2012 · 61 citations · 20 references
EngineeringPhysicsProbability TheoryStochastic ModelingStochastic ProcessesBrownian MotionCalculus Of VariationsContinuous-time Stochastic ProcessesDiffusion ProcessesStochastic CalculusStochastic Differential EquationsHeat EquationItô CalculusQuadratic VariationSemimartingale ModelsSemimartingalesWeak Convergence Of Stochastic Processes
We consider the solution to a stochastic heat equation. This solution is a random function of time and space. For a fixed point in space, the resulting random function of time, F(t), has a nontrivial quartic variation. This process, therefore, has infinite quadratic variation and is not a semimartingale. It follows that the classical Itô calculus does not apply. Motivated by heuristic ideas about a possible new calculus for this process, we are led to study modifications of the quadratic variation. Namely, we modify each term in the sum of the squares of the increments so that it has mean zero. We then show that these sums, as functions of t, converge weakly to Brownian motion. 1. Introduction. Consider
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