The Fundamental Theorem for Line Integrals

In summary: You should arrive at a similar result. Substitute this into the equation you didn't use and then you should be able to determine what ##g(y)## is (it's a constant of integration, so it doesn't depend on x). Once you determine what ##g(y)## is, you can find ##f(x,y)##.Now, in summary, to determine if f(x,y) is a conservative vector field, first find Fx and Fy, then equate them to f_x and f_y respectively. If they are equal, then f is a conservative vector field. If F is a conservative vector field, then F is equal to the gradient of f. To find the potential function f, integrate one of the equations
  • #1
Chas3down
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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..
 
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  • #2
[itex]
\vec \nabla f=<\partial_x f,\partial_y f>=\vec F=<F_x,F_y> \Rightarrow \left\{ \begin{array}{c} f=\int F_x dx \\ f=\int F_y dy \end{array} \right.
[/itex]
 
  • #3
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.
 

Related to The Fundamental Theorem for Line Integrals

What is the Fundamental Theorem for Line Integrals?

The Fundamental Theorem for Line Integrals is a theorem in multivariable calculus that relates the value of a line integral to the values of a given function along a closed curve in a vector field. It is an extension of the Fundamental Theorem of Calculus for single-variable integrals.

What is a line integral?

A line integral is a type of integral that computes the area under a curve in a vector field. It is computed along a given path, or curve, in the field and takes into account both the magnitude and direction of the vector field.

What is the difference between a closed and open curve?

A closed curve is a path that forms a complete loop, while an open curve does not. In the context of the Fundamental Theorem for Line Integrals, a closed curve is necessary to apply the theorem and calculate the value of the line integral.

What is a vector field?

A vector field is a mathematical concept that assigns a vector to each point in a given space. In the context of the Fundamental Theorem for Line Integrals, the vector field represents the direction and magnitude of the curve being integrated.

How is the Fundamental Theorem for Line Integrals used in real-world applications?

The Fundamental Theorem for Line Integrals has many real-world applications in fields such as physics, engineering, and economics. It is commonly used to calculate work done by a force along a path, electric and magnetic fields, and fluid flow in a pipe, among others.

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