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Auteurs principaux: Rojas, Cristóbal, Yampolsky, Michael
Format: Preprint
Publié: 2024
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Accès en ligne:https://arxiv.org/abs/2501.00006
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author Rojas, Cristóbal
Yampolsky, Michael
author_facet Rojas, Cristóbal
Yampolsky, Michael
contents In 1946, S. Ulam invented Monte Carlo method, which has since become the standard numerical technique for making statistical predictions for long-term behaviour of dynamical systems. We show that this, or in fact any other numerical approach can fail for the simplest non-linear discrete dynamical systems given by the logistic maps $f_{a}(x)=ax(1-x)$ of the unit interval. We show that there exist computable real parameters $a\in (0,4)$ for which almost every orbit of $f_a$ has the same asymptotical statistical distribution in $[0,1]$, but this limiting distribution is not Turing computable.
format Preprint
id arxiv_https___arxiv_org_abs_2501_00006
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Ulam meets Turing: constructing quadratic maps with non-computable SRB measures
Rojas, Cristóbal
Yampolsky, Michael
Dynamical Systems
68Q17 and 37E05
In 1946, S. Ulam invented Monte Carlo method, which has since become the standard numerical technique for making statistical predictions for long-term behaviour of dynamical systems. We show that this, or in fact any other numerical approach can fail for the simplest non-linear discrete dynamical systems given by the logistic maps $f_{a}(x)=ax(1-x)$ of the unit interval. We show that there exist computable real parameters $a\in (0,4)$ for which almost every orbit of $f_a$ has the same asymptotical statistical distribution in $[0,1]$, but this limiting distribution is not Turing computable.
title Ulam meets Turing: constructing quadratic maps with non-computable SRB measures
topic Dynamical Systems
68Q17 and 37E05
url https://arxiv.org/abs/2501.00006