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On stochastic differential equations with non-white noise having small correlation times

โœ Scribed by Menelaos Lambiris; Martin Leibowitz


Publisher
Elsevier Science
Year
1980
Tongue
English
Weight
464 KB
Volume
309
Category
Article
ISSN
0016-0032

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โœฆ Synopsis


This is an extension of an earlier paper by the second author. In the previous work, an algorithm was derived for the moments of an homogeneous equation with noise similar to the white noise, but has small, finite correlafion time. In the present work this algorithm is extended for an inhomogeneous equation with the same characteristics.


๐Ÿ“œ SIMILAR VOLUMES


On the Adjoint Equation of Stochastic Li
โœ Menelaos Lambiris ๐Ÿ“‚ Article ๐Ÿ“… 1980 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 355 KB

The statistical properties of a backward stochastic differential equation are derived, assuming the noise is similar to the white noise, but having small correlation times. The relation between the forward and backward systems is examined and given an application to the theory of maximum principle.