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

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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 (\vec{N}\neq 0, b(x)-u(x) \neq 0, etc), one way to try to solve

\nabla u = (b-u)\vec{N}

is the following. Define a new orthonormal basis

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

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

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

We then note that

\vec{v} \cdot \nabla u = (b-u)

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

If we can define new coordinates (X,Y_i) by inverting

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

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

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

I suspect that one of the requirements for these new coordinates to exist is that N = \nabla\phi for some scalar \phi 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 \partial u/\partial Y^i =0, then u = u(X), so the remaining equation is an ODE. The equations that determine the coordinate X are still PDEs, but are likely to be simpler than the original equation for u.
 
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Oh woops, I was being silly.
 
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