Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Improving Eigenvectors({{1,0,0}, {-2,1,0}, {0,1,1}}) #979

Open
tranleduy2000 opened this issue May 1, 2024 · 1 comment
Open

Improving Eigenvectors({{1,0,0}, {-2,1,0}, {0,1,1}}) #979

tranleduy2000 opened this issue May 1, 2024 · 1 comment

Comments

@tranleduy2000
Copy link
Collaborator

tranleduy2000 commented May 1, 2024

Here is the input:

Eigenvectors({{1,0,0},
{-2,1,0},
{0,1,1}})

The current implement shows the following errror:

image

The Det of the input matrix is 1

Det[  {{1,0,0}, {-2,1,0}, {0,1,1}}  ] = 1

Expected result:

{{0,0,1},{0,0,0},{0,0,0}} 
@tranleduy2000 tranleduy2000 changed the title Improved Eigenvectors({{1,0,0}, {-2,1,0}, {0,1,1}}) Improving Eigenvectors({{1,0,0}, {-2,1,0}, {0,1,1}}) May 1, 2024
@axkr
Copy link
Owner

axkr commented May 1, 2024

Hipparchus is checking sub-matrices for singularity, not the matrix itself:
image

@axkr axkr added the hipparchus label May 1, 2024
axkr added a commit that referenced this issue May 27, 2024
- Hipparchus-Math/hipparchus#337
- lower the epsilon criteria for final AV=VD check in Eigen
decompositions
  Config.DEFAULT_EPSILON_AV_VD_CHECK = 1.0e-4
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
Development

No branches or pull requests

2 participants