We use the stochastic Garlekin method to solve a linear transport equation with random data. Following the ideias of the method, the statiscal solution is projected on the space generated by generalized Polynomials Chaos, a basis for the space of random functions. Numerical simulations compare our results with the Monte Carlo simulations.
quantification of uncertainty; stochastic Galerkin method; generalized Polynomials Chaos