Jay Kovats
Abstract:
Using both probabilistic and classical analytic techniques,
we investigate the parabolic Kolmogorov equation
in
and its solutions when the coefficients are
bounded Borel measurable functions of
.
We show that the probabilistic
solution
defined in
,
is twice differentiable
with respect to
,
continuously in
,
once differentiable with respect to
,
a.e.
and satisfies the Kolmogorov equation
a.e. in
.
Our main tool
will be the Aleksandrov-Busemann-Feller Theorem. We also examine the
probabilistic solution to the fully nonlinear Bellman equation with
time-measurable coefficients in the simple case
.
We show that when the terminal data function is a paraboloid, the payoff
function has a particularly simple form.
Submitted March 11, 2003. Published July 13, 2003.
Math Subject Classifications: 35K15, 35B65, 35K15, 60J60.
Key Words: Diffusion processes, Kolmogorov equation, Bellman equation.
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