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orthogonalComplement in complexEigs.js should return a vector but returns a matrix #2927
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Thanks for reporting Victor. Can you create a minimal example demonstrating the issue? Something that can be tried out straight in the developer console of https://mathjs.org/ for example, like: const matrix = [...] // array or nested array containing numbers
const eigs = math.eigs(matrix) In the examples you post, there are arrays like |
This will be fixed by the fix to #2879. |
gwhitney
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Oct 2, 2023
Previously, attempting to take the `eigs` of any defective matrix was doomed to fail in an attempt to solve a singular linear system. This PR detects the situation (as best as it can given the inherent numerical instability of the current methods used) and handles it. Note that in such cases, it's not possible to return a square matrix whose columns are the eigenvectors corresponding to the returned eigenvalues. In light of that fact and issue josdejong#3014, this PR also changes the return value of `eigs` so that the eigenvectors are passed back in a property `eigenvectors` which is an array of plain objects `{value: e, vector: v}`. Note that this PR makes the ancillary changes of correcting the spelling of the filename which was "realSymetric.js," and replacing the now-unnecessary auxiliary function "createArray" therein with `Array(size).fill(element)`. The rationale for performing these changes not strictly related to the issues at hand is that this file is rarely touched and with the level of maintenance hours we have at hand, it's more efficient to do these small refactorings in parallel with the actual bugfixes, which are orthogonal and so will not be obfuscated by this refactor. Note `git diff` does properly track the file name change. However, it also makes a potentially more pervasive change: in order for the numerically-sensitive algorithm to work, it changes the condition on when two very close (double) numbers are "nearlyEqual" from differing by less than DBL_EPSILON to differing by less than or equal to DBL_EPSILON. Although this may change other behaviors than the ones primarily being addressed, I believe it is an acceptable change because (a) It preserves all tests. (b) DBL_EPSILON is well below the standard config.epsilon anyway (c) I believe there are extant issues noting the odd/inconsistent behavior of nearlyEqual near 0 anyway, so I believe this will be overhauled in the future in any case. If so, the eigenvector computation will make a good test that a future nearlyEqual algorithm is working well. To be clear, the direct motivation for the change is that there are multiple cases in the eigenvector computation in which a coefficient that is "supposed" to be zero comes out to precisely DBL_EPSILON, which is fairly unsurprising given that these coefficients are produced by subtracting an eigenvalue from a diagonal entry of a matrix, which is likely to be essentially equal to that eigenvalue. As many tests of defective matrices as I could readily find by web searching have been added as unit tests (and one more in the typescript type testing). An additional case I found still fails, but in the _eigenvalue_ computation rather than the _eigenvector_ search, so that was deemed beyond the scope of this PR and has been filed as issue josdejong#3036. Resolves josdejong#2879. Resolves josdejong#2927. Resolves josdejong#3014.
Fixed in |
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Describe the bug
I'm using
math.eigs
by passing a 2D row-major matrix array.Line numbers are from
https://cdnjs.cloudflare.com/ajax/libs/mathjs/11.7.0/math.js
It throws with
I've traced the problem to
![bugBeforeMathjs](https://user-images.githubusercontent.com/4226865/228863086-368e5573-4715-48db-8546-85e6324fe378.png)
![bugAfterMathjs](https://user-images.githubusercontent.com/4226865/228863596-2a9bdee5-5d71-4fdb-8e2f-a09c8ef97eed.png)
orthogonalComplement
atcomplexEigs.js:672
.Here is argument v at the beginning of the function call:
and here it is at the end (which ends up throwing in the dot function from the norm call), including the ortho argument :
To Reproduce
The error is thrown in this demo app but it requires a specific combination of zoom + pan + change rotation origin + rotate while un-zooming to occur. It appears the function only gets invoked when round-off errors accumulate and distort the transformation matrix.
EDIT: I've since changed the code, possibly removing use of
math.eigs
, you can copy paste the code (from the bug occurrence) from here. You also have to add the previously quotedmath.js
script in Settings > JSSidenote
I've also tried to call
math.eigs
with a matrix returned frombut that threw every time. Is that also worth exploring or is that normal?
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