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Stochastic ordinary and partial differential equations generalize the concepts of ordinary and partial differential equations to the setting where the unknown is a stochastic process.
2
votes
Existence of strong solution in SDEs and continuity in the time variable
1 and 2 imply linear growth (locally in $t$). Indeed, for any $T>0$ and $t\in[0,T]$
$$
|a(t,x)|\le |a(t,0)| + |a(t,x) - a(t,0)| \le \sup_{s\in[0,T]} |a(s,0)| + K|x|\\\le \big(K\vee ||a(\cdot,0)||_{\in …
9
votes
Accepted
Kolmogorov continuity theorem and Holder norm
One can apply a deterministic result, called Garsia--Rodemich--Rumsey inequality, to estimate $\mathrm{E}[||X||^\alpha_{\gamma;[0,T]}]$. Here is a particular form of this result, which is most conveni …
2
votes
Accepted
Is the "hybrid" Black-Scholes Hull-White model arbitrage free?
The discounted stock price satisfies
$$
dX(t) = \big(\mu(t) - r(t)\big)X(t) dt + \sigma_S(t) X(t) dW_S^{\mathbb P}(t).
$$
The Girsanov density for $X$ is
$$
Z(T) = \exp\left\{\int_0^T \nu(t)dW^{\mat …
2
votes
Smoothness of resolvent of the infinitesimal generator of an Ito diffusion acting on bounded...
It is sufficient that $\inf_x \sigma(x)>0$ and $\sup_x \sigma(x)<\infty$, and $f$ does not have to be monotone. In this case, denoting $\mathcal L f(x) = \frac{1}{2}\sigma(x)f''(x)+\mu(x)f'(x)$, by Th …