The Connection Between Multicomponent Smoluchowski's Equation, Multidimensional Inviscid Burgers' Equations and Random Graphs
Summary
We consider multicomponent Smoluchowski's coagulation equation with a bilinear kernel and mono-dispersed initial conditions. Because of the choice for the kernel, this equation maps to a partial dierential equation called the inviscid Burgers' equation. We show in one-dimension, and claim it also holds in higher dimensions, that con- nected components in coloured Erdös-Renyi random graph asymptotically describe the solution to the Smoluchowski's equations for monodispersed intial conditions and the nonlinear PDE associated to it. Using Joyal's formalism of combinatorial species, we obtain a closed-form solution for these equations by counting connected components in the random graph. We also derive a simple equation for the blow up time of the Burgers' inviscid equation with the chosen bilinear form.
Using the insights obtained from our method, and adapting previous algorithms, we additionally propose a randomized numerical scheme that constructs d-coloured random graphs with N vertices and expected degree distribution in time O((d+1)N). Using this algorithm we can inexpensively compute solutions to the multiplicative multicomponent Smoluchowski's equation (and consequently to Burgers' inviscid equation) at any time before solution blow up, hence resolving the curse of dimen- sionality for this problem.
Collections
Related items
Showing items related by title, author, creator and subject.
-
Solving stochastic differential equations via ordinary differential equations
Vleming, Jannes (2025)Stochastic differential equations (SDEs) are a useful model for quantities that vary over time. To study its properties, we often have to efficiently solve an SDE numerically. The classical way to obtain high-order strong ... -
Numerical approximation of the replicator equations for the Nash bargaining game.
Sarridis, P. (2011)There is a variety of phenomena that take place around us. A good mathematical tool to analyse and understand the behaviour of these phenomena, is to approximate them numerically. That is, first we model the phenomenon ...