Rare Transitions in Noisy Heteroclinic Networks
Author:   Yuri Bakhtin ,  Hong-Bin Chen ,  Zsolt Pajor-Gyulai
Publisher:   American Mathematical Society
ISBN:  

9781470477301


Pages:   156
Publication Date:   31 January 2026
Format:   Paperback
Availability:   Not yet available, will be POD   Availability explained
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Rare Transitions in Noisy Heteroclinic Networks


Overview

The Memoirs of the AMS is devoted to the publication of new research in all areas of pure and applied mathematics. The Memoirs is designed particularly to publish long papers of groups of cognate papers in book form, and is under the supervision of the Editorial Committee of the AMS journal Transactions of the American Mathematical Society. All papers are peer-reviewed.

Full Product Details

Author:   Yuri Bakhtin ,  Hong-Bin Chen ,  Zsolt Pajor-Gyulai
Publisher:   American Mathematical Society
Imprint:   American Mathematical Society
ISBN:  

9781470477301


ISBN 10:   1470477300
Pages:   156
Publication Date:   31 January 2026
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Not yet available, will be POD   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon it's release. This is a print on demand item which is still yet to be released.

Table of Contents

Chapters; 1. Introduction; 2. The typical behavior; 3. Some notation and terminology; 4. Two saddles; 5. Heteroclinic chains of arbitrary length; 6. Long-term asymptotics of diffusions near heteroclinic networks; 7. Proofs in the rectified coordinates; 8. Proofs in the original coordinates; 9. Gaussian approximation for the stopped process U^1; 10. Local limit theorems; 11. Density estimates

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Author Information

Yuri Bakhtin, Courant Institute of Mathematical Sciences, New York University, New York. Hong-Bin Chen, Courant Institute of Mathematical Sciences, New York University, New York. Zsolt Pajor-Gyulai, Courant Institute of Mathematical Sciences, New York University, New York

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NOV RG 20252

 

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