Representation Operators of Metric and Euclidian Charges Philippe Bouafia
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Grothendieck-Type Inequalities in Combinatorial Optimization
GROTHENDIECK-TYPE INEQUALITIES IN COMBINATORIAL OPTIMIZATION SUBHASH KHOT AND ASSAF NAOR Abstract. We survey connections of the Grothendieck inequality and its variants to com- binatorial optimization and computational complexity. Contents 1. Introduction 2 1.1. Assumptions from computational complexity 3 1.2. Convex and semidefinite programming 4 2. Applications of the classical Grothendieck inequality 5 2.1. Cut norm estimation 5 2.1.1. Szemer´edipartitions 8 2.1.2. Frieze-Kannan matrix decomposition 10 2.1.3. Maximum acyclic subgraph 11 2.1.4. Linear equations modulo 2 14 2.2. Rounding 16 3. The Grothendieck constant of a graph 18 3.1. Algorithmic consequences 20 3.1.1. Spin glasses 20 3.1.2. Correlation clustering 20 arXiv:1108.2464v1 [cs.DS] 11 Aug 2011 4. Kernel clustering and the propeller conjecture 21 5. The Lp Grothendieck problem 25 6. Higher rank Grothendieck inequalities 28 7. Hardness of approximation 29 References 31 S. K. was partially supported by NSF CAREER grant CCF-0833228, NSF Expeditions grant CCF- 0832795, an NSF Waterman award, and BSF grant 2008059. A. N. was partially supported by NSF Expe- ditions grant CCF-0832795, BSF grant 2006009, and the Packard Foundation. 1 1. Introduction The Grothendieck inequality asserts that there exists a universal constant K 2 (0; 1) such that for every m; n 2 N and every m × n matrix A = (aij) with real entries we have ( m n ) X X m n n+m−1 max aijhxi; yji : fxigi=1; fyjgj=1 ⊆ S i=1 j=1 ( m n ) X X m n 6 K max aij"iδj : f"igi=1; fδjgj=1 ⊆ {−1; 1g : (1) i=1 j=1 k Pk Here, and in what follows, the standard scalar product on R is denoted hx; yi = i=1 xiyi k k−1 k Pk 2 and the Euclidean sphere in R is denoted S = fx 2 R : i=1 xi = 1g. -
Grothendieck's Theorem, Past and Present
Grothendieck’s Theorem, past and present by Gilles Pisier∗ Texas A&M University College Station, TX 77843, U. S. A. and Universit´eParis VI Equipe d’Analyse, Case 186, 75252 Paris Cedex 05, France January 26, 2011 Abstract Probably the most famous of Grothendieck’s contributions to Banach space theory is the result that he himself described as “the fundamental theorem in the metric theory of tensor products”. That is now commonly referred to as “Grothendieck’s theorem” (GT in short), or sometimes as “Grothendieck’s inequality”. This had a major impact first in Banach space theory (roughly after 1968), then, later on, in C∗-algebra theory, (roughly after 1978). More recently, in this millennium, a new version of GT has been successfully developed in the framework of “operator spaces” or non-commutative Banach spaces. In addition, GT independently surfaced in several quite unrelated fields: in connection with Bell’s inequality in quantum mechanics, in graph theory where the Grothendieck constant of a graph has been introduced and in computer science where the Grothendieck inequality is invoked to replace certain NP hard problems by others that can be treated by “semidefinite programming’ and hence solved in polynomial time. In this expository paper, we present a review of all these topics, starting from the original GT. We concentrate on the more recent developments and merely outline those of the first Banach space period since detailed accounts of that are already available, for instance the author’s 1986 CBMS notes. ∗Partially supported by NSF grant 0503688 Contents 1 Introduction 1 2 Classical GT 7 3 The Grothendieck constants 15 4 The Hahn-Banach argument 17 5 The “little” GT 20 6 Banach spaces satisfying GT and operator ideals 22 7 Non-commutative GT 23 8 Non-commutative “little GT” 25 9 Non-commutative Khintchine inequality 26 10 Maurey factorization 32 11 Best constants (Non-commutative case) 33 12 C∗-algebra tensor products, Nuclearity 35 13 Operator spaces, c.b. -
Metric Embeddings and Geometric Inequalities
Metric embeddings and geometric inequalities Lectures by Professor Assaf Naor Scribes: Holden Lee and Kiran Vodrahalli April 27, 2016 MAT529 Metric embeddings and geometric inequalities 2 Contents 1 The Ribe Program7 1 The Ribe Program................................7 2 Bourgain's Theorem implies Ribe's Theorem.................. 14 2.1 Bourgain's discretization theorem.................... 15 2.2 Bourgain's Theorem implies Ribe's Theorem.............. 17 2 Restricted invertibility principle 19 1 Restricted invertibility principle......................... 19 1.1 The first restricted invertibility principles................ 19 1.2 A general restricted invertibility principle................ 21 2 Ky Fan maximum principle........................... 23 3 Finding big subsets................................ 26 3.1 Little Grothendieck inequality...................... 26 3.1.1 Tightness of Grothendieck's inequality............ 29 3.2 Pietsch Domination Theorem...................... 30 3.3 A projection bound............................ 32 3.4 Sauer-Shelah Lemma........................... 33 4 Proof of RIP.................................... 34 4.1 Step 1................................... 34 4.2 Step 2................................... 36 3 Bourgain's Discretization Theorem 47 1 Outline....................................... 47 1.1 Reduction to smooth norm........................ 48 2 Bourgain's almost extension theorem...................... 49 2.1 Lipschitz extension problem....................... 50 2.2 John ellipsoid.............................. -
Grothendieck Proved a Theorem That He Called “Le Th´Eor`Eme Fondamental De La Th´Eoriemetrique Des Produits Tensoriels”
THE GROTHENDIECK CONSTANT IS STRICTLY SMALLER THAN KRIVINE'S BOUND MARK BRAVERMAN, KONSTANTIN MAKARYCHEV, YURY MAKARYCHEV, AND ASSAF NAOR Abstract. The (real) Grothendieck constant KG is the infimum over those K 2 (0; 1) such that for every m; n 2 N and every m × n real matrix (aij) we have m n m n X X X X max aijhxi; yji 6 K max aij"iδj: fx gm ;fy gn ⊆Sn+m−1 f" gm ;fδ gn ⊆{−1;1g i i=1 j j=1 i=1 j=1 i i=1 j j=1 i=1 j=1 The classical Grothendieck inequality asserts the non-obvious fact that the above inequal- ity does hold true for some K 2 (0; 1) that is independent of m; n and (aij). Since Grothendieck's 1953 discovery of this powerful theorem, it has found numerous applica- tions in a variety of areas, but despite attracting a lot of attention, the exact value of the Grothendieck constant KG remains a mystery. The last progress on this problem was in 1977, when Krivine proved that K π p and conjectured that his bound is opti- G 6 2 log(1+ 2) mal. Krivine's conjecture has been restated repeatedly since 1977, resulting in focusing the subsequent research on the search for examples of matrices (aij) which exhibit (asymptot- ically, as m; n ! 1) a lower bound on KG that matches Krivine's bound. Here we obtain an improved Grothendieck inequality that holds for all matrices (aij) and yields a bound K < π p − " for some effective constant " > 0. -
Grothendieck Inequalities for Semidefinite Programs with Rank Constraint
THEORY OF COMPUTING, Volume 10 (4), 2014, pp. 77–105 www.theoryofcomputing.org Grothendieck Inequalities for Semidefinite Programs with Rank Constraint Jop Briët∗ Fernando Mário de Oliveira Filho† Frank Vallentin‡ Received May 4, 2012; Revised January 21, 2014; Published May 31, 2014 Abstract: Grothendieck inequalities are fundamental inequalities which are frequently used in many areas of mathematics and computer science. They can be interpreted as upper bounds for the integrality gap between two optimization problems: a difficult semidefinite program with rank-1 constraint and its easy semidefinite relaxation where the rank constraint is dropped. For instance, the integrality gap of the Goemans-Williamson approximation algorithm for MAX CUT can be seen as a Grothendieck inequality. In this paper we consider Grothendieck inequalities for ranks greater than 1 and we give two applications: approximating ground states in the n-vector model in statistical mechanics and XOR games in quantum information theory. ACM Classification: G.1.6, G.2.2 AMS Classification: 68W25, 90C22 Key words and phrases: randomized rounding, Grothendieck inequality, n-vector model, XOR games 1 Introduction V Let G = (V;E) be a graph with finite vertex set V and edge set E ⊆ 2 . Let A: V ×V ! R be a symmetric matrix whose rows and columns are indexed by the vertex set of G, and r be a positive integer. The ∗Supported by Vici grant 639.023.302 from the Netherlands Organization for Scientific Research (NWO), by the European Commission under the Integrated Project Qubit Applications (QAP) funded by the IST directorate as Contract Number 015848, by the Dutch BSIK/BRICKS project and by the European grant QCS. -
Grothendieck's Inequalities for Real and Complex
Grothendieck’s inequalities for real and complex JBW*-triples Antonio M. Peralta∗ and Angel Rodr´ıguezPalacios† Abstract √ We prove that, if M > 4(1 + 2 3) and ε > 0, if V and W are complex JBW*-triples (with preduals V∗ and W∗, respectively), and if U is a separately weak*-continuous bilinear form on V ×W, then there exist norm-one functionals ϕ1, ϕ2 ∈ V∗ and ψ1, ψ2 ∈ W∗ satisfying 1 1 2 2 2 2 2 2 2 2 |U(x, y)| ≤ M kUk kxkϕ2 + ε kxkϕ1 kykψ2 + ε kykψ1 for all (x, y) ∈ V ×W. Here, for a norm-one functional ϕ on a complex JB*-triple V, k.kϕ stands for the prehilertian seminorm on V associ- ated to ϕ in [BF1]. We arrive in this “Grothendieck’s inequality” through results of C-H. Chu, B. Iochum, and G. Loupias [CIL], and a corrected version of the “Little Grothendieck’s inequality” for com- plex JB*-triples due to T. Barton and Y. Friedman [BF1]. We also obtain extensions of these results to the setting of real JB*-triples. 2000 Mathematics Subject Classification: 17C65, 46K70, 46L05, 46L10, and 46L70. Introduction In this paper we pay tribute to the important works of T. Barton and Y. Friedman [BF1] and C-H. Chu, B. Iochum, and G. Loupias [CIL] on the ∗Supported by Programa Nacional F.P.I. Ministry of Education and Science grant, D.G.I.C.Y.T. project no. PB 98-1371, and Junta de Andaluc´ıagrant FQM 0199 †Partially supported by Junta de Andaluc´ıa grant FQM 0199 generalization of “Grothendieck’s inequalities” to complex JB*-triples. -
Kirszbraun's Theorem
Version of 14.9.18 Kirszbraun’s theorem D.H.Fremlin University of Essex, Colchester, England Wikipedia gives a statement of this theorem and an outline of its history, but no online source for the proof. It’s so pretty that I write one out here. 1 The essential ideas 1A The context I’ll come to the actual statement of the theorem, taken from http://en.wikipedia.org/ wiki/Kirszbraun theorem, in 1G below. This will be in the standard full-generality form concerning Lipschitz maps between (real) Hilbert spaces H1 and H2. If you aren’t familiar with ‘Hilbert spaces’ (http://en.wikipedia.org/wiki/Hilbert space), then you will probably prefer to start by taking both n H1 and H2 to be a Euclidean space R , with the inner product n (x y)= x.y = ξiηi | Pi=1 n if x =(ξ1,... ,ξn) and y =(η1,... ,ηn) belong to R , and the norm x = (x x)= n ξ2, k k p | pPi=1 i so that n 2 x y = (ξi ηi) k − k pPi=1 − is the Euclidean distance from x to y calculated with the n-dimensional version of Pythagoras’ theorem. In fact all the really interesting ideas of the proof, in 1B-1F below, are needed for the two-dimensional case n = 2. (The case n = 1 is much easier, as noted in Wikipedia.) I do have to warn you, however, that ordinary proofs of Kirszbraun’s theorem involve ‘Tychonoff’s theorem’ (see 2B below), and unless the words ‘topology’, ‘compact set’ and ‘continuous function’ mean something to you, you are going to have a good deal of work to do to understand the ‘first proof’ offered in 2. -
Alice and Bob Meet Banach the Interface of Asymptotic Geometric Analysis and Quantum Information Theory
Mathematical Surveys and Monographs Volume 223 Alice and Bob Meet Banach The Interface of Asymptotic Geometric Analysis and Quantum Information Theory Guillaume Aubrun Stanisđaw J. Szarek American Mathematical Society 10.1090/surv/223 Alice and Bob Meet Banach The Interface of Asymptotic Geometric Analysis and Quantum Information Theory Mathematical Surveys and Monographs Volume 223 Alice and Bob Meet Banach The Interface of Asymptotic Geometric Analysis and Quantum Information Theory Guillaume Aubrun Stanisđaw J. Szarek American Mathematical Society Providence, Rhode Island EDITORIAL COMMITTEE Robert Guralnick Benjamin Sudakov Michael A. Singer, Chair Constantin Teleman MichaelI.Weinstein 2010 Mathematics Subject Classification. Primary 46Bxx, 52Axx, 81Pxx, 46B07, 46B09, 52C17, 60B20, 81P40. For additional information and updates on this book, visit www.ams.org/bookpages/surv-223 Library of Congress Cataloging-in-Publication Data Names: Aubrun, Guillaume, 1981- author. | Szarek, Stanislaw J., author. Title: Alice and Bob Meet Banach: The interface of asymptotic geometric analysis and quantum information theory / Guillaume Aubrun, Stanislaw J. Szarek. Description: Providence, Rhode Island : American Mathematical Society, [2017] | Series: Mathe- matical surveys and monographs ; volume 223 | Includes bibliographical references and index. Identifiers: LCCN 2017010894 | ISBN 9781470434687 (alk. paper) Subjects: LCSH: Geometric analysis. | Quantum theory. | AMS: Functional analysis – Normed linear spaces and Banach spaces; Banach lattices – Normed linear spaces and Banach spaces; Banach lattices. msc | Convex and discrete geometry – General convexity – General convex- ity. msc | Quantum theory – Axiomatics, foundations, philosophy – Axiomatics, foundations, philosophy. msc | Functional analysis – Normed linear spaces and Banach spaces; Banach lattices – Local theory of Banach spaces. msc | Functional analysis – Normed linear spaces and Banach spaces; Banach lattices – Probabilistic methods in Banach space theory. -
The Nonlinear Geometry of Banach Spaces
The Nonlinear Geometry of Banach Spaces Nigel J. KALTON Department of Mathematics University of Missouri-Columbia Columbia, MO 65211 [email protected] Received: November 5, 2007 Accepted: January 14, 2008 ABSTRACT We survey some of the recent developments in the nonlinear theory of Banach spaces, with emphasis on problems of Lipschitz and uniform homeomorphism and uniform and coarse embeddings of metric spaces. Key words: Banach space, nonlinear, Lipschitz, uniform homeomorphism, coarse em- bedding. 2000 Mathematics Subject Classification: 46B25, 46T99. The author was supported by NSF grant DMS-0555670. Rev. Mat. Complut. 21 (2008), no. 1, 7–60 7 ISSN: 1139-1138 http://dx.doi.org/10.5209/rev_REMA.2008.v21.n1.16426 Nigel J. Kalton The nonlinear geometry of Banach spaces Contents Introduction 9 1. Preliminaries 11 1.1. Basic Banach space theory . ..................... 11 1.2. Homeomorphisms and isometries between Banach spaces ....... 13 1.3. Various categories of homeomorphisms ................. 14 2. Lipschitz and uniform homeomorphisms between Banach spaces 18 2.1. Classical differentiability results for Lipschitz maps .......... 18 2.2. The Lipschitz isomorphism problem, I .................. 22 2.3. The Lipschitz isomorphism problem, II . .............. 26 2.4. Uniformly and coarsely homeomorphic Banach spaces ......... 30 3. Properties of metric spaces and extension of Lipschitz maps 35 3.1. Nonlinear type and cotype ........................ 35 3.2. The structure of the Arens-Eells space of a metric space ........ 39 3.3. Extension of Lipschitz maps: absolute Lipschitz retracts ........ 41 3.4. Extending Lipschitz maps into Banach spaces ............. 42 4. Uniform and coarse embeddings 48 4.1. Uniform and coarse embeddings in Lp-spaces ............. -
Regularity Principle in Sequence Spaces and Applications
Regularity principle in sequence spaces and applications D. Pellegrino, J. Santos, D. Serrano-Rodr´ıguez, E. Teixeira Abstract We prove a nonlinear regularity principle in sequence spaces which produces universal estimates for special series defined therein. Some consequences are ob- tained and, in particular, we establish new inclusion theorems for multiple sum- ming operators. Of independent interest, we settle all Grothendieck’s type (ℓ1, ℓ2) theorems for multilinear operators. We further employ the new regularity principle to solve the classification problem concerning all pairs of admissible exponents in the anisotropic Hardy–Littlewood inequality. Contents 1 Introduction 1 2 The Regularity Principle 3 3 New inclusion theorems for multiple summing operators 10 4 Grothendieck-type theorems 13 5 Sharp anisotropic Hardy–Littlewood inequality 15 6 Dimension blow-up 21 arXiv:1608.03423v2 [math.CA] 18 Aug 2016 7 Remarks on the multilinear case 28 1 Introduction Regularity arguments are fundamental tools in the analysis of a variety of problems as they often pave the way to important discoveries in the realm of mathematics and its applications. Regularity results may appear in many different configurations, some- times quite explicitly as in the theory of diffusive PDEs, sometimes in a more subtle form, and in this article we are interested in the following universality problem, which drifts a hidden regularity principle in it: 1 Problem 1. Let p ≥ 1 be a real number, X, Y, W1, W2 be non-void sets, Z1, Z2, Z3 be normed spaces and f : X × Y → Z1, g: X × W1 → Z2, h: Y × W2 → Z3 be particular maps. -
Challenges in Hadamard Spaces 3
OLD AND NEW CHALLENGES IN HADAMARD SPACES MIROSLAV BACˇAK´ Abstract. Hadamard spaces have traditionally played important roles in geometry and geometric group theory. More recently, they have additionally turned out to be a suitable framework for convex analysis, optimization and nonlinear probability theory. The attractiveness of these emerging subject fields stems, inter alia, from the fact that some of the new results have already found their applications both in math- ematics and outside. Most remarkably, a gradient flow theorem in Hadamard spaces was used to attack a conjecture of Donaldson in K¨ahler geometry. Other areas of applications include metric geometry and minimization of submodular functions on modular lattices. There have been also applications into computational phylogenetics and imaging. We survey recent developments in Hadamard space analysis and optimization with the intention to advertise various open problems in the area. We also point out several fallacies in the existing proofs. 1. Introduction The present paper is a follow-up to the 2014 book [16] with the aim to present new advances in the theory of Hadamard spaces and their applications. We focus primarily on analysis and optimization, because their current development stage is, in our opinion, very favorable. On the one hand, these subject fields are very young and offer many new possibilities for further research, and on the other hand, the existing theory is already mature enough to be applied elsewhere. We will highlight the most notable applications including a conjecture of Donaldson on the asymptotic behavior of the Calabi flow in K¨ahler geometry, • the existence of Lipschitz retractions in Finite Subset Space, • submodular function minimization on modular lattices, • computing averages of trees in phylogenetics, • computing averages of positive definite matrices in Diffusion Tensor Imaging. -
Grothendieck's Theorem for Noncommutative C*-Algebras, with an Appendix on Grothendieck's Constants I 4~ R)L < K II U
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector JOURNAL OF FUNCTIONAL ANALYSIS 29, 397-415 (1978) Grothendieck’s Theorem for Noncommutative C*-Algebras, with an Appendix on Grothendieck’s Constants GILLES PISIER Centre de MathtGnatiques de l’l?cole Polyteclmique, Plateau de Paloiseau, 91128 Palaiseau Cedex, France Laboratoire de Recherche Associe’ au C.N.R.S. Communicated by the Editors Received October 27, 1976; revised April 17, 1977 We study a conjecture of Grothendieck on bilinear forms on a C*-algebra @. We prove that every “approximable” operator from /X into oT* factors through a Ililbert space, and we describe the factorization. In the commutative case, this is known as Grothendieck’s theorem. These results enable us to prove a con- jecture of Ringrose on operators on a C*-algebra. In the Appendix, we present a new proof of Grothendieck’s inequality which gives an improved upper bound for the so-called Grothendieck constant KG. One of the various reformulations of Grothendieck’s “fundamental theorem of the metric theory of tensor products” is as follows: Let M be a locally compact space and let C(M) denote the Banach space of continuous functions on M which tend to zero at infinity. For any bounded bilinear form u on C(M) x C(M), there exist probability measures A, p on M such that where K is an absolute constant, the best value of which is referred to as Grothen- dieck’s constant: KG . In [2, Question 4, p. 731 Grothendieck asked if one can replace in the above theorem the space C(M) by a C*-algebra 0T, the concIusion being changed to V(N, y) E Gr x a, I 4~ r)l < K II u IIMI x I’) .