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A probabilistic approach to spectral analysis of growth-fragmentation equations

Bertoin, Jean; Watson, Alexander R (2018). A probabilistic approach to spectral analysis of growth-fragmentation equations. Journal of Functional Analysis, 274(8):2163-2204.

Abstract

The growth-fragmentation equation describes a system of growing and dividing particles, and arises in models of cell division, protein polymerisation and even telecommunications protocols. Several important questions about the equation concern the asymptotic behaviour of solutions at large times: at what rate do they converge to zero or infinity, and what does the asymptotic profile of the solutions look like? Does the rescaled solution converge to its asymptotic profile at an exponential speed? These questions have traditionally been studied using analytic techniques such as entropy methods or splitting of operators. In this work, we present a probabilistic approach: we use a Feynman–Kac formula to relate the solution of the growth-fragmentation equation to the semigroup of a Markov process, and characterise the rate of decay or growth in terms of this process. We then identify the Malthus exponent and the asymptotic profile in terms of a related Markov process, and give a spectral interpretation in terms of the growth-fragmentation operator and its dual.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Mathematics
Dewey Decimal Classification:510 Mathematics
Scopus Subject Areas:Physical Sciences > Analysis
Uncontrolled Keywords:Analysis
Language:English
Date:2018
Deposited On:08 Mar 2018 09:23
Last Modified:23 Aug 2024 03:35
Publisher:Elsevier
ISSN:0022-1236
OA Status:Green
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.1016/j.jfa.2018.01.014
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