Linear bounds for stochastic dispersion

It has been suggested that stochastic flows might be used to model the spread of passive tracers in a turbulent fluid. We define a stochastic flow by the equations Φ(x) = x, dΦt(x) = F(dt, Φt(x)), where F(t, x) is a field of semimartingales on x ∈ ℝd for d ≥ 2 whose local characteristics are bounded...

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Main Authors: Cranston, M, Scheutzow, M, Steinsaltz, D
Format: Journal article
Language:English
Published: 2000
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author Cranston, M
Scheutzow, M
Steinsaltz, D
author_facet Cranston, M
Scheutzow, M
Steinsaltz, D
author_sort Cranston, M
collection OXFORD
description It has been suggested that stochastic flows might be used to model the spread of passive tracers in a turbulent fluid. We define a stochastic flow by the equations Φ(x) = x, dΦt(x) = F(dt, Φt(x)), where F(t, x) is a field of semimartingales on x ∈ ℝd for d ≥ 2 whose local characteristics are bounded and Lipschitz. The particles are points in a bounded set script X sign, and we ask how far the substance has spread in a time T. That is, we define Φ*T = supx∈script T sign 0≤t≤Tsup ∥Φt(x)∥, and seek to bound P {Φ*T > z}. Without drift, when F(·, x) are required to be martingales, although single points move on the order of √T, it is easy to construct examples in which the supremum Φ*T still grows linearly in time - that is, lim inf T→∞ Φ*T/T > 0 almost surely. We show that this is an upper bound for the growth; that is, we compute a finite constant K0, depending on the bounds for the local characteristics, such that lim supT→∞ Φ*T/T ≤ K0 almost surely. A linear bound on growth holds even when the field itself includes a drift term.
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spelling oxford-uuid:dc253f75-3826-4283-b24c-d9e8532e45142022-03-27T09:15:40ZLinear bounds for stochastic dispersionJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:dc253f75-3826-4283-b24c-d9e8532e4514EnglishSymplectic Elements at Oxford2000Cranston, MScheutzow, MSteinsaltz, DIt has been suggested that stochastic flows might be used to model the spread of passive tracers in a turbulent fluid. We define a stochastic flow by the equations Φ(x) = x, dΦt(x) = F(dt, Φt(x)), where F(t, x) is a field of semimartingales on x ∈ ℝd for d ≥ 2 whose local characteristics are bounded and Lipschitz. The particles are points in a bounded set script X sign, and we ask how far the substance has spread in a time T. That is, we define Φ*T = supx∈script T sign 0≤t≤Tsup ∥Φt(x)∥, and seek to bound P {Φ*T > z}. Without drift, when F(·, x) are required to be martingales, although single points move on the order of √T, it is easy to construct examples in which the supremum Φ*T still grows linearly in time - that is, lim inf T→∞ Φ*T/T > 0 almost surely. We show that this is an upper bound for the growth; that is, we compute a finite constant K0, depending on the bounds for the local characteristics, such that lim supT→∞ Φ*T/T ≤ K0 almost surely. A linear bound on growth holds even when the field itself includes a drift term.
spellingShingle Cranston, M
Scheutzow, M
Steinsaltz, D
Linear bounds for stochastic dispersion
title Linear bounds for stochastic dispersion
title_full Linear bounds for stochastic dispersion
title_fullStr Linear bounds for stochastic dispersion
title_full_unstemmed Linear bounds for stochastic dispersion
title_short Linear bounds for stochastic dispersion
title_sort linear bounds for stochastic dispersion
work_keys_str_mv AT cranstonm linearboundsforstochasticdispersion
AT scheutzowm linearboundsforstochasticdispersion
AT steinsaltzd linearboundsforstochasticdispersion