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Author: Bernardo Lafuerza Guillen
Publisher: World Scientific
ISBN: 1783264705
Category : Mathematics
Languages : en
Pages : 232
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Book Description
This book provides a comprehensive foundation in Probabilistic Normed (PN) Spaces for anyone conducting research in this field of mathematics and statistics. It is the first to fully discuss the developments and the open problems of this highly relevant topic, introduced by A N Serstnev in the early 1960s as a response to problems of best approximations in statistics. The theory was revived by Claudi Alsina, Bert Schweizer and Abe Sklar in 1993, who provided a new, wider definition of a PN space which quickly became the standard adopted by all researchers. This book is the first wholly up-to-date and thorough investigation of the properties, uses and applications of PN spaces, based on the standard definition. Topics covered include: What are PN spaces?The topology of PN spacesProbabilistic norms and convergenceProducts and quotients of PN spacesD-boundedness and D-compactnessNormabilityInvariant and semi-invariant PN spacesLinear operatorsStability of some functional equations in PN spacesMenger's 2-probabilistic normed spaces The theory of PN spaces is relevant as a generalization of deterministic results of linear normed spaces and also in the study of random operator equations. This introduction will therefore have broad relevance across mathematical and statistical research, especially those working in probabilistic functional analysis and probabilistic geometry. Contents:PreliminariesProbabilistic Normed SpacesThe Topology of PN SpacesProbabilistic Norms and ConvergenceProducts and Quotients of PN SpacesD-Boundedness and D-CompactnessNormabilityInvariant and Semi-Invariant PN SpacesLinear OperatorsStability of Some Functional Equations in PN SpacesMenger's 2-Probabilistic Normed Spaces Readership: Post graduate students and researchers in the field of Probabilistic Normed Spaces. Key Features:The theory of PN spaces is relevant as a generalization of deterministic results of linear normed spaces and also in the study of random operator equationsDeals with all the developed ideas in PN spacesA good reference book for post graduate students and researchers in this field as it identifies the developments and open problems in PN spacesKeywords:Probabilistic Normed Spaces;Normability in PN Spaces;D-Boundedness;D-Compactness;Topology in PN Spaces;Linear Operators in PN Spaces;Menger's 2-Probabilistic Normed Spaces;Invariant and Semi-Invariant PN SpacesReviews: “This book provides a good opportunity for scholars and students to get familiar with the theory of PN spaces and to acquire the basic knowledge in this field.” Zentralblatt MATH
Author: Bernardo Lafuerza Guillen
Publisher: World Scientific
ISBN: 1783264705
Category : Mathematics
Languages : en
Pages : 232
Get Book
Book Description
This book provides a comprehensive foundation in Probabilistic Normed (PN) Spaces for anyone conducting research in this field of mathematics and statistics. It is the first to fully discuss the developments and the open problems of this highly relevant topic, introduced by A N Serstnev in the early 1960s as a response to problems of best approximations in statistics. The theory was revived by Claudi Alsina, Bert Schweizer and Abe Sklar in 1993, who provided a new, wider definition of a PN space which quickly became the standard adopted by all researchers. This book is the first wholly up-to-date and thorough investigation of the properties, uses and applications of PN spaces, based on the standard definition. Topics covered include: What are PN spaces?The topology of PN spacesProbabilistic norms and convergenceProducts and quotients of PN spacesD-boundedness and D-compactnessNormabilityInvariant and semi-invariant PN spacesLinear operatorsStability of some functional equations in PN spacesMenger's 2-probabilistic normed spaces The theory of PN spaces is relevant as a generalization of deterministic results of linear normed spaces and also in the study of random operator equations. This introduction will therefore have broad relevance across mathematical and statistical research, especially those working in probabilistic functional analysis and probabilistic geometry. Contents:PreliminariesProbabilistic Normed SpacesThe Topology of PN SpacesProbabilistic Norms and ConvergenceProducts and Quotients of PN SpacesD-Boundedness and D-CompactnessNormabilityInvariant and Semi-Invariant PN SpacesLinear OperatorsStability of Some Functional Equations in PN SpacesMenger's 2-Probabilistic Normed Spaces Readership: Post graduate students and researchers in the field of Probabilistic Normed Spaces. Key Features:The theory of PN spaces is relevant as a generalization of deterministic results of linear normed spaces and also in the study of random operator equationsDeals with all the developed ideas in PN spacesA good reference book for post graduate students and researchers in this field as it identifies the developments and open problems in PN spacesKeywords:Probabilistic Normed Spaces;Normability in PN Spaces;D-Boundedness;D-Compactness;Topology in PN Spaces;Linear Operators in PN Spaces;Menger's 2-Probabilistic Normed Spaces;Invariant and Semi-Invariant PN SpacesReviews: “This book provides a good opportunity for scholars and students to get familiar with the theory of PN spaces and to acquire the basic knowledge in this field.” Zentralblatt MATH
Author: Bernardo Lafuerza Guillén
Publisher:
ISBN: 9781783264698
Category : MATHEMATICS
Languages : en
Pages : 233
Get Book
Book Description
This book provides a comprehensive foundation in Probabilistic Normed (PN) Spaces for anyone conducting research in this field of mathematics and statistics. It is the first to fully discuss the developments and the open problems of this highly relevant topic, introduced by A N Serstnev in the early 1960s as a response to problems of best approximations in statistics. The theory was revived by Claudi Alsina, Bert Schweizer and Abe Sklar in 1993, who provided a new, wider definition of a PN space which quickly became the standard adopted by all researchers. This book is the first wholly up-to-date and thorough investigation of the properties, uses and applications of PN spaces, based on the standard definition. Topics covered include:: What are PN spaces?; The topology of PN spaces; Probabilistic norms and convergence; Products and quotients of PN spaces; D -boundedness and D -compactness; Normability; Invariant and semi-invariant PN spaces; Linear operators; Stability of some functional equations in PN spaces; Menger''s 2-probabilistic normed spaces . The theory of PN spaces is relevant as a generalization of deterministic results of linear normed spaces and also in the study of random operator equations. This introduction will therefore have broad relevance across mathematical and statistical research, especially those working in probabilistic functional analysis and probabilistic geometry. Contents: Preliminaries; Probabilistic Normed Spaces; The Topology of PN Spaces; Probabilistic Norms and Convergence; Products and Quotients of PN Spaces; D -Boundedness and D -Compactness; Normability; Invariant and Semi-Invariant PN Spaces; Linear Operators; Stability of Some Functional Equations in PN Spaces; Menger''s 2-Probabilistic Normed Spaces. Readership: Post graduate students and researchers in the field of Probabilistic Normed Spaces. Key Features: The theory of PN spaces is relevant as a generalization of deterministic results of linear normed spaces and also in the study of random operator equations; Deals with all the developed ideas in PN spaces; A good reference book for post graduate students and researchers in this field as it identifies the developments and open problems in PN spaces
Author: B. Schweizer
Publisher: Courier Corporation
ISBN: 0486143759
Category : Mathematics
Languages : en
Pages : 354
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Book Description
This distinctly nonclassical treatment focuses on developing aspects that differ from the theory of ordinary metric spaces, working directly with probability distribution functions rather than random variables. The two-part treatment begins with an overview that discusses the theory's historical evolution, followed by a development of related mathematical machinery. The presentation defines all needed concepts, states all necessary results, and provides relevant proofs. The second part opens with definitions of probabilistic metric spaces and proceeds to examinations of special classes of probabilistic metric spaces, topologies, and several related structures, such as probabilistic normed and inner-product spaces. Throughout, the authors focus on developing aspects that differ from the theory of ordinary metric spaces, rather than simply transferring known metric space results to a more general setting.
Author: K.P. Hart
Publisher: Elsevier
ISBN: 9780080530864
Category : Mathematics
Languages : en
Pages : 536
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Book Description
This book is designed for the reader who wants to get a general view of the terminology of General Topology with minimal time and effort. The reader, whom we assume to have only a rudimentary knowledge of set theory, algebra and analysis, will be able to find what they want if they will properly use the index. However, this book contains very few proofs and the reader who wants to study more systematically will find sufficiently many references in the book. Key features: • More terms from General Topology than any other book ever published • Short and informative articles • Authors include the majority of top researchers in the field • Extensive indexing of terms
Author: Erich Peter Klement
Publisher: Springer Science & Business Media
ISBN: 9401595402
Category : Philosophy
Languages : en
Pages : 391
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Book Description
This book discusses the theory of triangular norms and surveys several applied fields in which triangular norms play a significant part: probabilistic metric spaces, aggregation operators, many-valued logics, fuzzy logics, sets and control, and non-additive measures together with their corresponding integrals. It includes many graphical illustrations and gives a well-balanced picture of theory and applications. It is for mathematicians, computer scientists, applied computer scientists and engineers.
Author: O. Hadzic
Publisher: Springer Science & Business Media
ISBN: 9401715602
Category : Mathematics
Languages : en
Pages : 279
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Book Description
Fixed point theory in probabilistic metric spaces can be considered as a part of Probabilistic Analysis, which is a very dynamic area of mathematical research. A primary aim of this monograph is to stimulate interest among scientists and students in this fascinating field. The text is self-contained for a reader with a modest knowledge of the metric fixed point theory. Several themes run through this book. The first is the theory of triangular norms (t-norms), which is closely related to fixed point theory in probabilistic metric spaces. Its recent development has had a strong influence upon the fixed point theory in probabilistic metric spaces. In Chapter 1 some basic properties of t-norms are presented and several special classes of t-norms are investigated. Chapter 2 is an overview of some basic definitions and examples from the theory of probabilistic metric spaces. Chapters 3, 4, and 5 deal with some single-valued and multi-valued probabilistic versions of the Banach contraction principle. In Chapter 6, some basic results in locally convex topological vector spaces are used and applied to fixed point theory in vector spaces. Audience: The book will be of value to graduate students, researchers, and applied mathematicians working in nonlinear analysis and probabilistic metric spaces.
Author: Shih-sen Chang
Publisher: Nova Publishers
ISBN: 9781560729808
Category : Mathematics
Languages : en
Pages : 358
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Book Description
The purpose of this book is to give a comprehensive introduction to the study of non-linear operator theory in probabilistic metric spaces. This book is introduced as a survey of the latest and new results on the following topics: Basic theory of probabilistic metric spaces; Fixed point theorems for single-valued and multi-valued mappings in probabilistic metric spaces; Ekeland's variational principle and Caristi's fixed point theorem in probabilistic metric spaces; Coincidence point theorems, minimisation and fixed degree theorems in probabilistic metric spaces; Probabilistic contractors, accretive mappings and topological degree in probabilistic normed spaces; Nonlinear semigroups and differential equations in probabilistic metric spaces; KKM theorems, minimax theorems and variational inequalities.
Author: Roman Vershynin
Publisher: Cambridge University Press
ISBN: 1108415199
Category : Business & Economics
Languages : en
Pages : 299
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Book Description
An integrated package of powerful probabilistic tools and key applications in modern mathematical data science.
Author: B. Schweizer
Publisher: Courier Corporation
ISBN: 0486445143
Category : Mathematics
Languages : en
Pages : 354
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Book Description
This distinctly nonclassical treatment focuses on developing aspects that differ from the theory of ordinary metric spaces, working directly with probability distribution functions rather than random variables. The two-part treatment begins with an overview that discusses the theory's historical evolution, followed by a development of related mathematical machinery. The presentation defines all needed concepts, states all necessary results, and provides relevant proofs. The second part opens with definitions of probabilistic metric spaces and proceeds to examinations of special classes of probabilistic metric spaces, topologies, and several related structures, such as probabilistic normed and inner-product spaces. Throughout, the authors focus on developing aspects that differ from the theory of ordinary metric spaces, rather than simply transferring known metric space results to a more general setting.
Author: Noga Alon
Publisher: John Wiley & Sons
ISBN: 1119062071
Category : Mathematics
Languages : en
Pages : 400
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Book Description
Praise for the Third Edition “Researchers of any kind of extremal combinatorics or theoretical computer science will welcome the new edition of this book.” - MAA Reviews Maintaining a standard of excellence that establishes The Probabilistic Method as the leading reference on probabilistic methods in combinatorics, the Fourth Edition continues to feature a clear writing style, illustrative examples, and illuminating exercises. The new edition includes numerous updates to reflect the most recent developments and advances in discrete mathematics and the connections to other areas in mathematics, theoretical computer science, and statistical physics. Emphasizing the methodology and techniques that enable problem-solving, The Probabilistic Method, Fourth Edition begins with a description of tools applied to probabilistic arguments, including basic techniques that use expectation and variance as well as the more advanced applications of martingales and correlation inequalities. The authors explore where probabilistic techniques have been applied successfully and also examine topical coverage such as discrepancy and random graphs, circuit complexity, computational geometry, and derandomization of randomized algorithms. Written by two well-known authorities in the field, the Fourth Edition features: Additional exercises throughout with hints and solutions to select problems in an appendix to help readers obtain a deeper understanding of the best methods and techniques New coverage on topics such as the Local Lemma, Six Standard Deviations result in Discrepancy Theory, Property B, and graph limits Updated sections to reflect major developments on the newest topics, discussions of the hypergraph container method, and many new references and improved results The Probabilistic Method, Fourth Edition is an ideal textbook for upper-undergraduate and graduate-level students majoring in mathematics, computer science, operations research, and statistics. The Fourth Edition is also an excellent reference for researchers and combinatorists who use probabilistic methods, discrete mathematics, and number theory. Noga Alon, PhD, is Baumritter Professor of Mathematics and Computer Science at Tel Aviv University. He is a member of the Israel National Academy of Sciences and Academia Europaea. A coeditor of the journal Random Structures and Algorithms, Dr. Alon is the recipient of the Polya Prize, The Gödel Prize, The Israel Prize, and the EMET Prize. Joel H. Spencer, PhD, is Professor of Mathematics and Computer Science at the Courant Institute of New York University. He is the cofounder and coeditor of the journal Random Structures and Algorithms and is a Sloane Foundation Fellow. Dr. Spencer has written more than 200 published articles and is the coauthor of Ramsey Theory, Second Edition, also published by Wiley.
