Surface Constant: What Does It Mean & Impact on Gradient?

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Discussion Overview

The discussion revolves around the implications of a surface's equation being equal to a constant and its relationship to the gradient of that surface. Participants explore theoretical aspects of gradients in the context of multivariable functions and their geometric interpretations.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • Some participants question the validity of stating that a surface's equation can be equal to a constant, suggesting that a constant is not an equation.
  • Others clarify that a surface can be described by equations of the form f(x,y,z) = constant, with examples illustrating planes and spheres.
  • There is a discussion about the gradients of these functions, with some participants asserting that the gradient of f(x,y,z) = constant is normal to the surface, while others express confusion about the implications of this relationship.
  • One participant notes that the gradient of a function of several variables is perpendicular to the surface at each point, contrasting this with functions of a single variable.
  • A later reply introduces a more advanced perspective on the relationship between the gradient and tangent vectors on level sets of a smooth map, suggesting a deeper mathematical framework.
  • Some participants express a lack of understanding regarding the relationship between the function being constant and the gradient's properties, indicating a need for clarification.

Areas of Agreement / Disagreement

Participants generally agree on the form of representing surfaces as f(x,y,z) = constant, but there is disagreement and confusion regarding the implications of this representation for the gradient and its geometric interpretation. The discussion remains unresolved in terms of fully clarifying these concepts.

Contextual Notes

Some participants express limitations in their understanding of calculus, which may affect their interpretations of the gradient and its relationship to surfaces. There are also unresolved questions about the validity of certain mathematical steps and definitions used in the discussion.

Summer2442
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Hello,

I wanted to ask what it meant if a surface's equation is equal to a constant. and what does that say about the gradient(surface).

Thanks.
 
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A surface's equation can't be a constant. A constant is an expression, not an equation.
 
So you mean like f(x,y,z)=constant

f(x,y,z) = x + y + z = 35 describes a plane in 3 space

vs

g(x,y,z) = x^2 + y^2 + z^2 = constant describes a sphere in 3 space

what can you say about the gradients of these two examples?
 
yes what i mean is f(x, y, z) = constant,

well for f(x,y,z) the gradient is 1xˆ+1yˆ+zˆ (right?), however for g(x, y, z) it is still a function 2xxˆ+2yyˆ+2zzˆ (right?), does that mean it does not matter, that f(x,y,z) = constant has no effect on the gradient but only the function itself.

if that is the case, then why does it say sometimes that when if f(x,y,z) = constant, then the gradient defines the normal to the surface and that it is perpendicular to dr.

thanks.
 
If we can describe any surface as f(x,y,z)=g(x,y,z) (which we can for most surfaces, regardless of if they can be represented in terms of elementary functions.) This is equivalent to (f-g)(x,y,z)=0, so we can't really say anything about the surface.

I wanted to take the gradient of both sides, but that appears to be invalid.
 
let me be more specific :)

i hope you can see my attachment, i do not understand the relation between a function f(x, y, z) being equal to a constant, and the gradient of that function being perpendicular to a single increment dr? is there are relation, does f(x, y, z) = constant imply anything.

thanks.
 

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Summer2442 said:
Hello,

I wanted to ask what it meant if a surface's equation is equal to a constant. and what does that say about the gradient(surface).

Thanks.
It doesn't really make sense to say that an equation is equal to a constant, but, as others have pointed out, the equation decribing any surface can be written in the form f(x,y,z)= constant. Nor does it make sense to talk about the gradient of a surface. I presume what you mean is the gradient of the function. If you describe a surface as f(x,y,z)= constant, the the gradient of f is a vector normal to the surface at each point. That's discussed in any Calculus class in which the gradient of a function of several variables is defined, isn't it?
 
I am sorry i am a beginner in calculus, so there is a lot that i lack, yes i guess that's the point of my confusion, because I recall that the gradient is tangent to the function, but i guess this only applies for a function dependent on only one variable. but when the function is of several variables then the gradient of that function is normal to the surface at each point. is that right?
 
A general surface is curved and at any point on the surface, X(x1,,y1,z1), there is not a single tangent line, but an infinity of lines forming a tangent plane.

The gradient of a function f(x,y,z) = {\nabla _{{X_1}}}f is perpendicular to this plane.

Do you need a diagram or can you visualise this?
 
Last edited:
  • #10
Hi Summer2442! Consider the family of surfaces (S_{t}) which are levels sets of the smooth map F:\mathbb{R}^{3} \rightarrow \mathbb{R}. So take an element of the family S_{t_{0}} and any p\in S_{t_{0}} and any v tangent to the surface at that point. Consider a regular curve c:(-\varepsilon ,\varepsilon )\rightarrow S_{t_{0}} such that c(0) = p, \dot{c}(0) = v. We have that F(c(t)) = const, \forall t\in (-\varepsilon ,\varepsilon ) so \frac{\mathrm{d} }{\mathrm{d} t}|_{t = 0}F(c(t)) = \triangledown F|_{p}\cdot v = 0. Since this was for an arbitrary point and tangent vector, we can say the gradient of this smooth map is a normal field to the aforementioned family of surfaces.
 
  • #11
No I can visualise, perfect, thanks a lot that really clarified things.

thanks everyone.
 

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