Take the 2-minute tour ×
Mathematics Stack Exchange is a question and answer site for people studying math at any level and professionals in related fields. It's 100% free, no registration required.

This is an online solution to one of the problems I'm working on. The question is to analyze the statement at the beginning of each sentence and determine whether its meaningful and if so then is it a vector field or scalar field. However I'm confused by B and D and E. Are these answers incorrect? What should the right answers be?

enter image description here

share|improve this question
    
define, $f$, $F$, grad, and Grad –  yoyo Mar 31 '11 at 20:24
    
Oh sorry f is a scalar function, F is a vector function, and Grad and grad are the same (must have been a typo) and they are the gradient. –  maq Mar 31 '11 at 20:42

3 Answers 3

up vote 3 down vote accepted

(B) is false. We can only take gradients of scalar functions and not vector functions, so in fact $\text{grad }f$ makes sense (i.e. is not meaningless).

(D) is true: $\text{grad }f$ is a vector field.

(E) is true.

share|improve this answer

$f$ = scalar field, $F$ = vector field

Gradient: The vector derivative of a scalar field $f$ is called the gradient, and it can be represented as:

$$\nabla f = {\partial f \over \partial x} \mathbf{\hat{x}} + {\partial f \over \partial y} \mathbf{\hat{y}} + {\partial f \over \partial z} \mathbf{\hat{z}}$$

Divergence: The divergence of a vector field $\vec{F}(x, y, z) = F_x \mathbf{\hat{x}} + F_y \mathbf{\hat{y}} + F_z \mathbf{\hat{z}}$ is a scalar function that can be represented as:

$$\mbox{div}\,\vec F = \nabla \cdot \vec F= {\partial F_x \over \partial x} + {\partial F_y \over \partial y} + {\partial F_z \over \partial z} $$

Curl: The curl of a vector field $\vec{F}(x, y, z) = F_x\mathbf{\hat{x}} + F_y\mathbf{\hat{y}} + F_z\mathbf{\hat{z}}$ is a vector function that can be represented as:

$$\mbox{curl}\;\vec F = \nabla \times \vec F = \left( {\partial F_z \over \partial y} - {\partial F_y \over \partial z} \right) \mathbf{\hat{x}} + \left( {\partial F_x \over \partial z} - {\partial F_z \over \partial x} \right) \mathbf{\hat{y}} + \left( {\partial F_y \over \partial x} - {\partial F_x \over \partial y} \right) \mathbf{\hat{z}}$$


Summary:

| Operator   | Input  | Output |
|------------|--------|--------|
| Gradient   | Scalar | Vector |
| Divergence | Vector | Scalar |
| Curl       | Vector | Vector |

Therefore,

(A) True

(B) False

(C) True

(D) True

(E) True

(F) True

share|improve this answer

Largely depends on what f and F are. If f is a scalar, and F a vector, then the answers are correct. For a better understanding of what curl and divergence are, check out the book called "Mathematical Mechanic."

share|improve this answer
3  
No, (B) is false. –  Jesse Madnick Mar 31 '11 at 22:03

Your Answer

 
discard

By posting your answer, you agree to the privacy policy and terms of service.

Not the answer you're looking for? Browse other questions tagged or ask your own question.