Surface integrals of vector fields, normal - does scaling matter?

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The discussion centers on the confusion regarding the scaling of the gradient when considering surface integrals of vector fields, specifically for the plane x = 0. It highlights that while the gradient of a function can change with scaling, the surface element must account for this change to maintain consistency in calculations. The key point is that the normal vector to the surface is parallel to the gradient, and any scalar factor introduced must be properly handled in the surface integral. The participants clarify that different parameterizations yield different results, but the underlying principles remain valid. Ultimately, the resolution emphasizes that the parameterization affects the bounds and calculations, ensuring the integrity of the results.
laser1
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Source: https://tutorial.math.lamar.edu/Problems/CalcIII/SurfIntVectorField.aspx

Alright so my confusion lies in the following step: Consider the side x = 0. Okay, from the formula (I am just going to insert an image here)

WhatsApp Image 2024-10-24 at 11.23.22.jpeg

Okay, so gradient of f would just be <1, 0, 0>, which is simply i, which agrees with the solution. However, what if I said that the plane x = 0 is equivalent to the plane 2x = 0? Then the gradient would be <2, 0, 0>, which changes the problem! There must be a flaw in my logic here, but I can't figure it out. Thanks!
 
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The plane kx = 0 has surface element dy\,dz. Its unit normal is \pm \mathbf{e}_x, so d\mathbf{S} = \pm\mathbf{e}_x\,dy\,dz.

What appears in your image implies dS = \|\nabla f\|\,dA, which is a change of variable from (y,z) to something different. Working out the detail there should cancel the 2 you introduced into \nabla f = 2\mathbf{e}_x.
 
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pasmith said:
What appears in your image implies dS = \|\nabla f\|\,dA
Oh, is this not correct then? Edit: I am not fully sure what you are saying
 
The normal of a level surface of f is parallel to \nabla f, ie. there is some non-zero scalar field k such that <br /> \frac{\partial \mathbf{r}}{\partial u} \times \frac{\partial \mathbf{r}}{\partial v} = k(u,v)\nabla f so that <br /> d\mathbf{S} = \frac{\partial \mathbf{r}}{\partial u} \times \frac{\partial \mathbf{r}}{\partial v}\,du\,dv =<br /> k \nabla f \,du\,dv and dS = |k|\|\nabla f\|\,du\,dv. The actual source of your error is to assume k \equiv 1.

If you parametrize f(x,y,z) = Cx = 0, C \neq 0, as \mathbf{r}(u,v) = u\mathbf{e}_y + v\mathbf{e}_z then you find d\mathbf{S} = <br /> \frac{\partial \mathbf{r}}{\partial u} \times \frac{\partial \mathbf{r}}{\partial v}\,du\,dv = \mathbf{e}_y \times \mathbf{e}_z\,du\,dv = \mathbf{e}_x\,du\,dv = \frac1C \nabla f\,du\,dv so that k \equiv \frac1C.
 
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pasmith said:
The normal of a level surface of f is parallel to \nabla f, ie. there is some non-zero scalar field k such that <br /> \frac{\partial \mathbf{r}}{\partial u} \times \frac{\partial \mathbf{r}}{\partial v} = k(u,v)\nabla f so that <br /> d\mathbf{S} = \frac{\partial \mathbf{r}}{\partial u} \times \frac{\partial \mathbf{r}}{\partial v}\,du\,dv =<br /> k \nabla f \,du\,dv and dS = |k|\|\nabla f\|\,du\,dv. The actual source of your error is to assume k \equiv 1.

If you parametrize f(x,y,z) = Cx = 0, C \neq 0, as \mathbf{r}(u,v) = u\mathbf{e}_y + v\mathbf{e}_z then you find d\mathbf{S} =<br /> \frac{\partial \mathbf{r}}{\partial u} \times \frac{\partial \mathbf{r}}{\partial v}\,du\,dv = \mathbf{e}_y \times \mathbf{e}_z\,du\,dv = \mathbf{e}_x\,du\,dv = \frac1C \nabla f\,du\,dv so that k \equiv \frac1C.
Thanks, that makes sense! What about this other example?
1729852873593.png

It seems equally as valid to parameterise a surface as <0, 2y, 2z>, where y and z can be any number, to represent x = 0. Yet the results suggest otherwise!
 
The general case for f(x,y,z) = x = 0 is \mathbf{r} = y(u,v)\mathbf{e}_y + z(y,v)\mathbf{e}_z, with <br /> d\mathbf{S} = \mathbf{e}_x \left( \frac{\partial y}{\partial u}\frac{\partial z}{\partial v} - \frac{\partial z}{\partial u}\frac{\partial y}{\partial v}\right)\,du\,dv and <br /> dS = \left| \frac{\partial y}{\partial u}\frac{\partial z}{\partial v} - \frac{\partial z}{\partial u}\frac{\partial y}{\partial v} \right|\,du\,dv which you should recognise as the change of variable formula for a double integral, <br /> dy\,dz = \left| \frac{\partial y}{\partial u}\frac{\partial z}{\partial v} - \frac{\partial z}{\partial u}\frac{\partial y}{\partial v} \right|\,du\,dv.
 
pasmith said:
The general case for f(x,y,z) = x = 0 is \mathbf{r} = y(u,v)\mathbf{e}_y + z(y,v)\mathbf{e}_z, with <br /> d\mathbf{S} = \mathbf{e}_x \left( \frac{\partial y}{\partial u}\frac{\partial z}{\partial v} - \frac{\partial z}{\partial u}\frac{\partial y}{\partial v}\right)\,du\,dv and <br /> dS = \left| \frac{\partial y}{\partial u}\frac{\partial z}{\partial v} - \frac{\partial z}{\partial u}\frac{\partial y}{\partial v} \right|\,du\,dv which you should recognise as the change of variable formula for a double integral, <br /> dy\,dz = \left| \frac{\partial y}{\partial u}\frac{\partial z}{\partial v} - \frac{\partial z}{\partial u}\frac{\partial y}{\partial v} \right|\,du\,dv.
I don't follow, sorry. In one example I get ##\textbf{i}## and in the other example I get ##\textbf{4i}## for the same equation.
 
laser1 said:
I don't follow, sorry. In one example I get ##\textbf{i}## and in the other example I get ##\textbf{4i}## for the same equation.
resolved: the parameterisation is different, so the bounds will change accordingly. All is fine! :)
 

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