We'll note the given vector as v = 2i +
3j.
For the beginning, we'll have to determine the gradient
vector at the point (1 , 2).
Since the function is of 2
variables, the gradient of the function is the vector
function:
Grad f(x,y) = [df(x,y)/dx]*i +
[df(x,y)/dy]*j
[df(x,y)/dx] and [df(x,y)/dy] are the
partial derivatives of the function.
Grad f(x,y) = 2x*y^3*i
+ (3x^2*y^2 - 4)*j
Grad f(1,2) = 2*2^3*i + (3*2^2 -
4)*j
Grad f(1,2) = 16*i +
8*j
Now, we'll have to determine the unit vector in the
direction of v:
u = v/|v|
|v|
= sqrt(2^2 + 3^2)
|v| = sqrt(4 +
9)
|v| = sqrt 13
u =
2*i/sqrt13 + 3*j/sqrt13
Now, we have all elements to
calculate the directional derivative at the point
(1,2):
Df(1,2) = Grad f*u = (16*i + 8*j)*(2*i/sqrt13 +
3*j/sqrt13)
Since i*i = i^2 = 1 and i*j = 0, we'll
get:
Df(1,2) = 32/sqrt13 +
24/sqrt13
Df(1,2) =
56/sqrt13
Df(1,2) =
56*sqrt13/13
The directional derivative of
the given function, at the point (1,2), is : Df(1,2) =
56*sqrt13/13.
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