171 Composition Operator on the Space of Functions
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Arxiv:0704.2891V3 [Math.AG] 5 Dec 2007 Schwartz Functions on Nash Manifolds
Schwartz functions on Nash manifolds Avraham Aizenbud and Dmitry Gourevitch ∗ July 11, 2011 Abstract In this paper we extend the notions of Schwartz functions, tempered func- tions and generalized Schwartz functions to Nash (i.e. smooth semi-algebraic) manifolds. We reprove for this case classically known properties of Schwartz functions on Rn and build some additional tools which are important in rep- resentation theory. Contents 1 Introduction 2 1.1 Mainresults................................ 3 1.2 Schwartz sections of Nash bundles . 4 1.3 Restricted topologyand sheaf properties . .... 4 1.4 Possibleapplications ........................... 5 1.5 Summary ................................. 6 1.6 Remarks.................................. 6 2 Semi-algebraic geometry 8 2.1 Basicnotions ............................... 8 arXiv:0704.2891v3 [math.AG] 5 Dec 2007 2.2 Tarski-Seidenberg principle of quantifier elimination anditsapplications............................ 8 2.3 Additional preliminary results . .. 10 ∗Avraham Aizenbud and Dmitry Gourevitch, Faculty of Mathematics and Computer Science, The Weizmann Institute of Science POB 26, Rehovot 76100, ISRAEL. E-mails: [email protected], [email protected]. Keywords: Schwartz functions, tempered functions, generalized functions, distributions, Nash man- ifolds. 1 3 Nash manifolds 11 3.1 Nash submanifolds of Rn ......................... 11 3.2 Restricted topological spaces and sheaf theory over them........ 12 3.3 AbstractNashmanifolds . 14 3.3.1 ExamplesandRemarks. 14 3.4 Nashvectorbundles ........................... 15 3.5 Nashdifferentialoperators . 16 3.5.1 Algebraic differential operators on a Nash manifold . .... 17 3.6 Nashtubularneighborhood . 18 4 Schwartz and tempered functions on affine Nash manifolds 19 4.1 Schwartzfunctions ............................ 19 4.2 Temperedfunctions. .. .. .. 20 4.3 Extension by zero of Schwartz functions . .. 20 4.4 Partitionofunity ............................. 21 4.5 Restriction and sheaf property of tempered functions . -
Comparative Programming Languages
CSc 372 Comparative Programming Languages 10 : Haskell — Curried Functions Department of Computer Science University of Arizona [email protected] Copyright c 2013 Christian Collberg 1/22 Infix Functions Declaring Infix Functions Sometimes it is more natural to use an infix notation for a function application, rather than the normal prefix one: 5+6 (infix) (+) 5 6 (prefix) Haskell predeclares some infix operators in the standard prelude, such as those for arithmetic. For each operator we need to specify its precedence and associativity. The higher precedence of an operator, the stronger it binds (attracts) its arguments: hence: 3 + 5*4 ≡ 3 + (5*4) 3 + 5*4 6≡ (3 + 5) * 4 3/22 Declaring Infix Functions. The associativity of an operator describes how it binds when combined with operators of equal precedence. So, is 5-3+9 ≡ (5-3)+9 = 11 OR 5-3+9 ≡ 5-(3+9) = -7 The answer is that + and - associate to the left, i.e. parentheses are inserted from the left. Some operators are right associative: 5^3^2 ≡ 5^(3^2) Some operators have free (or no) associativity. Combining operators with free associativity is an error: 5==4<3 ⇒ ERROR 4/22 Declaring Infix Functions. The syntax for declaring operators: infixr prec oper -- right assoc. infixl prec oper -- left assoc. infix prec oper -- free assoc. From the standard prelude: infixl 7 * infix 7 /, ‘div‘, ‘rem‘, ‘mod‘ infix 4 ==, /=, <, <=, >=, > An infix function can be used in a prefix function application, by including it in parenthesis. Example: ? (+) 5 ((*) 6 4) 29 5/22 Multi-Argument Functions Multi-Argument Functions Haskell only supports one-argument functions. -
Function Spaces Mikko Salo
Function spaces Lecture notes, Fall 2008 Mikko Salo Department of Mathematics and Statistics University of Helsinki Contents Chapter 1. Introduction 1 Chapter 2. Interpolation theory 5 2.1. Classical results 5 2.2. Abstract interpolation 13 2.3. Real interpolation 16 2.4. Interpolation of Lp spaces 20 Chapter 3. Fractional Sobolev spaces, Besov and Triebel spaces 27 3.1. Fourier analysis 28 3.2. Fractional Sobolev spaces 33 3.3. Littlewood-Paley theory 39 3.4. Besov and Triebel spaces 44 3.5. H¨olderand Zygmund spaces 54 3.6. Embedding theorems 60 Bibliography 63 v CHAPTER 1 Introduction In mathematical analysis one deals with functions which are dif- ferentiable (such as continuously differentiable) or integrable (such as square integrable or Lp). It is often natural to combine the smoothness and integrability requirements, which leads one to introduce various spaces of functions. This course will give a brief introduction to certain function spaces which are commonly encountered in analysis. This will include H¨older, Lipschitz, Zygmund, Sobolev, Besov, and Triebel-Lizorkin type spaces. We will try to highlight typical uses of these spaces, and will also give an account of interpolation theory which is an important tool in their study. The first part of the course covered integer order Sobolev spaces in domains in Rn, following Evans [4, Chapter 5]. These lecture notes contain the second part of the course. Here the emphasis is on Sobolev type spaces where the smoothness index may be any real number. This second part of the course is more or less self-contained, in that we will use the first part mainly as motivation. -
Making a Faster Curry with Extensional Types
Making a Faster Curry with Extensional Types Paul Downen Simon Peyton Jones Zachary Sullivan Microsoft Research Zena M. Ariola Cambridge, UK University of Oregon [email protected] Eugene, Oregon, USA [email protected] [email protected] [email protected] Abstract 1 Introduction Curried functions apparently take one argument at a time, Consider these two function definitions: which is slow. So optimizing compilers for higher-order lan- guages invariably have some mechanism for working around f1 = λx: let z = h x x in λy:e y z currying by passing several arguments at once, as many as f = λx:λy: let z = h x x in e y z the function can handle, which is known as its arity. But 2 such mechanisms are often ad-hoc, and do not work at all in higher-order functions. We show how extensional, call- It is highly desirable for an optimizing compiler to η ex- by-name functions have the correct behavior for directly pand f1 into f2. The function f1 takes only a single argu- expressing the arity of curried functions. And these exten- ment before returning a heap-allocated function closure; sional functions can stand side-by-side with functions native then that closure must subsequently be called by passing the to practical programming languages, which do not use call- second argument. In contrast, f2 can take both arguments by-name evaluation. Integrating call-by-name with other at once, without constructing an intermediate closure, and evaluation strategies in the same intermediate language ex- this can make a huge difference to run-time performance in presses the arity of a function in its type and gives a princi- practice [Marlow and Peyton Jones 2004]. -
Fourier Analysis in Function Space Theory
Course No. 401-4463-62L Fourier Analysis in Function Space Theory Dozent: Tristan Rivi`ere Assistant: Alessandro Pigati Contents 1 The Fourier transform of tempered distributions 1 1.1 The Fourier transforms of L1 functions . 1 1.2 The Schwartz Space S(Rn)........................... 4 1.3 Frechet Spaces . 6 1.4 The space of tempered distributions S0(Rn).................. 12 1.5 Convolutions in S0(Rn)............................. 21 2 The Hardy-Littlewood Maximal Function 26 2.1 Definition and elementary properties. 26 2.2 Hardy-Littlewood Lp−theorem for the Maximal Function. 27 2.3 The limiting case p =1. ............................ 30 3 Quasi-normed vector spaces 32 3.1 The Metrizability of quasi-normed vector spaces . 32 3.2 The Lorentz spaces Lp;1 ............................ 36 3.3 Decreasing rearrangement . 37 3.4 The Lorentz spaces Lp;q ............................ 39 3.5 Functional inequalities for Lorentz spaces . 44 3.6 Dyadic characterization of some Lorentz spaces and another proof of Lorentz{ Sobolev embedding (optional) . 49 4 The Lp−theory of Calder´on-Zygmund convolution operators. 52 4.1 Calder´on-Zygmund decompositions. 52 4.2 An application of Calder´on-Zygmund decomposition . 54 4.3 The Marcinkiewicz Interpolation Theorem - The Lp case . 56 4.4 Calderon Zygmund Convolution Operators over Lp ............. 58 4.4.1 A \primitive" formulation . 60 4.4.2 A singular integral type formulation . 64 4.4.3 The case of homogeneous kernels . 69 4.4.4 A multiplier type formulation . 71 4.4.5 Applications: The Lp theory of the Riesz Transform and the Laplace and Bessel Operators . 74 4.4.6 The limiting case p =1........................ -
A Simpler Description of the $\Kappa $-Topologies on the Spaces
A simpler description of the κ-topologies on p 1 the spaces DLp, L , M Christian Bargetz,∗ Eduard A. Nigsch,† Norbert Ortner‡ November 2017 Abstract p 1 The κ-topologies on the spaces DLp , L and M are defined by a neighbourhood basis consisting of polars of absolutely convex and compact subsets of their (pre-)dual spaces. In many cases it is more convenient to work with a description of the topology by means of a family of semi-norms defined by multiplication and/or convolution with functions and by classical norms. We give such families of semi- norms generating the κ-topologies on the above spaces of functions and measures defined by integrability properties. In addition, we present a sequence-space representation of the spaces DLp equipped with the κ-topology, which complements a result of J. Bonet and M. Maestre. As a byproduct, we give a characterisation of the compact subsets of 1 p 1 the spaces DLp , L and M . Keywords: locally convex distribution spaces, topology of uniform conver- gence on compact sets, p-integrable smooth functions, compact sets arXiv:1711.06577v2 [math.FA] 27 Nov 2018 MSC2010 Classification: 46F05, 46E10, 46A13, 46E35, 46A50, 46B50 ∗Institut f¨ur Mathematik, Universit¨at Innsbruck, Technikerstraße 13, 6020 Innsbruck, Austria. e-mail: [email protected]. †Wolfgang Pauli Institut, Oskar-Morgenstern-Platz 1, 1090 Wien, Austria. e-mail: [email protected]. ‡Institut f¨ur Mathematik, Universit¨at Innsbruck, Technikerstraße 13, 6020 Innsbruck, Austria. e-mail: [email protected]. 1 1 Introduction In the context of the convolution of distributions, L. -
Intersections of Fréchet Spaces and (LB)–Spaces
Intersections of Fr¶echet spaces and (LB){spaces Angela A. Albanese and Jos¶eBonet Abstract This article presents results about the class of locally convex spaces which are de¯ned as the intersection E \F of a Fr¶echet space F and a countable inductive limit of Banach spaces E. This class appears naturally in analytic applications to linear partial di®erential operators. The intersection has two natural topologies, the intersection topology and an inductive limit topology. The ¯rst one is easier to describe and the second one has good locally convex properties. The coincidence of these topologies and its consequences for the spaces E \ F and E + F are investigated. 2000 Mathematics Subject Classi¯cation. Primary: 46A04, secondary: 46A08, 46A13, 46A45. The aim of this paper is to investigate spaces E \ F which are the intersection of a Fr¶echet space F and an (LB)-space E. They appear in several parts of analysis whenever the space F is determined by countably many necessary (e.g. di®erentiability of integrabil- ity) conditions and E is the dual of such a space, in particular E is de¯ned by a countable sequence of bounded sets which may also be determined by concrete estimates. Two nat- ural topologies can be de¯ned on E \ F : the intersection topology, which has seminorms easy to describe and which permits direct estimates, and a ¯ner inductive limit topology which is de¯ned in a natural way and which has good locally convex properties, e.g. E \ F with this topology is a barrelled space. -
Sufficient Generalities About Topological Vector Spaces
(November 28, 2016) Topological vector spaces Paul Garrett [email protected] http:=/www.math.umn.edu/egarrett/ [This document is http://www.math.umn.edu/~garrett/m/fun/notes 2016-17/tvss.pdf] 1. Banach spaces Ck[a; b] 2. Non-Banach limit C1[a; b] of Banach spaces Ck[a; b] 3. Sufficient notion of topological vector space 4. Unique vectorspace topology on Cn 5. Non-Fr´echet colimit C1 of Cn, quasi-completeness 6. Seminorms and locally convex topologies 7. Quasi-completeness theorem 1. Banach spaces Ck[a; b] We give the vector space Ck[a; b] of k-times continuously differentiable functions on an interval [a; b] a metric which makes it complete. Mere pointwise limits of continuous functions easily fail to be continuous. First recall the standard [1.1] Claim: The set Co(K) of complex-valued continuous functions on a compact set K is complete with o the metric jf − gjCo , with the C -norm jfjCo = supx2K jf(x)j. Proof: This is a typical three-epsilon argument. To show that a Cauchy sequence ffig of continuous functions has a pointwise limit which is a continuous function, first argue that fi has a pointwise limit at every x 2 K. Given " > 0, choose N large enough such that jfi − fjj < " for all i; j ≥ N. Then jfi(x) − fj(x)j < " for any x in K. Thus, the sequence of values fi(x) is a Cauchy sequence of complex numbers, so has a limit 0 0 f(x). Further, given " > 0 choose j ≥ N sufficiently large such that jfj(x) − f(x)j < " . -
On Schwartz Groups
On Schwartz groups L. Au¼enhofer, M. J. Chasco, X. Dom¶³nguez,V. Tarieladze Abstract In this paper we introduce a notion of a Schwartz group, which turns out to be coherent with the well known concept of a Schwartz topo- logical vector space. We establish several basic properties of Schwartz groups and show that free topological Abelian groups, as well as free locally convex spaces, over a hemicompact k{space are Schwartz groups. We also prove that every hemicompact k{space topological group, in particular the Pontryagin dual of a metrizable topological group, is a Schwartz group. 1 Introduction The notions of Schwartz and nuclear locally convex spaces were introduced by A. Grothendieck in [14] and [13], respectively. An intensive study of these spaces was made in [14, 15, 17, 24, 18, 27], and many other papers. Some relevant problems in the theory of Schwartz spaces have been solved only recently, see in this connection [6, 7]. Many important spaces in Analysis and its applications are either nu- clear or Schwartz. Spaces in both classes satisfy some properties of ¯nite- dimensional spaces (e. g. their bounded subsets are precompact) which general Banach spaces do not have. A group version of the concept of a nuclear space, introduced by W. Banaszczyk in [5], has been proved to be useful in Harmonic Analysis and topological group theory. In this paper we de¯ne a group counterpart of the Schwartz notion. Our de¯nition uses only group-theoretic tools. For the underlying additive group of a topological vector space, our notion appears to be the usual notion of a Schwartz space. -
Functional Properties of Hörmander's Space of Distributions Having A
Functional properties of Hörmander’s space of distributions having a specified wavefront set Yoann Dabrowski, Christian Brouder To cite this version: Yoann Dabrowski, Christian Brouder. Functional properties of Hörmander’s space of distributions having a specified wavefront set. 2014. hal-00850192v2 HAL Id: hal-00850192 https://hal.archives-ouvertes.fr/hal-00850192v2 Preprint submitted on 3 May 2014 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Communications in Mathematical Physics manuscript No. (will be inserted by the editor) Functional properties of H¨ormander’s space of distributions having a specified wavefront set Yoann Dabrowski1, Christian Brouder2 1 Institut Camille Jordan UMR 5208, Universit´ede Lyon, Universit´eLyon 1, 43 bd. du 11 novembre 1918, F-69622 Villeurbanne cedex, France 2 Institut de Min´eralogie, de Physique des Mat´eriaux et de Cosmochimie, Sorbonne Univer- sit´es, UMR CNRS 7590, UPMC Univ. Paris 06, Mus´eum National d’Histoire Naturelle, IRD UMR 206, 4 place Jussieu, F-75005 Paris, France. Received: date / Accepted: date ′ Abstract: The space Γ of distributions having their wavefront sets in a closed cone Γ has become importantD in physics because of its role in the formulation of quantum field theory in curved spacetime. -
Introduction Vectors in Function Spaces
Jim Lambers MAT 415/515 Fall Semester 2013-14 Lectures 1 and 2 Notes These notes correspond to Section 5.1 in the text. Introduction This course is about series solutions of ordinary differential equations (ODEs). Unlike ODEs covered in MAT 285, whose solutions can be expressed as linear combinations of n functions, where n is the order of the ODE, the ODEs discussed in this course have solutions that are expressed as infinite series of functions, similar to power series seen in MAT 169. This approach of representing solutions using infinite series provides the following benefits: • It allows solutions to be represented using simpler functions, particularly polynomials, than the exponential or trigonometric functions normally used to represent solutions in \closed form". This leads to more efficient evaluation of solutions on a computer or calculator. • It enables solution of ODEs with variable coefficients, as opposed to ODEs seen in MAT 285 that either had constant coefficients or were of a special form. • It facilitates approximation of solutions by polynomials, by truncating the infinite series after a certain number of terms, which in turn aids in understanding the qualitative behavior of solutions. The solution of ODEs via infinite series will lead to the definition of several families of special functions, such as Bessel functions or various kinds of orthogonal polynomials such as Legendre polynomials. Each family of special functions that we will see in this course has an orthogonality relation, which simplifies computations of coefficients in infinite series involving such functions. As n such, orthogonality is going to be an essential concept in this course. -
Composition Operators on Function Spaces with Fractional Order of Smoothness
Composition Operators on Function Spaces with Fractional Order of Smoothness Gérard Bourdaud & Winfried Sickel October 15, 2010 Abstract In this paper we will give an overview concerning properties of composition oper‐ ators T_{f}(g) :=f og in the framework of Besov‐Lizorkin‐Triebel spaces. Boundedness and continuity will be discussed in a certain detail. In addition we also give a list of open problems. 2000 Mathematics Subject Classification: 46\mathrm{E}35, 47\mathrm{H}30. Keywords: composition of functions, composition operator, Sobolev spaces, Besov spaces, Lizorkin‐Triebel spaces, Slobodeckij spaces, Bessel potential spaces, functions of bounded variation, Wiener classes, optimal inequalities. 1 Introduction Let E denote a normed of functions. : are space Composition operators T_{f} g\mapsto f\circ g, g\in E , simple examples of nonlinear mappings. It is a little bit surprising that the knowledge about these operators is rather limited. One reason is, of course, that the properties of T_{f} strongly depend on f and E . Here in this paper we are concerned with E being either a Besov or a Lizorkin‐Triebel space (for definitions of these classes we refer to the appendix at the end of this These scales of Sobolev Bessel article). spaces generalize spaces W_{p}^{m}(\mathbb{R}^{n}) , potential as well as Hölder in view of the spaces H_{p}^{s}(\mathbb{R}^{n}) , Slobodeckij spaces W_{p}^{s}(\mathbb{R}^{n}) spaces C^{s}(\mathbb{R}^{n}) identities m\in \mathbb{N} \bullet W_{p}^{m}(\mathbb{R}^{n})=F_{p,2}^{m}(\mathbb{R}^{n}) , 1<p<\infty, ; s\in \mathbb{R} \bullet H_{p}^{s}(\mathbb{R}^{n})=F_{p,2}^{s}(\mathbb{R}^{n}) , 1<p<\infty, ; 1 \bullet W_{p}^{s}(\mathbb{R}^{n})=F_{p,p}^{s}(\mathbb{R}^{n})=B_{p,p}^{s}(\mathbb{R}^{n}) , 1\leq p<\infty, s>0, s\not\in \mathbb{N} ; \bullet C^{s}(\mathbb{R}^{n})=B_{\infty,\infty}^{s}(\mathbb{R}^{n}) , s>0, s\not\in \mathbb{N}.