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.