Asymptotic Distributions for Power Variations of the Solutions to Linearized Kuramoto–Sivashinsky SPDEs in One-to-Three Dimensions

We study the realized power variations for the fourth order linearized Kuramoto–Sivashinsky (LKS) SPDEs and their gradient, driven by the space–time white noise in one-to-three dimensional spaces, in time, have infinite quadratic variation and dimension-dependent Gaussian asymptotic distributions. T...

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Main Authors: Wensheng Wang, Dazhong Wang
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Symmetry
Subjects:
Online Access:https://www.mdpi.com/2073-8994/13/1/73
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author Wensheng Wang
Dazhong Wang
author_facet Wensheng Wang
Dazhong Wang
author_sort Wensheng Wang
collection DOAJ
description We study the realized power variations for the fourth order linearized Kuramoto–Sivashinsky (LKS) SPDEs and their gradient, driven by the space–time white noise in one-to-three dimensional spaces, in time, have infinite quadratic variation and dimension-dependent Gaussian asymptotic distributions. This class was introduced-with Brownian-time-type kernel formulations by Allouba in a series of articles starting in 2006. He proved the existence, uniqueness, and sharp spatio-temporal Hölder regularity for the above class of equations in <inline-formula><math display="inline"><semantics><mrow><mi>d</mi><mo>=</mo><mn>1</mn><mo>,</mo><mn>2</mn><mo>,</mo><mn>3</mn></mrow></semantics></math></inline-formula>. We use the relationship between LKS-SPDEs and the Houdré–Villaa bifractional Brownian motion (BBM), yielding temporal central limit theorems for LKS-SPDEs and their gradient. We use the underlying explicit kernels and spectral/harmonic analysis to prove our results. On one hand, this work builds on the recent works on the delicate analysis of variations of general Gaussian processes and stochastic heat equation driven by the space–time white noise. On the other hand, it builds on and complements Allouba’s earlier works on the LKS-SPDEs and their gradient.
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spelling doaj.art-311cc6325c884b88b9e26a3eaf934db72023-11-21T07:55:31ZengMDPI AGSymmetry2073-89942021-01-011317310.3390/sym13010073Asymptotic Distributions for Power Variations of the Solutions to Linearized Kuramoto–Sivashinsky SPDEs in One-to-Three DimensionsWensheng Wang0Dazhong Wang1School of Economics, Hangzhou Dianzi University, Hangzhou 310018, ChinaZhiyuan College, Shanghai Jiao Tong University, Shanghai 200240, ChinaWe study the realized power variations for the fourth order linearized Kuramoto–Sivashinsky (LKS) SPDEs and their gradient, driven by the space–time white noise in one-to-three dimensional spaces, in time, have infinite quadratic variation and dimension-dependent Gaussian asymptotic distributions. This class was introduced-with Brownian-time-type kernel formulations by Allouba in a series of articles starting in 2006. He proved the existence, uniqueness, and sharp spatio-temporal Hölder regularity for the above class of equations in <inline-formula><math display="inline"><semantics><mrow><mi>d</mi><mo>=</mo><mn>1</mn><mo>,</mo><mn>2</mn><mo>,</mo><mn>3</mn></mrow></semantics></math></inline-formula>. We use the relationship between LKS-SPDEs and the Houdré–Villaa bifractional Brownian motion (BBM), yielding temporal central limit theorems for LKS-SPDEs and their gradient. We use the underlying explicit kernels and spectral/harmonic analysis to prove our results. On one hand, this work builds on the recent works on the delicate analysis of variations of general Gaussian processes and stochastic heat equation driven by the space–time white noise. On the other hand, it builds on and complements Allouba’s earlier works on the LKS-SPDEs and their gradient.https://www.mdpi.com/2073-8994/13/1/73quadratic variationpower variationlinearized Kuramoto–Sivashinsky SPDEsspace–time white noiseweak convergence
spellingShingle Wensheng Wang
Dazhong Wang
Asymptotic Distributions for Power Variations of the Solutions to Linearized Kuramoto–Sivashinsky SPDEs in One-to-Three Dimensions
Symmetry
quadratic variation
power variation
linearized Kuramoto–Sivashinsky SPDEs
space–time white noise
weak convergence
title Asymptotic Distributions for Power Variations of the Solutions to Linearized Kuramoto–Sivashinsky SPDEs in One-to-Three Dimensions
title_full Asymptotic Distributions for Power Variations of the Solutions to Linearized Kuramoto–Sivashinsky SPDEs in One-to-Three Dimensions
title_fullStr Asymptotic Distributions for Power Variations of the Solutions to Linearized Kuramoto–Sivashinsky SPDEs in One-to-Three Dimensions
title_full_unstemmed Asymptotic Distributions for Power Variations of the Solutions to Linearized Kuramoto–Sivashinsky SPDEs in One-to-Three Dimensions
title_short Asymptotic Distributions for Power Variations of the Solutions to Linearized Kuramoto–Sivashinsky SPDEs in One-to-Three Dimensions
title_sort asymptotic distributions for power variations of the solutions to linearized kuramoto sivashinsky spdes in one to three dimensions
topic quadratic variation
power variation
linearized Kuramoto–Sivashinsky SPDEs
space–time white noise
weak convergence
url https://www.mdpi.com/2073-8994/13/1/73
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