Orthosymmetric Bilinear Map on Riesz Spaces
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A Note on Bilinear Forms
A note on bilinear forms Darij Grinberg July 9, 2020 Contents 1. Introduction1 2. Bilinear maps and forms1 3. Left and right orthogonal spaces4 4. Interlude: Symmetric and antisymmetric bilinear forms 14 5. The morphism of quotients I 15 6. The morphism of quotients II 20 7. More on orthogonal spaces 24 1. Introduction In this note, we shall prove some elementary linear-algebraic properties of bi- linear forms. These properties generalize some of the standard facts about non- degenerate bilinear forms on finite-dimensional vector spaces (e.g., the fact that ? V? = V for a vector subspace V of a vector space A equipped with a nonde- generate symmetric bilinear form) to bilinear forms which may be degenerate. They are unlikely to be new, but I have not found them explored anywhere, whence this note. 2. Bilinear maps and forms We fix a field k. This field will be fixed for the rest of this note. The notion of a “vector space” will always be understood to mean “k-vector space”. The 1 A note on bilinear forms July 9, 2020 word “subspace” will always mean “k-vector subspace”. The word “linear” will always mean “k-linear”. If V and W are two k-vector spaces, then Hom (V, W) denotes the vector space of all linear maps from V to W. If S is a subset of a vector space V, then span S will mean the span of S (that is, the subspace of V spanned by S). We recall the definition of a bilinear map: Definition 2.1. -
Bornologically Isomorphic Representations of Tensor Distributions
Bornologically isomorphic representations of distributions on manifolds E. Nigsch Thursday 15th November, 2018 Abstract Distributional tensor fields can be regarded as multilinear mappings with distributional values or as (classical) tensor fields with distribu- tional coefficients. We show that the corresponding isomorphisms hold also in the bornological setting. 1 Introduction ′ ′ ′r s ′ Let D (M) := Γc(M, Vol(M)) and Ds (M) := Γc(M, Tr(M) ⊗ Vol(M)) be the strong duals of the space of compactly supported sections of the volume s bundle Vol(M) and of its tensor product with the tensor bundle Tr(M) over a manifold; these are the spaces of scalar and tensor distributions on M as defined in [?, ?]. A property of the space of tensor distributions which is fundamental in distributional geometry is given by the C∞(M)-module isomorphisms ′r ∼ s ′ ∼ r ′ Ds (M) = LC∞(M)(Tr (M), D (M)) = Ts (M) ⊗C∞(M) D (M) (1) (cf. [?, Theorem 3.1.12 and Corollary 3.1.15]) where C∞(M) is the space of smooth functions on M. In[?] a space of Colombeau-type nonlinear generalized tensor fields was constructed. This involved handling smooth functions (in the sense of convenient calculus as developed in [?]) in par- arXiv:1105.1642v1 [math.FA] 9 May 2011 ∞ r ′ ticular on the C (M)-module tensor products Ts (M) ⊗C∞(M) D (M) and Γ(E) ⊗C∞(M) Γ(F ), where Γ(E) denotes the space of smooth sections of a vector bundle E over M. In[?], however, only minor attention was paid to questions of topology on these tensor products. -
28. Exterior Powers
28. Exterior powers 28.1 Desiderata 28.2 Definitions, uniqueness, existence 28.3 Some elementary facts 28.4 Exterior powers Vif of maps 28.5 Exterior powers of free modules 28.6 Determinants revisited 28.7 Minors of matrices 28.8 Uniqueness in the structure theorem 28.9 Cartan's lemma 28.10 Cayley-Hamilton Theorem 28.11 Worked examples While many of the arguments here have analogues for tensor products, it is worthwhile to repeat these arguments with the relevant variations, both for practice, and to be sensitive to the differences. 1. Desiderata Again, we review missing items in our development of linear algebra. We are missing a development of determinants of matrices whose entries may be in commutative rings, rather than fields. We would like an intrinsic definition of determinants of endomorphisms, rather than one that depends upon a choice of coordinates, even if we eventually prove that the determinant is independent of the coordinates. We anticipate that Artin's axiomatization of determinants of matrices should be mirrored in much of what we do here. We want a direct and natural proof of the Cayley-Hamilton theorem. Linear algebra over fields is insufficient, since the introduction of the indeterminate x in the definition of the characteristic polynomial takes us outside the class of vector spaces over fields. We want to give a conceptual proof for the uniqueness part of the structure theorem for finitely-generated modules over principal ideal domains. Multi-linear algebra over fields is surely insufficient for this. 417 418 Exterior powers 2. Definitions, uniqueness, existence Let R be a commutative ring with 1. -
A Symplectic Banach Space with No Lagrangian Subspaces
transactions of the american mathematical society Volume 273, Number 1, September 1982 A SYMPLECTIC BANACHSPACE WITH NO LAGRANGIANSUBSPACES BY N. J. KALTON1 AND R. C. SWANSON Abstract. In this paper we construct a symplectic Banach space (X, Ü) which does not split as a direct sum of closed isotropic subspaces. Thus, the question of whether every symplectic Banach space is isomorphic to one of the canonical form Y X Y* is settled in the negative. The proof also shows that £(A") admits a nontrivial continuous homomorphism into £(//) where H is a Hilbert space. 1. Introduction. Given a Banach space E, a linear symplectic form on F is a continuous bilinear map ß: E X E -> R which is alternating and nondegenerate in the (strong) sense that the induced map ß: E — E* given by Û(e)(f) = ü(e, f) is an isomorphism of E onto E*. A Banach space with such a form is called a symplectic Banach space. It can be shown, by essentially the argument of Lemma 2 below, that any symplectic Banach space can be renormed so that ß is an isometry. Any symplectic Banach space is reflexive. Standard examples of symplectic Banach spaces all arise in the following way. Let F be a reflexive Banach space and set E — Y © Y*. Define the linear symplectic form fiyby Qy[(^. y% (z>z*)] = z*(y) ~y*(z)- We define two symplectic spaces (£,, ß,) and (E2, ß2) to be equivalent if there is an isomorphism A : Ex -» E2 such that Q2(Ax, Ay) = ß,(x, y). A. Weinstein [10] has asked the question whether every symplectic Banach space is equivalent to one of the form (Y © Y*, üy). -
Multilinear Algebra a Bilinear Map in Chapter I
·~ ...,... .chapter II 1 60 MULTILINEAR ALGEBRA Here a:"~ E v,' a:J E VJ for j =F i, and X EF. Thus, a function rjl: v 1 X ••• X v n --+ v is a multilinear mapping if for all i e { 1, ... , n} and for all vectors a: 1 e V 1> ... , a:1_ 1 eV1_h a:1+ 1eV1+ 1 , ••. , a:.ev•• we have rjl(a: 1 , ... ,a:1_ 1, ··, a 1+ 1, ... , a:.)e HomJ>{V" V). Before proceeding further, let us give a few examples of multilinear maps. Example 1. .2: Ifn o:= 1, then a function cf>: V 1 ..... Vis a multilinear mapping if and only if r/1 is a linear transformation. Thus, linear tra~sformations are just special cases of multilinear maps. 0 Example 1.3: If n = 2, then a multilinear map r/1: V 1 x V 2 ..... V is what we called .Multilinear Algebra a bilinear map in Chapter I. For a concrete example, we have w: V x v• ..... F given by cv(a:, T) = T(a:) (equation 6.6 of Chapter 1). 0 '\1 Example 1.4: The determinant, det{A), of an n x n matrix A can be thought of .l as a multilinear mapping cf>: F .. x · · · x P--+ F in the following way: If 1. MULTILINEAR MAPS AND TENSOR PRODUCTS a: (a , ... , a .) e F" for i 1, ... , o, then set rjl(a: , ... , a:.) det(a J)· The fact "'I 1 = 11 1 = 1 = 1 that rJ> is multilinear is an easy computation, which we leave as an exercise at the In Chapter I, we dealt mainly with functions of one variable. -
Cross Products, Automorphisms, and Gradings 3
CROSS PRODUCTS, AUTOMORPHISMS, AND GRADINGS ALBERTO DAZA-GARC´IA, ALBERTO ELDUQUE, AND LIMING TANG Abstract. The affine group schemes of automorphisms of the multilinear r- fold cross products on finite-dimensional vectors spaces over fields of character- istic not two are determined. Gradings by abelian groups on these structures, that correspond to morphisms from diagonalizable group schemes into these group schemes of automorphisms, are completely classified, up to isomorphism. 1. Introduction Eckmann [Eck43] defined a vector cross product on an n-dimensional real vector space V , endowed with a (positive definite) inner product b(u, v), to be a continuous map X : V r −→ V (1 ≤ r ≤ n) satisfying the following axioms: b X(v1,...,vr), vi =0, 1 ≤ i ≤ r, (1.1) bX(v1,...,vr),X(v1,...,vr) = det b(vi, vj ) , (1.2) There are very few possibilities. Theorem 1.1 ([Eck43, Whi63]). A vector cross product exists in precisely the following cases: • n is even, r =1, • n ≥ 3, r = n − 1, • n =7, r =2, • n =8, r =3. Multilinear vector cross products X on vector spaces V over arbitrary fields of characteristic not two, relative to a nondegenerate symmetric bilinear form b(u, v), were classified by Brown and Gray [BG67]. These are the multilinear maps X : V r → V (1 ≤ r ≤ n) satisfying (1.1) and (1.2). The possible pairs (n, r) are again those in Theorem 1.1. The exceptional cases: (n, r) = (7, 2) and (8, 3), are intimately related to the arXiv:2006.10324v1 [math.RT] 18 Jun 2020 octonion, or Cayley, algebras. -
Multibraces on the Hochschild Space Fusun( Akman Department of Mathematics and Statistics, Coastal Carolina University, P.O
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Journal of Pure and Applied Algebra 167 (2002) 129–163 www.elsevier.com/locate/jpaa Multibraces on the Hochschild space Fusun( Akman Department of Mathematics and Statistics, Coastal Carolina University, P.O. Box 261954, Conway, SC 29528-6054, USA Received 24 March 1997; received in revised form8 January 2001 Communicated by J. Huebschmann Abstract We generalize the coupled braces {x}{y} of Gerstenhaber and {x}{y1;:::;yn} of Gersten- haber and Getzler depicting compositions of multilinear maps in the Hochschild space C•(A)= Hom(T •A; A) of a graded vector space A to expressions of the form {x(1);:::;x(1)}··· 1 i1 {x(m);:::;x(m)} on the extended space C•;•(A) = Hom(T •A; T •A). We apply multibraces to 1 im study associative and Lie algebras, Batalin–Vilkovisky algebras, and A∞ and L∞ algebras: most importantly, we introduce a new variant of the master identity for L∞ algebras in the form {m˜ ◦ m˜}{sa1}{sa2}···{san} = 0. Using the new language, we also explain the signiÿcance of this notation for bialgebras (coassociativity is simply ◦=0), comment on the bialgebra coho- mology di>erential of Gerstenhaber and Schack, and deÿne multilinear higher-order di>erential operators with respect to multilinear maps. c 2002 Elsevier Science B.V. All rights reserved. MSC: 17A30; 17A40; 17A42; 16W55; 16W30 1. Introduction Occasionally, an algebraic identity we encounter in mathematical physics or homo- logical algebra boils down to the following: the composition of a multilinear map with another one, or a sumof such compositions,is identically zero. -
Lecture Notes on Linear and Multilinear Algebra 2301-610
Lecture Notes on Linear and Multilinear Algebra 2301-610 Wicharn Lewkeeratiyutkul Department of Mathematics and Computer Science Faculty of Science Chulalongkorn University August 2014 Contents Preface iii 1 Vector Spaces 1 1.1 Vector Spaces and Subspaces . 2 1.2 Basis and Dimension . 10 1.3 Linear Maps . 18 1.4 Matrix Representation . 32 1.5 Change of Bases . 42 1.6 Sums and Direct Sums . 48 1.7 Quotient Spaces . 61 1.8 Dual Spaces . 65 2 Multilinear Algebra 73 2.1 Free Vector Spaces . 73 2.2 Multilinear Maps and Tensor Products . 78 2.3 Determinants . 95 2.4 Exterior Products . 101 3 Canonical Forms 107 3.1 Polynomials . 107 3.2 Diagonalization . 115 3.3 Minimal Polynomial . 128 3.4 Jordan Canonical Forms . 141 i ii CONTENTS 4 Inner Product Spaces 161 4.1 Bilinear and Sesquilinear Forms . 161 4.2 Inner Product Spaces . 167 4.3 Operators on Inner Product Spaces . 180 4.4 Spectral Theorem . 190 Bibliography 203 Preface This book grew out of the lecture notes for the course 2301-610 Linear and Multilinaer Algebra given at the Deparment of Mathematics, Faculty of Science, Chulalongkorn University that I have taught in the past 5 years. Linear Algebra is one of the most important subjects in Mathematics, with numerous applications in pure and applied sciences. A more theoretical linear algebra course will emphasize on linear maps between vector spaces, while an applied-oriented course will mainly work with matrices. Matrices have an ad- vantage of being easier to compute, while it is easier to establish the results by working with linear maps. -
Tensors in 10 Minutes Or Less
Tensors In 10 Minutes Or Less Sydney Timmerman Under the esteemed mentorship of Apurva Nakade December 5, 2018 JHU Math Directed Reading Program Theorem If there is a relationship between two tensor fields in one coordinate system, that relationship holds in certain other coordinate systems This means the laws of physics can be expressed as relationships between tensors! Why tensors are cool, kids This means the laws of physics can be expressed as relationships between tensors! Why tensors are cool, kids Theorem If there is a relationship between two tensor fields in one coordinate system, that relationship holds in certain other coordinate systems Why tensors are cool, kids Theorem If there is a relationship between two tensor fields in one coordinate system, that relationship holds in certain other coordinate systems This means the laws of physics can be expressed as relationships between tensors! Example Einstein's field equations govern general relativity, 8πG G = T µν c4 µν 0|{z} 0|{z} (2) tensor (2) tensor What tensors look like What tensors look like Example Einstein's field equations govern general relativity, 8πG G = T µν c4 µν 0|{z} 0|{z} (2) tensor (2) tensor Let V be an n-dimensional vector space over R Definition Given u; w 2 V and λ 2 R, a covector is a map α : V ! R satisfying α(u + λw) = α(u) + λα(w) Definition Covectors form the dual space V ∗ The Dual Space Definition Given u; w 2 V and λ 2 R, a covector is a map α : V ! R satisfying α(u + λw) = α(u) + λα(w) Definition Covectors form the dual space V ∗ The Dual Space Let V be -
Self-Bilinear Map from One Way Encoding System and Indistinguishability Obfuscation
Self-bilinear Map from One Way Encoding System and Indistinguishability Obfuscation Huang Zhang1,4, Fangguo Zhang1,4, Baodian Wei2,4, and Yusong Du3 1 School of Information Science and Technology, Sun Yat-sen University 2 School of Data and Computer Science, Sun Yat-sen University 3 School of Information Management, Sun Yat-sen University 4 Guangdong Key Laboratory of Information Security Technology Guangzhou 510006, China [email protected] Abstract. The bilinear map whose domain and target sets are identical is called the self-bilinear map. Original self-bilinear maps are defined over cyclic groups. This brings a lot of limitations to construct secure self-bilinear schemes. Since the map itself reveals information about the underlying cyclic group, hardness assumptions on DDHP and CDHP may not hold any more. In this paper, we used iO to construct a self-bilinear map from generic sets. These sets should own several properties. A new notion, One Way Encoding System (OWES), is proposed to describe formally the properties those sets should hold. An Encoding Division Problem is defined to complete the security proof. As an instance of the generic construction, we propose a concrete scheme built on the GGH graded encoding system and state that any 1-graded encoding system may satisfy the requirements of OWES. Finally, we discuss the hardness of EDP in the GGH graded encoding system. Keywords: self-bilinear map, multi-linear map, indistinguishability obfus- cation, one way encoding system. 1 Introduction The bilinear map is a very useful cryptographic primitive. It provides solutions for many cryptographic applications such as identity-based encryptions [2], non- interactive zero-knowledge proof systems [16], attribute-based encryptions [21] and short signatures [3, 23], etc. -
Cryptanalysis on the Multilinear Map Over the Integers and Its Related Problems ∗
Cryptanalysis on the Multilinear Map over the Integers and its Related Problems ∗ Jung Hee Cheon, Kyoohyung Han, Changmin Lee, Hansol Ryu Seoul National University (SNU), South Korea fjhcheon, satanigh, cocomi11, [email protected] Damien Stehl´e ENS de Lyon, Laboratoire LIP (U. Lyon, CNRS, ENSL, INRIA, UCBL), France [email protected] Abstract The CRT-ACD problem is to find the primes p1; : : : ; pn given polynomially many in- stances of CRT(p1;:::;pn)(r1; : : : ; rn) for small integers r1; : : : ; rn. The CRT-ACD problem is regarded as a hard problem, but its hardness is not proven yet. In this paper, we analyze the CRT-ACD problem when given one more input CRT(p1;:::;pn)(x0=p1; : : : ; x0=pn) for n Q x0 = pi and propose a polynomial-time algorithm for this problem by using products i=1 of the instances and auxiliary input. This algorithm yields a polynomial-time cryptanalysis of the (approximate) multilinear map of Coron, Lepoint and Tibouchi (CLT): We show that by multiplying encodings of zero with zero-testing parameters properly in the CLT scheme, one can obtain a required input of our algorithm: products of CRT-ACD instances and auxiliary input. This leads to a total break: all the quantities that were supposed to be kept secret can be recovered in an efficient and public manner. We also introduce polynomial-time algorithms for the Subgroup Membership, Deci- sion Linear, and Graded External Diffie-Hellman problems, which are used as the base problems of several cryptographic schemes constructed on multilinear maps. Keywords: Multilinear maps, Graded encoding schemes, Decision linear problem, Sub- group membership problem, Graded external Diffie-Hellman problem. -
On Lie 2-Bialgebras
Communications in Mathematical Research 34(1)(2018), 54{64 On Lie 2-bialgebras Qiao Yu and Zhao Jia∗ (School of Mathematics and Information Science, Shaanxi Normal University, Xi'an, 710119) Communicated by Du Xian-kun Abstract: A Lie 2-bialgebra is a Lie 2-algebra equipped with a compatible Lie 2- coalgebra structure. In this paper, we give another equivalent description for Lie 2-bialgebras by using the structure maps and compatibility conditions. We can use this method to check whether a 2-term direct sum of vector spaces is a Lie 2-bialgebra easily. Key words: big bracket, Lie 2-algebra, Lie 2-coalgebra, Lie 2-bialgebra 2010 MR subject classification: 17B66 Document code: A Article ID: 1674-5647(2018)01-0054-11 DOI: 10.13447/j.1674-5647.2018.01.06 1 Introduction 1.1 Background This paper is a sequel to [1], in which the notion of Lie 2-bialgeras was introduced. The main purpose of this paper is to give an equivalent condition for Lie 2-bialgebras. Generally speaking, a Lie 2-bialgebra is a Lie 2-algebra endowed with a Lie 2-coalgebra structure, satisfying certain compatibility conditions. As we all know, a Lie bialgebra structure on a Lie algebra (g; [ · ; · ]) consists of a cobracket δ : g ! g ^ g, which squares to zero, and satisfies the compatibility condition: for all x; y; z 2 g, δ([x; y]) = [x; δ(y)] − [y; δ(x)]: Consequently, one may ask what is a Lie 2-bialgebra. A Lie 2-bialgebra is a pair of 2-terms of L1-algebra structure underlying a 2-vector space and its dual.