfand-Tsetlin polytopes are flow polytopes [4]. -
Arxiv:1904.05974V3 [Cs.DS] 11 Jul 2019
Quasi-popular Matchings, Optimality, and Extended Formulations Yuri Faenza1 and Telikepalli Kavitha2? 1 IEOR, Columbia University, New York, USA. [email protected] 2 Tata Institute of Fundamental Research, Mumbai, India. [email protected] Abstract. Let G = (A [ B; E) be an instance of the stable marriage problem where every vertex ranks its neighbors in a strict order of preference. A matching M in G is popular if M does not lose a head-to-head election against any matching N. That is, φ(M; N) ≥ φ(N; M) where φ(M; N) (similarly, φ(N; M)) is the number of votes for M (resp., N) in the M-vs-N election. Popular matchings are a well- studied generalization of stable matchings, introduced with the goal of enlarging the set of admissible solutions, while maintaining a certain level of fairness. Every stable matching is a popular matching of minimum size. Unfortunately, it is NP-hard to find a popular matching of minimum cost, when a linear cost function is given on the edge set – even worse, the min-cost popular matching problem is hard to approximate up to any factor. Let opt be the cost of a min-cost popular matching. Our goal is to efficiently compute a matching of cost at most opt by paying the price of mildly relaxing popularity. Call a matching M quasi-popular if φ(M; N) ≥ φ(N; M)=2 for every matching N. Our main positive result is a bi-criteria algorithm that finds in polynomial time a quasi-popular matching of cost at most opt. -
LMS Undergraduate Summer School 2016 the Many Faces of Polyhedra
LMS Undergraduate Summer School 2016 The many faces of polyhedra 1. Pick's theorem 2 2 Let L = Z ⊂ R be integer lattice, P be polygon with vertices in L (integral polygon) Figure 1. An example of integral polygon Let I and B be the number of lattice points in the interior of P and on its boundary respectively. In the example shown above I = 4; B = 12. Pick's theorem. For any integral polygon P its area A can be given by Pick's formula B (1) A = I + - 1: 2 12 In particular, in our example A = 4 + 2 - 1 = 9, which can be checked directly. The following example (due to Reeve) shows that no such formula can be found for polyhedra. Consider the tetrahedron Th with vertices (0; 0; 0); (1; 0; 0); (0; 1; 0); (1; 1; h), h 2 Z (Reeve's tetrahedron, see Fig. 2). Figure 2. Reeve's tetrahedron Th It is easy to see that Th has no interior lattice points and 4 lattice points on the boundary, but its volume is Vol(Th) = h=6: 2 2. Ehrhart theory d Let P ⊂ R be an integral convex polytope, which can be defined as the convex hull of its vertices v1; : : : ; vN 2 d Z : P = fx1v1 + : : : xNvN; x1 + : : : xN = 1; xi ≥ 0g: For d = 2 and d = 3 we have convex polygon and convex polyhedron respectively. Define d LP(t) := jtP \ Z j; which is the number of lattice points in the scaled polytope tP; t 2 Z: Ehrhart theorem. LP(t) is a polynomial in t of degree d with rational coefficients and with highest coefficient being volume of P: d LP(t) = Vol(P)t + ··· + 1: LP(t) is called Ehrhart polynomial.