What is the Ito-Doeblin Formula?

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In summary, the text discusses the proof for why the higher order terms in the statement dW(t)dW(t) = dt, where W(t) is a Brownian motion, vanish. The explanation is that the term W_t=\sqrt{t} B, where B is N(0,1), and the properties of N(0,t) allow for the third and higher powers of dW to be smaller order than dt and thus vanish when summed over a partition and dt is approached to 0.
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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).
 
  • #3
[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.
 

1. What is the Ito-Doeblin formula?

The Ito-Doeblin formula, also known as the Ito chain rule, is a mathematical formula used in stochastic calculus to calculate the derivative of a stochastic process. It is named after Japanese mathematician Kiyoshi Ito and French mathematician Joseph Doeblin.

2. When is the Ito-Doeblin formula used?

The Ito-Doeblin formula is used in the field of stochastic calculus to solve problems involving stochastic processes, which are random processes that evolve over time. It is commonly used in finance, physics, and other fields where random processes are involved.

3. How does the Ito-Doeblin formula differ from the standard chain rule?

The Ito-Doeblin formula is used to find the derivative of a stochastic process, which includes a random element. Unlike the standard chain rule, which is used for deterministic functions, the Ito-Doeblin formula takes into account the variability of the stochastic process and incorporates a term known as the stochastic differential.

4. What are the applications of the Ito-Doeblin formula?

The Ito-Doeblin formula has many applications in various fields, including finance, physics, economics, and engineering. It is used to model and analyze random processes such as stock prices, interest rates, and particle movement. It is also used in the development of mathematical models for complex systems.

5. Are there any limitations to the Ito-Doeblin formula?

While the Ito-Doeblin formula is a powerful tool in stochastic calculus, it has some limitations. It can only be applied to processes that are continuous and differentiable, and it cannot be used for non-linear functions. Additionally, it requires knowledge of advanced mathematical concepts such as measure theory and stochastic integration.

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