Skip to main content
Search type Search syntax
Tags [tag]
Exact "words here"
Author user:1234
user:me (yours)
Score score:3 (3+)
score:0 (none)
Answers answers:3 (3+)
answers:0 (none)
isaccepted:yes
hasaccepted:no
inquestion:1234
Views views:250
Code code:"if (foo != bar)"
Sections title:apples
body:"apples oranges"
URL url:"*.example.com"
Saves in:saves
Status closed:yes
duplicate:no
migrated:no
wiki:no
Types is:question
is:answer
Exclude -[tag]
-apples
For more details on advanced search visit our help page
Search options answers only not deleted user 8146

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 …
zhoraster's user avatar
  • 1,533
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 …
zhoraster's user avatar
  • 1,533
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 …
zhoraster's user avatar
  • 1,533
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 …
zhoraster's user avatar
  • 1,533