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The Hypersimplex Canonical Forms and the Momentum Amplituhedron-Like Logarithmic Forms
The hypersimplex canonical forms and the momentum amplituhedron-like logarithmic forms TomaszLukowski, 1 and Jonah Stalknecht1 1Department of Physics, Astronomy and Mathematics, University of Hertfordshire, Hatfield, Hertfordshire, AL10 9AB, United Kingdom E-mail: [email protected], [email protected] Abstract: In this paper we provide a formula for the canonical differential form of the hypersimplex ∆k;n for all n and k. We also study the generalization of the momentum ampli- tuhedron Mn;k to m = 2, and we conclude that the existing definition does not possess the desired properties. Nevertheless, we find interesting momentum amplituhedron-like logarith- mic differential forms in the m = 2 version of the spinor helicity space, that have the same singularity structure as the hypersimplex canonical forms. arXiv:2107.07520v1 [hep-th] 15 Jul 2021 Contents 1 Introduction 1 2 Hypersimplex2 2.1 Definitions3 2.2 Hypersimplex canonical forms4 3 Momentum amplituhedron9 3.1 Definition of m = 2 momentum amplituhedron 10 3.2 Momentum amplituhedron-like logarithmic forms 11 3.3 Geometry 12 4 Summary and outlook 15 A Definition of positive geometry and push-forward 15 1 Introduction Geometry has always played an essential role in physics, and it continues to be crucial in many recently developed branches of theoretical and high-energy physics. In recent years, this statement has been supported by the introduction of positive geometries [1] that encode a variety of observables in Quantum Field Theories [2{5], and beyond [6{8], see [9] for a com- prehensive review. These recent advances have also renewed the interest in well-established and very well-studied geometric objects, allowing us to look at them in a completely new way. -
Request for Contract Update
DocuSign Envelope ID: 0E48A6C9-4184-4355-B75C-D9F791DFB905 Request for Contract Update Pursuant to the terms of contract number________________R142201 for _________________________ Office Furniture and Installation Contractor must notify and receive approval from Region 4 ESC when there is an update in the contract. No request will be officially approved without the prior authorization of Region 4 ESC. Region 4 ESC reserves the right to accept or reject any request. Allsteel Inc. hereby provides notice of the following update on (Contractor) this date April 17, 2019 . Instructions: Contractor must check all that may apply and shall provide supporting documentation. Requests received without supporting documentation will be returned. This form is not intended for use if there is a material change in operations, such as assignment, bankruptcy, change of ownership, merger, etc. Material changes must be submitted on a “Notice of Material Change to Vendor Contract” form. Authorized Distributors/Dealers Price Update Addition Supporting Documentation Deletion Supporting Documentation Discontinued Products/Services X Products/Services Supporting Documentation X New Addition Update Only X Supporting Documentation Other States/Territories Supporting Documentation Supporting Documentation Notes: Contractor may include other notes regarding the contract update here: (attach another page if necessary). Attached is Allsteel's request to add the following new product lines: Park, Recharge, and Townhall Collection along with the respective price -
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. -
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. -
The Geometry of Nim Arxiv:1109.6712V1 [Math.CO] 30
The Geometry of Nim Kevin Gibbons Abstract We relate the Sierpinski triangle and the game of Nim. We begin by defining both a new high-dimensional analog of the Sierpinski triangle and a natural geometric interpretation of the losing positions in Nim, and then, in a new result, show that these are equivalent in each finite dimension. 0 Introduction The Sierpinski triangle (fig. 1) is one of the most recognizable figures in mathematics, and with good reason. It appears in everything from Pascal's Triangle to Conway's Game of Life. In fact, it has already been seen to be connected with the game of Nim, albeit in a very different manner than the one presented here [3]. A number of analogs have been discovered, such as the Menger sponge (fig. 2) and a three-dimensional version called a tetrix. We present, in the first section, a generalization in higher dimensions differing from the more typical simplex generalization. Rather, we define a discrete Sierpinski demihypercube, which in three dimensions coincides with the simplex generalization. In the second section, we briefly review Nim and the theory behind optimal play. As in all impartial games (games in which the possible moves depend only on the state of the game, and not on which of the two players is moving), all possible positions can be divided into two classes - those in which the next player to move can force a win, called N-positions, and those in which regardless of what the next player does the other player can force a win, called P -positions. -
Notes Has Not Been Formally Reviewed by the Lecturer
6.896 Topics in Algorithmic Game Theory February 22, 2010 Lecture 6 Lecturer: Constantinos Daskalakis Scribe: Jason Biddle, Debmalya Panigrahi NOTE: The content of these notes has not been formally reviewed by the lecturer. It is recommended that they are read critically. In our last lecture, we proved Nash's Theorem using Broweur's Fixed Point Theorem. We also showed Brouwer's Theorem via Sperner's Lemma in 2-d using a limiting argument to go from the discrete combinatorial problem to the topological one. In this lecture, we present a multidimensional generalization of the proof from last time. Our proof differs from those typically found in the literature. In particular, we will insist that each step of the proof be constructive. Using constructive arguments, we shall be able to pin down the complexity-theoretic nature of the proof and make the steps algorithmic in subsequent lectures. In the first part of our lecture, we present a framework for the multidimensional generalization of Sperner's Lemma. A Canonical Triangulation of the Hypercube • A Legal Coloring Rule • In the second part, we formally state Sperner's Lemma in n dimensions and prove it using the following constructive steps: Colored Envelope Construction • Definition of the Walk • Identification of the Starting Simplex • Direction of the Walk • 1 Framework Recall that in the 2-dimensional case we had a square which was divided into triangles. We had also defined a legal coloring scheme for the triangle vertices lying on the boundary of the square. Now let us extend those concepts to higher dimensions. 1.1 Canonical Triangulation of the Hypercube We begin by introducing the n-simplex as the n-dimensional analog of the triangle in 2 dimensions as shown in Figure 1. -
1 Lifts of Polytopes
Lecture 5: Lifts of polytopes and non-negative rank CSE 599S: Entropy optimality, Winter 2016 Instructor: James R. Lee Last updated: January 24, 2016 1 Lifts of polytopes 1.1 Polytopes and inequalities Recall that the convex hull of a subset X n is defined by ⊆ conv X λx + 1 λ x0 : x; x0 X; λ 0; 1 : ( ) f ( − ) 2 2 [ ]g A d-dimensional convex polytope P d is the convex hull of a finite set of points in d: ⊆ P conv x1;:::; xk (f g) d for some x1;:::; xk . 2 Every polytope has a dual representation: It is a closed and bounded set defined by a family of linear inequalities P x d : Ax 6 b f 2 g for some matrix A m d. 2 × Let us define a measure of complexity for P: Define γ P to be the smallest number m such that for some C s d ; y s ; A m d ; b m, we have ( ) 2 × 2 2 × 2 P x d : Cx y and Ax 6 b : f 2 g In other words, this is the minimum number of inequalities needed to describe P. If P is full- dimensional, then this is precisely the number of facets of P (a facet is a maximal proper face of P). Thinking of γ P as a measure of complexity makes sense from the point of view of optimization: Interior point( methods) can efficiently optimize linear functions over P (to arbitrary accuracy) in time that is polynomial in γ P . ( ) 1.2 Lifts of polytopes Many simple polytopes require a large number of inequalities to describe. -
Geometry © 2000 Springer-Verlag New York Inc
Discrete Comput Geom OF1–OF15 (2000) Discrete & Computational DOI: 10.1007/s004540010046 Geometry © 2000 Springer-Verlag New York Inc. Convex and Linear Orientations of Polytopal Graphs J. Mihalisin and V. Klee Department of Mathematics, University of Washington, Box 354350, Seattle, WA 98195-4350, USA {mihalisi,klee}@math.washington.edu Abstract. This paper examines directed graphs related to convex polytopes. For each fixed d-polytope and any acyclic orientation of its graph, we prove there exist both convex and concave functions that induce the given orientation. For each combinatorial class of 3-polytopes, we provide a good characterization of the orientations that are induced by an affine function acting on some member of the class. Introduction A graph is d-polytopal if it is isomorphic to the graph G(P) formed by the vertices and edges of some (convex) d-polytope P. As the term is used here, a digraph is d-polytopal if it is isomorphic to a digraph that results when the graph G(P) of some d-polytope P is oriented by means of some affine function on P. 3-Polytopes and their graphs have been objects of research since the time of Euler. The most important result concerning 3-polytopal graphs is the theorem of Steinitz [SR], [Gr1], asserting that a graph is 3-polytopal if and only if it is planar and 3-connected. Also important is the related fact that the combinatorial type (i.e., the entire face-lattice) of a 3-polytope P is determined by the graph G(P). Steinitz’s theorem has been very useful in studying the combinatorial structure of 3-polytopes because it makes it easy to recognize the 3-polytopality of a graph and to construct graphs that represent 3-polytopes without producing an explicit geometric realization. -
Interval Vector Polytopes
Interval Vector Polytopes By Gabriel Dorfsman-Hopkins SENIOR HONORS THESIS ROSA C. ORELLANA, ADVISOR DEPARTMENT OF MATHEMATICS DARTMOUTH COLLEGE JUNE, 2013 Contents Abstract iv 1 Introduction 1 2 Preliminaries 4 2.1 Convex Polytopes . 4 2.2 Lattice Polytopes . 8 2.2.1 Ehrhart Theory . 10 2.3 Faces, Face Lattices and the Dual . 12 2.3.1 Faces of a Polytope . 12 2.3.2 The Face Lattice of a Polytope . 15 2.3.3 Duality . 18 2.4 Basic Graph Theory . 22 3IntervalVectorPolytopes 23 3.1 The Complete Interval Vector Polytope . 25 3.2 TheFixedIntervalVectorPolytope . 30 3.2.1 FlowDimensionGraphs . 31 4TheIntervalPyramid 38 ii 4.1 f-vector of the Interval Pyramid . 40 4.2 Volume of the Interval Pyramid . 45 4.3 Duality of the Interval Pyramid . 50 5 Open Questions 57 5.1 Generalized Interval Pyramid . 58 Bibliography 60 iii Abstract An interval vector is a 0, 1 -vector where all the ones appear consecutively. An { } interval vector polytope is the convex hull of a set of interval vectors in Rn.Westudy several classes of interval vector polytopes which exhibit interesting combinatorial- geometric properties. In particular, we study a class whose volumes are equal to the catalan numbers, another class whose legs always form a lattice basis for their affine space, and a third whose face numbers are given by the pascal 3-triangle. iv Chapter 1 Introduction An interval vector is a 0, 1 -vector in Rn such that the ones (if any) occur consecu- { } tively. These vectors can nicely and discretely model scheduling problems where they represent the length of an uninterrupted activity, and so understanding the combi- natorics of these vectors is useful in optimizing scheduling problems of continuous activities of certain lengths. -
Archimedean Solids
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln MAT Exam Expository Papers Math in the Middle Institute Partnership 7-2008 Archimedean Solids Anna Anderson University of Nebraska-Lincoln Follow this and additional works at: https://digitalcommons.unl.edu/mathmidexppap Part of the Science and Mathematics Education Commons Anderson, Anna, "Archimedean Solids" (2008). MAT Exam Expository Papers. 4. https://digitalcommons.unl.edu/mathmidexppap/4 This Article is brought to you for free and open access by the Math in the Middle Institute Partnership at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in MAT Exam Expository Papers by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. Archimedean Solids Anna Anderson In partial fulfillment of the requirements for the Master of Arts in Teaching with a Specialization in the Teaching of Middle Level Mathematics in the Department of Mathematics. Jim Lewis, Advisor July 2008 2 Archimedean Solids A polygon is a simple, closed, planar figure with sides formed by joining line segments, where each line segment intersects exactly two others. If all of the sides have the same length and all of the angles are congruent, the polygon is called regular. The sum of the angles of a regular polygon with n sides, where n is 3 or more, is 180° x (n – 2) degrees. If a regular polygon were connected with other regular polygons in three dimensional space, a polyhedron could be created. In geometry, a polyhedron is a three- dimensional solid which consists of a collection of polygons joined at their edges. The word polyhedron is derived from the Greek word poly (many) and the Indo-European term hedron (seat). -
Steinitz's Theorem Project Report §1 Introduction §2 Basic Definitions
Steinitz's Theorem Project Report Jon Hillery May 17, 2019 §1 Introduction Looking at the vertices and edges of polyhedra gives a family of graphs that we might expect has nice properties. It turns out that there is actually a very nice characterization of these graphs! We can use this characterization to find useful representations of certain graphs. §2 Basic Definitions We define a space to be convex if the line segment connecting any two points in the space remains entirely inside the space. This works for two-dimensional sets: and three-dimensional sets: Given a polyhedron, we define its 1-skeleton to be the graph formed from the vertices and edges of the polyhedron. For example, the 1-skeleton of a tetrahedron is K4: 1 Jon Hillery (May 17, 2019) Steinitz's Theorem Project Report Here are some further examples of the 1-skeleton of an icosahedron and a dodecahedron: §3 Properties of 1-Skeletons What properties do we know the 1-skeleton of a convex polyhedron must have? First, it must be planar. To see this, imagine moving your eye towards one of the faces until you are close enough that all of the other faces appear \inside" the face you are looking through, as shown here: This is always possible because the polyedron is convex, meaning intuitively it doesn't have any parts that \jut out". The graph formed from viewing in this way will have no intersections because the polyhedron is convex, so the straight-line rays our eyes see are not allowed to leave via an edge on the boundary of the polyhedron and then go back inside. -
Mixed Volumes of Hypersimplices, Root Systems and Shifted Young Tableaux Dorian Croitoru
Mixed Volumes of Hypersimplices, Root Systems and Shifted Young Tableaux by Dorian Croitoru M.A., University of Pittsburgh, 2005 Submitted to the Department of Mathematics in partial fulfillment of the requirements for the degree of Doctor of Philosophy at the MASSACHUSETTS INSTITUTE OF TECHNOLOGY September 2010 © Dorian Croitoru, 2010. All rights reserved. The author hereby grants to MIT permission to reproduce and to distribute publicly paper and electronic copies of this thesis document in whole or in part in any medium now known or hereafter created. Author......................................... Department of Mathematics July 21, 2010 Certifiedby...................................... Alexander Postnikov Associate Professor of Applied Mathematics Thesis Supervisor Accepted by . Bjorn Poonen Chairman, Department Committee on Graduate Students Mixed Volumes of Hypersimplices, Root Systems and Shifted Young Tableaux by Dorian Croitoru Submitted to the Department of Mathematics on July 21, 2010 in partial fulfillment of the requirements for the degree of Doctor of Philosophy Abstract This thesis consists of two parts. In the first part, we start by investigating the classical permutohedra as Minkowski sums of the hypersimplices. Their volumes can be expressed as polynomials whose coefficients { the mixed Eulerian numbers { are given by the mixed volumes of the hypersimplices. We build upon results of Postnikov and derive various recursive and combinatorial formulas for the mixed Eulerian numbers. We generalize these results to arbitrary root systems Φ, and obtain cyclic, recursive and combinatorial formulas for the volumes of the weight polytopes (Φ-analogues of permutohedra) as well as the mixed Φ-Eulerian numbers. These formulas involve Cartan matrices and weighted paths in Dynkin diagrams, and thus enable us to extend the theory of mixed Eulerian numbers to arbitrary matrices whose principal minors are invertible.