Understanding the Gradient Theorem for Vector Calculus Problems

In summary, this conversation is about checking the gradient theorem for a scalar field and discussing resources for better understanding vector calculus problems. The suggested resources include "div grad curl and all that" by Schey and online examples found through a Google search for "vector calculus."
  • #1
math_04
23
0

Homework Statement



Check the gradient theorem for the scalar field T= x^2 + 4xy + 2yz^3 and the paths

a) (0,0,0) to (1,0,0) to (1,1,0) to (1,1,1)

Homework Equations



Equations = none well maybe divergence of a vector field= (df/dx)*x + (df/dy)*y + (df/dz)* z where x,y and z are vectors.

The Attempt at a Solution



This is actually from a tutorial in electromagnetism, and from reading Griffiths introduction to electrodynamics, the following definition is given for gradient theorem.

T(b) - T(a) = integral of the dot product of del T and dl.

Ok, I gave a shot at the solution and tried to solve it, got it wrong, tried to write up the solution here and gave up because it would be hard to understand without symbols.

All I need to know is whether there are better resources on the web to help solve these kind of problems (well explained examples etc). Unfortunately, Griffiths's examples arent great and very poorly explained which leaves me totally baffled :frown:
 
Physics news on Phys.org
  • #2
It sounds like you need more experience in doing vector calculus problems. Try "div grad curl and all that" by Schey. If you need online examples, a quick search of Google for "vector calculus" gives many good results.
 

Related to Understanding the Gradient Theorem for Vector Calculus Problems

1. What is the gradient theorem?

The gradient theorem, also known as the fundamental theorem of calculus for line integrals, states that the line integral of a scalar field over a curve is equal to the difference of the scalar field evaluated at the endpoints of the curve.

2. How is the gradient theorem used in physics?

The gradient theorem is used in physics to calculate the work done by a conservative force on a particle moving along a curve. By representing the force as a scalar field, the work can be calculated by evaluating the line integral along the curve.

3. What is the relationship between the gradient theorem and the fundamental theorem of calculus?

The gradient theorem is a generalization of the fundamental theorem of calculus, which states that the definite integral of a function is equal to the difference of its antiderivative evaluated at the endpoints. The gradient theorem applies this concept to vector fields and line integrals.

4. Can the gradient theorem be applied to any type of curve?

Yes, the gradient theorem can be applied to any smooth curve, as long as the scalar field is continuous along the curve. It is also applicable to closed curves, where the starting and ending points are the same.

5. Are there any limitations to the gradient theorem?

The gradient theorem requires the scalar field to be continuous along the curve and differentiable at every point. It also assumes that the curve is smooth and does not have any sharp turns or corners. If these conditions are not met, the gradient theorem may not be applicable.

Similar threads

  • Calculus and Beyond Homework Help
Replies
8
Views
582
  • Calculus and Beyond Homework Help
Replies
9
Views
887
  • Calculus and Beyond Homework Help
Replies
7
Views
1K
  • Calculus and Beyond Homework Help
Replies
21
Views
3K
  • Calculus and Beyond Homework Help
Replies
1
Views
988
  • Calculus and Beyond Homework Help
Replies
6
Views
1K
Replies
4
Views
1K
  • Calculus and Beyond Homework Help
Replies
1
Views
1K
  • Calculus and Beyond Homework Help
Replies
7
Views
2K
  • Calculus and Beyond Homework Help
Replies
8
Views
1K
Back
Top