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Power variations in fractional Sobolev spaces for a class of parabolic stochastic PDEs

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arxiv 2006.15817 v1 pith:DXYNBTL3 submitted 2020-06-29 math.PR

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keywords powerwhenfractionalgammastochasticvariationvariationscase
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abstract

We consider a class of parabolic stochastic PDEs on bounded domains $D\subseteq\mathbb{R}^d$ that includes the stochastic heat equation, but with a fractional power $\gamma$ of the Laplacian. Viewing the solution as a process with values in a scale of fractional Sobolev spaces $H_r$, with $r < \gamma - d/2$, we study its power variations in $H_r$ along regular partitions of the time-axis. As the mesh size tends to zero, we find a phase transition at $r=-d/2$: the solutions have a nontrivial quadratic variation when $r<-d/2$ and a nontrivial $p$th order variation for $p= 2\gamma/(\gamma-d/2-r)>2$ when $r>-d/2$. More generally, suitably normalized power variations of any order satisfy a genuine law of large numbers in the first case and a degenerate limit theorem in the second case. When $r<-d/2$, the quadratic variation is given explicitly via an expression that involves the spectral zeta function, which reduces to the Riemann zeta function when $d=1$ and $D$ is an interval.

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    Realized covariations from discrete space-time data consistently estimate the noise covariance kernel of a parabolic SPDE in Hilbert-Schmidt norm, with rates and tests, even when the differential operator is unknown.

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