If a stochastic process indexed by a subset of satisfies
for some , then it has a Continuous modification. More precisely, that modification is locally -Hölder continuous for every .
For a function on the dyadic rationals in , let be its largest absolute adjacent increment on the level- grid. If for , the function extends uniquely to a Hölder continuous function with
Choose with . The level- left approximations differ by at most two grid steps, and each finer approximation adds at most one level increment. Thus the difference is bounded by . For a stochastic process with , the bound makes this series converge in the Lp norm for .

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The Kolmogorov continuity theorem is a fundamental result in the theory of stochastic processes, particularly in the study of Brownian motion and other continuous-time processes. It provides conditions under which a collection of random variables (typically indexed by time) possesses a continuous version, which means that the sample paths of the process can be modified to be continuous with probability one.