On the Cardinality of a Topological Space
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Implementation of Bourbaki's Elements of Mathematics in Coq
Implementation of Bourbaki’s Elements of Mathematics in Coq: Part Two, From Natural Numbers to Real Numbers JOSÉ GRIMM Inria Sophia-Antipolis, Marelle Team Email: [email protected] This paper describes a formalization of the rst book of the series Elements of Mathematics by Nicolas Bourbaki, using the Coq proof assistant. In a rst paper published in this journal, we presented the axioms and basic constructions (corresponding to a part of the rst two chapters of book I, Theory of sets). We discuss here the set of integers (third chapter of book I, theory of set), the sets Z and Q (rst chapter of book II, Algebra) and the set of real numbers (Chapter 4 of book III, General topology). We start with a comparison of the Bourbaki approach, the Coq standard library, and the Ssreect library, then present our implementation. 1. INTRODUCTION 1.1 The Number Sets This paper is the second in a series that explains our work on a project (named Gaia), whose aim is to formalize, on a computer, the fundamental notions of math- ematics. We have chosen the “Elements of Mathematics” of Bourbaki as our guide- line, the Coq proof assistant as tool, and ssreflect as proof language. As ex- plained in the first paper [Gri10], our implementation relies on the theory of sets, rather than a theory of types. In this paper we focus on the construction of some sets of numbers. Starting with the set of integers N (which is an additive monoid), one can define Z as its group of differences (this is a ring), then Q as its field of fractions (this is naturally a topological space), then R, the topological completion (that happens to be an Archimedean field); next comes the algebraic closure C of R. -
Algebra I Chapter 1. Basic Facts from Set Theory 1.1 Glossary of Abbreviations
Notes: c F.P. Greenleaf, 2000-2014 v43-s14sets.tex (version 1/1/2014) Algebra I Chapter 1. Basic Facts from Set Theory 1.1 Glossary of abbreviations. Below we list some standard math symbols that will be used as shorthand abbreviations throughout this course. means “for all; for every” • ∀ means “there exists (at least one)” • ∃ ! means “there exists exactly one” • ∃ s.t. means “such that” • = means “implies” • ⇒ means “if and only if” • ⇐⇒ x A means “the point x belongs to a set A;” x / A means “x is not in A” • ∈ ∈ N denotes the set of natural numbers (counting numbers) 1, 2, 3, • · · · Z denotes the set of all integers (positive, negative or zero) • Q denotes the set of rational numbers • R denotes the set of real numbers • C denotes the set of complex numbers • x A : P (x) If A is a set, this denotes the subset of elements x in A such that •statement { ∈ P (x)} is true. As examples of the last notation for specifying subsets: x R : x2 +1 2 = ( , 1] [1, ) { ∈ ≥ } −∞ − ∪ ∞ x R : x2 +1=0 = { ∈ } ∅ z C : z2 +1=0 = +i, i where i = √ 1 { ∈ } { − } − 1.2 Basic facts from set theory. Next we review the basic definitions and notations of set theory, which will be used throughout our discussions of algebra. denotes the empty set, the set with nothing in it • ∅ x A means that the point x belongs to a set A, or that x is an element of A. • ∈ A B means A is a subset of B – i.e. -
Set-Theoretic and Algebraic Properties of Certain Families of Real Functions
Set-theoretic and Algebraic Properties of Certain Families of Real Functions Krzysztof PÃlotka Dissertation submitted to the Eberly College of Arts and Sciences at West Virginia University in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Mathematics Krzysztof Chris Ciesielski, Ph.D., Chair Dening Li, Ph.D. Magdalena Niewiadomska-Bugaj, Ph.D. Jerzy Wojciechowski, Ph.D. Cun-Quan Zhang, Ph.D. Department of Mathematics Morgantown, West Virginia 2001 Keywords: Darboux-like, Hamel, Sierpi´nski-Zygmund functions; Martin’s Axiom Copyright °c 2001 Krzysztof PÃlotka ABSTRACT Set-theoretic and Algebraic Properties of Certain Families of Real Functions Krzysztof PÃlotka Given two families of real functions F1 and F2 we consider the following question: can every real function f be represented as f = f1 +f2, where f1 and f2 belong to F1 and F2, respectively? This question leads to the definition of the cardinal function Add: Add(F1; F2) is the smallest cardinality of a family F of functions for which there is no function g in F1 such that g + F is contained in F2. This work is devoted entirely to the study of the function Add for different pairs of families of real functions. We focus on the classes that are related to the additive properties and generalized continuity. Chapter 2 deals with the classes related to the generalized continuity. In particu- lar, we show that Martin’s Axiom (MA) implies Add(D,SZ) is infinite and Add(SZ,D) equals to the cardinality of the set of all real numbers. SZ and D denote the families of Sierpi´nski-Zygmund and Darboux functions, respectively. -
The Non-Hausdorff Number of a Topological Space
THE NON-HAUSDORFF NUMBER OF A TOPOLOGICAL SPACE IVAN S. GOTCHEV Abstract. We call a non-empty subset A of a topological space X finitely non-Hausdorff if for every non-empty finite subset F of A and every family fUx : x 2 F g of open neighborhoods Ux of x 2 F , \fUx : x 2 F g 6= ; and we define the non-Hausdorff number nh(X) of X as follows: nh(X) := 1 + supfjAj : A is a finitely non-Hausdorff subset of Xg. Using this new cardinal function we show that the following three inequalities are true for every topological space X d(X) (i) jXj ≤ 22 · nh(X); 2d(X) (ii) w(X) ≤ 2(2 ·nh(X)); (iii) jXj ≤ d(X)χ(X) · nh(X) and (iv) jXj ≤ nh(X)χ(X)L(X) is true for every T1-topological space X, where d(X) is the density, w(X) is the weight, χ(X) is the character and L(X) is the Lindel¨ofdegree of the space X. The first three inequalities extend to the class of all topological spaces d(X) Pospiˇsil'sinequalities that for every Hausdorff space X, jXj ≤ 22 , 2d(X) w(X) ≤ 22 and jXj ≤ d(X)χ(X). The fourth inequality generalizes 0 to the class of all T1-spaces Arhangel ski˘ı’s inequality that for every Hausdorff space X, jXj ≤ 2χ(X)L(X). It is still an open question if 0 Arhangel ski˘ı’sinequality is true for all T1-spaces. It follows from (iv) that the answer of this question is in the afirmative for all T1-spaces with nh(X) not greater than the cardianilty of the continuum. -
Six Strategies for Defeating the Runge Phenomenon in Gaussian Radial Basis Functions on a Finite Interval✩ John P
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Computers and Mathematics with Applications 60 (2010) 3108–3122 Contents lists available at ScienceDirect Computers and Mathematics with Applications journal homepage: www.elsevier.com/locate/camwa Six strategies for defeating the Runge Phenomenon in Gaussian radial basis functions on a finite intervalI John P. Boyd Department of Atmospheric, Oceanic and Space Science, University of Michigan, 2455 Hayward Avenue, Ann Arbor MI 48109, United States article info a b s t r a c t Article history: Radial basis function (RBF) interpolation is a ``meshless'' strategy with great promise for Received 19 August 2010 adaptive approximation. Because it is meshless, there is no canonical grid to act as a starting Accepted 5 October 2010 point for function-adaptive grid modification. Uniform grids are therefore common with RBFs. Like polynomial interpolation, which is the limit of RBF interpolation when the RBF Keywords: functions are very wide (the ``flat limit''), RBF interpolants are vulnerable to the Runge Radial basis function Phenomenon, whether the grid is uniform or irregular: the N-point interpolant may diverge Runge Phenomenon as N ! 1 on the interval spanned by the interpolation points even for a function f .x/ that is analytic everywhere on and near this interval. In this work, we discuss six strategies for defeating the Runge Phenomenon, specializing to a uniform grid on a finite interval and one particular species of RBFs in one space dimension: φ.x/ D exp.−[α2=h2Ux2/ where h is the grid spacing. -
Cardinal Functions for ¿-Spaces 357
PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 68, Number 3, March 1978 CARDINALFUNCTIONS FOR ¿-SPACES JAMES R. BOONE, SHELDON W. DAVIS AND GARY GRUENHAGE Abstract. In this paper, four cardinal functions are defined on the class of fc-spaces. Some of the relationships between these cardinal functions are studied. Characterizations of various ¿-spaces are presented in terms of the existence of these cardinal functions. A bound for the ordinal invariant k of Arhangelskii and Franklin is established in terms of the tightness of the space. Examples are presented which exhibit the interaction between these cardinal invariants and the ordinal invariants of Arhangelskii and Franklin. 1. Introduction. The class of ¿-spaces, introduced by Arens [1], has become a widely used class of topological spaces, both because of their intrinsic interest and because they provide a natural category of spaces in which to study a variety of other topological problems. The ¿-spaces are precisely those spaces which are the quotient spaces of locally compact spaces. In particular, X is a k-space provided: H is closed in X if and only if H n K is closed in K, for each compact set K. That is, X has the weak topology induced by the collection of compact subspaces. Franklin [5] initiated the study of a restricted class of ¿-spaces, called sequential spaces. This is the class of ¿-spaces in which the weak topology is induced by the collection of convergent sequences. If A c X, let k c\(A) be the set of all points/? such that p E c\K(A n K) for some compact set K, and let s cl(A) be the set of all points/» such that there exists a sequence in A that converges top. -
Ergodicity and Metric Transitivity
Chapter 25 Ergodicity and Metric Transitivity Section 25.1 explains the ideas of ergodicity (roughly, there is only one invariant set of positive measure) and metric transivity (roughly, the system has a positive probability of going from any- where to anywhere), and why they are (almost) the same. Section 25.2 gives some examples of ergodic systems. Section 25.3 deduces some consequences of ergodicity, most im- portantly that time averages have deterministic limits ( 25.3.1), and an asymptotic approach to independence between even§ts at widely separated times ( 25.3.2), admittedly in a very weak sense. § 25.1 Metric Transitivity Definition 341 (Ergodic Systems, Processes, Measures and Transfor- mations) A dynamical system Ξ, , µ, T is ergodic, or an ergodic system or an ergodic process when µ(C) = 0 orXµ(C) = 1 for every T -invariant set C. µ is called a T -ergodic measure, and T is called a µ-ergodic transformation, or just an ergodic measure and ergodic transformation, respectively. Remark: Most authorities require a µ-ergodic transformation to also be measure-preserving for µ. But (Corollary 54) measure-preserving transforma- tions are necessarily stationary, and we want to minimize our stationarity as- sumptions. So what most books call “ergodic”, we have to qualify as “stationary and ergodic”. (Conversely, when other people talk about processes being “sta- tionary and ergodic”, they mean “stationary with only one ergodic component”; but of that, more later. Definition 342 (Metric Transitivity) A dynamical system is metrically tran- sitive, metrically indecomposable, or irreducible when, for any two sets A, B n ∈ , if µ(A), µ(B) > 0, there exists an n such that µ(T − A B) > 0. -
POINT-COFINITE COVERS in the LAVER MODEL 1. Background Let
PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 138, Number 9, September 2010, Pages 3313–3321 S 0002-9939(10)10407-9 Article electronically published on April 30, 2010 POINT-COFINITE COVERS IN THE LAVER MODEL ARNOLD W. MILLER AND BOAZ TSABAN (Communicated by Julia Knight) Abstract. Let S1(Γ, Γ) be the statement: For each sequence of point-cofinite open covers, one can pick one element from each cover and obtain a point- cofinite cover. b is the minimal cardinality of a set of reals not satisfying S1(Γ, Γ). We prove the following assertions: (1) If there is an unbounded tower, then there are sets of reals of cardinality b satisfying S1(Γ, Γ). (2) It is consistent that all sets of reals satisfying S1(Γ, Γ) have cardinality smaller than b. These results can also be formulated as dealing with Arhangel’ski˘ı’s property α2 for spaces of continuous real-valued functions. The main technical result is that in Laver’s model, each set of reals of cardinality b has an unbounded Borel image in the Baire space ωω. 1. Background Let P be a nontrivial property of sets of reals. The critical cardinality of P , denoted non(P ), is the minimal cardinality of a set of reals not satisfying P .A natural question is whether there is a set of reals of cardinality at least non(P ), which satisfies P , i.e., a nontrivial example. We consider the following property. Let X be a set of reals. U is a point-cofinite cover of X if U is infinite, and for each x ∈ X, {U ∈U: x ∈ U} is a cofinite subset of U.1 Having X fixed in the background, let Γ be the family of all point- cofinite open covers of X. -
A TEXTBOOK of TOPOLOGY Lltld
SEIFERT AND THRELFALL: A TEXTBOOK OF TOPOLOGY lltld SEI FER T: 7'0PO 1.OG 1' 0 I.' 3- Dl M E N SI 0 N A I. FIRERED SPACES This is a volume in PURE AND APPLIED MATHEMATICS A Series of Monographs and Textbooks Editors: SAMUELEILENBERG AND HYMANBASS A list of recent titles in this series appears at the end of this volunie. SEIFERT AND THRELFALL: A TEXTBOOK OF TOPOLOGY H. SEIFERT and W. THRELFALL Translated by Michael A. Goldman und S E I FE R T: TOPOLOGY OF 3-DIMENSIONAL FIBERED SPACES H. SEIFERT Translated by Wolfgang Heil Edited by Joan S. Birman and Julian Eisner @ 1980 ACADEMIC PRESS A Subsidiary of Harcourr Brace Jovanovich, Publishers NEW YORK LONDON TORONTO SYDNEY SAN FRANCISCO COPYRIGHT@ 1980, BY ACADEMICPRESS, INC. ALL RIGHTS RESERVED. NO PART OF THIS PUBLICATION MAY BE REPRODUCED OR TRANSMITTED IN ANY FORM OR BY ANY MEANS, ELECTRONIC OR MECHANICAL, INCLUDING PHOTOCOPY, RECORDING, OR ANY INFORMATION STORAGE AND RETRIEVAL SYSTEM, WITHOUT PERMISSION IN WRITING FROM THE PUBLISHER. ACADEMIC PRESS, INC. 11 1 Fifth Avenue, New York. New York 10003 United Kingdom Edition published by ACADEMIC PRESS, INC. (LONDON) LTD. 24/28 Oval Road, London NWI 7DX Mit Genehmigung des Verlager B. G. Teubner, Stuttgart, veranstaltete, akin autorisierte englische Ubersetzung, der deutschen Originalausgdbe. Library of Congress Cataloging in Publication Data Seifert, Herbert, 1897- Seifert and Threlfall: A textbook of topology. Seifert: Topology of 3-dimensional fibered spaces. (Pure and applied mathematics, a series of mono- graphs and textbooks ; ) Translation of Lehrbuch der Topologic. Bibliography: p. Includes index. 1. -
The Hardness of the Hidden Subset Sum Problem and Its Cryptographic Implications
The Hardness of the Hidden Subset Sum Problem and Its Cryptographic Implications Phong Nguyen and Jacques Stern Ecole´ Normale Sup´erieure Laboratoire d’Informatique 45 rue d’Ulm, 75230 Paris Cedex 05 France fPhong.Nguyen,[email protected] http://www.dmi.ens.fr/~fpnguyen,sterng/ Abstract. At Eurocrypt’98, Boyko, Peinado and Venkatesan presented simple and very fast methods for generating randomly distributed pairs of the form (x; gx mod p) using precomputation. The security of these methods relied on the potential hardness of a new problem, the so-called hidden subset sum problem. Surprisingly, apart from exhaustive search, no algorithm to solve this problem was known. In this paper, we exhibit a security criterion for the hidden subset sum problem, and discuss its implications on the practicability of the precomputation schemes. Our results are twofold. On the one hand, we present an efficient lattice-based attack which is expected to succeed if and only if the parameters satisfy a particular condition that we make explicit. Experiments have validated the theoretical analysis, and show the limitations of the precomputa- tion methods. For instance, any realistic smart-card implementation of Schnorr’s identification scheme using these precomputations methods is either vulnerable to the attack, or less efficient than with traditional pre- computation methods. On the other hand, we show that, when another condition is satisfied, the pseudo-random generator based on the hidden subset sum problem is strong in some precise sense which includes at- tacks via lattice reduction. Namely, using the discrete Fourier transform, we prove that the distribution of the generator’s output is indistinguish- able from the uniform distribution. -
A Cardinal Function on the Category of Metric Spaces 1
International Journal of Contemporary Mathematical Sciences Vol. 9, 2014, no. 15, 703 - 713 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/10.12988/ijcms.2014.4442 A Cardinal Function on the Category of Metric Spaces Fatemah Ayatollah Zadeh Shirazi Faculty of Mathematics, Statistics and Computer Science, College of Science University of Tehran, Enghelab Ave., Tehran, Iran Zakieh Farabi Khanghahi Department of Mathematics, Faculty of Mathematical Sciences University of Mazandaran, Babolsar, Iran Copyright c 2014 Fatemah Ayatollah Zadeh Shirazi and Zakieh Farabi Khanghahi. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract In the following text in the metric spaces category we introduce a topologically invariant cardinal function, Θ (clearly Θ is a tool to classify metric spaces). For this aim in metric space X we consider cone metrics (X; H; P; ρ) such that H is a Hilbert space, image of ρ has nonempty interior, and this cone metric induces the original metric topology on X. We prove that for all sufficiently large cardinal numbers α, there exists a metric space (X; d) with Θ(X; d) = α. Mathematics Subject Classification: 54E35, 46B99 Keywords: cone, cone metric order, Fp−cone metric order, Hilbert space, Hilbert-cone metric order, metric space, solid cone 1 Introduction As it has been mentioned in several texts, cone metric spaces in the following form has been introduced for the first time in [9] as a generalization of metric 704 F. Ayatollah Zadeh Shirazi and Z. -
Composite Subset Measures
Composite Subset Measures Lei Chen1, Raghu Ramakrishnan1,2, Paul Barford1, Bee-Chung Chen1, Vinod Yegneswaran1 1 Computer Sciences Department, University of Wisconsin, Madison, WI, USA 2 Yahoo! Research, Santa Clara, CA, USA {chenl, pb, beechung, vinod}@cs.wisc.edu [email protected] ABSTRACT into a hierarchy, leading to a very natural notion of multidimen- Measures are numeric summaries of a collection of data records sional regions. Each region represents a data subset. Summarizing produced by applying aggregation functions. Summarizing a col- the records that belong to a region by applying an aggregate opera- lection of subsets of a large dataset, by computing a measure for tor, such as SUM, to a measure attribute (thereby computing a new each subset in the (typically, user-specified) collection is a funda- measure that is associated with the entire region) is a fundamental mental problem. The multidimensional data model, which treats operation in OLAP. records as points in a space defined by dimension attributes, offers Often, however, more sophisticated analysis can be carried out a natural space of data subsets to be considered as summarization based on the computed measures, e.g., identifying regions with candidates, and traditional SQL and OLAP constructs, such as abnormally high measures. For such analyses, it is necessary to GROUP BY and CUBE, allow us to compute measures for subsets compute the measure for a region by also considering other re- drawn from this space. However, GROUP BY only allows us to gions (which are, intuitively, “related” to the given region) and summarize a limited collection of subsets, and CUBE summarizes their measures.