  We study the operator associated to a random walk on $\R^d$ endowed with a
probability measure. We give a precise description of the spectrum of the
operator near $1$ and use it to estimate the total variation distance between
the iterated kernel and its stationary measure. Our study contains the case of
Gaussian densities on $\R^d$.
