Sample paths of some Gaussian processes via Malliavin calculus

<p>In this thesis, we study the sample paths of some Gaussian processes using the methods from Malliavin calculus. To be more specific, we consider several interesting properties of fractional Brownian motion sample paths in the context of both probability measures and capacities. We are in...

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Main Author: Li, J
Other Authors: Qian, Z
Format: Thesis
Published: 2019
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author Li, J
author2 Qian, Z
author_facet Qian, Z
Li, J
author_sort Li, J
collection OXFORD
description <p>In this thesis, we study the sample paths of some Gaussian processes using the methods from Malliavin calculus. To be more specific, we consider several interesting properties of fractional Brownian motion sample paths in the context of both probability measures and capacities. We are in particular interested in the non-differentiability, the modulus of continuity, the law of the iterated logarithm and self-avoiding properties. The capacities we use here are those induced by Brownian motions on the classical Wiener space, that is, we regard fractional Brownian motions with distinct Hurst parameters as a collection of Wiener functionals on the classical Wiener space and use the classical Wiener capacities as uniform measurements. We also formulate a capacity version of the large deviation principles for these functionals and determine the corresponding rate functions.</p>
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spelling oxford-uuid:bbae99a0-6415-4184-8212-50b90a74892b2022-03-27T05:18:44ZSample paths of some Gaussian processes via Malliavin calculusThesishttp://purl.org/coar/resource_type/c_db06uuid:bbae99a0-6415-4184-8212-50b90a74892bORA Deposit2019Li, JQian, Z<p>In this thesis, we study the sample paths of some Gaussian processes using the methods from Malliavin calculus. To be more specific, we consider several interesting properties of fractional Brownian motion sample paths in the context of both probability measures and capacities. We are in particular interested in the non-differentiability, the modulus of continuity, the law of the iterated logarithm and self-avoiding properties. The capacities we use here are those induced by Brownian motions on the classical Wiener space, that is, we regard fractional Brownian motions with distinct Hurst parameters as a collection of Wiener functionals on the classical Wiener space and use the classical Wiener capacities as uniform measurements. We also formulate a capacity version of the large deviation principles for these functionals and determine the corresponding rate functions.</p>
spellingShingle Li, J
Sample paths of some Gaussian processes via Malliavin calculus
title Sample paths of some Gaussian processes via Malliavin calculus
title_full Sample paths of some Gaussian processes via Malliavin calculus
title_fullStr Sample paths of some Gaussian processes via Malliavin calculus
title_full_unstemmed Sample paths of some Gaussian processes via Malliavin calculus
title_short Sample paths of some Gaussian processes via Malliavin calculus
title_sort sample paths of some gaussian processes via malliavin calculus
work_keys_str_mv AT lij samplepathsofsomegaussianprocessesviamalliavincalculus