- #1
Lancelot59
- 646
- 1
I need to use partial derivatives to prove that
[tex]u(x,t)=f(x+at)+g(x-at)[/tex]
is a solution to:
[tex]u_{tt}=a^{2}u_{xx}[/tex]
I'm stuck on how I'm supposed to approach the problem. I'm lost as to what order I should do the derivations in. I tried making a tree diagram, and I came out like this. The arrow indicates what's under that variable.
u --> f--g
f--> x--t
g-->y--t
Earlier I asked my prof about the concept before I got to this problem and made up a random example using the following functions:
[tex]f(z)[/tex]
[tex]z=x+y[/tex]
[tex]x=t+\lambda[/tex]
[tex]y=\lambda[/tex]
So to find the partial derivative of f with respect to lambda the tree wound up looking like this:
f-->z
z-->x--y
x-->t--lambda
y-->lambda
With the final setup being this:
[tex]\frac{df}{dz}(\frac{\partial z}{\partial x}\frac{\partial x}{\partial \lambda}+\frac{\partial z}{\partial y}\frac{dy}{d\lambda})[/tex]
Which I understand. You take a full derivative of f, which is the derivative of z. To get each part then you need to take partial derivatives of the x and y functions, and since x is dependant on t and lambda you need to partially derive it to lambda, and just take a full derivative of y.
Here however, I can't see how to apply this to this particular problem.
[tex]u(x,t)=f(x+at)+g(x-at)[/tex]
is a solution to:
[tex]u_{tt}=a^{2}u_{xx}[/tex]
I'm stuck on how I'm supposed to approach the problem. I'm lost as to what order I should do the derivations in. I tried making a tree diagram, and I came out like this. The arrow indicates what's under that variable.
u --> f--g
f--> x--t
g-->y--t
Earlier I asked my prof about the concept before I got to this problem and made up a random example using the following functions:
[tex]f(z)[/tex]
[tex]z=x+y[/tex]
[tex]x=t+\lambda[/tex]
[tex]y=\lambda[/tex]
So to find the partial derivative of f with respect to lambda the tree wound up looking like this:
f-->z
z-->x--y
x-->t--lambda
y-->lambda
With the final setup being this:
[tex]\frac{df}{dz}(\frac{\partial z}{\partial x}\frac{\partial x}{\partial \lambda}+\frac{\partial z}{\partial y}\frac{dy}{d\lambda})[/tex]
Which I understand. You take a full derivative of f, which is the derivative of z. To get each part then you need to take partial derivatives of the x and y functions, and since x is dependant on t and lambda you need to partially derive it to lambda, and just take a full derivative of y.
Here however, I can't see how to apply this to this particular problem.
Last edited: