When can grad(u)=(b-u)N be solved, and how?

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Homework Help Overview

The discussion revolves around the equation ∇u = (b-u)N, where b is a scalar-valued function and N is a vector-valued function. Participants explore the conditions under which this equation can be solved, particularly focusing on the implications of coordinate transformations and the nature of the functions involved.

Discussion Character

  • Exploratory, Mathematical reasoning, Problem interpretation

Approaches and Questions Raised

  • Participants discuss the potential to solve the equation by defining a new orthonormal basis and transforming coordinates. There are considerations about the requirements for these transformations, including the behavior of the functions involved and the necessity of certain conditions for the existence of solutions.

Discussion Status

There is an ongoing exploration of the mathematical framework surrounding the problem, with some participants suggesting alternative approaches to the coordinate transformation and questioning the nature of the resulting equations. The discussion reflects a mix of ideas and interpretations without reaching a consensus.

Contextual Notes

Some participants note assumptions regarding the behavior of the functions, such as ignoring singular behavior and the requirement for certain derivatives to match. There is also mention of the complexity of the resulting equations, indicating that the problem may not yield straightforward solutions.

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b(x) is a scalar-valued function, and N(x) a vector valued-function, taking on arguments in R^n. Not actually for schoolwork, but academic nonetheless.
 
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If we can ignore singular behavior ([tex]\vec{N}\neq 0[/tex], [tex]b(x)-u(x) \neq 0[/tex], etc), one way to try to solve

[tex]\nabla u = (b-u)\vec{N}[/tex]

is the following. Define a new orthonormal basis

[tex]\vec{v} = \frac{1}{\sum_i N_i^2} (N_1, \ldots, N_n),[/tex]

[tex]\vec{v}^{(1)}_\perp = \frac{1}{N_1^2+N_2^2} (N_2, -N_1,0,\ldots,0).[/tex]

The other [tex]\vec{v}^{(i)}_\perp[/tex] can be constructed by Gram-Schmidt. So these are all an orthonormal set.

We then note that

[tex]\vec{v} \cdot \nabla u = (b-u)[/tex]

[tex]\vec{v}^{(i)}_\perp \cdot \nabla u = 0.[/tex]

If we can define new coordinates [tex](X,Y_i)[/tex] by inverting

[tex]\frac{\partial}{\partial X} = \vec{v} \cdot \nabla_x,~~\frac{\partial}{\partial Y_i} = \vec{v}^{(i)}_\perp \cdot \nabla_x,[/tex]

then we obtain a first-order ordinary differential equation for [tex]u(X)[/tex]:

[tex]\frac{\partial u}{\partial X} = b- u, ~~ \frac{\partial u}{\partial Y^i} =0.[/tex]

I suspect that one of the requirements for these new coordinates to exist is that [tex]N = \nabla\phi[/tex] for some scalar [tex]\phi[/tex] so that 2nd derivatives match.
 
Excuse my laziness for not using latex.

The coordinate transformation doesn't require an orthonormal set of v's, it just requires that ||v||=1/||N|| and orthogonality. The new coordinates require grad(X) = v = N/||N||^2, but we can lax this condition up by not requiring ||v||=1, in which case the final equations will have du/dX = (b-u) ||v||/||N|| instead, and there need only exist some scalar function phi such that grad(X) = phi N for some X.

In any case, the resulting differential equation is not in fact ordinary, and I still don't know how to solve it...
 
If [tex]\partial u/\partial Y^i =0[/tex], then [tex]u = u(X)[/tex], so the remaining equation is an ODE. The equations that determine the coordinate [tex]X[/tex] are still PDEs, but are likely to be simpler than the original equation for u.
 
Last edited:
Oh woops, I was being silly.
 

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