Math 2.0

Probability theory and stochastic processes Definition

Stratonovich integral

Builds on SemimartingaleItô calculusQuadratic variationWiener process

Definition

Let XX and YY be continuous real semimartingales on a filtered probability space, and let t≥0t \ge 0. The Stratonovich integral of YY with respect to XX is ∫0tYs∘dXs=∫0tYs dXs+12[Y,X]t.\int_0^t Y_s \circ dX_s = \int_0^t Y_s \, dX_s + \frac12 [Y, X]_t. Here ∫0tYs dXs\int_0^t Y_s \, dX_s is the Itô integral. The process [Y,X][Y, X] is the quadratic covariation of YY and XX.

Remarks

Equivalently, it is the limit in probability of the sums ∑i12(Yti+Yti+1)(Xti+1−Xti)\sum_i \tfrac12 (Y_{t_i} + Y_{t_{i+1}})(X_{t_{i+1}} - X_{t_i}) over partitions 0=t0<⋯<tn=t0 = t_0 < \cdots < t_n = t whose mesh tends to 00. Example: let BB be a Brownian motion with B0=0B_0 = 0. Then ∫0tBs dBs=12(Bt2−t)\int_0^t B_s \, dB_s = \tfrac12 (B_t^2 - t) and [B,B]t=t[B, B]_t = t, so ∫0tBs∘dBs=12Bt2\int_0^t B_s \circ dB_s = \tfrac12 B_t^2. Non-example: the left-point sums ∑iBti(Bti+1−Bti)\sum_i B_{t_i} (B_{t_{i+1}} - B_{t_i}) converge to 12(Bt2−t)\tfrac12 (B_t^2 - t), not to the Stratonovich integral, because they omit the covariation term. For ff three times continuously differentiable, the chain rule takes the classical form f(Xt)=f(X0)+∫0tf′(Xs)∘dXsf(X_t) = f(X_0) + \int_0^t f'(X_s) \circ dX_s. The notation ∘ dX\circ \, dX, with a small circle, marks the Stratonovich integral.

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  1. Itô calculus concept
  2. Quadratic variation concept
  3. Semimartingale concept
  4. Wiener process concept
  5. Stratonovich integral definition

Further reading

  1. Web https://en.wikipedia.org/wiki/Stratonovich_integral
About this page
Tag5W60ZXNYED
URIm2://5W60ZXNYED
Kinddefinition
WritingW0 stub
MSC60H05
DefinesStratonovich integral
UsesSemimartingale, Itô calculus, Quadratic variation, Wiener process
Changed2 November 2026

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