Monday, February 18, 2013

The Directional Derivative


In mathematics, the directional derivative of a multivariate differentiable function along a given vector V at a given point P intuitively represents the instantaneous rate of change of the function, moving through P, in the direction of V. It therefore generalizes the notion of a partial derivative, in which the direction is always taken parallel to one of the coordinate axes. The directional derivative is a special case of the Gateaux derivative.

The directional derivative of a scalar function f( ) = f ( x1,x2,.......xn)

Source: - Wikipedia

Having problem with The Second Derivative keep reading my upcoming posts, i will try to help you.

Examples for the directional derivative:

Example 1:

The directional derivative of the function f = sqrt(x2+y2) in the direction defined through vector 2i + 2j + 2k is known through the scalar product hatn·grad f, where the unit vector hatn is

Solution:-

hatn = (2i+2j+2k) / sqrt (2^2+ 2^2+2^2)

=  (2i + 2j + 2k) / sqrt9

=   2/3 i + 2/3 j + 2/3 k

The gradient of the function f is (0-2)/sqrt(0^2+(-2)^2)

grad f = x / sqrt(x^2+y^2)i  + y / sqrt(x^2+y^2)j+0 k

= (x i+yj) / sqrt(x^2+y^2)  

Therefore the required directional derivative is hatn.gradf =(2/3i+2/3j+2/3k).((x i+yj)/sqrt(x^2+y^2)) = 2/3 (x+y)/sqrt(x^2+y^2)

At the point (0,-2,1) it is equal to 2/3 =(0-2)/sqrt(0^2+(-2)^2)

 = 2/3 x -2/2

 = -2/3



More Examples for the directional derivative:

Example 1:

The directional derivative of the function

f = 2x2 − 2y2

Solution:-

In the unit vector j direction is known through the scalar product j ·rf.

The gradient of the function

f = 2x2 − 2y2 is

rf = 4xi − 4yj

So the directional derivative in the j direction is

j ·rf = j · (4xi − 4yj) = −4y

And at the point (1, 2, 3) it has the value −4 × 2 = −8.

Algebra is widely used in day to day activities watch out for my forthcoming posts on Even Number Chart and neet entrance exam syllabus. I am sure they will be helpful.

Example 2:

The directional derivative of the function

f = 4x2 − 5y2

Solution:-

In the unit vector i direction is known through the scalar product i·rf.

The gradient of the function

f = 4x2 − 5y2 is

rf = 8xi − 10yj

So the directional derivative in the i direction is

i ·rf = i · (8xi − 10yj) = 8x

And at the point (2, 4, 6) it has the value 8 × 2 = 16.

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