In this article, we consider the Parabolic Anderson Model with constant initial condition, driven by a space-time homogeneous Gaussian noise, with general covariance function in time and spatial spectral measure satisfying Dalang's condition. First, we prove that the solution (in the Skorohod sense) exists and is continuous in L p (Ω). Then, we show that the solution has a modification whose sample paths are Hölder continuous in space and time, with optimal exponents, and under the minimal condition on the spatial spectral measure of the noise (which is the same as the condition encountered in the case of the white noise in time). This improves similar results which were obtained in [5,9] under more restrictive conditions, and with sub-optimal exponents for Hölder continuity.
MSC 2010: Primary 60H15; 60H07The noise W is given by a zero-mean Gaussian process {W (ϕ); ϕ ∈ D(R d+1 )} defined on a complete probability space (Ω, F , P ), with covariancex)ϕ 2 (s, y)dxdydtds =: J(ϕ 1 , ϕ 2 ), where γ : R → [0, ∞] and f : R d → [0, ∞] are continuous, symmetric, locally integrable functions, such that γ(t) < ∞ if and only if t = 0; f (x) < ∞ if and only if x = 0.Here D(R d+1 ) is the space of C ∞ -functions on R d+1 with compact support. We denote by H the completion of D(R d+1 ) with respect to ·, · H defined by ϕ 1 , ϕ 2 H = J(ϕ 1 , ϕ 2 ).We assume that f is non-negative-definite (in the sense of distributions), i.e.