I use Matrix class in ruby to caculate eigenvalues and eigenvectors. With this code:
m = Matrix[[0.6868,0.6067],[0.6067,0.5978]]
v, d, v_inv = m.eigensystem
the correct result should be:
[ 1.25057433 0.03398123]
[[ 0.73251454 -0.68075138]
[ 0.68075138 0.73251454]]
which I confirmed with numpy
using Python.
However, I got the result below:
d=[[0.033970204576497576, 0],
[0, 1.2506297954235022]]
v=[[0.6807528514962294, 0.7325131774785713],
[-0.7325131774785713, 0.6807528514962294]]
Is this a ruby's bug? My ruby's version below:
ruby 2.1.2p95 (2014-05-08 revision 45877) [x86_64-linux]
This would be by no mean an answer, but I’ll put it here for the sake of formatting:
When it comes to math, I would use r to check the correctness of the result:
> entries <- c(0.6868, 0.6067, 0.6067, 0.5978)
> input <- matrix(entries, nrow=2, byrow=TRUE)
> input
# [,1] [,2]
# [1,] 0.6868 0.6067
# [2,] 0.6067 0.5978
> input_eigen <- eigen(input)
> input_eigen
$values
# [1] 1.2506298 0.0339702
$vectors
# [,1] [,2]
# [1,] -0.7325132 0.6807529
# [2,] -0.6807529 -0.7325132
I trust the result above, which means ruby is probably doing better, than python/numpy.