Branching Brownian motion is a key model at the crossroads of value statistics for Gaussian processes, statistical physics, and non-linear partial differential equations. This book gives a concise introduction for graduate students and researchers leading up to the most recent developments in this active area of research.
Branching Brownian motion is a key model at the crossroads of value statistics for Gaussian processes, statistical physics, and non-linear partial differential equations. This book gives a concise introduction for graduate students and researchers leading up to the most recent developments in this active area of research.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Anton Bovier is Professor of Mathematics at the University of Bonn. He is the author of more than 130 scientific papers and two monographs, Statistical Mechanics of Disordered Systems: A Mathematical Perspective (Cambridge, 2006) and Metastability: A Potential-Theoretic Approach (with Frank den Hollander, 2016). Bovier is a Fellow of the Institute of Mathematical Statistics and a member of the Clusters of Excellence, The Hausdorff Center for Mathematics and ImmunoSensation, both at the University of Bonn.
Inhaltsangabe
1. Extreme value theory for iid sequences 2. Extremal processes 3. Normal sequences 4. Spin glasses 5. Branching Brownian motion 6. Bramson's analysis of the F-KPP equation 7. The extremal process of BBM 8. Full extremal process 9. Variable speed BBM References Index.
1. Extreme value theory for iid sequences 2. Extremal processes 3. Normal sequences 4. Spin glasses 5. Branching Brownian motion 6. Bramson's analysis of the F-KPP equation 7. The extremal process of BBM 8. Full extremal process 9. Variable speed BBM References Index.
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