Ito's lemma/taylor series vs. differential of a function

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The discussion centers on the differences between Ito's lemma and the standard differential of a function in multivariable calculus. Specifically, it highlights that while the standard differential df includes only first-order terms, Ito's lemma incorporates higher-order terms, such as dx², which are significant in stochastic calculus. This distinction arises because higher-order terms cancel out in non-stochastic calculus but are essential in stochastic calculus due to the nature of stochastic processes. The conversation emphasizes the need to understand the foundational differences between Riemannian calculus and stochastic calculus.

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  • Understanding of multivariable calculus, specifically differentials.
  • Familiarity with stochastic calculus concepts, particularly Ito's lemma.
  • Knowledge of Taylor series expansion and its application in calculus.
  • Basic comprehension of stochastic processes and their properties.
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  • Study the derivation and application of Ito's lemma in stochastic calculus.
  • Explore the differences between Riemannian calculus and stochastic calculus.
  • Learn about stochastic differentials and their significance in modeling random processes.
  • Review Taylor series and their role in both deterministic and stochastic frameworks.
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Mathematicians, financial analysts, and students studying stochastic calculus or those interested in the application of calculus in probabilistic models.

saminator910
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for a function f(x,t)

Ito's lemma (from Taylor series) to get df

df = \frac{\partial f}{\partial x} dx + \frac{\partial f}{\partial t} dt + \frac{\partial^{2} f}{\partial x^{2}} dx^{2} + ...

higher order terms, but they cancel out in stochastics.

but this seems to contradict the standard differential of a function from multivatiable calculus

df = \frac{\partial f}{\partial x} dx + \frac{\partial f}{\partial t} dt

I don't get why they are different, can anyone explain?
 
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saminator910 said:
for a function f(x,t)

Ito's lemma (from Taylor series) to get df

df = \frac{\partial f}{\partial x} dx + \frac{\partial f}{\partial t} dt + \frac{\partial^{2} f}{\partial x^{2}} dx^{2} + ...

higher order terms, but they cancel out in stochastics.

but this seems to contradict the standard differential of a function from multivatiable calculus

df = \frac{\partial f}{\partial x} dx + \frac{\partial f}{\partial t} dt

I don't get why they are different, can anyone explain?

The differential also includes higher-order terms, which are routinely ignored in non-stochastic calculus. But in the stochastic calculus, you need to keep the dx^2 term because on substituting dx = a dt + b dW you find that dx^2 includes a term of order dW^2 = dt.
 
Thanks, but I don't get how the higher order terms can just be ignored. Like you said, in stochastic calculus any term greater than dx^{2} is canceled out, because dt^{2}=dWdt=0. So it makes sense that we wouldn't include them in Ito's lemma.
 
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Hey, anybody have any ideas?
 
I don't know the answer, but I will at least try to brainstorm a little bit.

I would guess that the differential is defined differently in the stochastic calculus than in regular calculus. In regular calculus, a differential df is a synonym for an infinitesimal. Is the same true in the stochastic calculus? I do not know - but either way, I think what the issue comes down to is that some of the premises for developing normal calculus no longer apply, thus motivating the development of the Stochastic calculus in the first place. With a different set of postulates come different definitions and theorems, and this is probably one such.

So in other words I think the issue you mention is probably a symptom of a fundamental difference between Riemennian calculus and stochastic calculus. If this is right, your best bet to find an answer to your question is to read what postulates go into the stochastic calculus and see how it is developed from those postulates, and probably you will run into the result you are looking for fairly quickly.

Here are some links that might be good starting points.
http://en.wikipedia.org/wiki/Differential_(calculus )
http://en.wikipedia.org/wiki/Stochastic_differential
http://en.wikipedia.org/wiki/Ito_calculus
http://en.wikipedia.org/wiki/Bounded_variation
http://www.columbia.edu/~ks20/FE-Notes/4700-07-Notes-Ito.pdf

Good luck!
 
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