William Margulies, Dean Zes
Abstract:
In this paper, we study a specific stochastic differential equation
depending on a parameter and obtain a representation of its
probability density function in terms of Jacobi Functions.
The equation arose in a control problem with a quadratic performance
criteria. The quadratic performance is used to eliminate the control
in the standard Hamilton-Jacobi variational technique.
The resulting stochastic differential equation has a noise amplitude
which complicates the solution. We then solve Kolmogorov's partial
differential equation for the probability density function by using
Jacobi Functions. A particular value of the parameter makes the
solution a Martingale and in this case we prove that the solution goes
to zero almost surely as time tends to infinity.
Submitted May 28, 2004. Published November 23, 2004.
Math Subject Classifications: 60H05, 60H07.
Key Words: Stochastic differential equations; control problems;
Jacobi functions.
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William Margulies Department of Mathematics California State University Long Beach, CA 90840, USA email: wmarguls@csulb.edu | |
Dean Zes B&Z Engineering Consulting 3134 Kallin Ave, Long Beach, CA 90808, USA email: deanzes@charter.net |
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