Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/409
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dc.contributor.authorAggarwal, Gaurav-
dc.contributor.otherSahu, Lingaraj-
dc.date.accessioned2014-07-24T10:21:50Z-
dc.date.available2014-07-24T10:21:50Z-
dc.date.issued2014-07-24-
dc.identifier.urihttp://hdl.handle.net/123456789/409-
dc.description.abstractDifferential equations are viewed as models for the trajectories of moving particles. Using differential equations to study the trajectory of a particle undergoing random mo- tion is not straight forward. The aim of the project is to understand diffusion processes, which are used as models for the trajectory of particle exhibiting a random behaviour. The analysis behind defining stochastic integration and the use of Itˆo’s formula in writing the stochastic differential equations is rigorously reproduced. The solutions of the SDEs and the sufficient conditions for their existence and uniqueness are studied, the analysis is supplemented with important examples and applications.en_US
dc.description.sponsorshipIISER Men_US
dc.language.isoenen_US
dc.publisherIISER Men_US
dc.subjectBrownian Motionen_US
dc.subjectStochastic Integrationen_US
dc.subjectStochastic Differential Equationsen_US
dc.subjectDifferential equationsen_US
dc.subjectMathematicsen_US
dc.titleDiffusion Processes: Analysis and their Applicationsen_US
dc.typeThesisen_US
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