2018ESAIM Probability and StatisticsOpen access

Stochastic formulations of the parametrix method

Arturo Kohatsu‐Higa, Gô Yûki

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Abstract

In this manuscript, we consider stochastic expressions of the parametrix method for solutions ofd-dimensional stochastic differential equations (SDEs) with drift coefficients which belong toLp(Rd),p>d. We prove the existence and Hölder continuity of probability density functions for distributions of solutions at fixed points and obtain an explicit expansionvia(stochastic) parametrix methods. We also obtain Gaussian type upper and lower bounds for these probability density functions.

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In this manuscript, we consider stochastic expressions of the parametrix method for solutions ofd-dimensional stochastic differential equations (SDEs) with drift coefficients which belong toLp(Rd),p>d. We prove the existence and Hölder continuity of probability density functions for distributions of solutions at fixed points and obtain an explicit expansionvia(stochastic) parametrix methods. We also obtain Gaussian type upper and lower bounds for these probability density functions.

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Available abstract

In this manuscript, we consider stochastic expressions of the parametrix method for solutions ofd-dimensional stochastic differential equations (SDEs) with drift coefficients which belong toLp(Rd),p>d. We prove the existence and Hölder continuity of probability density functions for distributions of solutions at fixed points and obtain an explicit expansionvia(stochastic) parametrix methods. We also obtain Gaussian type upper and lower bounds for these probability density functions.

Key concepts: Parametrix, Mathematics, Stochastic differential equation, Gaussian, Type (biology), Applied mathematics, Probability density function, Mathematical analysis

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