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A stochastic process is a collection of random variables usually indexed by a totally ordered set.

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The (infinite) invariant measure of an SPDE

I check it with the standard Garlerkin method and confirmed that it is right, in both cases (i) and (ii). Discribe the proof briefly (under (ii)): Take a CONS of $H$ as $h_1 = 1$ and $h_k(x) = \co …
gregarki khayal's user avatar
2 votes
1 answer
218 views

The (infinite) invariant measure of an SPDE

Consider a 1-dimensional stochastic heat equation on $[0, 1]$, with boundary conditions of Neumann's type: \begin{equation}\left\{ \begin{aligned} &\partial_t u(t, x) = \frac{1}{2}\partial_x^2 u(t, x …
gregarki khayal's user avatar
0 votes
1 answer
319 views

On the superior of generalized Ornstein-Uhlenbeck process

Let us consider a generalized O-U process $X_t \in L^2[0, 1]$ defined by the following spde: $dX_t = \frac{1}{2}\partial_x^2X_t + dW_t, $ $\partial_x X_t(0) = \partial_x X_t(1) = 0, $ $X_0 = 0, $ …
gregarki khayal's user avatar
1 vote
1 answer
372 views

On the solution of a stochastic partial differential equation

Consider a simple SPDE as follows: $\partial_t u(t,x)=\partial_x^2 u(t,x)+V(u(t,x))+\dot{W}(t,x)$, $t>0$, $x\in(0,1)$, $u(t,0)=u(t,1)=0$, $u(0,x)=v(x)$, where $V$ is a bounded, smooth potentia …
gregarki khayal's user avatar
2 votes
0 answers
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On the infinitesimal generator of a 1-dimensional stochastic heat equation: core and explici...

Denote $E = C([0, 1])$. I am consider a 1-dimensional stochastic heat equation on $h$: $$\partial_tu(t, x) = \partial_x^2u(t, x) - V'(u(t, x)) + \dot{W}(t, x), \quad\text{ for all } (t, x) \in (0, \ …
gregarki khayal's user avatar