Eigenvalue Problem and the Calculus of Variations

Join the discussion
Registration is free. Ask a follow-up in this thread, or start your own.
5 replies · 2K views
member 428835
Hi PF!

Given ##B u = \lambda A u## where ##A,B## are linear operators (matrices) and ##u## a function (vector) to be operated on with eigenvalue ##\lambda##, I read that the solution to this eigenvalue problem is equivalent to finding stationary values of ##(Bu,u)## subject to ##(Au,u)=1##, where ##(g,f) = \int fg##.

Can someone explain this to me, or point me in the right direction? I don't see how the two relate.
 
Physics news on Phys.org
Orodruin said:
Did you try applying the method of Lagrange multipliers to the stationary value problem?
Could you elaborate? I've seen something like this done before I think, where ##u = \sum_i \alpha_i w_i## where ##\alpha## is a constant and ##w## is a known trial function. By construction ##(w_i,w_j)=\delta_{ij}##. Then evidently we choose ##\alpha## to minimize ##(Bu,u)## (why?) under the constraint ##\sum \alpha_i^2=1##, and hence we arrive at the eigenvalue problem ##Bu=\lambda u##.
 
joshmccraney said:
Hi PF!

Given ##B u = \lambda A u## where ##A,B## are linear operators (matrices) .

Note that Linear Operator and Matrix coincide only in finite-dimensional spaces. There is no such representation in infinite -dim spaces.
 
StoneTemplePython said:
If you're still trying to tackle the problem of finding eigenvalues of ##B^{-1}A## or ##A^{-1}B## --you posted about this a few months back as I recall, then you may want to check out this thread:

https://www.physicsforums.com/threads/eigenvalues-of-the-product-of-two-matrices.588101
Yes, I definitely did ask about this a while ago. I ended up taking someone's advice on here (don't recall who it was) and used a build in function that worked great (errors were mine but shockingly also the paper's).