Line integral with the inverse square field

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Homework Help Overview

The problem involves calculating a line integral of the vector field F(x) = x / |x|^3 along a straight line from the point (1,0,0) to (2,-2,1). Participants are exploring the nature of the vector field and its potential function.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning, Problem interpretation

Approaches and Questions Raised

  • The original poster attempts to understand how to parameterize the line and whether the vector field is conservative. Questions about the existence of a potential function and how to check for conservativeness are raised.

Discussion Status

Participants are discussing various approaches to the problem, including the possibility of expressing the vector field in terms of a scalar potential and the implications of the field being conservative. Some guidance on parameterization and evaluating the line integral is provided, but no consensus has been reached on a specific method.

Contextual Notes

There is uncertainty regarding the clarity of the vector field definition and the potential function's existence. The discussion includes considerations of the field's symmetry and the use of spherical coordinates for analysis.

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Homework Statement



Integrate F(x) = x / |x|^3 along the straight line from (1,0,0) to (2,-2,1).

Homework Equations



Line integral = int (F dot dx)

The Attempt at a Solution



I don't know where to start. Usually I do line integrals by parameterizing the line and the vector field but I'm not sure what to do with this. Also, is the field centered at (1,0,0)? I don't really understand the question that well. Is this a conservative vector field? How can I check? Can I use the fundamental theorem of calculus? Is there some sort of potential function I can calculate? I just need someone to bump me in the right direction towards those questions.
 
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its a conservative vector field if it can be written in terms of some scalar potential, say [itex]\phi (x)[/itex] .

then the vector field can if the gradient of the field [itex]\vec{F}(x) = \nabla \phi (x)[/itex]
 
if you can do that, the line intergal will just be the diffenerence in potential
 
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How would I go about figuring out what the potential function is?
 
well, that depends exactly what your vector field is, as its not very clear, but wirte the partial dereivatives in terms of the functions & see if anything jumps out at you

otherwise, parameterise your line, in term of say t, then find the vector field at each point on the line given by t and carry out the line intergal. dx will be in a constant dierction along the line

so do you actually mean:

[tex]\vec{F}(x) <br /> <br /> = \frac{\vec{x}} {|\vec{x}|^3} <br /> <br /> = \frac{1}{ (x^2+y^2+z^2)^{\frac{3}{2}} } <br /> <br /> \begin{pmatrix} x \\ y \\ z \end{pmatrix}[/tex]
 
Yeah, that's what I meant...I wasn't sure how to write vector hats. What would the partial derivatives be? I don't know how to express that line without parameterizing it in terms of t, but if t is my only variable then how can I write a gradient field?
 
click on the tex if you want to see how its written

as for doing the line integral, its fine to parametrise in terms of t. you will end up with something like:
[tex]\vec{p}(t) = \vec{a} + t \vec{u}[/tex]

now evaluate value of the gradient field at each point on the line, [itex]\vec{F}(\vec{p}(t))[/itex].
 
as for finding the potential for, it doesn't always exist for an arbitrary vector field

a vector field derived from a scalar potential always has zero curl, so that could be one check

One way to find it is to equate the form of [tex]\nabla \phi(x)[/tex] with your vector field, and see if the resulting partial differential equations are eay to solve.

In this case, due to the symmetry of the field I would try first converting ther fiedl to spherical coordinates, then looking at the gradient in those coords.
 
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Ok I think I got it. Thanks so much for your help!
 
  • #10
no worries - its worth seeing both methods & the potential will usually be quicker if its easy to find
 
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