An\'alise Assint\'otica de Solu\c{c}\~oes de Equa\c{c}\~oes Difusivas   N\~ao-Lineares via M\'etodos de Escalas M\'ultiplas
  In the present work we shall describe and apply the techniques of the Renormalization Group - based in data rescaling and operator renormalizing - and of Homogenization - that substitutes, in a certain limit, a periodically inhomogeneous medium by a homogeneous one - for the study of asymptotic behavior of solutions of PDE's.   One class of problems studied in this dissertation consists of nonlinear, diffusive differential equations with periodic coefficients, that supposedly model the diffusion in a heterogeneous medium. Our study of these problems involves arguments originated from the two techniques described above. This makes, in certain sense, a connection between both of them.   Another class of problems studied here consists of nonlinear, diffusive equations with time dependent coefficients, originated from montecarlo simulation of the asymptotic behavior of the averaged solutions of stochastic differential equations modeling the phenomenon of two-phase flow in porous media.   Using the Renormalization Group we shall classify the problems in accordance with their qualitative behavior. This classification will be verified numerically. We shall also study the curve of phase transition that separates asymptotic regimes predominantly linear and nonlinear. The main results presented in this work are given by a numerical version of the Renormalization Group, which will be described in detail in the body of this dissertation. 
Leonardo Rolla