Abstract. We prove a theorem on the continuity with respect to a parameter and an analogue of Fubini's theorem for integrals with respect to a general stochastic measure defined on Borel subsets of R. These results are applied to study the stochastic heat equation considered in a mild as well as in a weak form.
IntroductionLet X be an arbitrary set, let B be the σ-algebra of subsets of X, and let (Ω, F, P) be a complete probability space. By L 0 = L 0 (Ω, F, P), we denote the set of all random variables (more precisely, the P-equivalent classes of random variables). The convergence in L 0 means the convergence in probability.The measure μ is not assumed to be nonnegative or adapted. In what follows the symbol μ denotes a stochastic measure on B.Below are some examples of stochastic measures.is a stochastic measure defined on Borel subsets of [a, b]. 2. Similarly, the integral with respect to a fractional Brownian motion B H (x) with the Hurst index H > 1/2 defines a stochastic measure (this follows from inequality (1.5) of [1]).3. Other examples and conditions that increments of a stochastic process with independent increments generate a stochastic measure can be found in Sections 7 and 8 of [2].An integral of the form A h(x) dμ(x), A ∈ B, is constructed and its properties are studied in [3] for a measurable nonrandom function h : X → R. The construction is standard and uses an approximation by simple functions. (A similar construction is presented in Section 7 of [2]; also see [4]). In particular, every measurable bounded function h is integrable with respect to an arbitrary stochastic measure μ. An analogue 2010 Mathematics Subject Classification. Primary 60G57, 60H15, 60H05.