How to find a partial derivative from such a complicated object

In summary: W(n)g(n)dn+h(n^{*})W(n^{*})G^{*}}{1-(1-h(n^{*}))G^{*}}-U\right]}{-c+m(\theta)J'(0)}\right)In summary, to extract \d{\theta}{\nu} from the given equilibrium equation, we can use the chain rule and differentiate both sides with respect to \nu.
  • #1
Giovanni1
1
0
Hi guys.

I have the following equilibrium equation from which I want to extract \(\displaystyle \d{\theta}{\nu}\)


\(\displaystyle z+\theta m(\theta)[\,\frac{\int_{0}^{n^*} \,W(n)g(n)dn+h(n^{*})W(n^{*})G^{*}}{1-(1-h(n^{*}))G^{*}}-U\,]=-c+m(\theta)J'(0)\)

Where \(\displaystyle \nu, z, c, n, r, \delta, \xi\) are parameters, m(.), w(.) and h(.) are functions, and G(.) is a CDF. W(n), J(n) and U are Bellman equations of the following form:

\(\displaystyle (r+\delta+\xi)W(n)=w(n)+[m(\theta)-\delta n]W'(n)+(\delta+\xi)U
\)


\(\displaystyle (r+\delta)J(n)=F(n)+\nu-nw(n)+max\{0;-c+m(\theta)J'(n)\}-\delta nJ'(n) \)\(\displaystyle rU=z+\theta m(\theta)[\,\frac{{\int_{0}^{n^*} \,}W(n)g(n)dn+h(n^{*})W(n^{*})G^{*}}{1-(1-h(n^{*}))G^{*}}-U\,]
\)Moreover, \(\displaystyle W'(n), J'(n)\) are with respect to \(\displaystyle n\in[0,\infty)\)

Thank you
 
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  • #2
for sharing your equilibrium equation with us. To extract \d{\theta}{\nu} from this equation, we can use the chain rule and differentiate both sides with respect to \nu.

Starting with the left side of the equation:

\d{}{\nu}\left(z+\theta m(\theta)\left[\frac{\int_{0}^{n^*}W(n)g(n)dn+h(n^{*})W(n^{*})G^{*}}{1-(1-h(n^{*}))G^{*}}-U\right]\right)

Applying the chain rule, we get:

\d{}{\nu}\left(z\right)+\d{}{\nu}\left(\theta m(\theta)\right)\left[\frac{\int_{0}^{n^*}W(n)g(n)dn+h(n^{*})W(n^{*})G^{*}}{1-(1-h(n^{*}))G^{*}}-U\right]+\theta m(\theta)\left[\d{}{\nu}\left(\frac{\int_{0}^{n^*}W(n)g(n)dn+h(n^{*})W(n^{*})G^{*}}{1-(1-h(n^{*}))G^{*}}\right)\right]

Using the quotient rule, we can further simplify the last term:

\theta m(\theta)\left[\frac{\d{}{\nu}\left(\int_{0}^{n^*}W(n)g(n)dn+h(n^{*})W(n^{*})G^{*}\right)(1-(1-h(n^{*}))G^{*})-\left(\int_{0}^{n^*}W(n)g(n)dn+h(n^{*})W(n^{*})G^{*}\right)\d{}{\nu}\left((1-(1-h(n^{*}))G^{*}\right)}{(1-(1-h(n^{*}))G^{*})^2}\right]

Now, moving on to the right side of the equation:

\d{}{\nu}\left(-c+m(\theta)J'(0)\right)

Applying the chain rule and using the fact that J'(0) = 0, we get:

\d{}{\nu}\left(-c\right)+\d{}{\nu}\left(m(\theta)\right)J'(0)

Combining the left and right sides, we
 

FAQ: How to find a partial derivative from such a complicated object

What is a partial derivative?

A partial derivative is a mathematical concept that measures the rate of change of a function with respect to one of its variables, while holding all other variables constant. It is used to analyze how a function changes in a specific direction.

How do you find a partial derivative?

To find a partial derivative, you must differentiate the function with respect to the variable you are interested in while treating all other variables as constants. This can be done using the rules of differentiation, such as the power rule, product rule, and chain rule.

What is the purpose of finding a partial derivative?

Finding a partial derivative allows us to better understand the behavior of a function in a specific direction. It is often used in multivariable calculus and optimization problems to find critical points and determine the rate of change of a function at a given point.

Can a function have multiple partial derivatives?

Yes, a function can have multiple partial derivatives, one for each variable. For example, a function of two variables would have two partial derivatives, one with respect to each variable.

Are there any limitations to calculating partial derivatives?

Yes, there are limitations to calculating partial derivatives. Some functions may not have a well-defined partial derivative at certain points, and others may require advanced techniques such as implicit differentiation or the use of multiple partial derivatives.

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