Dot product between grad f and an arbitrary vector

In summary, the conversation discusses the relationship between the dot product of the gradient of a function and an arbitrary vector, and whether it is equivalent to the derivative of the function with respect to that vector. It is clarified that differentiation with respect to a vector is not possible, and the dot product with an arbitrary unit vector represents the directional derivative, while the dot product with an arbitrary vector is the directional derivative multiplied by the length of the vector. A link is provided for further explanation.
  • #1
guiness
4
0
Given a function f: R^n -> R, a point x in R^n, and an arbitrary vector v in R^n - is the dot product between grad f and v (evaluated at x) the same as df/dv?

If yes, it would be great if someone were to demonstrate a proof.

If no, what should be the correct interpretation of the dot product?
 
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  • #3
The first thing you will have to do is define df/dv! I know, for example, Dvf as the directional derivative Defennder refers to- the rate of change of f in the direction of v which is independent of the length of v. The dot product of grad f with an arbitrary unit vector is the derivative in that direction. The dot product of grad f with an arbitrary vector is the derivative in that direction multiplied by the length of the vector.
 
  • #4
Thanks for the links! It makes sense now.
 

Related to Dot product between grad f and an arbitrary vector

1. What is the dot product between grad f and an arbitrary vector?

The dot product between grad f (gradient of a scalar function) and an arbitrary vector is a mathematical operation that results in a scalar value. It is also known as the scalar product or inner product.

2. How is the dot product between grad f and an arbitrary vector calculated?

The dot product is calculated by multiplying the corresponding components of the two vectors and then adding the products. In other words, it is the sum of the products of the x, y, and z components of the two vectors.

3. What is the significance of the dot product between grad f and an arbitrary vector?

The dot product between grad f and an arbitrary vector is used to determine the angle between the two vectors. It is also useful in calculating the work done by a force in a given direction.

4. Can the dot product between grad f and an arbitrary vector be negative?

Yes, the dot product can be either positive, negative, or zero. It is positive when the two vectors are in the same direction, negative when they are in opposite directions, and zero when they are perpendicular.

5. How is the dot product between grad f and an arbitrary vector related to the directional derivative?

The dot product between grad f and an arbitrary vector is equal to the directional derivative of the scalar function in the direction of the given vector. It represents the rate of change of the function in a given direction.

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