SCUOLA NORMALE SUPERIORE DI PISA Classe Di Scienze
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An Abstract Algebraic–Topological Approach to the Notions of a First
An abstract algebraic{topological approach to the notions of a ¯rst and a second dual space I H. Poppe, R. Bartsch 1 Introduction By IR and C= we denote the reals and the complex numbers respectively and by IK we mean IR or C= . Now let (X; jj ¢ jj) be a normed IK{vector space and X0 := ff : X ! IKj f linear and continuousg the (¯rst) dual space (dual) of X. Hence X0 consists of functions which at the same time are an algebraic homomorphism (a linear map) and a topological homomorphism (a continuous map). By the usual operatornorm, (X0; jj ¢ jj) again becomes a normed space (even a Banach{space) meaning that X and X0 belong to the same class of spaces. Hence at once we can construct the second dual space (bidual) X00 by: X00 := ((X; jj ¢ jj)0; jj ¢ jj)0. Then the canonical map J : X ! X00 is de¯ned via the evaluation map(1) ! : X £ IKX ! IK by J(x) := !(x; ¢) 2 X00 with 8x 2 X : !(x; ¢): X0 ! IK; 8x0 2 X0 : !(x; ¢)(x0) = !(x; x0) = x0(x). 1.1 Proposition X !(x; ¢):(IK ;¿p) ! IK is continuous for all x 2 X. X X ¿p Proof: For any net (fi)i2I from IK , f 2 IK , fi ¡! f implies especially fi(x) ! f(x) and thus !(x; fi) = fi(x) ! f(x) = !(x; f). 1.2 Remark So the map J is well{de¯ned since we have 8x 2 X : !(x; ¢) 2 X00, i.e. !(x; ¢): 0 (X ; jj ¢ jj) ! IK is linear and continuous (w.r.t. -
Duality, Part 1: Dual Bases and Dual Maps Notation
Duality, part 1: Dual Bases and Dual Maps Notation F denotes either R or C. V and W denote vector spaces over F. Define ': R3 ! R by '(x; y; z) = 4x − 5y + 2z. Then ' is a linear functional on R3. n n Fix (b1;:::; bn) 2 C . Define ': C ! C by '(z1;:::; zn) = b1z1 + ··· + bnzn: Then ' is a linear functional on Cn. Define ': P(R) ! R by '(p) = 3p00(5) + 7p(4). Then ' is a linear functional on P(R). R 1 Define ': P(R) ! R by '(p) = 0 p(x) dx. Then ' is a linear functional on P(R). Examples: Linear Functionals Definition: linear functional A linear functional on V is a linear map from V to F. In other words, a linear functional is an element of L(V; F). n n Fix (b1;:::; bn) 2 C . Define ': C ! C by '(z1;:::; zn) = b1z1 + ··· + bnzn: Then ' is a linear functional on Cn. Define ': P(R) ! R by '(p) = 3p00(5) + 7p(4). Then ' is a linear functional on P(R). R 1 Define ': P(R) ! R by '(p) = 0 p(x) dx. Then ' is a linear functional on P(R). Linear Functionals Definition: linear functional A linear functional on V is a linear map from V to F. In other words, a linear functional is an element of L(V; F). Examples: Define ': R3 ! R by '(x; y; z) = 4x − 5y + 2z. Then ' is a linear functional on R3. Define ': P(R) ! R by '(p) = 3p00(5) + 7p(4). Then ' is a linear functional on P(R). R 1 Define ': P(R) ! R by '(p) = 0 p(x) dx. -
On Hereditary Reflexivity of Topological Vector Spaces
GLASNIK MATEMATICKIˇ Vol. 43(63)(2008), 397 – 422 ON HEREDITARY REFLEXIVITY OF TOPOLOGICAL VECTOR SPACES. THE DE RHAM COCHAIN AND CHAIN SPACES Ju. T. Lisica Peoples’ Friendship University of Russia, Russia Dedicated to Professor Sibe Mardeˇsi´c Abstract. For proving reflexivity of the spaces of de Rham coho- mology and homology of C∞-manifolds the author considers the notion of hereditary reflexivity as well as the notion of dual hereditary reflexivity of locally convex topological vector spaces which is interesting in itself. Com- plete barrelled nuclear spaces with complete nuclear duals turn out to be hereditarily reflexive. The Pontryagin duality in locally convex topological spaces is also considered. 1. Introduction p p c Let Ω (M), Ωc (M), Ωp(M), Ωp(M), p ≥ 0, be the de Rham cochain com- plex of C∞-differential forms, the de Rham cochain complex of C∞-differential forms with compact supports and the de Rham chain complex of C∞-differen- tial forms with coefficients in Schwartz distributions with compact sup- ports (currents with compact supports), the de Rham chain complex of C∞-differential forms with coefficients in Schwartz distributions (currents) of a C∞-manifold M, respectively. The locally convex topology on Ωp(M) is the topology of compact con- p vergence for all derivatives, on Ωc (M) it is the topology of the strict inductive 2000 Mathematics Subject Classification. 46A03, 46A04, 55N07, 55P55. Key words and phrases. De Rham cohomology, currents, nuclear spaces, hereditary reflexivity, dual hereditary reflexivity, Pontryagin duality. This research was supported by a grant of Russia’s Fund of Fundamental Researches (Grant # 06-01-00341). -
Recent Developments in the Theory of Duality in Locally Convex Vector Spaces
[ VOLUME 6 I ISSUE 2 I APRIL– JUNE 2019] E ISSN 2348 –1269, PRINT ISSN 2349-5138 RECENT DEVELOPMENTS IN THE THEORY OF DUALITY IN LOCALLY CONVEX VECTOR SPACES CHETNA KUMARI1 & RABISH KUMAR2* 1Research Scholar, University Department of Mathematics, B. R. A. Bihar University, Muzaffarpur 2*Research Scholar, University Department of Mathematics T. M. B. University, Bhagalpur Received: February 19, 2019 Accepted: April 01, 2019 ABSTRACT: : The present paper concerned with vector spaces over the real field: the passage to complex spaces offers no difficulty. We shall assume that the definition and properties of convex sets are known. A locally convex space is a topological vector space in which there is a fundamental system of neighborhoods of 0 which are convex; these neighborhoods can always be supposed to be symmetric and absorbing. Key Words: LOCALLY CONVEX SPACES We shall be exclusively concerned with vector spaces over the real field: the passage to complex spaces offers no difficulty. We shall assume that the definition and properties of convex sets are known. A convex set A in a vector space E is symmetric if —A=A; then 0ЄA if A is not empty. A convex set A is absorbing if for every X≠0 in E), there exists a number α≠0 such that λxЄA for |λ| ≤ α ; this implies that A generates E. A locally convex space is a topological vector space in which there is a fundamental system of neighborhoods of 0 which are convex; these neighborhoods can always be supposed to be symmetric and absorbing. Conversely, if any filter base is given on a vector space E, and consists of convex, symmetric, and absorbing sets, then it defines one and only one topology on E for which x+y and λx are continuous functions of both their arguments. -
A General Form of Gelfand-Kazhdan Criterion
A GENERAL FORM OF GELFAND-KAZHDAN CRITERION BINYONG SUN AND CHEN-BO ZHU Abstract. We formalize the notion of matrix coefficients for distributional vectors in a representation of a real reductive group, which consist of generalized functions on the group. As an application, we state and prove a Gelfand-Kazhdan criterion for a real reductive group in very general settings. 1. Tempered generalized functions and Casselman-Wallach representations In this section, we review some basic terminologies in representation theory, which are necessary for this article. The two main ones are tempered generalized functions and Casselman-Wallach representations. We refer the readers to [W1, W2] as general references. Let G be a real reductive Lie group, by which we mean that (a) the Lie algebra g of G is reductive; (b) G has finitely many connected components; and (c) the connected Lie subgroup of G with Lie algebra [g, g] has a finite center. We say that a (complex valued) function f on G is of moderate growth if there is a continuous group homomorphism ρ : G → GLn(C), for some n ≥ 1, such that t t |f(x)| ≤ tr(ρ(x) ρ(x)) + tr(ρ(x−1) ρ(x−1)), x ∈ G. Here “¯” stands for the complex conjugation, and “ t” the transpose, of a matrix. ∞ arXiv:0903.1409v6 [math.RT] 25 Jan 2011 A smooth function f ∈ C (G) is said to be tempered if Xf has moderate growth for all X in the universal enveloping algebra U(gC). Here and as usual, gC is the complexification of g, and U(gC) is identified with the space of all left invariant differential operators on G. -
Nonlinear Spectral Theory Henning Wunderlich
Nonlinear Spectral Theory Henning Wunderlich Dr. Henning Wunderlich, Frankfurt, Germany E-mail address: [email protected] 1991 Mathematics Subject Classification. 46-XX,47-XX I would like to sincerely thank Prof. Dr. Delio Mugnolo for his valuable advice and support during the preparation of this thesis. Contents Introduction 5 Chapter 1. Spaces 7 1. Topological Spaces 7 2. Uniform Spaces 11 3. Metric Spaces 14 4. Vector Spaces 15 5. Topological Vector Spaces 18 6. Locally-Convex Spaces 21 7. Bornological Spaces 23 8. Barreled Spaces 23 9. Metric Vector Spaces 29 10. Normed Vector Spaces 30 11. Inner-Product Vector Spaces 31 12. Examples 31 Chapter 2. Fixed Points 39 1. Schauder-Tychonoff 39 2. Monotonic Operators 43 3. Dugundji and Quasi-Extensions 51 4. Measures of Noncompactness 53 5. Michael Selection 58 Chapter 3. Existing Spectra 59 1. Linear Spectrum and Properties 59 2. Spectra Under Consideration 63 3. Restriction to Linear Operators 76 4. Nonemptyness 77 5. Closedness 78 6. Boundedness 82 7. Upper Semicontinuity 84 Chapter 4. Applications 87 1. Nemyckii Operator 87 2. p-Laplace Operator 88 3. Navier-Stokes Equations 92 Bibliography 97 Index 101 3 Introduction The term Spectral Theory was coined by David Hilbert in his studies of qua- dratic forms in infinitely-many variables. This theory evolved into a beautiful blend of Linear Algebra and Analysis, with striking applications in different fields of sci- ence. For example, the formulation of the calculus of Quantum Mechanics (e.g., POVM) would not have been possible without such a (Linear) Spectral Theory at hand. -
Residues, Duality, and the Fundamental Class of a Scheme-Map
RESIDUES, DUALITY, AND THE FUNDAMENTAL CLASS OF A SCHEME-MAP JOSEPH LIPMAN Abstract. The duality theory of coherent sheaves on algebraic vari- eties goes back to Roch's half of the Riemann-Roch theorem for Riemann surfaces (1870s). In the 1950s, it grew into Serre duality on normal projective varieties; and shortly thereafter, into Grothendieck duality for arbitrary varieties and more generally, maps of noetherian schemes. This theory has found many applications in geometry and commutative algebra. We will sketch the theory in the reasonably accessible context of a variety V over a perfect field k, emphasizing the role of differential forms, as expressed locally via residues and globally via the fundamental class of V=k. (These notions will be explained.) As time permits, we will indicate some connections with Hochschild homology, and generalizations to maps of noetherian (formal) schemes. Even 50 years after the inception of Grothendieck's theory, some of these generalizations remain to be worked out. Contents Introduction1 1. Riemann-Roch and duality on curves2 2. Regular differentials on algebraic varieties4 3. Higher-dimensional residues6 4. Residues, integrals and duality7 5. Closing remarks8 References9 Introduction This talk, aimed at graduate students, will be about the duality theory of coherent sheaves on algebraic varieties, and a bit about its massive|and still continuing|development into Grothendieck duality theory, with a few indications of applications. The prerequisite is some understanding of what is meant by cohomology, both global and local, of such sheaves. Date: May 15, 2011. 2000 Mathematics Subject Classification. Primary 14F99. Key words and phrases. Hochschild homology, Grothendieck duality, fundamental class. -
Topological Vector Spaces
Chapter 2 Topological Vector Spaces 2.1 Definition and properties of a topological vector space In this section we are going to consider vector spaces over the field K of real or complex numbers which is given the usual euclidean topology defined by means of the modulus. Definition 2.1.1. A vector space X over K is called a topological vector space (t.v.s.) if X is provided with a topology ⌧ which is compatible with the vector space structure of X, i.e. ⌧ makes the vector space operations both continuous. More precisely, the condition in the definition of t.v.s. requires that: X X X ⇥ ! (x, y) x + y vector addition 7! K X X ⇥ ! (λ, x) λx scalar multiplication 7! are both continuous when we endow X with the topology ⌧, K with the eu- clidean topology, X X and K X with the correspondent product topologies. ⇥ ⇥ Remark 2.1.2. If (X,⌧) is a t.v.s then it is clear from Definition 2.1.1 that N (n) (n) N k=1 λk xk k=1 λkxk as n w.r.t. ⌧ if for each k =1,...,N ! (n) !1 as n we have that λ λk w.r.t. the euclidean topology on K and P !1 P k ! x(n) x w.r.t. ⌧. k ! k Let us discuss now some examples and counterexamples of t.v.s. Examples 2.1.3. a) Every vector space X over K endowed with the trivial topology is a t.v.s.. 15 2. Topological Vector Spaces b) Every normed vector space endowed with the topology given by the metric induced by the norm is a t.v.s. -
Subspaces and Quotients of Topological and Ordered Vector Spaces
Zoran Kadelburg Stojan Radenovi´c SUBSPACES AND QUOTIENTS OF TOPOLOGICAL AND ORDERED VECTOR SPACES Novi Sad, 1997. CONTENTS INTRODUCTION::::::::::::::::::::::::::::::::::::::::::::::::::::: 1 I: TOPOLOGICAL VECTOR SPACES::::::::::::::::::::::::::::::: 3 1.1. Some properties of subsets of vector spaces ::::::::::::::::::::::: 3 1.2. Topological vector spaces::::::::::::::::::::::::::::::::::::::::: 6 1.3. Locally convex spaces :::::::::::::::::::::::::::::::::::::::::::: 12 1.4. Inductive and projective topologies ::::::::::::::::::::::::::::::: 15 1.5. Topologies of uniform convergence. The Banach-Steinhaus theorem 21 1.6. Duality theory ::::::::::::::::::::::::::::::::::::::::::::::::::: 28 II: SUBSPACES AND QUOTIENTS OF TOPOLOGICAL VECTOR SPACES ::::::::::::::::::::::::::::::::::::::::::::::::::::::::: 39 2.1. Subspaces of lcs’s belonging to the basic classes ::::::::::::::::::: 39 2.2. Subspaces of lcs’s from some other classes :::::::::::::::::::::::: 47 2.3. Subspaces of topological vector spaces :::::::::::::::::::::::::::: 56 2.4. Three-space-problem for topological vector spaces::::::::::::::::: 60 2.5. Three-space-problem in Fr´echet spaces:::::::::::::::::::::::::::: 65 III: ORDERED TOPOLOGICAL VECTOR SPACES :::::::::::::::: 72 3.1. Basics of the theory of Riesz spaces::::::::::::::::::::::::::::::: 72 3.2. Topological vector Riesz spaces ::::::::::::::::::::::::::::::::::: 79 3.3. The basic classes of locally convex Riesz spaces ::::::::::::::::::: 82 3.4. l-ideals of topological vector Riesz spaces ::::::::::::::::::::::::: -
SERRE DUALITY and APPLICATIONS Contents 1
SERRE DUALITY AND APPLICATIONS JUN HOU FUNG Abstract. We carefully develop the theory of Serre duality and dualizing sheaves. We differ from the approach in [12] in that the use of spectral se- quences and the Yoneda pairing are emphasized to put the proofs in a more systematic framework. As applications of the theory, we discuss the Riemann- Roch theorem for curves and Bott's theorem in representation theory (follow- ing [8]) using the algebraic-geometric machinery presented. Contents 1. Prerequisites 1 1.1. A crash course in sheaves and schemes 2 2. Serre duality theory 5 2.1. The cohomology of projective space 6 2.2. Twisted sheaves 9 2.3. The Yoneda pairing 10 2.4. Proof of theorem 2.1 12 2.5. The Grothendieck spectral sequence 13 2.6. Towards Grothendieck duality: dualizing sheaves 16 3. The Riemann-Roch theorem for curves 22 4. Bott's theorem 24 4.1. Statement and proof 24 4.2. Some facts from algebraic geometry 29 4.3. Proof of theorem 4.5 33 Acknowledgments 34 References 35 1. Prerequisites Studying algebraic geometry from the modern perspective now requires a some- what substantial background in commutative and homological algebra, and it would be impractical to go through the many definitions and theorems in a short paper. In any case, I can do no better than the usual treatments of the various subjects, for which references are provided in the bibliography. To a first approximation, this paper can be read in conjunction with chapter III of Hartshorne [12]. Also in the bibliography are a couple of texts on algebraic groups and Lie theory which may be beneficial to understanding the latter parts of this paper. -
Homotopy Theory and Generalized Duality for Spectral Sheaves
IMRN International Mathematics Research Notices 1996, No. 20 Homotopy Theory and Generalized Duality for Spectral Sheaves Jonathan Block and Andrey Lazarev We would like to express our sadness at the passing of Robert Thomason whose ideas have had a lasting impact on our work. The mathematical community is sorely impoverished by the loss. We dedicate this paper to his memory. 1 Introduction In this paper we announce a Verdier-type duality theorem for sheaves of spectra on a topological space X. Along the way we are led to develop the homotopy theory and stable homotopy theory of spectral sheaves. Such theories have been worked out in the past, most notably by [Br], [BG], [T], and [J]. But for our purposes these theories are inappropri- ate. They also have not been developed as fully as they are here. The previous authors did not have at their disposal the especially good categories of spectra constructed in [EKM], which allow one to do all of homological algebra in the category of spectra. Because we want to work in one of these categories of spectra, we are led to consider sheaves of spaces (as opposed to simplicial sets), and this gives rise to some additional technical difficulties. As an application we compute an example from geometric topology of stratified spaces. In future work we intend to apply our theory to equivariant K-theory. 2 Spectral sheaves There are numerous categories of spectra in existence and our theory can be developed in a number of them. Received 4 June 1996. Revision received 9 August 1996. -
Duality for Mixed-Integer Linear Programs
Duality for Mixed-Integer Linear Programs M. Guzelsoy∗ T. K. Ralphs† Original May, 2006 Revised April, 2007 Abstract The theory of duality for linear programs is well-developed and has been successful in advancing both the theory and practice of linear programming. In principle, much of this broad framework can be ex- tended to mixed-integer linear programs, but this has proven difficult, in part because duality theory does not integrate well with current computational practice. This paper surveys what is known about duality for integer programs and offers some minor extensions, with an eye towards developing a more practical framework. Keywords: Duality, Mixed-Integer Linear Programming, Value Function, Branch and Cut. 1 Introduction Duality has long been a central tool in the development of both optimization theory and methodology. The study of duality has led to efficient procedures for computing bounds, is central to our ability to perform post facto solution analysis, is the basis for procedures such as column generation and reduced cost fixing, and has yielded optimality conditions that can be used as the basis for “warm starting” techniques. Such procedures are useful both in cases where the input data are subject to fluctuation after the solution procedure has been initiated and in applications for which the solution of a series of closely-related instances is required. This is the case for a variety of integer optimization algorithms, including decomposition algorithms, parametric and stochastic programming algorithms, multi-objective optimization algorithms, and algorithms for analyzing infeasible mathematical models. The theory of duality for linear programs (LPs) is well-developed and has been extremely successful in contributing to both theory and practice.