Correlation as a Source of Stochasticity in Continuum Models
Institute for Pure & Applied Mathematics (IPAM) via YouTube
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Explore the mathematical foundations of stochasticity in continuum models through this advanced lecture by Keith Promislow from Michigan State University, delivered at IPAM's electrochemistry modeling tutorials. Delve into the transition from molecular dynamics models that resolve material properties through N-particle interactions to continuum systems, examining how the BBGKY hierarchy characterizes coupled interactions of partially integrated marginals in probability distribution functions. Understand the conditions under which mean-field limits provide effective modeling by coupling single particles to mean-fields generated by other particles, and discover why this approach breaks down when small particle groups have successive interactions, such as water molecules in ion hydration shells. Learn how these repeated interactions generate correlations described by 2 and 3 particle joint distributions, moving beyond simple tensor products of single particle distributions. Examine the impact of correlation on hydrodynamic limits that enable reduction to continuum systems, with particular focus on models of particle interactions with dipole moments, including water molecule behavior. Gain insights into the mathematical framework connecting molecular-scale interactions to macroscopic continuum descriptions through stochastic processes.
Syllabus
Keith Promislow - Correlation as a Source of Stochasticity in Continuum Models - IPAM at UCLA
Taught by
Institute for Pure & Applied Mathematics (IPAM)