Vector calc, gradient vector fields

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Homework Help Overview

The problem involves determining whether the vector field F = (2ye^x)i + x(sin2y)j + 18k is a gradient vector field. Participants are exploring the conditions under which a vector field can be classified as a gradient field.

Discussion Character

  • Conceptual clarification, Assumption checking, Mathematical reasoning

Approaches and Questions Raised

  • The original poster attempts to find partial derivatives and questions how to proceed. Some participants suggest using properties of derivatives, such as the equality of mixed second derivatives, to investigate the nature of the vector field.

Discussion Status

Participants are actively discussing the criteria for a vector field to be a gradient field, with some suggesting that proving the equality of mixed partial derivatives is necessary. There is acknowledgment of confusion regarding the implications of their findings, and some guidance has been offered regarding the relationship between curl and gradient fields.

Contextual Notes

There is mention of notation issues and the need for clarity in mathematical expressions. The discussion reflects uncertainty about the implications of the calculations performed by the original poster.

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:
 

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