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Differentiability of transition semigroup of generalized Ornstein-Uhlenbeck process: a probabilistic approach

Ben Goldys, Szymon Peszat

Abstract

Let $P_sφ(x)=\mathbb{E}\, φ(X^x(s))$, be the transition semigroup on the space $B_b(E)$ of bounded measurable functions on a Banach space $E$, of the Markov family defined by the linear equation with additive noise $$ d X(s)= \left(AX(s) + a\right)ds + BdW(s), \qquad X(0)=x\in E. $$ We give a simple probabilistic proof of the fact that null-controlla\-bility of the corresponding deterministic system $$ d Y(s)= \left(AY(s)+ B\mathcal{U}(t)x)(s)\right)ds, \qquad Y(0)=x, $$ implies that for any $φ\in B_b(E)$, $P_tφ$ is infinitely many times Fréchet differentiable and that $$ D^nP_tφ(x)[y_1,\ldots ,y_n]= \mathbb{E}\, φ(X^x(t))(-1)^nI^n_t(y_1,\ldots, y_n), $$ where $I^n_t(y_1,\ldots,y_n)$ is the symmetric n-fold Itô integral of the controls $\mathcal{U}(t)y_1,\ldots \mathcal{U}(t)y_n$.

Differentiability of transition semigroup of generalized Ornstein-Uhlenbeck process: a probabilistic approach

Abstract

Let , be the transition semigroup on the space of bounded measurable functions on a Banach space , of the Markov family defined by the linear equation with additive noise We give a simple probabilistic proof of the fact that null-controlla\-bility of the corresponding deterministic system implies that for any , is infinitely many times Fréchet differentiable and that where is the symmetric n-fold Itô integral of the controls .

Paper Structure

This paper contains 17 sections, 19 theorems, 142 equations.

Key Result

Theorem 2.6

Assume that the deterministic system E12 is null-controllable at time $T$. Then for $\phi\in B_b(E)$, $t\ge T$ and $x\in E$ we have Moreover, for any $n$ and $\phi\in B_b(E)$, $P_t\phi$ is n-times differentiable, and Finally, we have

Theorems & Definitions (40)

  • Remark 2.2
  • Definition 2.3
  • Definition 2.4
  • Definition 2.5
  • Theorem 2.6
  • proof
  • Corollary 2.7
  • Corollary 2.8
  • proof
  • Corollary 2.9
  • ...and 30 more