0
$\begingroup$

How will you measure divergence in a way other than using the dot product of Nabla (∇)operator? For example, here I have another way of finding the gradient (normal) without using the Nabla (∇) operator.

Objective:To find the gradient (normal) for $x^2 + y^2 -8$ at (2,2)

The usual method is below:- Grad($x^2 + y^2 -8$)= ∇($x^2 + y^2 -8$)=2xi+2yj -> normal
Therefore, the gradient at (2,2) is obtained by substituting in the above ‘normal’. Gradient is 4i+4j-> vector1

Here is another method:-

dy/dx=-x/y

dy/dx(2,2)=-1

We know that the product of slope of normal and slope of tangent is -1. So, the slope of normal here is 1.

The vector for line with slope ‘m’ is i+mj

Our required vector is i+(1)j = i+j -> vector2

See, vector1= vector2 (I have obtained normal (gradient) without using nabla operator).

Can anyone provide a different (intuitive) way of measuring curl and divergence? Maybe, something like take a infinitesimally small circle and integrate all the radial components to find the curl.

Here the notations are clearer

  • 0
    MathJaX formatting would be greatly helpful here, for readability.2017-02-12
  • 0
    A suggested reading is the directional derivative. This defines the relationship between vectors and gradients.2017-02-12

0 Answers 0