Solving Fredholm Integral Equations of the Second Kind Via Wasserstein Gradient Flows

Motivated by a recent method for approximate solution of Fred-holm equations of the first kind, we develop a corresponding method for a class of Fredholm equations of the second kind. In particular, we consider the class of equations for which the solution is a probability measure. The approach centres around specifying a functional whose gradient flow admits a minimizer corresponding to a regularized version of the solution of the underlying equation and using a mean-field particle system to approximately simulate that flow. Theoretical and numerical support for the method is presented.