Curvilinear coordinate system: Determine the standardized base vectors

  • #1
Karl Karlsson
104
11
Homework Statement:
Determine the standardized base vectors in the curvilinear coordinate system $$\begin{cases} u_1 = x^2-y^2 \\ u_2 = xy \\ u_3 = z\end{cases}$$
Relevant Equations:
$$\begin{cases} u_1 = x^2-y^2 \\ u_2 = xy \\ u_3 = z\end{cases}$$
How I would have guessed you were supposed to solve it:
IMG_0716.jpg


What you are supposed to do is just take the gradients of all the u:s and divide by the absolute value of the gradient? But what formula is that why is the way I did not the correct way to do it?

Thanks in advance!
 

Answers and Replies

  • #2
pasmith
Homework Helper
2022 Award
2,592
1,196
The position vector is always [itex]\mathbf{r}(u,v,w) = (x(u,v,w),y(u,v,w),z(u,v,w))[/itex]. Here you are given [itex]u(x,y,z)[/itex] etc., and you would have to invert this to get [itex](x,y,z)[/itex] in terms of [itex](u,v,w)[/itex], but you don't have to.

The basis vector [itex]\mathbf{e}_{u_i}[/itex] points in the direction of increasing [itex]u_i[/itex] and is normal to surfaces of constant [itex]u_i[/itex]. The vector [itex]\nabla u_i[/itex] does exactly this.

Now it turns out that if the [itex]\nabla u_i[/itex] are orthogonal then [itex]\nabla u_i[/itex] and [itex]\frac{\partial \mathbf{r}}{\partial u_i}[/itex] are parallel.
 
  • #3
Karl Karlsson
104
11
The position vector is always [itex]\mathbf{r}(u,v,w) = (x(u,v,w),y(u,v,w),z(u,v,w))[/itex]. Here you are given [itex]u(x,y,z)[/itex] etc., and you would have to invert this to get [itex](x,y,z)[/itex] in terms of [itex](u,v,w)[/itex], but you don't have to.

The basis vector [itex]\mathbf{e}_{u_i}[/itex] points in the direction of increasing [itex]u_i[/itex] and is normal to surfaces of constant [itex]u_i[/itex]. The vector [itex]\nabla u_i[/itex] does exactly this.

Now it turns out that if the [itex]\nabla u_i[/itex] are orthogonal then [itex]\nabla u_i[/itex] and [itex]\frac{\partial \mathbf{r}}{\partial u_i}[/itex] are parallel.
Is it because they have taken ##grad φ = \sum_{i} \frac {1} {h_i} \frac {\partial φ} {\partial u_i}## and ##φ=u_i##?
 

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