Advances in Analysis, Probability and Mathematical Physics

Advances in Analysis, Probability and Mathematical Physics
Author: Sergio Albeverio
Publisher: Springer Science & Business Media
Total Pages: 255
Release: 2013-03-14
Genre: Mathematics
ISBN: 9401584516

In 1961 Robinson introduced an entirely new version of the theory of infinitesimals, which he called `Nonstandard analysis'. `Nonstandard' here refers to the nature of new fields of numbers as defined by nonstandard models of the first-order theory of the reals. This system of numbers was closely related to the ring of Schmieden and Laugwitz, developed independently a few years earlier. During the last thirty years the use of nonstandard models in mathematics has taken its rightful place among the various methods employed by mathematicians. The contributions in this volume have been selected to present a panoramic view of the various directions in which nonstandard analysis is advancing, thus serving as a source of inspiration for future research. Papers have been grouped in sections dealing with analysis, topology and topological groups; probability theory; and mathematical physics. This volume can be used as a complementary text to courses in nonstandard analysis, and will be of interest to graduate students and researchers in both pure and applied mathematics and physics.

Stochastic Analysis and Mathematical Physics

Stochastic Analysis and Mathematical Physics
Author: A.B. Cruzeiro
Publisher: Springer Science & Business Media
Total Pages: 162
Release: 2012-12-06
Genre: Mathematics
ISBN: 1461201276

This volume represents the outgrowth of an ongoing workshop on stochastic analysis held in Lisbon. The nine survey articles in the volume extend concepts from classical probability and stochastic processes to a number of areas of mathematical physics. It is a good reference text for researchers and advanced students in the fields of probability, stochastic processes, analysis, geometry, mathematical physics, and physics. Key topics covered include: nonlinear stochastic wave equations, completely positive maps, Mehler-type semigroups on Hilbert spaces, entropic projections, and many others.

Analysis, Probability And Mathematical Physics On Fractals

Analysis, Probability And Mathematical Physics On Fractals
Author: Patricia Alonso Ruiz
Publisher: World Scientific
Total Pages: 594
Release: 2020-02-26
Genre: Mathematics
ISBN: 9811215545

In the 50 years since Mandelbrot identified the fractality of coastlines, mathematicians and physicists have developed a rich and beautiful theory describing the interplay between analytic, geometric and probabilistic aspects of the mathematics of fractals. Using classical and abstract analytic tools developed by Cantor, Hausdorff, and Sierpinski, they have sought to address fundamental questions: How can we measure the size of a fractal set? How do waves and heat travel on irregular structures? How are analysis, geometry and stochastic processes related in the absence of Euclidean smooth structure? What new physical phenomena arise in the fractal-like settings that are ubiquitous in nature?This book introduces background and recent progress on these problems, from both established leaders in the field and early career researchers. The book gives a broad introduction to several foundational techniques in fractal mathematics, while also introducing some specific new and significant results of interest to experts, such as that waves have infinite propagation speed on fractals. It contains sufficient introductory material that it can be read by new researchers or researchers from other areas who want to learn about fractal methods and results.

Mathematical Physics, Spectral Theory and Stochastic Analysis

Mathematical Physics, Spectral Theory and Stochastic Analysis
Author: Michael Demuth
Publisher: Springer Science & Business Media
Total Pages: 344
Release: 2014-07-08
Genre: Mathematics
ISBN: 3034805918

This volume presents self-contained survey articles on modern research areas written by experts in their fields. The topics are located at the interface of spectral theory, theory of partial differential operators, stochastic analysis, and mathematical physics. The articles are accessible to graduate students and researches from other fields of mathematics or physics while also being of value to experts, as they report on the state of the art in the respective fields.

Geometry, Analysis and Probability

Geometry, Analysis and Probability
Author: Jean-Benoît Bost
Publisher: Birkhäuser
Total Pages: 363
Release: 2017-04-26
Genre: Mathematics
ISBN: 3319496387

This volume presents original research articles and extended surveys related to the mathematical interest and work of Jean-Michel Bismut. His outstanding contributions to probability theory and global analysis on manifolds have had a profound impact on several branches of mathematics in the areas of control theory, mathematical physics and arithmetic geometry. Contributions by: K. Behrend N. Bergeron S. K. Donaldson J. Dubédat B. Duplantier G. Faltings E. Getzler G. Kings R. Mazzeo J. Millson C. Moeglin W. Müller R. Rhodes D. Rössler S. Sheffield A. Teleman G. Tian K-I. Yoshikawa H. Weiss W. Werner The collection is a valuable resource for graduate students and researchers in these fields.

Nonstandard Methods in Stochastic Analysis and Mathematical Physics

Nonstandard Methods in Stochastic Analysis and Mathematical Physics
Author: Sergio Albeverio
Publisher: Courier Dover Publications
Total Pages: 529
Release: 2009-02-26
Genre: Mathematics
ISBN: 0486468992

Two-part treatment begins with a self-contained introduction to the subject, followed by applications to stochastic analysis and mathematical physics. "A welcome addition." — Bulletin of the American Mathematical Society. 1986 edition.

Mathematical Analysis, Probability and Applications – Plenary Lectures

Mathematical Analysis, Probability and Applications – Plenary Lectures
Author: Tao Qian
Publisher: Springer
Total Pages: 335
Release: 2016-08-25
Genre: Mathematics
ISBN: 3319419455

This book collects lectures given by the plenary speakers at the 10th International ISAAC Congress, held in Macau, China in 2015. The contributions, authored by eminent specialists, present some of the most exciting recent developments in mathematical analysis, probability theory, and related applications. Topics include: partial differential equations in mathematical physics, Fourier analysis, probability and Brownian motion, numerical analysis, and reproducing kernels. The volume also presents a lecture on the visual exploration of complex functions using the domain coloring technique. Thanks to the accessible style used, readers only need a basic command of calculus.

Statistical Physics

Statistical Physics
Author: Josef Honerkamp
Publisher: Springer Science & Business Media
Total Pages: 557
Release: 2012-06-19
Genre: Science
ISBN: 3642286844

The application of statistical methods to physics is essential. This unique book on statistical physics offers an advanced approach with numerous applications to the modern problems students are confronted with. Therefore the text contains more concepts and methods in statistics than the student would need for statistical mechanics alone. Methods from mathematical statistics and stochastics for the analysis of data are discussed as well. The book is divided into two parts, focusing first on the modeling of statistical systems and then on the analysis of these systems. Problems with hints for solution help the students to deepen their knowledge. The third edition has been updated and enlarged with new sections deepening the knowledge about data analysis. Moreover, a customized set of problems with solutions is accessible on the Web at extras.springer.com.

Spectral Analysis of Growing Graphs

Spectral Analysis of Growing Graphs
Author: Nobuaki Obata
Publisher: Springer
Total Pages: 141
Release: 2017-02-17
Genre: Science
ISBN: 9811035067

This book is designed as a concise introduction to the recent achievements on spectral analysis of graphs or networks from the point of view of quantum (or non-commutative) probability theory. The main topics are spectral distributions of the adjacency matrices of finite or infinite graphs and their limit distributions for growing graphs. The main vehicle is quantum probability, an algebraic extension of the traditional probability theory, which provides a new framework for the analysis of adjacency matrices revealing their non-commutative nature. For example, the method of quantum decomposition makes it possible to study spectral distributions by means of interacting Fock spaces or equivalently by orthogonal polynomials. Various concepts of independence in quantum probability and corresponding central limit theorems are used for the asymptotic study of spectral distributions for product graphs.This book is written for researchers, teachers, and students interested in graph spectra, their (asymptotic) spectral distributions, and various ideas and methods on the basis of quantum probability. It is also useful for a quick introduction to quantum probability and for an analytic basis of orthogonal polynomials.