Proof: Everywhere Tangent to Curve?

bakra904
Messages
5
Reaction score
0
Proof: Everywhere Tangent to Curve??

If the function v depends on x and y, v(x,y) and we know there exists some function psi(x,y) such that
vx = partial w.r.t (y) of psi
vy= -(partial w.r.t (x) of psi)

show that the curves psi(x,y) = constant, are everywhere tangent to v.
 
Last edited:
Physics news on Phys.org
Usually you are supposed to show effort to get there, but I think this is a case where either you get it or you don't.

\nabla \psi is normal to surfaces of constant \psi and v\cdot \nabla \psi = 0. Fill in the rest.
 
DavidWhitbeck said:
Usually you are supposed to show effort to get there, but I think this is a case where either you get it or you don't.

\nabla \psi is normal to surfaces of constant \psi and v\cdot \nabla \psi = 0. Fill in the rest.

Thanks a bunch! I'm a new poster and did not know about the effort rule...I had worked on it but did not post what I had worked on.

I was trying to use the fact that if v = \nabla \times \psi,

then that would imply that \psi is a stream function, which in cartesian co-ordinates would reduce to:

Vx = \frac{\partial\psi}{\partial y} and Vy = - \frac{\partial\psi}{\partial x}

which is basically what the problem had to begin with. Then, since I know that \psi (x,y) is a stream function, doesn't it have to be tangent to v by virtue of the fact that its a streamline?
 
Are you trying to curl a scalar field??
 
oh right...i overlooked that part. thanks!
 
so basically v. \nabla\psi = 0 which proves that v and \nabla\psi are perpendicular (since their dot product is 0) and so \psi must be tangent to v
 
Thread 'Use greedy vertex coloring algorithm to prove the upper bound of χ'
Hi! I am struggling with the exercise I mentioned under "Homework statement". The exercise is about a specific "greedy vertex coloring algorithm". One definition (which matches what my book uses) can be found here: https://people.cs.uchicago.edu/~laci/HANDOUTS/greedycoloring.pdf Here is also a screenshot of the relevant parts of the linked PDF, i.e. the def. of the algorithm: Sadly I don't have much to show as far as a solution attempt goes, as I am stuck on how to proceed. I thought...
Back
Top