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The Riemann Hilbert Approach To Obtain Strong Asymptotics For Orthogonal Polynomials And Universality In Random Matric Theory
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Book Synopsis The Riemann-Hilbert Approach to Obtain Strong Asymptotics for Orthogonal Polynomials and Universality in Random Matric Theory by : Maarten Vanlessen
Download or read book The Riemann-Hilbert Approach to Obtain Strong Asymptotics for Orthogonal Polynomials and Universality in Random Matric Theory written by Maarten Vanlessen and published by . This book was released on 2003 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Matrix Riemann-Hilbert Problem Approach to the Strong Asymptotics of Orthogonal Polynomials with Respect to a Complex Weight by : A. I. Aptekarev
Download or read book A Matrix Riemann-Hilbert Problem Approach to the Strong Asymptotics of Orthogonal Polynomials with Respect to a Complex Weight written by A. I. Aptekarev and published by . This book was released on 2001 with total page 14 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Painlevé Transcendents by : Athanassios S. Fokas
Download or read book Painlevé Transcendents written by Athanassios S. Fokas and published by American Mathematical Society. This book was released on 2023-11-20 with total page 570 pages. Available in PDF, EPUB and Kindle. Book excerpt: At the turn of the twentieth century, the French mathematician Paul Painlevé and his students classified second order nonlinear ordinary differential equations with the property that the location of possible branch points and essential singularities of their solutions does not depend on initial conditions. It turned out that there are only six such equations (up to natural equivalence), which later became known as Painlevé I–VI. Although these equations were initially obtained answering a strictly mathematical question, they appeared later in an astonishing (and growing) range of applications, including, e.g., statistical physics, fluid mechanics, random matrices, and orthogonal polynomials. Actually, it is now becoming clear that the Painlevé transcendents (i.e., the solutions of the Painlevé equations) play the same role in nonlinear mathematical physics that the classical special functions, such as Airy and Bessel functions, play in linear physics. The explicit formulas relating the asymptotic behaviour of the classical special functions at different critical points play a crucial role in the applications of these functions. It is shown in this book that even though the six Painlevé equations are nonlinear, it is still possible, using a new technique called the Riemann-Hilbert formalism, to obtain analogous explicit formulas for the Painlevé transcendents. This striking fact, apparently unknown to Painlevé and his contemporaries, is the key ingredient for the remarkable applicability of these “nonlinear special functions”. The book describes in detail the Riemann-Hilbert method and emphasizes its close connection to classical monodromy theory of linear equations as well as to modern theory of integrable systems. In addition, the book contains an ample collection of material concerning the asymptotics of the Painlevé functions and their various applications, which makes it a good reference source for everyone working in the theory and applications of Painlevé equations and related areas.
Book Synopsis Random Matrices, Random Processes and Integrable Systems by : John Harnad
Download or read book Random Matrices, Random Processes and Integrable Systems written by John Harnad and published by Springer Science & Business Media. This book was released on 2011-05-06 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the remarkable connections between two domains that, a priori, seem unrelated: Random matrices (together with associated random processes) and integrable systems. The relations between random matrix models and the theory of classical integrable systems have long been studied. These appear mainly in the deformation theory, when parameters characterizing the measures or the domain of localization of the eigenvalues are varied. The resulting differential equations determining the partition function and correlation functions are, remarkably, of the same type as certain equations appearing in the theory of integrable systems. They may be analyzed effectively through methods based upon the Riemann-Hilbert problem of analytic function theory and by related approaches to the study of nonlinear asymptotics in the large N limit. Associated with studies of matrix models are certain stochastic processes, the "Dyson processes", and their continuum diffusion limits, which govern the spectrum in random matrix ensembles, and may also be studied by related methods. Random Matrices, Random Processes and Integrable Systems provides an in-depth examination of random matrices with applications over a vast variety of domains, including multivariate statistics, random growth models, and many others. Leaders in the field apply the theory of integrable systems to the solution of fundamental problems in random systems and processes using an interdisciplinary approach that sheds new light on a dynamic topic of current research.
Book Synopsis Current Trends In Operator Theory And Its Applications by : Joseph A. Ball
Download or read book Current Trends In Operator Theory And Its Applications written by Joseph A. Ball and published by Springer Science & Business Media. This book was released on 2004-05-25 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many developments on the cutting edge of research in operator theory and its applications, and related areas of mathematics, are reflected in this collection of original and review articles. Particular emphasis lies on the applications of operator theory to basic problems in distributed parameter systems, mathematical physics, wavelets, and numerical analysis. Review articles include a report on recent achievements and future directions of research in the area of operator theory and its diverse applications. The intended audience is researchers and graduate students in mathematics, physics, and electrical engineering.
Book Synopsis Skew-orthogonal Polynomials and Random Matrix Theory by : Saugata Ghosh
Download or read book Skew-orthogonal Polynomials and Random Matrix Theory written by Saugata Ghosh and published by American Mathematical Soc.. This book was released on with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Orthogonal polynomials satisfy a three-term recursion relation irrespective of the weight function with respect to which they are defined. This gives a simple formula for the kernel function, known in the literature as the Christoffel-Darboux sum. The availability of asymptotic results of orthogonal polynomials and the simple structure of the Christoffel-Darboux sum make the study of unitary ensembles of random matrices relatively straightforward. In this book, the author develops the theory of skew-orthogonal polynomials and obtains recursion relations which, unlike orthogonal polynomials, depend on weight functions. After deriving reduced expressions, called the generalized Christoffel-Darboux formulas (GCD), he obtains universal correlation functions and non-universal level densities for a wide class of random matrix ensembles using the GCD. The author also shows that once questions about higher order effects are considered (questions that are relevant in different branches of physics and mathematics) the use of the GCD promises to be efficient. Titles in this series are co-published with the Centre de Recherches Mathématiques."--Publisher's website.
Book Synopsis A Scalar Riemann Problem Approach to the Strong Asymptotics of Pad'e Approximants and Orthogonal Polynomials by : A. I. Aptekarev
Download or read book A Scalar Riemann Problem Approach to the Strong Asymptotics of Pad'e Approximants and Orthogonal Polynomials written by A. I. Aptekarev and published by . This book was released on 2001 with total page 22 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Asymptotic Theory for Large Random Matrices and Its Applications by : Jun Yan (Researcher in random matrix theory)
Download or read book Asymptotic Theory for Large Random Matrices and Its Applications written by Jun Yan (Researcher in random matrix theory) and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Random matrix theory has a long history. It was first introduced in mathematical statistics by John Wishart in 1928, and it gained attention during the 1950s due to work by Eugene Wigner studying the distribution of nuclear energy levels. A large number of physicists and mathematicians have been fascinated by random matrix theory, and after decades of study, it has matured into a field with applications in many branches of physics and mathematics. Nowadays, the subject is still very much alive with new and exciting research. Much of my PhD work has revolved around the study of random matrix theory. This dissertation gives a tour of my work on asymptotic theory of large random matrices and its applications in statistics, probability, and the theory of orthogonal polynomials, respectively.
Book Synopsis The Riemann-Hilbert Problem by : D. V. Anosov
Download or read book The Riemann-Hilbert Problem written by D. V. Anosov and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Riemann-Hilbert problem (Hilbert's 21st problem) belongs to the theory of linear systems of ordinary differential equations in the complex domain. The problem concerns the existence of a Fuchsian system with prescribed singularities and monodromy. Hilbert was convinced that such a system always exists. However, this turned out to be a rare case of a wrong forecast made by him. In 1989 the second author (A. B.) discovered a counterexample, thus obtaining a negative solution to Hilbert's 21st problem in its original form.
Book Synopsis Global Asymptotics of Hermite Polynomials Via Riemann-Hilbert Approach by : 張侖
Download or read book Global Asymptotics of Hermite Polynomials Via Riemann-Hilbert Approach written by 張侖 and published by . This book was released on 2006 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Random Matrices And Random Partitions: Normal Convergence by : Zhonggen Su
Download or read book Random Matrices And Random Partitions: Normal Convergence written by Zhonggen Su and published by World Scientific. This book was released on 2015-04-20 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is aimed at graduate students and researchers who are interested in the probability limit theory of random matrices and random partitions. It mainly consists of three parts. Part I is a brief review of classical central limit theorems for sums of independent random variables, martingale differences sequences and Markov chains, etc. These classical theorems are frequently used in the study of random matrices and random partitions. Part II concentrates on the asymptotic distribution theory of Circular Unitary Ensemble and Gaussian Unitary Ensemble, which are prototypes of random matrix theory. It turns out that the classical central limit theorems and methods are applicable in describing asymptotic distributions of various eigenvalue statistics. This is attributed to the nice algebraic structures of models. This part also studies the Circular β Ensembles and Hermitian β Ensembles. Part III is devoted to the study of random uniform and Plancherel partitions. There is a surprising similarity between random matrices and random integer partitions from the viewpoint of asymptotic distribution theory, though it is difficult to find any direct link between the two finite models. A remarkable point is the conditioning argument in each model. Through enlarging the probability space, we run into independent geometric random variables as well as determinantal point processes with discrete Bessel kernels.This book treats only second-order normal fluctuations for primary random variables from two classes of special random models. It is written in a clear, concise and pedagogical way. It may be read as an introductory text to further study probability theory of general random matrices, random partitions and even random point processes.
Book Synopsis Riemann-Hilbert Methods in General Relativity and Random Matrix Theory by :
Download or read book Riemann-Hilbert Methods in General Relativity and Random Matrix Theory written by and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Riemann-Hilbert Problems, Their Numerical Solution and the Computation of Nonlinear Special Functions by : Thomas D. Trogdon
Download or read book Riemann-Hilbert Problems, Their Numerical Solution and the Computation of Nonlinear Special Functions written by Thomas D. Trogdon and published by . This book was released on 2013 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: The computation of special functions has important implications throughout engineering and the physical sciences. Nonlinear special functions include the solutions of integrable partial differential equations and the Painleve transcendents. Many problems in water wave theory, nonlinear optics and statistical mechanics are reduced to the study of a nonlinear special function in particular limits. The universal object that these functions share is a Riemann-Hilbert representation: the nonlinear special function can be recovered from the solution of a Riemann-Hilbert problem (RHP). A RHP consists of finding a piecewise-analytic function in the complex plane when the behavior of its discontinuities is specified. In this dissertation, the applied theory of Riemann-Hilbert problems, using both Holder and Lebesgue spaces, is reviewed. The numerical solution of RHPs is discussed. Furthermore, the uniform approximation theory for the numerical solution of RHPs is presented, proving that in certain cases the convergence of the numerical method is uniform with respect to a parameter. This theory shares close relation to the method of nonlinear steepest descent for RHPs. The inverse scattering transform for the Korteweg-de Vries and Nonlinear Schroedinger equation is made effective by solving the associated RHPs numerically. This technique is extended to solve the Painleve II equation numerically. Similar Riemann-Hilbert techniques are used to compute the so-called finite-genus solutions of the Korteweg-de Vries equation. This involves ideas from Riemann surface theory. Finally, the methodology is applied to compute orthogonal polynomials with exponential weights. This allows for the computation of statistical quantities stemming from random matrix ensembles.
Book Synopsis A Dynamical Approach to Random Matrix Theory by : László Erdős
Download or read book A Dynamical Approach to Random Matrix Theory written by László Erdős and published by American Mathematical Soc.. This book was released on 2017-08-30 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: A co-publication of the AMS and the Courant Institute of Mathematical Sciences at New York University This book is a concise and self-contained introduction of recent techniques to prove local spectral universality for large random matrices. Random matrix theory is a fast expanding research area, and this book mainly focuses on the methods that the authors participated in developing over the past few years. Many other interesting topics are not included, and neither are several new developments within the framework of these methods. The authors have chosen instead to present key concepts that they believe are the core of these methods and should be relevant for future applications. They keep technicalities to a minimum to make the book accessible to graduate students. With this in mind, they include in this book the basic notions and tools for high-dimensional analysis, such as large deviation, entropy, Dirichlet form, and the logarithmic Sobolev inequality. This manuscript has been developed and continuously improved over the last five years. The authors have taught this material in several regular graduate courses at Harvard, Munich, and Vienna, in addition to various summer schools and short courses. Titles in this series are co-published with the Courant Institute of Mathematical Sciences at New York University.
Book Synopsis Riemann-Hilbert Approach to Gap Probabilities of Determinantal Point Processes by : Manuela Girotti
Download or read book Riemann-Hilbert Approach to Gap Probabilities of Determinantal Point Processes written by Manuela Girotti and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Aspects of Mathematics written by and published by . This book was released on 1981 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Riemann-Hilbert Problem by : D. V. Anosov
Download or read book The Riemann-Hilbert Problem written by D. V. Anosov and published by . This book was released on 1994 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt:
