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An elementary way to rigorously estimate convergence to equilibrium and escape rates
Author(s) -
Stefano Galatolo,
Isaia Nisoli,
Benoît Saussol
Publication year - 2015
Publication title -
journal of computational dynamics
Language(s) - English
Resource type - Journals
eISSN - 2158-2505
pISSN - 2158-2491
DOI - 10.3934/jcd.2015.2.51
Subject(s) - convergence (economics) , transfer operator , mathematics , operator (biology) , transfer (computing) , rate of convergence , elementary proof , inequality , mathematical analysis , pure mathematics , computer science , economics , computer network , biochemistry , chemistry , channel (broadcasting) , repressor , parallel computing , transcription factor , gene , economic growth
We show an elementary method to obtain (finite time and asymptotic) computer assisted explicit upper bounds on convergence to equilibrium (decay of correlations) and escape rates for systems satisfying a Lasota Yorke inequality. The bounds are deduced from the ones of suitable approximations of the system's transfer operator. We also present some rigorous experiments on some nontrivial example

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