Find $frac{partial}{partial p}$ and $frac{partial}{partial q}$ of $U(f(p) + q^2, g(q)^2)$
$begingroup$
Here's my question:
Suppose $U(x_1, x_2)$ is a differentiable function. Suppose $f(p)$ and $g(q)$ are differentiable functions that depend only on $p$ and $q$ respectively.
Find $frac{partial}{partial p}$ and $frac{partial}{partial q}$ of $U(f(p) + q^2, g(q)^2).$
Be sure to include the value at which each partial derivative is evaluated.
I know the chain rule for multivariable functions has the general look of:
$frac{partial f}{partial t_j} = frac{partial f}{partial x_1}frac{partial x_1}{partial t_j} + frac{partial f}{partial x_2}frac{partial x_2}{partial t_j} + ... + frac{partial f}{partial x_n}frac{partial x_n}{partial t_j}$
I understand that $p$ and $q$ are supposed to be my $t_1$ and $t_2$, and that $x_1$ and $x_2$ are the same. I'm not sure how to apply the chain rule to this though, since $x_1$ is a function of two variables but $x_2$ is a function of just one.
Any ideas of what I'm supposed to do?
Thanks ahead of time.
multivariable-calculus optimization economics chain-rule
$endgroup$
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$begingroup$
Here's my question:
Suppose $U(x_1, x_2)$ is a differentiable function. Suppose $f(p)$ and $g(q)$ are differentiable functions that depend only on $p$ and $q$ respectively.
Find $frac{partial}{partial p}$ and $frac{partial}{partial q}$ of $U(f(p) + q^2, g(q)^2).$
Be sure to include the value at which each partial derivative is evaluated.
I know the chain rule for multivariable functions has the general look of:
$frac{partial f}{partial t_j} = frac{partial f}{partial x_1}frac{partial x_1}{partial t_j} + frac{partial f}{partial x_2}frac{partial x_2}{partial t_j} + ... + frac{partial f}{partial x_n}frac{partial x_n}{partial t_j}$
I understand that $p$ and $q$ are supposed to be my $t_1$ and $t_2$, and that $x_1$ and $x_2$ are the same. I'm not sure how to apply the chain rule to this though, since $x_1$ is a function of two variables but $x_2$ is a function of just one.
Any ideas of what I'm supposed to do?
Thanks ahead of time.
multivariable-calculus optimization economics chain-rule
$endgroup$
add a comment |
$begingroup$
Here's my question:
Suppose $U(x_1, x_2)$ is a differentiable function. Suppose $f(p)$ and $g(q)$ are differentiable functions that depend only on $p$ and $q$ respectively.
Find $frac{partial}{partial p}$ and $frac{partial}{partial q}$ of $U(f(p) + q^2, g(q)^2).$
Be sure to include the value at which each partial derivative is evaluated.
I know the chain rule for multivariable functions has the general look of:
$frac{partial f}{partial t_j} = frac{partial f}{partial x_1}frac{partial x_1}{partial t_j} + frac{partial f}{partial x_2}frac{partial x_2}{partial t_j} + ... + frac{partial f}{partial x_n}frac{partial x_n}{partial t_j}$
I understand that $p$ and $q$ are supposed to be my $t_1$ and $t_2$, and that $x_1$ and $x_2$ are the same. I'm not sure how to apply the chain rule to this though, since $x_1$ is a function of two variables but $x_2$ is a function of just one.
Any ideas of what I'm supposed to do?
Thanks ahead of time.
multivariable-calculus optimization economics chain-rule
$endgroup$
Here's my question:
Suppose $U(x_1, x_2)$ is a differentiable function. Suppose $f(p)$ and $g(q)$ are differentiable functions that depend only on $p$ and $q$ respectively.
Find $frac{partial}{partial p}$ and $frac{partial}{partial q}$ of $U(f(p) + q^2, g(q)^2).$
Be sure to include the value at which each partial derivative is evaluated.
I know the chain rule for multivariable functions has the general look of:
$frac{partial f}{partial t_j} = frac{partial f}{partial x_1}frac{partial x_1}{partial t_j} + frac{partial f}{partial x_2}frac{partial x_2}{partial t_j} + ... + frac{partial f}{partial x_n}frac{partial x_n}{partial t_j}$
I understand that $p$ and $q$ are supposed to be my $t_1$ and $t_2$, and that $x_1$ and $x_2$ are the same. I'm not sure how to apply the chain rule to this though, since $x_1$ is a function of two variables but $x_2$ is a function of just one.
Any ideas of what I'm supposed to do?
Thanks ahead of time.
multivariable-calculus optimization economics chain-rule
multivariable-calculus optimization economics chain-rule
asked Jan 27 at 20:33
user591271user591271
876
876
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$begingroup$
First note that you can defined the functions : $x_1 : (p,q) mapsto f(p)+q^2$ and $x_2 :(p,q) mapsto g(q)^2$. Then we can defined : $G : (p,q) mapsto U(x_1(p,q), x_2(p,q))$.
So we want to calculate : $frac{partial G}{partial p}$. To do so let's use the chain rule :
$$frac{partial G}{partial p}(p,q) = f'(p) frac{partial U}{partial x}(x_1(p,q), x_2(p,q))$$
Note that since $f$ is a function of one variable we have : $f'(p) = frac{partial f}{partial x}(p)$..
We also get using once again the chain rule :
$$frac{partial G}{partial q} = 2q frac{partial U}{partial x} + 2g'(q)g(q) frac{partial U}{partial y}$$
$endgroup$
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$begingroup$
First note that you can defined the functions : $x_1 : (p,q) mapsto f(p)+q^2$ and $x_2 :(p,q) mapsto g(q)^2$. Then we can defined : $G : (p,q) mapsto U(x_1(p,q), x_2(p,q))$.
So we want to calculate : $frac{partial G}{partial p}$. To do so let's use the chain rule :
$$frac{partial G}{partial p}(p,q) = f'(p) frac{partial U}{partial x}(x_1(p,q), x_2(p,q))$$
Note that since $f$ is a function of one variable we have : $f'(p) = frac{partial f}{partial x}(p)$..
We also get using once again the chain rule :
$$frac{partial G}{partial q} = 2q frac{partial U}{partial x} + 2g'(q)g(q) frac{partial U}{partial y}$$
$endgroup$
add a comment |
$begingroup$
First note that you can defined the functions : $x_1 : (p,q) mapsto f(p)+q^2$ and $x_2 :(p,q) mapsto g(q)^2$. Then we can defined : $G : (p,q) mapsto U(x_1(p,q), x_2(p,q))$.
So we want to calculate : $frac{partial G}{partial p}$. To do so let's use the chain rule :
$$frac{partial G}{partial p}(p,q) = f'(p) frac{partial U}{partial x}(x_1(p,q), x_2(p,q))$$
Note that since $f$ is a function of one variable we have : $f'(p) = frac{partial f}{partial x}(p)$..
We also get using once again the chain rule :
$$frac{partial G}{partial q} = 2q frac{partial U}{partial x} + 2g'(q)g(q) frac{partial U}{partial y}$$
$endgroup$
add a comment |
$begingroup$
First note that you can defined the functions : $x_1 : (p,q) mapsto f(p)+q^2$ and $x_2 :(p,q) mapsto g(q)^2$. Then we can defined : $G : (p,q) mapsto U(x_1(p,q), x_2(p,q))$.
So we want to calculate : $frac{partial G}{partial p}$. To do so let's use the chain rule :
$$frac{partial G}{partial p}(p,q) = f'(p) frac{partial U}{partial x}(x_1(p,q), x_2(p,q))$$
Note that since $f$ is a function of one variable we have : $f'(p) = frac{partial f}{partial x}(p)$..
We also get using once again the chain rule :
$$frac{partial G}{partial q} = 2q frac{partial U}{partial x} + 2g'(q)g(q) frac{partial U}{partial y}$$
$endgroup$
First note that you can defined the functions : $x_1 : (p,q) mapsto f(p)+q^2$ and $x_2 :(p,q) mapsto g(q)^2$. Then we can defined : $G : (p,q) mapsto U(x_1(p,q), x_2(p,q))$.
So we want to calculate : $frac{partial G}{partial p}$. To do so let's use the chain rule :
$$frac{partial G}{partial p}(p,q) = f'(p) frac{partial U}{partial x}(x_1(p,q), x_2(p,q))$$
Note that since $f$ is a function of one variable we have : $f'(p) = frac{partial f}{partial x}(p)$..
We also get using once again the chain rule :
$$frac{partial G}{partial q} = 2q frac{partial U}{partial x} + 2g'(q)g(q) frac{partial U}{partial y}$$
answered Jan 27 at 22:39
ThinkingThinking
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