2020
DOI: 10.3150/19-bej1128
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SPDEs with fractional noise in space: Continuity in law with respect to the Hurst index

Abstract: In this article, we consider the one-dimensional stochastic wave and heat equations driven by a linear multiplicative Gaussian noise which is white in time and behaves in space like a fractional Brownian motion with Hurst index H ∈ ( 1 4 , 1). We prove that the solution of each of the above equations is continuous in terms of the index H, with respect to the convergence in law in the space of continuous functions. The proof is based on a tightness criterion on the plane and Malliavin calculus techniques in ord… Show more

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Cited by 10 publications
(2 citation statements)
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“…Jolis and Viles in [13][14][15][16] have given a series of results on the stability in law with respect to the Hurst index. Some other works in this aspect can be found in [9,11,12,25]. Another impressive work in a recent year is the study of Koch and Neuenkirch in [18], where the infinite differentiability of fractional Brownian motion has been investigated.…”
Section: Introductionmentioning
confidence: 99%
“…Jolis and Viles in [13][14][15][16] have given a series of results on the stability in law with respect to the Hurst index. Some other works in this aspect can be found in [9,11,12,25]. Another impressive work in a recent year is the study of Koch and Neuenkirch in [18], where the infinite differentiability of fractional Brownian motion has been investigated.…”
Section: Introductionmentioning
confidence: 99%
“…The estimation of H is very important, since it determines the magnitude of the self-correlation of the noise in the models. As emphasized in [8], not only one has to deal with the problem of the estimation of the Hurst parameter H of the noise, as in [9,11,12], but one needs to check that the model does not exhibit a large sensitivity with respect to the values of H. Hence, the study of the continuity problem is important in the case of both time (SDE) and time-space (SPDE) stochastic differential equations driven by fractional noises, and it is a very interesting problem not only from a theoretical point of view, but also in the modeling applications ( [1,2,4,13,14]).…”
Section: Introductionmentioning
confidence: 99%