Calculus/vector fields
Expert: Paul Klarreich - 2/12/2006
Questionhi again, sorry, here is the question in full:
Show that a spherically symmetric vector field F of the form F = f(r)R is conservative by showing that there exists a potential phi such that F = grad phi
(key: F = bold f and R = bold r hat)
I think r = sqrt(x^2 + y^2 + z^2) making it distance to any point and then R = unit vector field = P/r where P = xi + yj + zk (position vector field)
im having great difficulty with this although im sure its relatively easy! i have a feeling integration is involved to find phi? thanks very much!
AnswerHi, James,
You wrote:
Question: hi again, sorry, here is the question in full:
Show that a spherically symmetric vector field F of the form F = f(r)R is conservative by showing that there exists a potential phi such that F = grad phi
(key: F = bold f and R = bold r hat)
I think r = sqrt(x^2 + y^2 + z^2) making it distance to any point and then R = unit vector field = P/r where P = xi + yj + zk (position vector field)
im having great difficulty with this although im sure its relatively easy! i have a feeling integration is involved to find phi? thanks very much!
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I am afraid this is beyond my recollections of vector fields, and I really don't know what I'm doing here. HOWEVER, that hasn't always stopped me in the past, so I will see what I can do. If what I'm writing is garbage, you know what to do with it.
WARNING: THE MATERIAL BELOW MAY CONTAIN FRACTIONS AND OTHER MATERIAL INAPPROPRIATE FOR CERTAIN COMPUTING SYSTEMS. BE SURE TO VIEW IT IN A FIXED-SIZE FONT, SUCH AS COURIER.
Given some function G(r). What is its gradient? This would be the vector field with components which we now compute:
[Sorry I can't make partial derivative characters -- you'll have to accept d's.]
d d d
< -- G(r), -- G(r), -- G(r) >
dx dy dz
What is the derivative with respect to x?
Using the chain rule,
d DG dr
-- G(r) = -- --
dx Dr dx
-- the capital D is the old-fashioned derivative, the small one is the partial.
Since r = sqrt(x^2 + y^2 + z^2),
dr x x
-- = 1/2 (...)^(-1/2) (2x) = --------- = ---
dx sqrt(...) r
So we have:
d x G'(r)
-- G(r) = -------
dx r
Likewise for the y- and z-components, we get the gradient to be:
G'(r)
----- <x,y,z>
r
So all we have to do now is consider f(r) to be G'(r)/r. Then G'(r) = r f(r), and compute G(r) by integrating. Even if we don't know how to integrate it, we can always write:
{t=r
G(r) = | t f(t) dt
}t=0
and this is your phi(r).
Does any of this make sense? I wish I knew. Good luck.