What is the Ito-Doeblin Formula?

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SUMMARY

The Ito-Doeblin Formula establishes that the differential of Brownian motion, denoted as dW(t), satisfies the equation dW(t)dW(t) = dt. This conclusion arises from the properties of Brownian motion W(t), specifically that W_t = √t B, where B follows a normal distribution N(0,1). The analysis shows that the expected value of the square of the increment, E[(δW_t)^2], equals δt, while the expected value of the cube, E[|δW_t|^3], is proportional to δt^{3/2}. Consequently, higher-order terms vanish when summed over a partition as dt approaches zero.

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BWV
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Reading through a proof on why the higher order terms vanish and it makes this statement

dW(t)dW(t) = dt

where W(t) is a Brownian motion

It is not obvious to me why this is the case, but the text seems to infer that it is because no further explanation is offered
 
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It may have to do with [tex]W_t=\sqrt{t} B[/tex] where [tex]B[/tex] is N(0,1).
 
[itex]\delta W_t \sim N(0,t)[/itex]. It follows that [itex]E[(\delta W_t)^2]=\delta t[/itex] and [itex]E[|\delta W_t|^3]={\rm const}\times \delta t^{3/2}[/itex]. So third and higher powers of dW are smaller order than dt on average , and therefore vanish if you sum them over a partition and let dt->0.
 

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