- #1
CrosisBH
- 27
- 4
- Homework Statement
- From Griffith's E&M 1.50b
Show that [tex]\vec{F}_3=yz\hat{x}+zx\hat{y}+xy\hat{z}[/tex] can be written both as the gradient of a scalar and as the curl of a vector. Find scalar and vector potentials for this function.
- Relevant Equations
- None specifically (I think), all I need is the definition of the gradient of a scalar function, and the curl of a vector function.
I want to start off here saying I took the problem has finding a potential function, and not a general solution, so I worked to only find one function that works.
I already confirmed that this function can be written as a curl of a vector function and the gradient of a scalar function.
Since it can:
[tex]\vec{F}_3 = \nabla v[/tex]
and so
[tex]yz = \frac{\partial v}{\partial x}[/tex]
[tex]zx = \frac{\partial v}{\partial y}[/tex]
[tex]xy = \frac{\partial v}{\partial z}[/tex]
Here's where the physicist rigor comes in. I only took the first function and integrated it with respect with x (treating the partial derivitive as a normal derivitive) and got that v = xyz + C(y,z), and I just set the constant = 0 and got a solution of v = xyz.
The second part is what's tripping me. Where I have to write this as a curl of a vector function.
[tex] \vec{F}_3 = \nabla \times \vec{C} [/tex]
I expanded the right hand side out to vector components and got this system:
[tex] yz = \frac{\partial C_z}{\partial y} - \frac{\partial C_y}{\partial z} [/tex]
[tex] xz = \frac{\partial C_x}{\partial z} - \frac{\partial C_z}{\partial x} [/tex]
[tex] xy = \frac{\partial C_y}{\partial x} - \frac{\partial C_x}{\partial y} [/tex]
I have no idea how to force a solution out of this, and I don't have the mathematical knowledge to solve this system of PDEs for a general solution. I'm kinda stuck. Any help is appreciated.
I already confirmed that this function can be written as a curl of a vector function and the gradient of a scalar function.
Since it can:
[tex]\vec{F}_3 = \nabla v[/tex]
and so
[tex]yz = \frac{\partial v}{\partial x}[/tex]
[tex]zx = \frac{\partial v}{\partial y}[/tex]
[tex]xy = \frac{\partial v}{\partial z}[/tex]
Here's where the physicist rigor comes in. I only took the first function and integrated it with respect with x (treating the partial derivitive as a normal derivitive) and got that v = xyz + C(y,z), and I just set the constant = 0 and got a solution of v = xyz.
The second part is what's tripping me. Where I have to write this as a curl of a vector function.
[tex] \vec{F}_3 = \nabla \times \vec{C} [/tex]
I expanded the right hand side out to vector components and got this system:
[tex] yz = \frac{\partial C_z}{\partial y} - \frac{\partial C_y}{\partial z} [/tex]
[tex] xz = \frac{\partial C_x}{\partial z} - \frac{\partial C_z}{\partial x} [/tex]
[tex] xy = \frac{\partial C_y}{\partial x} - \frac{\partial C_x}{\partial y} [/tex]
I have no idea how to force a solution out of this, and I don't have the mathematical knowledge to solve this system of PDEs for a general solution. I'm kinda stuck. Any help is appreciated.