Gradient of Surface: Find the Gradient Vector of z=(x^2)*(y^3) at A(1,1)

In summary, the gradient vector of the surface z=(x^2) * (y^3) at point A(1,1) is <2x(y^2) , 3(y^2)(x^2) , -1>.
  • #1
magorium
9
0

Homework Statement



Find the gradient vector of surface z=(x^2) * (y^3) at A(1,1).

Homework Equations





The Attempt at a Solution


I am confused with book's solution.
Books solution is :

f(x,y,z) = (x^2) * (y^3) - z

grad(f) = < 2x(y^2) , 3(y^2)(x^2) , -1 >
at A(1,1) = <2 , 3 , -1>


The reason of my confusion is , since z=(x^2) * (y^3) , z looks like a function of x and y.
if we create a function f(x,y,z) = (x^2) * (y^3) - z , then we see f(x,y,z)=0. So doesn't differentiation of f becomes an implicit differentiation ?

P.S. I know thinking as implicit doesn't effects the result here but z might have been 2z or z^2
 
Physics news on Phys.org
  • #2
magorium said:
The reason of my confusion is , since z=(x^2) * (y^3) , z looks like a function of x and y.
if we create a function f(x,y,z) = (x^2) * (y^3) - z , then we see f(x,y,z)=0. So doesn't differentiation of f becomes an implicit differentiation ?

P.S. I know thinking as implicit doesn't effects the result here but z might have been 2z or z^2

When you head in the direction along the surface, you obey f(x,y,z)=0. When you head towards f(x,y,z)=1, you may do so orthogonally to the surface, which is the direction of the gradient. The gradient conceptually relies on the value of f(x,y,z) varying.

I guess I'm not sure on what your question about implicit differentiation is. Is it implicit? The gradient I believe is an explicit derivative.

Ah, I think I see wehre the confusion lies.

f(x,y,z)=0 is an implicit function.

z=x^2*y^3 is an explicit function for the same surface.

But grad f is an explicit derivative (from the family of curves, f=c). We might've called it an implicit derivative if we had wanted to dig a partial out or something. But we never did, we wanted the explicit derivative.
 
Last edited:
  • #3
Since f(x,y,z)=c is a level surface , it's gradient is explicit i see. Thanks for the answer. The real problem is , our Calculus teacher said "You will not need level curves and level surfaces so i am not going to teach them" and passed out them completely. (Yeah pretty awkward.) So that's why i am failing on that. Doesn't even know what is a level surface or level curve. He just teached , that's the function , that's it's grad , and that's how you find the directional derivative. So I believe since we haven't told the level surface , level curve , tangent planes , normal vectors etc. he can't ask something like that one.
 

FAQ: Gradient of Surface: Find the Gradient Vector of z=(x^2)*(y^3) at A(1,1)

What is the gradient of a surface?

The gradient of a surface is a vector that points in the direction of the steepest increase of a scalar field. It represents the rate of change of the scalar field at a specific point on the surface.

How is the gradient of a surface calculated?

The gradient of a surface is calculated by taking the partial derivatives of the scalar field with respect to each independent variable (usually x, y, and z in three-dimensional space), and then combining these derivatives into a vector. This vector points in the direction of the steepest increase of the scalar field.

What does the magnitude of the gradient of a surface represent?

The magnitude of the gradient of a surface represents the steepness of the surface at a given point. A larger magnitude indicates a steeper surface, while a smaller magnitude indicates a flatter surface.

How is the gradient of a surface used in real-world applications?

The gradient of a surface is used in fields such as physics, engineering, and geology to analyze and model changes in various physical phenomena, such as temperature, pressure, or elevation. It is also used in computer graphics to create realistic 3D surfaces.

Can the gradient of a surface be negative?

Yes, the gradient of a surface can be negative. This indicates that the surface is decreasing in value in the direction of the gradient vector. A positive gradient indicates an increase in value.

Back
Top