The principal steps in defining “mesoscopic” equations for the positions of particles in R d are as follows: We first construct solutions of stochastic ordinary differential equations in the sense of Itô (SODEs) 1 such that solutions r (t,γ̃, q) depend “nicely” on some measure-valued process γ̃ and on the initial condition q. To proceed from SODEs to stochastic partial differential equations (SPDEs) for the mass distribution of particles, governed by the flow q ↦ r(t, γ̃, q), we proceed in a second step as follows: Suppose r(t, γ̃, q) is measurable in q with respect to the Borel σ-algebra B d of R d and integrable with respect to some initial measure μο.
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© 2008 Springer Science+Business Media, LLC
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(2008). Stochastic Ordinary Differential Equations: Existence, Uniqueness, and Flows Properties. In: Stochastic Ordinary and Stochastic Partial Differential Equations. Stochastic Modelling and Applied Probability formerly: Applications of Mathematics, vol 58. Springer, New York, NY. https://doi.org/10.1007/978-0-387-74317-2_4
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DOI: https://doi.org/10.1007/978-0-387-74317-2_4
Publisher Name: Springer, New York, NY
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