Regularity theory for a new class of fractional parabolic stochastic evolution equations

IF 1.4 3区 数学 Q2 MATHEMATICS, APPLIED
Kristin Kirchner, Joshua Willems
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引用次数: 1

Abstract

Abstract A new class of fractional-order parabolic stochastic evolution equations of the form $$(\partial _t + A)^\gamma X(t) = {\dot{W}}^Q(t)$$ ( t + A ) γ X ( t ) = W ˙ Q ( t ) , $$t\in [0,T]$$ t [ 0 , T ] , $$\gamma \in (0,\infty )$$ γ ( 0 , ) , is introduced, where $$-A$$ - A generates a $$C_0$$ C 0 -semigroup on a separable Hilbert space H and the spatiotemporal driving noise $${\dot{W}}^Q$$ W ˙ Q is the formal time derivative of an H -valued cylindrical Q -Wiener process. Mild and weak solutions are defined; these concepts are shown to be equivalent and to lead to well-posed problems. Temporal and spatial regularity of the solution process X are investigated, the former being measured by mean-square or pathwise smoothness and the latter by using domains of fractional powers of A . In addition, the covariance of X and its long-time behavior are analyzed. These abstract results are applied to the cases when $$A:= L^\beta $$ A : = L β and $$Q:={\widetilde{L}}^{-\alpha }$$ Q : = L ~ - α are fractional powers of symmetric, strongly elliptic second-order differential operators defined on (i) bounded Euclidean domains or (ii) smooth, compact surfaces. In these cases, the Gaussian solution processes can be seen as generalizations of merely spatial (Whittle–)Matérn fields to space–time.
一类新的分数阶抛物型随机演化方程的正则性理论
摘要引入了一类新的分数阶抛物型随机演化方程,其形式为$$(\partial _t + A)^\gamma X(t) = {\dot{W}}^Q(t)$$(∂t + A) γ X (t) = W˙Q (t), $$t\in [0,T]$$ t∈[0,t], $$\gamma \in (0,\infty )$$ γ∈(0,∞)。其中$$-A$$ - A在可分离希尔伯特空间H上生成一个$$C_0$$ c0 -半群,而时空驱动噪声$${\dot{W}}^Q$$ W˙Q是H值圆柱形Q - wiener过程的形式时间导数。定义了温和解和弱解;这些概念被证明是等价的,并导致适定问题。研究了求解过程X的时间和空间规律性,前者用均方或路径平滑度来测量,后者用A的分数次幂域来测量。此外,还分析了X的协方差及其长期行为。这些抽象结果应用于$$A:= L^\beta $$ A: = L β和$$Q:={\widetilde{L}}^{-\alpha }$$ Q: = L - α是定义在(i)有界欧几里得域或(ii)光滑紧曲面上的对称强椭圆二阶微分算子的分数幂的情况。在这些情况下,高斯解过程可以看作仅仅是空间(Whittle -) matsamyn场到时空的推广。
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来源期刊
CiteScore
2.70
自引率
13.30%
发文量
54
期刊介绍: Stochastics and Partial Differential Equations: Analysis and Computations publishes the highest quality articles presenting significantly new and important developments in the SPDE theory and applications. SPDE is an active interdisciplinary area at the crossroads of stochastic anaylsis, partial differential equations and scientific computing. Statistical physics, fluid dynamics, financial modeling, nonlinear filtering, super-processes, continuum physics and, recently, uncertainty quantification are important contributors to and major users of the theory and practice of SPDEs. The journal is promoting synergetic activities between the SPDE theory, applications, and related large scale computations. The journal also welcomes high quality articles in fields strongly connected to SPDE such as stochastic differential equations in infinite-dimensional state spaces or probabilistic approaches to solving deterministic PDEs.
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