Applying Itos Lemma to show one SDE is related to another.

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SUMMARY

The discussion focuses on applying Ito's Lemma to derive the stochastic differential equation (SDE) for the process defined by d√z = (α - β√z)dt + δdW, where α, β, and δ are constants. The correct application of Ito's Lemma reveals that dz = (δ² + 2α√z - 2βz)dt + 2δ√zdW. Key steps include recognizing the transformation y = √z and correctly identifying the drift and diffusion components in the context of the lemma.

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  • Understanding of Ito's Lemma and its application in stochastic calculus.
  • Familiarity with stochastic differential equations (SDEs) and their components.
  • Knowledge of partial derivatives and their role in mathematical modeling.
  • Basic understanding of Wiener processes and their properties.
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  • Study the derivation and applications of Ito's Lemma in various stochastic processes.
  • Explore advanced topics in stochastic calculus, such as Girsanov's theorem.
  • Learn about the implications of different types of SDEs in financial modeling.
  • Investigate numerical methods for solving SDEs, including the Euler-Maruyama method.
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Mathematicians, quantitative analysts, and students of stochastic calculus seeking to deepen their understanding of Ito's Lemma and its applications in modeling stochastic processes.

jend23
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Hello,

Homework Statement


Given the process
<br /> d\sqrt{z} = (\alpha - \beta\sqrt{z})dt + \delta dW<br />

\alpha, \beta and \delta are constants.

Use Ito's Lemma to show that:
<br /> dz = (\delta^2 + 2\alpha\sqrt{z} - 2\beta z)dt + 2\delta\sqrt{z}dW<br />

Homework Equations


Itos Lemma:
<br /> df = \left(\frac{∂f}{∂t} + \frac{1}{2}\frac{∂^2f}{∂W^2}\right)dt + \frac{∂f}{∂W}dW<br />
where t is time and W a Wiener process.


The Attempt at a Solution



Essentially, I have a bit of a mental block about how to start going about solving this. I'm sure it's relatively simple though if I had a hint on the right direction to take.

In the first equation, the diffusion coefficient is:

<br /> \frac{∂f}{∂W} = \delta<br />

The drift is:
<br /> \frac{∂f}{∂t} + \frac{1}{2}\frac{∂^2f}{∂W^2} = \alpha - \beta\sqrt{z}<br />

I also know that dW^2 can be replaced with dt.

To simplify, let y=\sqrt{z} so the SDE becomes:

<br /> dy = (\alpha - \beta y)dt + \delta dW<br />

Can we use the simpler form of Ito's Lemma since drift does not seem to be a function of t i.e. \frac{∂f}{∂t} is 0 and the partial derivatives can become ordinary derivatives?

I don't really know where to go from there. I'm sure I'm missing something simple and obvious. Ideally, if possible I'd like to be given a hint about how to go about solving this problem.

Any help appreciated. Thanks.
 
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jend23 said:
Hello,

Homework Statement


Given the process
<br /> d\sqrt{z} = (\alpha - \beta\sqrt{z})dt + \delta dW<br />

\alpha, \beta and \delta are constants.

Use Ito's Lemma to show that:
<br /> dz = (\delta^2 + 2\alpha\sqrt{z} - 2\beta z)dt + 2\delta\sqrt{z}dW<br />

Homework Equations


Itos Lemma:
<br /> df = \left(\frac{∂f}{∂t} + \frac{1}{2}\frac{∂^2f}{∂W^2}\right)dt + \frac{∂f}{∂W}dW<br />
where t is time and W a Wiener process.


The Attempt at a Solution



Essentially, I have a bit of a mental block about how to start going about solving this. I'm sure it's relatively simple though if I had a hint on the right direction to take.

In the first equation, the diffusion coefficient is:

<br /> \frac{∂f}{∂W} = \delta<br />

The drift is:
<br /> \frac{∂f}{∂t} + \frac{1}{2}\frac{∂^2f}{∂W^2} = \alpha - \beta\sqrt{z}<br />

I also know that dW^2 can be replaced with dt.

To simplify, let y=\sqrt{z} so the SDE becomes:

<br /> dy = (\alpha - \beta y)dt + \delta dW<br />

Can we use the simpler form of Ito's Lemma since drift does not seem to be a function of t i.e. \frac{∂f}{∂t} is 0 and the partial derivatives can become ordinary derivatives?

I don't really know where to go from there. I'm sure I'm missing something simple and obvious. Ideally, if possible I'd like to be given a hint about how to go about solving this problem.

Any help appreciated. Thanks.

You are mis-stating Ito's Lemma. You should have: if dX = a(X,t) dt + b(X,t) dW and if ##Y = f(X,t)##, then
dY = f_{x}(X,t)\, dX + f_t(X,t)\, dt + \frac{1}{2} f_{xx}(X,t) b^2(X,t) dt
In your case,
X = \sqrt{z}, \: Y = X^2.
 
Ray Vickson said:
You are mis-stating Ito's Lemma. You should have: if dX = a(X,t) dt + b(X,t) dW and if ##Y = f(X,t)##, then
dY = f_{x}(X,t)\, dX + f_t(X,t)\, dt + \frac{1}{2} f_{xx}(X,t) b^2(X,t) dt
In your case,
X = \sqrt{z}, \: Y = X^2.

Thanks for the pointer and after reviewing my notes a few more times, it has now become embarrassingly obvious. Much appreciated.

So, we have
<br /> dX = (\alpha - \beta X)dt + \delta dW<br />

<br /> \frac{∂Y}{∂t} = 0, \frac{∂Y}{∂X} = 2x, \frac{∂^2Y}{∂X^2} = 2<br />

therefore, from (slightly different notation and arrangement to your one):

<br /> dY = \left(\frac{∂Y}{∂t} + a(X,t)\frac{∂Y}{∂X} + \frac{1}{2}b(X,t)^2\frac{∂^2Y}{∂X^2}\right)dt + b(X,t)\frac{∂Y}{∂X}dW<br />

we have:

<br /> dY = \left( 0 + (\alpha - \beta X)(2X) + \frac{1}{2}\delta^2(2) \right)dt + \delta(2X)dW<br />

<br /> = \left(2\alpha X - 2\beta X^2 + \delta^2 \right)dt + 2\delta X dW<br />

substituting back ##\sqrt{z}## for ##X## yields the required result.

Thanks again!
 

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