The Minimax Theorem and Algorithms for Linear Programming∗
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On the Circuit Diameter Conjecture
On the Circuit Diameter Conjecture Steffen Borgwardt1, Tamon Stephen2, and Timothy Yusun2 1 University of Colorado Denver [email protected] 2 Simon Fraser University {tamon,tyusun}@sfu.ca Abstract. From the point of view of optimization, a critical issue is relating the combina- torial diameter of a polyhedron to its number of facets f and dimension d. In the seminal paper of Klee and Walkup [KW67], the Hirsch conjecture of an upper bound of f − d was shown to be equivalent to several seemingly simpler statements, and was disproved for unbounded polyhedra through the construction of a particular 4-dimensional polyhedron U4 with 8 facets. The Hirsch bound for bounded polyhedra was only recently disproved by Santos [San12]. We consider analogous properties for a variant of the combinatorial diameter called the circuit diameter. In this variant, the walks are built from the circuit directions of the poly- hedron, which are the minimal non-trivial solutions to the system defining the polyhedron. We are able to prove that circuit variants of the so-called non-revisiting conjecture and d-step conjecture both imply the circuit analogue of the Hirsch conjecture. For the equiva- lences in [KW67], the wedge construction was a fundamental proof technique. We exhibit why it is not available in the circuit setting, and what are the implications of losing it as a tool. Further, we show the circuit analogue of the non-revisiting conjecture implies a linear bound on the circuit diameter of all unbounded polyhedra – in contrast to what is known for the combinatorial diameter. Finally, we give two proofs of a circuit version of the 4-step conjecture. -
Diameter of Simplicial Complexes, a Computational Approach
University of Cantabria Master’s thesis. Masters degree in Mathematics and Computing Diameter of simplicial complexes, a computational approach Author: Advisor: Francisco Criado Gallart Francisco Santos Leal 2015-2016 This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. Desvarío laborioso y empobrecedor el de componer vastos libros; el de explayar en quinientas páginas una idea cuya perfecta exposición oral cabe en pocos minutos. Mejor procedimiento es simular que esos libros ya existen y ofrecer un resumen, un comentario. Borges, Ficciones Acknowledgements First, I would like to thank my advisor, professor Francisco Santos. He has been supportive years before I arrived in Santander, and even more when I arrived. Also, I want to thank professor Michael Joswig and his team in the discrete ge- ometry group of the Technical University of Berlin, for all the help and advice that they provided during my (short) visit to their department. Finally, I want to thank my friends at Cantabria, and my “disciples”: Álvaro, Ana, Beatriz, Cristina, David, Esther, Jesús, Jon, Manu, Néstor, Sara and Susana. i Diameter of simplicial complexes, a computational approach Abstract The computational complexity of the simplex method, widely used for linear program- ming, depends on the combinatorial diameter of the edge graph of a polyhedron with n facets and dimension d. Despite its popularity, little is known about the (combinatorial) diameter of polytopes, and even for simpler types of complexes. For the case of polytopes, it was conjectured by Hirsch (1957) that the diameter is smaller than (n − d), but this was disproved by Francisco Santos (2010). -
CS599: Algorithm Design in Strategic Settings Fall 2012 Lecture 2: Game Theory Preliminaries
CS599: Algorithm Design in Strategic Settings Fall 2012 Lecture 2: Game Theory Preliminaries Instructor: Shaddin Dughmi Administrivia Website: http://www-bcf.usc.edu/~shaddin/cs599fa12 Or go to www.cs.usc.edu/people/shaddin and follow link Emails? Registration Outline 1 Games of Complete Information 2 Games of Incomplete Information Prior-free Games Bayesian Games Outline 1 Games of Complete Information 2 Games of Incomplete Information Prior-free Games Bayesian Games Example: Rock, Paper, Scissors Figure: Rock, Paper, Scissors Games of Complete Information 2/23 Rock, Paper, Scissors is an example of the most basic type of game. Simultaneous move, complete information games Players act simultaneously Each player incurs a utility, determined only by the players’ (joint) actions. Equivalently, player actions determine “state of the world” or “outcome of the game”. The payoff structure of the game, i.e. the map from action vectors to utility vectors, is common knowledge Games of Complete Information 3/23 Typically thought of as an n-dimensional matrix, indexed by a 2 A, with entry (u1(a); : : : ; un(a)). Also useful for representing more general games, like sequential and incomplete information games, but is less natural there. Figure: Generic Normal Form Matrix Standard mathematical representation of such games: Normal Form A game in normal form is a tuple (N; A; u), where N is a finite set of players. Denote n = jNj and N = f1; : : : ; ng. A = A1 × :::An, where Ai is the set of actions of player i. Each ~a = (a1; : : : ; an) 2 A is called an action profile. u = (u1; : : : un), where ui : A ! R is the utility function of player i. -
Report on 8Th EUROPT Workshop on Advances in Continuous
8th EUROPT Workshop on Advances in Continuous Optimization Aveiro, Portugal, July 9-10, 2010 Final Report The 8th EUROPT Workshop on Advances in Continuous Optimization was hosted by the Univer- sity of Aveiro, Portugal. Workshop started with a Welcome Reception of the participants on July 8, fol- lowed by two working days, July 9 and July 10. This Workshop continued the line of the past EUROPT workshops. The first one was held in 2000 in Budapest, followed by the workshops in Rotterdam in 2001, Istanbul in 2003, Rhodes in 2004, Reykjavik in 2006, Prague in 2007, and Remagen in 2009. All these international workshops were organized by the EURO Working Group on Continuous Optimization (EUROPT; http://www.iam.metu.edu.tr/EUROPT) as a satellite meeting of the EURO Conferences. This time, the 8th EUROPT Workshop, was a satellite meeting before the EURO XXIV Conference in Lisbon, (http://www.euro2010lisbon.org/). During the 8th EUROPT Workshop, the organizational duties were distributed between a Scientific Committee, an Organizing Committee, and a Local Committee. • The Scientific Committee was composed by Marco Lopez (Chair), Universidad de Alicante; Domin- gos Cardoso, Universidade de Aveiro; Emilio Carrizosa, Universidad de Sevilla; Joaquim Judice, Uni- versidade de Coimbra; Diethard Klatte, Universitat Zurich; Olga Kostyukova, Belarusian Academy of Sciences; Marco Locatelli, Universita’ di Torino; Florian Potra, University of Maryland Baltimore County; Franz Rendl, Universitat Klagenfurt; Claudia Sagastizabal, CEPEL (Research Center for Electric Energy); Oliver Stein, Karlsruhe Institute of Technology; Georg Still, University of Twente. • The Organizing Committee was composed by Domingos Cardoso (Chair), Universidade de Aveiro; Tatiana Tchemisova (co-Chair), Universidade de Aveiro; Miguel Anjos, University of Waterloo; Edite Fernandes, Universidade do Minho; Vicente Novo, UNED (Spain); Juan Parra, Universidad Miguel Hernandez´ de Elche; Gerhard-Wilhelm Weber, Middle East Technical University. -
Chapter 16 Oligopoly and Game Theory Oligopoly Oligopoly
Chapter 16 “Game theory is the study of how people Oligopoly behave in strategic situations. By ‘strategic’ we mean a situation in which each person, when deciding what actions to take, must and consider how others might respond to that action.” Game Theory Oligopoly Oligopoly • “Oligopoly is a market structure in which only a few • “Figuring out the environment” when there are sellers offer similar or identical products.” rival firms in your market, means guessing (or • As we saw last time, oligopoly differs from the two ‘ideal’ inferring) what the rivals are doing and then cases, perfect competition and monopoly. choosing a “best response” • In the ‘ideal’ cases, the firm just has to figure out the environment (prices for the perfectly competitive firm, • This means that firms in oligopoly markets are demand curve for the monopolist) and select output to playing a ‘game’ against each other. maximize profits • To understand how they might act, we need to • An oligopolist, on the other hand, also has to figure out the understand how players play games. environment before computing the best output. • This is the role of Game Theory. Some Concepts We Will Use Strategies • Strategies • Strategies are the choices that a player is allowed • Payoffs to make. • Sequential Games •Examples: • Simultaneous Games – In game trees (sequential games), the players choose paths or branches from roots or nodes. • Best Responses – In matrix games players choose rows or columns • Equilibrium – In market games, players choose prices, or quantities, • Dominated strategies or R and D levels. • Dominant Strategies. – In Blackjack, players choose whether to stay or draw. -
Arxiv:Math/0403494V1
ONE-POINT SUSPENSIONS AND WREATH PRODUCTS OF POLYTOPES AND SPHERES MICHAEL JOSWIG AND FRANK H. LUTZ Abstract. It is known that the suspension of a simplicial complex can be realized with only one additional point. Suitable iterations of this construction generate highly symmetric simplicial complexes with various interesting combinatorial and topological properties. In particular, infinitely many non-PL spheres as well as contractible simplicial complexes with a vertex-transitive group of automorphisms can be obtained in this way. 1. Introduction McMullen [34] constructed projectively unique convex polytopes as the joint convex hulls of polytopes in mutually skew affine subspaces which are attached to the vertices of yet another polytope. It is immediate that if the polytopes attached are pairwise isomorphic one can obtain polytopes with a large group of automorphisms. In fact, if the polytopes attached are simplices, then the resulting polytope can be obtained by successive wedging (or rather its dual operation). This dual wedge, first introduced and exploited by Adler and Dantzig [1] in 1974 for the study of the Hirsch conjecture of linear programming, is essentially the same as the one-point suspension in combinatorial topology. It is striking that this simple construction makes several appearances in the literature, while it seems that never before it had been the focus of research for its own sake. The purpose of this paper is to collect what is known (for the polytopal as well as the combinatorial constructions) and to fill in several gaps, most notably by introducing wreath products of simplicial complexes. In particular, we give a detailed analysis of wreath products in order to provide explicit descriptions of highly symmetric polytopes which previously had been implicit in McMullen’s construction. -
Program of the Sessions San Diego, California, January 9–12, 2013
Program of the Sessions San Diego, California, January 9–12, 2013 AMS Short Course on Random Matrices, Part Monday, January 7 I MAA Short Course on Conceptual Climate Models, Part I 9:00 AM –3:45PM Room 4, Upper Level, San Diego Convention Center 8:30 AM –5:30PM Room 5B, Upper Level, San Diego Convention Center Organizer: Van Vu,YaleUniversity Organizers: Esther Widiasih,University of Arizona 8:00AM Registration outside Room 5A, SDCC Mary Lou Zeeman,Bowdoin upper level. College 9:00AM Random Matrices: The Universality James Walsh, Oberlin (5) phenomenon for Wigner ensemble. College Preliminary report. 7:30AM Registration outside Room 5A, SDCC Terence Tao, University of California Los upper level. Angles 8:30AM Zero-dimensional energy balance models. 10:45AM Universality of random matrices and (1) Hans Kaper, Georgetown University (6) Dyson Brownian Motion. Preliminary 10:30AM Hands-on Session: Dynamics of energy report. (2) balance models, I. Laszlo Erdos, LMU, Munich Anna Barry*, Institute for Math and Its Applications, and Samantha 2:30PM Free probability and Random matrices. Oestreicher*, University of Minnesota (7) Preliminary report. Alice Guionnet, Massachusetts Institute 2:00PM One-dimensional energy balance models. of Technology (3) Hans Kaper, Georgetown University 4:00PM Hands-on Session: Dynamics of energy NSF-EHR Grant Proposal Writing Workshop (4) balance models, II. Anna Barry*, Institute for Math and Its Applications, and Samantha 3:00 PM –6:00PM Marina Ballroom Oestreicher*, University of Minnesota F, 3rd Floor, Marriott The time limit for each AMS contributed paper in the sessions meeting will be found in Volume 34, Issue 1 of Abstracts is ten minutes. -
ADDENDUM the Following Remarks Were Added in Proof (November 1966). Page 67. an Easy Modification of Exercise 4.8.25 Establishes
ADDENDUM The following remarks were added in proof (November 1966). Page 67. An easy modification of exercise 4.8.25 establishes the follow ing result of Wagner [I]: Every simplicial k-"complex" with at most 2 k ~ vertices has a representation in R + 1 such that all the "simplices" are geometric (rectilinear) simplices. Page 93. J. H. Conway (private communication) has established the validity of the conjecture mentioned in the second footnote. Page 126. For d = 2, the theorem of Derry [2] given in exercise 7.3.4 was found earlier by Bilinski [I]. Page 183. M. A. Perles (private communication) recently obtained an affirmative solution to Klee's problem mentioned at the end of section 10.1. Page 204. Regarding the question whether a(~) = 3 implies b(~) ~ 4, it should be noted that if one starts from a topological cell complex ~ with a(~) = 3 it is possible that ~ is not a complex (in our sense) at all (see exercise 11.1.7). On the other hand, G. Wegner pointed out (in a private communication to the author) that the 2-complex ~ discussed in the proof of theorem 11.1 .7 indeed satisfies b(~) = 4. Page 216. Halin's [1] result (theorem 11.3.3) has recently been genera lized by H. A. lung to all complete d-partite graphs. (Halin's result deals with the graph of the d-octahedron, i.e. the d-partite graph in which each class of nodes contains precisely two nodes.) The existence of the numbers n(k) follows from a recent result of Mader [1] ; Mader's result shows that n(k) ~ k.2(~) . -
Guiding Mathematical Discovery How We Started a Math Circle
Guiding Mathematical Discovery How We Started a Math Circle Jackie Chan, Tenzin Kunsang, Elisa Loy, Fares Soufan, Taylor Yeracaris Advised by Professor Deanna Haunsperger Illustrations by Elisa Loy Carleton College, Mathematics and Statistics Department 2 Table of Contents About the Authors 4 Acknowledgments 6 Preface 7 Designing Circles 9 Leading Circles 11 Logistics & Classroom Management 14 The Circles 18 Shapes and Patterns 20 Penny Shapes 21 Polydrons 23 Knots and What-Not 25 Fractals 28 Tilings and Tessellations 31 Graphs and Trees 35 The Four Islands Problem (Königsberg Bridge Problem) 36 Human Graphs 39 Map Coloring 42 Trees: Dots and Lines 45 Boards and Spatial Reasoning 49 Filing Grids 50 Gerrymandering Marcellusville 53 Pieces on a Chessboard 58 Games and Strategy 63 Game Strategies (Rock/Paper/Scissors) 64 Game Strategies for Nim 67 Tic-Tac-Torus 70 SET 74 KenKen Puzzles 77 3 Logic and Probability 81 The Monty Hall Problem 82 Knights and Knaves 85 Sorting Algorithms 87 Counting and Combinations 90 The Handshake/High Five Problem 91 Anagrams 96 Ciphers 98 Counting Trains 99 But How Many Are There? 103 Numbers and Factors 105 Piles of Triangular Numbers 106 Cup Flips 108 Counting with Cups — The Josephus Problem 111 Water Cups 114 Guess What? 116 Additional Circle Ideas 118 Further Reading 120 Keyword Index 121 4 About the Authors Jackie Chan Jackie is a senior computer science and mathematics major at Carleton College who has had an interest in teaching mathematics since an early age. Jackie’s interest in mathematics education stems from his enjoyment of revealing the intuition behind mathematical concepts. -
Ten Problems in Geometry
Ten Problems in Geometry Moritz W. Schmitt G¨unter M. Ziegler∗ Institut f¨urMathematik Institut f¨urMathematik Freie Universit¨atBerlin Freie Universit¨atBerlin Arnimallee 2 Arnimallee 2 14195 Berlin, Germany 14195 Berlin, Germany [email protected] [email protected] May 1, 2011 Abstract We describe ten problems that wait to be solved. Introduction Geometry is a field of knowledge, but it is at the same time an active field of research | our understanding of space, about shapes, about geometric structures develops in a lively dialog, where problems arise, new questions are asked every day. Some of the problems are settled nearly immediately, some of them need years of careful study by many authors, still others remain as challenges for decades. Contents 1 Unfolding polytopes 2 2 Almost disjoint triangles 4 3 Representing polytopes with small coordinates 6 4 Polyhedra that tile space 8 5 Fatness 10 6 The Hirsch conjecture 12 7 Unimodality for cyclic polytopes 14 8 Decompositions of the cube 16 9 A problem concerning the ball and the cube 19 10 The 3d conjecture 21 ∗Partially supported by DFG, Research Training Group \Methods for Discrete Structures" 1 1 Unfolding polytopes In 1525 Albrecht D¨urer'sfamous geometry masterpiece \Underweysung der Messung mit dem Zirckel und Richtscheyt"1 was published in Nuremberg. Its fourth part contains many drawings of nets of 3-dimensional polytopes. Implicitly it contains the following conjecture: Every 3-dimensional convex polytope can be cut open along a spanning tree of its graph and then unfolded into the plane without creating overlaps. -
Interview with Gil Kalai Toufik Mansour
numerative ombinatorics A pplications Enumerative Combinatorics and Applications ECA 2:2 (2022) Interview #S3I7 ecajournal.haifa.ac.il Interview with Gil Kalai Toufik Mansour Gil Kalai received his Ph.D. at the Einstein Institute of the Hebrew University in 1983, under the supervi- sion of Micha A. Perles. After a postdoctoral position at the Massachusetts Institute of Technology (MIT), he joined the Hebrew University in 1985, (Professor Emeritus since 2018) and he holds the Henry and Manya Noskwith Chair. Since 2018, Kalai is a Pro- fessor of Computer Science at the Efi Arazi School of Computer Science in IDC, Herzliya. Since 2004, he has Photo by Muli Safra also been an Adjunct Professor at the Departments of Mathematics and Computer Science, Yale University. He has held visiting positions at MIT, Cornell, the Institute of Advanced Studies in Prince- ton, the Royal Institute of Technology in Stockholm, and in the research centers of IBM and Microsoft. Professor Gil Kalai has made significant contributions to the fields of discrete math- ematics and theoretical computer science. Two breakthrough contributions include his work in understanding randomized simplex algorithms and disproving Borsuk's famous conjecture of 1933. In recognition of his contributions, professor Kalai has received several awards in- cluding the P´olya Prize in 1992, the Erd}osPrize of the Israel Mathematical Society in 1993, the Fulkerson Prize in 1994, and the Rothschild Prize in mathematics in 2012. He has given lectures and talks at many conferences, including a plenary talk at the International Congress of Mathematicians in 2018. From 1995 to 2001, he was the Editor-in-Chief of the Israel Journal of Mathematics. -
Problem Set #8 Solutions: Introduction to Game Theory
Finance 30210 Solutions to Problem Set #8: Introduction to Game Theory 1) Consider the following version of the prisoners dilemma game (Player one’s payoffs are in bold): Player Two Cooperate Cheat Player One Cooperate $10 $10 $0 $12 Cheat $12 $0 $5 $5 a) What is each player’s dominant strategy? Explain the Nash equilibrium of the game. Start with player one: If player two chooses cooperate, player one should choose cheat ($12 versus $10) If player two chooses cheat, player one should also cheat ($0 versus $5). Therefore, the optimal strategy is to always cheat (for both players) this means that (cheat, cheat) is the only Nash equilibrium. b) Suppose that this game were played three times in a row. Is it possible for the cooperative equilibrium to occur? Explain. If this game is played multiple times, then we start at the end (the third playing of the game). At the last stage, this is like a one shot game (there is no future). Therefore, on the last day, the dominant strategy is for both players to cheat. However, if both parties know that the other will cheat on day three, then there is no reason to cooperate on day 2. However, if both cheat on day two, then there is no incentive to cooperate on day one. 2) Consider the familiar “Rock, Paper, Scissors” game. Two players indicate either “Rock”, “Paper”, or “Scissors” simultaneously. The winner is determined by Rock crushes scissors Paper covers rock Scissors cut paper Indicate a -1 if you lose and +1 if you win.