The interactive film is in the book's Companion

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Itô vs Stratonovich: Left Endpoint or Midpoint

Chapter 19 · Mathematics for AI and Machine Learning · Advanced · 1:46

An interactive live film: two stochastic Riemann sums on the same Brownian path; left endpoint converges to (W_T^2 - T)/2, midpoint converges to W_T^2 / 2, with the gap T/2 emerging from (dW)^2 = dt.

Narration

The stochastic integral of W d W looks familiar, but Brownian motion is nowhere differentiable. The Riemann sum depends on where inside each time step we evaluate the integrand.

The Ito integral evaluates the path at the left endpoint of each interval. It never looks ahead. As the partition refines, this left sum converges to half of W at capital T squared minus capital T.

The rest of the narration is in the book's Companion.

More from Chapter 19

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