Surface Normal and Parametric Surface?

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Discussion Overview

The discussion revolves around the concepts of surface normal vectors and parametrization of surfaces in the context of Multivariable Calculus and Vector Analysis. Participants explore the nature of surface normals, whether they can be considered as vector fields or position vectors, and the necessity of using two parameters for surface parametrization.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested

Main Points Raised

  • Some participants question whether a surface normal vector can be viewed as a vector field or merely a position vector, with some asserting that a vector field consists of a set of vectors.
  • One participant emphasizes that a surface is inherently two-dimensional, necessitating two independent variables for parametrization.
  • Another participant suggests that position vectors are not universally applicable across different coordinate systems, particularly on curved surfaces like spheres.
  • There is a proposal that while position vectors can be defined from an origin to points on a surface, they do not exist within the surface itself.
  • A participant attempts to generalize the relationship between the dimensionality of space and the number of parameters required for parametrization, suggesting that in R² a single variable suffices, while in R³ at least two variables are needed.
  • Further discussion includes the idea that in higher-dimensional spaces, the number of variables required for parametrization corresponds to the dimension of the surface being represented.

Areas of Agreement / Disagreement

Participants generally agree that a surface is two-dimensional and requires two parameters for its parametrization. However, there is disagreement regarding the interpretation of surface normal vectors and the applicability of position vectors across different coordinate systems.

Contextual Notes

Some limitations are noted regarding the definitions of position vectors and their applicability in non-Cartesian coordinate systems, as well as the assumptions made about the dimensionality of spaces and surfaces.

Calculuser
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I've been working on Multivariable Calculus with a few books. In Vector Analysis, I've had some parts which made some questions come up in my mind. I have two questions about them.

1)Can we think of surface normal vector (\vec{n}) as a vector field (\vec{F}) or just a position vector (\vec{r}) which doesn't make sense to me?

2)Do we always have to parametrize a surface with two variables (\vec{r}(u,v)) which I haven't seen any of (\vec{r}(t)) giving us a single variable parameterized surface? Why?

Thanks..
 
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Calculuser said:
I've been working on Multivariable Calculus with a few books. In Vector Analysis, I've had some parts which made some questions come up in my mind. I have two questions about them.

1)Can we think of surface normal vector (\vec{n}) as a vector field (\vec{F}) or just a position vector (\vec{r}) which doesn't make sense to me?

2)Do we always have to parametrize a surface with two variables (\vec{r}(u,v)) which I haven't seen any of (\vec{r}(t)) giving us a single variable parameterized surface? Why?

Thanks..
I really don't understand question 1, but with regard to question 2: A surface is a 2D entity, and requires two independent variables to establish position within the surface.

Chet
 
Calculuser said:
I've been working on Multivariable Calculus with a few books. In Vector Analysis, I've had some parts which made some questions come up in my mind. I have two questions about them.

1)Can we think of surface normal vector (\vec{n}) as a vector field (\vec{F}) or just a position vector (\vec{r}) which doesn't make sense to me?
We certainly cannot think of a single vector as a vector field since a vector field is a set of vectors. The set of all normal vectors to a given surface form a vector field.

Personally, I would recommend that you forget about "position vectors" entirely. They only make sense, to begin with, in Cartesian coordinates, in a given coordinate system, so are not really general. (Suppose we set up a coordinate system on the surface of a sphere. Do "position vectors", from (0,0) to (\theta, \phi), go <b>through</b> the sphere or do they <b>curve</b> around the sphere? I used to worry a lot about that! Of course the answer is that there are NO "position vector" on such a surface.)<br /> <br /> <blockquote data-attributes="" data-quote="" data-source="" class="bbCodeBlock bbCodeBlock--expandable bbCodeBlock--quote js-expandWatch"> <div class="bbCodeBlock-content"> <div class="bbCodeBlock-expandContent js-expandContent "> 2)Do we always have to parametrize a surface with two variables (\vec{r}(u,v)) which I haven't seen any of (\vec{r}(t)) giving us a single variable parameterized surface? Why? </div> </div> </blockquote> A surface is, pretty much by definition, <b>two</b> dimensional. That <i>means</i> that we need two numbers, whether parameters or not, to identify a point on a surface.<br /> <br /> <blockquote data-attributes="" data-quote="" data-source="" class="bbCodeBlock bbCodeBlock--expandable bbCodeBlock--quote js-expandWatch"> <div class="bbCodeBlock-content"> <div class="bbCodeBlock-expandContent js-expandContent "> Thanks.. </div> </div> </blockquote>
 
HallsofIvy said:
Personally, I would recommend that you forget about "position vectors" entirely. They only make sense, to begin with, in Cartesian coordinates, in a given coordinate system, so are not really general. (Suppose we set up a coordinate system on the surface of a sphere. Do "position vectors", from (0,0) to (\theta, \phi), go <b>through</b> the sphere or do they <b>curve</b> around the sphere? I used to worry a lot about that! Of course the answer is that there are NO "position vector" on such a surface.)
<br /> <br /> I respectfully disagree. If \vec{r}(θ,\phi) represents a position vector from the origin (i.e., the center of the sphere) to a point on the surface of the sphere, then \vec{r}(θ,\phi)=r\vec{i_r}(θ,\phi), where \vec{i_r}(θ,\phi) is the unit vector in the radial direction. A differential position vector within the surface is then given by:<br /> d\vec{r}(θ,\phi)=\frac{\partial \vec{r}(θ,\phi)}{\partial θ}dθ+\frac{\partial \vec{r}(θ,\phi)}{\partial \phi}d\phi=\vec{a_θ}dθ+\vec{a_{\phi}}d\phi<br /> where \vec{a_θ} and \vec{a_{\phi}} represent the coordinate basis vectors in the θ and \phi coordinate directions, respectively.<br /> <br /> In short, even though there are no position vectors within such a surface, position vectors from an arbitrary origin to points on the surface can be used to establish <i>differential position vectors</i> within the surface.
 
We certainly cannot think of a single vector as a vector field since a vector field is a set of vectors. The set of all normal vectors to a given surface form a vector field.

Anyway I know it doesn't mean a single vector. My question is considering whether its notation refers to a vector field or a position vector. Okay, I've considered it correctly then.

A surface is, pretty much by definition, two dimensional. That means that we need two numbers, whether parameters or not, to identify a point on a surface.

Can I generalize the state so that;

In R^{2}, \vec{r} must be at least single variable.
In R^{3}, \vec{r} must be at least two variables.
In R^{n}, \vec{r} must be at least n-1 variables. ??
 
Calculuser said:
Can I generalize the state so that;

In R^{2}, \vec{r} must be at least single variable.

This is a line.
In R^{3}, \vec{r} must be at least two variables.
You can also use r in this case as a function of a single variable to define a curved line in space.

In R^{n}, \vec{r} must be at least n-1 variables. ??
Even in higher dimensional spaces, r as a function of two variables is still a 2D surface. In this case, r as a function of m=1,...,n-1 variables is an m dimensional "surface." Note that this only works if R^n is a flat space. However, some people (myself included) are comfortable with assuming that the m dimensional curved "surface" is immersed in a higher dimensional flat space. For example, in general relativity, I have no qualms about imagining that curved 4D space-time is immersed in a higher dimensional flat space.
 
Okay, I guess I got it. Thanks for help..
 

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