The Fundamental Theorem for Line Integrals

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SUMMARY

The discussion focuses on determining whether the vector field f(x,y) = <-3e^(-3x)sin(-3y), -3e^(-3x)cos(-3y)> is conservative. It confirms that f is indeed a conservative vector field, allowing the use of the gradient operator to find a potential function f. The solution involves integrating the components of the vector field and equating them to derive the potential function, emphasizing the relationship between the vector field and its gradient.

PREREQUISITES
  • Understanding of conservative vector fields
  • Knowledge of gradient operators in multivariable calculus
  • Familiarity with integration techniques for vector components
  • Basic concepts of potential functions in vector calculus
NEXT STEPS
  • Study the properties of conservative vector fields in depth
  • Learn about the gradient operator and its applications in vector calculus
  • Explore integration techniques for finding potential functions from vector fields
  • Investigate the relationship between line integrals and conservative fields
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Students and professionals in mathematics, particularly those studying vector calculus, as well as educators looking to enhance their understanding of conservative vector fields and potential functions.

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Homework Statement


Determine whether or not f(x,y) is a conservative vector field.
f(x,y) = <-3e^(-3x)sin(-3y),-3e^(-3x)cos(-3y) >

If F is a conservative fector field find F = gradient of f

Homework Equations


N/A

The Attempt at a Solution



Fx = -3e^(-3x)(-3)cos(-3y)
Fy = -3e^(-3x)(-3)cos(-3y)

f is a conservative fector field
(This part is all correct.)

F = ? + K

It won't accept a vector, I know how to normally find a gradient vector, but that returns a vector, I need a non-vector answer..
 
Last edited:
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<br /> \vec \nabla f=&lt;\partial_x f,\partial_y f&gt;=\vec F=&lt;F_x,F_y&gt; \Rightarrow \left\{ \begin{array}{c} f=\int F_x dx \\ f=\int F_y dy \end{array} \right.<br />
 
Since ##\vec F(x,y)## is conservative, you know ##\vec F(x,y) = \vec{\nabla f(x,y)}## for some potential function ##f##.

This amounts to saying:

##\vec F(x,y) = \vec{\nabla f(x,y)}##
##P \hat i + Q \hat j = f_x \hat i + f_y \hat j##

Equating the vector components: ##P = f_x## and ##Q = f_y##.

So really you want to solve those two equations for some ##f(x,y)##. The usual method would be to integrate one of those two equations to find some ##f(x,y)## that has a constant of integration which varies. For example, taking the first:

$$f(x,y) = \int P dx = P' + g(y)$$

Afterwards, you should look at the equation you didn't use and observe the outcome.
 

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