Understanding the concept of the formula for surface area

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Discussion Overview

The discussion revolves around the derivation and understanding of the formula for surface area in the context of calculus, specifically focusing on the use of partial derivatives and their implications for calculating surface area through infinitesimal parallelograms. The conversation includes both conceptual and technical aspects of the formula.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Mathematical reasoning

Main Points Raised

  • One participant expresses confusion about how to calculate surface area when the lengths of the partial derivative vectors change at every point, questioning the validity of approximating surface area with varying sizes of parallelograms.
  • Another participant emphasizes that calculus allows for working with varying sizes at each point, suggesting that this is a fundamental aspect of the method.
  • A different participant raises a concern that the approximation could either overestimate or underestimate the area depending on the lengths of the partial derivative vectors at a given point.
  • One participant clarifies that the surface area of the infinitesimal parallelogram is determined by the magnitude of the cross product of the partial derivatives, and that larger rates of change correspond to larger mapped parallelograms on the surface.
  • Another participant notes that the integral used to calculate surface area is the limit of a sum, indicating that the lengths of the differential vectors should not be excessively long in the limit.
  • One participant suggests that the differential area element dA helps to manage the sizes of the vectors, explaining how the lengths of du and dv become smaller in the limit of the Riemann sum.
  • A later reply proposes a reformulation of the expression to clarify the relationship between the differential elements and the parametrization map, although they acknowledge the complexity of the original formula.

Areas of Agreement / Disagreement

Participants express varying degrees of understanding and confusion regarding the implications of changing vector lengths in the context of surface area calculation. While some points of clarification are made, no consensus is reached on the initial concerns raised about the formula's application.

Contextual Notes

Participants discuss the dependence of the surface area calculation on the behavior of the partial derivatives and the mapping from the (u,v)-plane to the surface, highlighting the need for careful consideration of limits and approximations in the derivation process.

Xyius
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Hey all,

I was reviewing the concepts of how to derive the formula for the surface area, namely..

[tex]SA=\int \int \left\|\frac{\partial \widetilde{r}}{\partial u} \times \frac{\partial \widetilde{r}}{\partial v}\right\| dA[/tex]

(I didn't know how to make vector arrows so I used the tilde sign.)

I understand the concept that in order to approximate a small section of the surface area, you compute the magnitude of the cross product to achieve the area of the parallelogram. However, the thing that is confusing me is, since the two vectors are the partial derivatives and give the rate of change at the point in question, aren't the lengths of the vectors (or the rates of change) changing at every point? So how can you calculate surface area when the parallelograms will be different sizes at each point?
 
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Well, that is, after all, the whole point of Calculus! Using the derivatives allows us to work with things that are "different sizes at each point".
 
No but I mean, at each point, it seems to me that the approximation could either be an over approximation or an under approximation depending on the lengths of the partial derivative vectors.

For example, say at point (x,y) the two partial derivatives have a HUGE rate of change, resulting in two derivative vectors that are very long. Would that not yield a HUGE area of the area of the parallelogram?

Obviously this doesn't happen but I want to understand what is wrong with my logic! :x
 
1. The surface area of the infinitesemal paralllellogram is
[tex]\left\|\frac{\partial \widetilde{r}}{\partial u} \times \frac{\partial \widetilde{r}}{\partial v}\right\| dA[/tex], where dA=du*dv, if a parallellogram is a mapping from a rectangle in the (u,v)-plane.

2. For a fixed angle between the two tangent vectors, this formula DOES mean that if the rates of change are large, then the same rectangle in the (u,v)-plane is mapped onto a larger parallellogram on the surface lying say, in the (x,y,z)-space.
 
\vec{v} gives [tex]\vec{v}[/tex]
 
Xylus: Remember, the integral used to calculate the surface area is the limit of a sum. The lengths of the differential vectors in the limit are not intended to be "very long", because if they are, the limit will probably not approach a fixed value.
 
I think its the dA that chops it down. I.e. dA = dX.dY and when you take the limit in the Riemann sum, the lengths dX and dY get smaller.

If you like, put the dX or I guess its the du, inside the absolute value, on the ∂r/∂u factor, and put the dv inside on the ∂r/∂v factor. then you see you are taking the area of a parallelogram whose sides are not ∂r/∂u and ∂r/dv,

but rather (∂r/∂u).du, and (∂r/∂v).dv. those are short vectors.

Basically the area of a rectangle in the u.v plane can be broken up into the sum of a lot of small rectangles, each of sides du and dv. The surface parametrized by u and v, breaks up also approximately this time, into the sum of a lot of little parallelograms, but all of different sizes. The partials ∂r/∂u, and ∂r/∂v (or their lengths) are multipliers that show how the lengths du and dv get stretched when they are mapped onto the surface.

then as halls said, the method of limits, let's you sum up all those different sized parallelograms to get the surface area in the limit.

good question by the way. to me that clunky formula has almost no visible insight in it whatsoever.

a slightly less mysterious way to write it would be as f'(du.e1)xf'(dv.e2), where f is the parametrization map, and f' is its linear approximation. I.e. the little rectangle in the u,v plane is spanned by du.e1, and dv.e2, so the image parallelogram is spanned by their images under f'. this still stinks though.
 
Last edited:
Thanks everyone! I understand now :)
 

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