Gradient theorem, why F=-grad(U) ?

In summary, the conversation discusses the use of F=grad(U) in mathematics for calculating line integrals and the use of F=-grad(U) in physics. It is important to consider changes in potential energy when flipping the sign in physics, but not necessarily in mathematics. The fundamental theorem of line integrals is used in both cases.
  • #1
amiras
65
0
I am having difficulties to understand why in mathematics when calculating line integrals using gradient theorem we use F=grad(U), and in physics it is always F=-grad(U)? It seems important to me, because I may end up getting answer with opposite sign.

Is it somehow related to Newton's third law?
 
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  • #2
Only those forces we call "conservative" will be gradients of scalar fields.
You'll meet other types of forces that are not conservative, for example forces of friction.
 
  • #3
If we put them into a common context, then F is a force field. A line integral of F represents the work done by the force field on a free particle that traverses that path. The amount of work done is equal to the particle's gain in kinetic energy, which is equal to its loss of potential energy. So when physicists flip the sign, they are accounting for changes in potential energy rather than changes in kinetic energy.

Outside this physical context, there is no reason to flip the sign. You just use the fundamental theorem of line integrals.
 
  • #4
Vargo said:
If we put them into a common context, then F is a force field. A line integral of F represents the work done by the force field on a free particle that traverses that path. The amount of work done is equal to the particle's gain in kinetic energy, which is equal to its loss of potential energy. So when physicists flip the sign, they are accounting for changes in potential energy rather than changes in kinetic energy.

Outside this physical context, there is no reason to flip the sign. You just use the fundamental theorem of line integrals.

Thank you! This is exactly what I wanted!
 
  • #5
Because forces point downhill. In math, the purer idea is uphill.
 

1. What is the gradient theorem?

The gradient theorem is a fundamental concept in vector calculus that relates a scalar field to its corresponding vector field. It states that the line integral of a vector field over a curve is equal to the difference in the scalar field evaluated at the endpoints of the curve.

2. Why is the gradient theorem important?

The gradient theorem is important because it provides a way to calculate the work done by a conservative force over a given path. It also allows for the determination of potential energy from a given force field.

3. What is F=-grad(U)?

F=-grad(U) is a mathematical expression that represents the relationship between a vector field and its corresponding scalar field. It states that the vector field (F) is equal to the negative gradient of the scalar field (U).

4. How is F=-grad(U) applied in science?

F=-grad(U) is applied in many areas of science, including physics, engineering, and mathematics. It is used to calculate work, potential energy, and other important quantities in various physical systems.

5. Can you provide an example of the gradient theorem in action?

One example of the gradient theorem in action is in calculating the work done by a conservative force, such as gravity, on an object moving along a curved path. The line integral of the force over the path is equal to the change in potential energy, which can be calculated using F=-grad(U).

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