On a stochasticprocess determined by the conditional expectation and the conditionalvariance

The aim of this paper isto give a characterization theorem for Gaussian processes.It is wellknown that for Gaussian processes the conditional expectation is alinear function of the states of the process and the conditionalvariance is a deterministic function. In the presentpaper we show aconverse implication. We prove that these two conditions and Lipschitz condition for the covariance function characteristicGaussian processes. The proof is based on a limit theorem for sums ofdependent random variables.