Invariant Representations of $\mathrm {GSp}(2)$ under Tensor Product with a Quadratic Character PDF Download
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Author: Ping-Shun Chan
Publisher: American Mathematical Soc.
ISBN: 0821848224
Category : Automorphisms
Languages : en
Pages : 185
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Book Description
"Volume 204, number 957 (first of 5 numbers)."
Author: Ping-Shun Chan
Publisher: American Mathematical Soc.
ISBN: 0821848224
Category : Automorphisms
Languages : en
Pages : 185
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Book Description
"Volume 204, number 957 (first of 5 numbers)."
Author: Gaëtan Chenevier
Publisher: Springer
ISBN: 3319958917
Category : Mathematics
Languages : en
Pages : 417
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Book Description
This book includes a self-contained approach of the general theory of quadratic forms and integral Euclidean lattices, as well as a presentation of the theory of automorphic forms and Langlands' conjectures, ranging from the first definitions to the recent and deep classification results due to James Arthur. Its connecting thread is a question about lattices of rank 24: the problem of p-neighborhoods between Niemeier lattices. This question, whose expression is quite elementary, is in fact very natural from the automorphic point of view, and turns out to be surprisingly intriguing. We explain how the new advances in the Langlands program mentioned above pave the way for a solution. This study proves to be very rich, leading us to classical themes such as theta series, Siegel modular forms, the triality principle, L-functions and congruences between Galois representations. This monograph is intended for any mathematician with an interest in Euclidean lattices, automorphic forms or number theory. A large part of it is meant to be accessible to non-specialists.
Author: Fan R. K. Chung
Publisher: American Mathematical Soc.
ISBN: 0821803158
Category : Eigenvalues
Languages : en
Pages : 228
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Book Description
This text discusses spectral graph theory.
Author: Bernhard Heim
Publisher: Springer
ISBN: 3319113526
Category : Mathematics
Languages : en
Pages : 242
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Book Description
This edited volume presents a collection of carefully refereed articles covering the latest advances in Automorphic Forms and Number Theory, that were primarily developed from presentations given at the 2012 “International Conference on Automorphic Forms and Number Theory,” held in Muscat, Sultanate of Oman. The present volume includes original research as well as some surveys and outlines of research altogether providing a contemporary snapshot on the latest activities in the field and covering the topics of: Borcherds products Congruences and Codes Jacobi forms Siegel and Hermitian modular forms Special values of L-series Recently, the Sultanate of Oman became a member of the International Mathematical Society. In view of this development, the conference provided the platform for scientific exchange and collaboration between scientists of different countries from all over the world. In particular, an opportunity was established for a close exchange between scientists and students of Germany, Oman, and Japan. The conference was hosted by the Sultan Qaboos University and the German University of Technology in Oman.
Author: B. Ramakrishnan
Publisher: Springer Nature
ISBN: 9811587191
Category : Mathematics
Languages : en
Pages : 240
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Book Description
This book collects the papers presented at the Conference on Number Theory, held at the Kerala School of Mathematics, Kozhikode, Kerala, India, from December 10–14, 2018. The conference aimed at bringing the active number theorists and researchers in automorphic forms and allied areas to demonstrate their current research works. This book benefits young research scholars, postdoctoral fellows, and young faculty members working in these areas of research.
Author: Andries E. Brouwer
Publisher: Springer Science & Business Media
ISBN: 1461419395
Category : Mathematics
Languages : en
Pages : 250
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Book Description
This book gives an elementary treatment of the basic material about graph spectra, both for ordinary, and Laplace and Seidel spectra. The text progresses systematically, by covering standard topics before presenting some new material on trees, strongly regular graphs, two-graphs, association schemes, p-ranks of configurations and similar topics. Exercises at the end of each chapter provide practice and vary from easy yet interesting applications of the treated theory, to little excursions into related topics. Tables, references at the end of the book, an author and subject index enrich the text. Spectra of Graphs is written for researchers, teachers and graduate students interested in graph spectra. The reader is assumed to be familiar with basic linear algebra and eigenvalues, although some more advanced topics in linear algebra, like the Perron-Frobenius theorem and eigenvalue interlacing are included.
Author: Laurent Clozel
Publisher: International Pressof Boston Incorporated
ISBN: 9781571462275
Category : Mathematics
Languages : en
Pages : 527
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Book Description
Author: Chris Godsil
Publisher: Springer Science & Business Media
ISBN: 1461301637
Category : Mathematics
Languages : en
Pages : 453
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Book Description
This book presents and illustrates the main tools and ideas of algebraic graph theory, with a primary emphasis on current rather than classical topics. It is designed to offer self-contained treatment of the topic, with strong emphasis on concrete examples.
Author: Michael R. Berthold
Publisher: Springer
ISBN: 9783030445836
Category : Computers
Languages : en
Pages : 588
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Book Description
This open access book constitutes the proceedings of the 18th International Conference on Intelligent Data Analysis, IDA 2020, held in Konstanz, Germany, in April 2020. The 45 full papers presented in this volume were carefully reviewed and selected from 114 submissions. Advancing Intelligent Data Analysis requires novel, potentially game-changing ideas. IDA’s mission is to promote ideas over performance: a solid motivation can be as convincing as exhaustive empirical evaluation.
Author: Michael R. Berthold
Publisher: Springer
ISBN: 3540486259
Category : Computers
Languages : en
Pages : 515
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Book Description
This second and revised edition contains a detailed introduction to the key classes of intelligent data analysis methods. The twelve coherently written chapters by leading experts provide complete coverage of the core issues. The first half of the book is devoted to the discussion of classical statistical issues. The following chapters concentrate on machine learning and artificial intelligence, rule induction methods, neural networks, fuzzy logic, and stochastic search methods. The book concludes with a chapter on visualization and an advanced overview of IDA processes.
