Divergence and Curls

What do you mean by "help"? Tell you what "divergence" and "curl" of a vector function mean? Okay but I am surprised that your teacher didn't tell you that, or your text book did not have the definitions, before you were given this problem!

Given a "vector valued function", F=f(x,y,z)i+g(x,y,z)j+h(x,y,z)k\displaystyle \vec{F}= f(x,y,z)\vec{i}+ g(x,y,z)\vec{j}+ h(x,y,z)\vec{k}, where f, g, and h are differentiable functions of the three independent variables, x, y, and z, the "divergence" of F\displaystyle \vec{F} (also denoted by "div F\displaystyle \vec{F}" or F\displaystyle \nabla\cdot\vec{F} is given by fx+gy+hz\displaystyle \frac{\partial f}{\partial x}+ \frac{\partial g}{\partial y}+ \frac{\partial h}{\partial z}. If we think of "\displaystyle \nabla" as the (purely symbolic) "vector operator" xi+yj+zk\displaystyle \frac{\partial}{\partial x}\vec{i}+ \frac{\partial}{\partial y}\vec{j}+ \frac{\partial}{\partial z}\vec{k}, then divergence of F\displaystyle \vec{F} can be thought of as the "dot product" of \displaystyle \nabla and F\displaystyle \vec{F}.

In this problem, f(x,y,z)=xcos(πy)\displaystyle f(x,y,z)= x cos(\pi y). What is fx\displaystyle \frac{\partial f}{\partial x}? g(x,y,z)=2x2πsin(πy)2y2ez\displaystyle g(x,y,z)= \frac{2x^2}{\pi}sin(\pi y)- 2y^2e^{-z}. What is gy\displaystyle \frac{\partial g}{\partial y}? And h(x,y,z)=yez\displaystyle h(x,y,z)= ye^{-z}. What is hz\displaystyle \frac{\partial h}{\partial z}?

The "curl" is a little more complicated! Given the same F\displaystyle \vec{F} as above, curlF=(hygz)i+\displaystyle curl \vec{F}= \left(\frac{\partial h}{\partial y}- \frac{\partial g}{\partial z}\right)\vec{i}+(fzhx)j+\displaystyle \left(\frac{\partial f}{\partial z}- \frac{\partial h}{\partial x}\right)\vec{j}+ (gxfyk)\displaystyle \left(\frac{\partial g}{\partial x}- \frac{\partial f}{\partial y}\vec{k}\right).

That can be thought of as the "cross product" of the "vector operator", \displaystyle \nabla, and the vector function F\displaystyle \vec{F}, and conveniently remembered as the (symbolic) determinant ijkxyzf(x,y,z)g(x,y,z)h(x,y,z)\displaystyle \left|\begin{array}{ccc}\vec{i} & \vec{j} & \vec{k} \\ \frac{\partial}{\partial x} & \frac{\partial}{\partial y} & \frac{\partial}{\partial z} \\ f(x,y,z) & g(x,y,z) & h(x,y,z) \end{array}\right|.
 
Thank you for your help. Would this be considered a conservative vector field?
Thank you
 
Okay, do you know what the definition of "conservative vector field" is? Again, I would expect that you would have at least learned the definition before you were given a problem like this but you write this as if you had no idea!

"conservative" is actually a physics term related to a "conservative force field", like gravity, as opposed to a non-conservative force, like friction. In mathematics the corresponding concept is "exact differential". Given a function of 2 or more variables, say ϕ(x,y,z)\displaystyle \phi(x,y,z), its gradient is ϕ=ϕxi+ϕyj+ϕzk\displaystyle \nabla \phi= \frac{\partial \phi}{\partial x}\vec{i}+ \frac{\partial \phi}{\partial y}\vec{j}+ \frac{\partial \phi}{\partial z}\vec{k}.

The question is, given a vector field, f(x,y,z)i+g(x,y,z)j+h(x,y,z)k\displaystyle f(x,y,z)\vec{i}+ g(x,y,z)\vec{j}+ h(x,y,z)\vec{k} that looks like a derivative, is it really? Does there exist a function ϕ\displaystyle \phi such that ϕ\displaystyle \nabla \phi is equal to f(x,y,z)i+g(x,y,z)j+h(x,y,z)k\displaystyle f(x,y,z)\vec{i}+ g(x,y,z)\vec{j}+ h(x,y,z)\vec{k}? (In physics terms, ϕ\displaystyle \phi would be the "potential energy field" for this "conservative force field".)

One way to determine that would be to actually try to find that function, ϕ\displaystyle \phi. But a simpler test depends on the fact that, for a reasonable function, ϕ\displaystyle \phi, the "mixed second derivatives" do not depend on the order of the derivatives. That is ϕxy\displaystyle \frac{\partial \phi}{\partial x\partial y} is the same whether you do the derivative with respect to x first, then the derivative with respect to y or vice-versa. If f=ϕx\displaystyle f= \frac{\partial\phi}{\partial x} then fy=ϕ2xy\displaystyle \frac{\partial f}{\partial y}= \frac{\partial \phi^2}{\partial x\partial y}. If g=ϕy\displaystyle g= \frac{\partial\phi}{\partial y} then gx=ϕyx\displaystyle \frac{\partial g}{\partial x}= \frac{\partial \phi}{\partial y\partial x} so we must have fy=gx\displaystyle \frac{\partial f}{\partial y}= \frac{\partial g}{\partial x}.

Similarly, we must have fz=hx\displaystyle \frac{\partial f}{\partial z}= \frac{\partial h}{\partial x} and gz=hy\displaystyle \frac{\partial g}{\partial z}= \frac{\partial h}{\partial y}.
(This is sometimes called the "cross derivative test".)

In this exercise we have f=xcos(πy)\displaystyle f= x cos(\pi y), g=2x2πsin(πy)2y2ez\displaystyle g= \frac{2x^2}{\pi}sin(\pi y)- 2y^2e^{-z}, and h=yez\displaystyle h= ye^{-z}.

What are gx\displaystyle \frac{\partial g}{\partial x} and fy\displaystyle \frac{\partial f}{\partial y}?
What are hx\displaystyle \frac{\partial h}{\partial x} and fz\displaystyle \frac{\partial f}{\partial z}?
What are gz\displaystyle \frac{\partial g}{\partial z} and hy\displaystyle \frac{\partial h}{\partial y}?
 
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