Let be a harmonic function such that for all . There are then many well-established classical results:the Dirichlet problem and Poisson formula, Harnack inequality, the Maximum Principle, the Mean Value Property etc. Here, a ‘noisy’ or random domain is one for which there also exists a classical scalar Gaussian random field (GRF) defined for all or with respect to a probability space . The GRF has vanishing mean value and a regulated covariance ${{}}[![{{\mathscr{J}}(x)} \otimes {{\mathscr{J}}(y)}]!] = \alpha J(x,y;\xi)(x,y)\in{}(x,y)\in{\partial}\xi{{}}[![{{\mathscr{J}}(x)} \otimes {{\mathscr{J}}}(x)]!] = \alpha<\infty\nabla{{\mathscr{J}}(x)}\int_{{}}{\mathscr{J}}(x) d\mu(x){}\bigcup\partial$. Harmonic functions and potentials can become randomly perturbed GRFs of the form . Physically, this scenario arises from noisy sources or random fluctuations in mass/charge density, noisy or random boundary/surface data; and introducing turbulence/randomness into smooth fluid flows, steady state diffusions or heat flow. This leads to stochastic modifications of classical theorems for randomly perturbed harmonic functions and Riesz and Newtonian potentials; and to stability estimates and bounds for the growth and decay of their volatility and moments.

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