Can a Cross Product Determine a Gradient Vector for a Non-Function Surface?

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Homework Help Overview

The discussion revolves around the relationship between cross products and gradient vectors in the context of parametric equations and surfaces. Participants explore whether the cross product of partial derivatives of a parametric representation yields a gradient vector or a vector related to the gradient.

Discussion Character

  • Conceptual clarification, Assumption checking, Problem interpretation

Approaches and Questions Raised

  • Participants examine the implications of using parametric equations and the definitions of gradient vectors versus normal vectors. Questions arise about the nature of surfaces and whether they can possess gradients, leading to confusion over terminology and representation.

Discussion Status

The conversation is ongoing, with participants expressing confusion and seeking clarification on the distinctions between scalar and vector functions, as well as the implications of different parameterizations of surfaces. Some guidance has been offered regarding the relationships between gradients and normal vectors, but no consensus has been reached.

Contextual Notes

There is a noted distinction between surfaces represented as position vectors and those defined by scalar functions, which is contributing to the confusion among participants. The discussion reflects a lack of clarity on the definitions and properties of gradients in relation to surfaces.

fk378
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This is a general question. If we have a parametric equation r(u,v) and we take r_u and r_v, then take their cross product, does it give us the gradient vector? Or just a vector parallel to the gradient vector?
 
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If r(u,v) has a gradient vector, then it's a scalar function. If r_x and r_y are vectors then r is a vector function. Which is it? I don't get you.
 
I just edited my original post; I meant r_u X r_v would give a vector orthogonal to the tangent plane. And since the gradient is also (r_u, r_v), is this vector the same vector?
 
fk378 said:
I just edited my original post; I meant r_u X r_v would give a vector orthogonal to the tangent plane. And since the gradient is also (r_u, r_v), is this vector the same vector?
You mean to say the gradient of the surface described by a scalar function. Well there are two possible vectors for r_u X r_v, you might end up getting the inward pointing normal vector instead.
 
If r is a scalar function, r_u and r_v are scalars. There is no cross product. If r(u,v) is a vector function then r_u x r_v is a normal to the surface defined by r(u,v), but then there is no gradient. Someone is confused here, and I don't think it's me.
 
You are using the terminology incorrectly. A function has a gradient, not a surface.

If a surface is given by f(x,y,z)= constant, the grad f is perpendicular to the surface.
If that surface is written as a position vector [itex]\vec{r}(u,v)[/itex], then [itex]\vec{r}_u\times\vec{r}_v[/itex] is also perpendicular to the surface. Your question is whether those two vector must also have the same length.

The answer is "no" because the gradient of f is a specific vector while different parameterizations of the surface f(x,y,z)= constant will give vectors of different length.
 
Dick said:
If r is a scalar function, r_u and r_v are scalars. There is no cross product. If r(u,v) is a vector function then r_u x r_v is a normal to the surface defined by r(u,v), but then there is no gradient. Someone is confused here, and I don't think it's me.


Why would a surface not have a gradient?

And yes I am confused, which is why I'm asking questions, but I appreciate your input.
 
fk378 said:
Why would a surface not have a gradient?

And yes I am confused, which is why I'm asking questions, but I appreciate your input.

The big confusion here is that you have two different representations of the surface, as a position vector [itex]\vec{r}(u,v)[/itex] and as a level surface by R(x,y,z)=C. Those two r's are completely different objects. You are confusing me (at least) by labeling them the same and using them interchangeably. As Halls said, if r and R do happen to represent the same surface, then, yes, the cross product and the gradient are parallel, not necessarily equal.
 
fk378 said:
Why would a surface not have a gradient?
Because a surface isn't a function. Think of it this way: The unit 2-sphere is the locus of points in R3 that satisfy [itex]x^2+y^2+z^2-1=0[/itex]. Note well: [itex]2x^2+2y^2+2z^2-2=0[/itex] also describes the unit 2-sphere. The gradients of the functions [itex]x^2+y^2+z^2-1[/itex] and [itex]2x^2+2y^2+2z^2-2[/itex] are obviously different.
 

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