Eigenvalues, inequalities, and ergodic theory
A problem of broad interest the estimation of the spectral gap for matrices or differential operators (Markov chains or diffusions) is covered in this book. The area has a wide range of applications, and provides a tool to describe the phase transitions and the effectiveness of random algorithms. In...
保存先:
| 第一著者: | |
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| フォーマット: | Livre numérique |
| 言語: | Anglais |
| 出版事項: |
London :
Springer London
[20..].
Cham : Springer Nature |
| 版: | 1st ed. 2005. |
| シリーズ: | Probability and Its Applications
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| オンライン･アクセス: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| 注記: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Eigenvalues, inequalities, and ergodic theory, Mu-Fa Chen, 2005, London, Springer, 1 vol. (XIII-228 p.), Probability and its applications, 978-1-85233-868-8 • Eigenvalues, inequalities, and ergodic theory, Mu-Fa Chen, 2005, London, Springer, 1 vol. (XIII-228 p.), Probability and its applications, 978-1-85233-868-8 • Eigenvalues, Inequalities, and Ergodic Theory, Texte imprimé, 9781848007857 • Eigenvalues, inequalities, and ergodic theory, Mu-Fa Chen, 2005, London, Springer, 1 vol. (XIII-228 p.), Probability and its applications, 978-1-85233-868-8 • Eigenvalues, Inequalities, and Ergodic Theory, Texte imprimé, 9781848007857 • Eigenvalues, inequalities, and ergodic theory, Mu-Fa Chen, 2005, London, Springer, 1 vol. (XIII-228 p.), Probability and its applications, 978-1-85233-868-8 • Eigenvalues, inequalities, and ergodic theory, Mu-Fa Chen, 2005, London, Springer, 1 vol. (XIII-228 p.), Probability and its applications, 978-1-85233-868-8 • Eigenvalues, Inequalities, and Ergodic Theory, Texte imprimé, 9781848007857 • Eigenvalues, inequalities, and ergodic theory, Mu-Fa Chen, 2005, London, Springer, 1 vol. (XIII-228 p.), Probability and its applications, 978-1-85233-868-8 |
| 要約: | A problem of broad interest the estimation of the spectral gap for matrices or differential operators (Markov chains or diffusions) is covered in this book. The area has a wide range of applications, and provides a tool to describe the phase transitions and the effectiveness of random algorithms. In particular, the book studies a subset of the general problem, taking some approaches that have, up till now, only appeared largely in the Chinese literature. Eigenvalues, Inequalities and Ergodic Theory serves as an introduction to this developing field, and provides an overview of the methods used, in an accessible and concise manner. The author starts with an overview chapter, from which any of the following self-contained chapters can be read. Each chapter starts with a summary and, in order to appeal to non-specialists, ideas are introduced through simple examples rather than technical proofs. In the latter chapters readers are introduced to problems and application areas, including stochastic models of economy. Intended for researchers, graduates and postgraduates in probability theory, Markov processes, mathematical physics and spectrum theory, this book will be a welcome introduction to a growing area of research. |
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| 記述事項: | Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| ISBN: | 9781846281235 |
| アクセス: | Accès en ligne pour les établissements français bénéficiaires des licences nationales Accès soumis à abonnement pour tout autre établissement Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 |