Vector calc, gradient vector fields

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The discussion revolves around determining if the vector field F = (2ye^x)i + x(sin2y)j + 18k is a gradient vector field. Participants suggest using partial derivatives and the equality of mixed second derivatives to verify this. The key condition is that if the mixed partial derivatives are not equal, then F cannot be a gradient vector field. One user confirms that since dg/dxy = sin2y and dg/dyx = 2e^x are not equal, F is not a gradient vector field. The conclusion is that the failure of the mixed derivatives to match indicates F does not meet the criteria for being a gradient vector field.
calculusisrad
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Homework Statement


Is F = (2ye^x)i + x(sin2y)j + 18k a gradient vector field?



The Attempt at a Solution



Yeah I just don't know...I started to find some partial derivatives but I really don't know what to do here. Please help!
 
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hi calculusisrad! :smile:

(try using the X2 button just above the Reply box :wink:)

learn: div(curl) = 0, curl(grad) = 0

does that help? :smile:
 
For any g(x,y), \nabla g= \partial g/\partial x\vec{i}+ \partial g/\partial y\vec{j}+ \partial g/\partial z\vec{k}.

So is there a function g such that
\frac{\partial g}{\partial x}= 2ye^x
\frac{\partial g}{\partial z}= 18
and
\frac{\partial g}{\partial y}= x sin(2y)? One way to answer that is to try to find g by finding anti-derivatives. Another is to use the fact that as long as the derivatives are continuous (which is the case here), the mixed second derivatives are equal:
\frac{\partial}{\partial x}\left(\frac{\partial g}{\partial y}\right)= \frac{\partial}{\partial y}\left(\frac{\partial g}{\partial x}\right)
Is
\frac{\partial x sin(2y)}{\partial x}= \frac{\partial 2ye^x}{\partial y}?
etc.
 
Last edited by a moderator:
Thank you soo much :)
I am still confused, though. So if I can prove that dg/dxy = dg/dyx and dg/dxz = dg/dzx and dg/dyz = dg/dzy , I will have proved that F is a gradient vector field, correct?

I found that dg/dxy = sin2y, and d/dyx = 2e^x. Since they are not equal, that means that F is not a gradient vector field?

Thanks
 
hi calculusisrad! :smile:

(have a curly d: ∂ and try using the X2 and X2 buttons just above the Reply box :wink:)
calculusisrad said:
So if I can prove that dg/dxy = dg/dyx and dg/dxz = dg/dzx and dg/dyz = dg/dzy , I will have proved that F is a gradient vector field, correct?

(your notation is terrible , but …) yes :smile:

this is because you're actually proving that curlF = 0,

and if F is a gradient, then F = ∇φ, and so curlF = (curl∇)φ = 0 :wink:
I found that dg/dxy = sin2y, and d/dyx = 2e^x. Since they are not equal, that means that F is not a gradient vector field?

yup :biggrin:
 
Question: A clock's minute hand has length 4 and its hour hand has length 3. What is the distance between the tips at the moment when it is increasing most rapidly?(Putnam Exam Question) Answer: Making assumption that both the hands moves at constant angular velocities, the answer is ## \sqrt{7} .## But don't you think this assumption is somewhat doubtful and wrong?

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