A stochastic control problem

dc.contributor.authorMargulies, William
dc.contributor.authorZes, Dean
dc.date.accessioned2021-05-14T20:31:06Z
dc.date.available2021-05-14T20:31:06Z
dc.date.issued2004-11-23
dc.description.abstractIn 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.
dc.description.departmentMathematics
dc.formatText
dc.format.extent10 pages
dc.format.medium1 file (.pdf)
dc.identifier.citationMargulies, W., & Zes, D. (2004). A stochastic control problem. <i>Electronic Journal of Differential Equations, 2004</i>(135), pp. 1-10.
dc.identifier.issn1072-6691
dc.identifier.urihttps://hdl.handle.net/10877/13556
dc.language.isoen
dc.publisherTexas State University-San Marcos, Department of Mathematics
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceElectronic Journal of Differential Equations, 2004, San Marcos, Texas: Texas State University-San Marcos and University of North Texas.
dc.subjectStochastic differential equations
dc.subjectControl problems
dc.subjectJacobi functions
dc.titleA stochastic control problem
dc.typeArticle

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