Wikiwand AI

Kunita–Watanabe inequality

From Wikipedia, the free encyclopedia

In stochastic calculus, the Kunita–Watanabe inequality is a generalization of the Cauchy–Schwarz inequality to integrals of stochastic processes. It was first obtained by Hiroshi Kunita and Shinzo Watanabe and plays a fundamental role in their extension of Ito's stochastic integral to square-integrable martingales.[1]

Statement of the theorem

Let M, N be continuous local martingales and H, K measurable processes. Then

where the angled brackets indicates the quadratic variation and quadratic covariation operators. The integrals are understood in the Lebesgue–Stieltjes sense.

References

Related Articles

Timelines

Top Qs

Fact Checks