Talk:Eigenvector

Redirect

It was wrong to redirect eigenvalue to eigenvector. Vectors aren't the only things that can have the, as it were, "eigen-" idea applied to them. For instance, eigenfunctions have eigenvalues. PML.

I agree that it is wrong to redirect eigenvalue to eigenvector and I have corrected this. But your reason is incorrect. Eigenfunctions are vectors in the linear space of functions. wshun

Correction

Note that for infinite dimensional Hilbert spaces, eigenstates only exist in an extension of that space. For example, Dirac delta functions only exist in an extension of L²(R).

Is this really true for all eigenvectors of all linear operators? What about, for example, the stationary states of the hydrogen atom, which are eigenvectors of the Hamiltonian? Josh Cherry 21:35, 14 Oct 2003 (UTC)

No, this is nonsense --MarSch 1 July 2005 20:55 (UTC)

Origin of the term "eigen"

Eigen has some different meanings in German, and there's also a nobel prize winner with that name. In the FAQ of the German newsgroup de.etc.sprache.deutsch [1] they state that the names for "eigenvalue" and "eigenvector" come from the meaning "inherent, characteristic". nikai

Can anyone confirm that the German (or Dutch) word "eigen" is indeed the correct etymology of the words eigenvalue and eigenvector (besides the German etymology faq from above)? It would suggest that a German or Dutch mathematician was the first to use these terms, but I can't find any references of this. Who was first to name an eigenvector an eigenvector? --Anthony Liekens 15:04, 1 Jan 2005 (UTC)

According to [2], David Hilbert first used Eigenwert in 1904. Hermann von Helmholtz coined similar words earlier (like Eigentöne, which were translated as proper tones). -Nikai 14:42, 17 Mar 2005 (UTC)

Eigen means own, as in "my own vector". --MarSch 1 July 2005 20:57 (UTC)

What are they good for?

How about adding some examples what eigenvectors can be used for? Some simple examples for a non-mathematician to understand why we need to know about them. Are they useful for programming, for example? 3D graphics?

Not everything is decomposable

It would be nice to have some link to singular value decomposition via discussion of eigenvectors of :${\begin{pmatrix}1&1\\0&1\end{pmatrix}}$ linas 1 July 2005 14:29 (UTC)

merge with eigenvalue

Apparently this has already been discussed in the past, but I cannot help but notice that eigenvalue has a lot of material which duplicates this articles (or vice versa), unsurprisingly. The one cannot be described in isolation of the other, thus they should be one article. Also eigenspaces should be in this article. Suggested name for this article eigenvalue, eigenvector and eigenspace. --MarSch 1 July 2005 21:37 (UTC)

I am not in principle opposed to the move. I would like to note only that the articles are in rather good shape now, and besides, they also have a lot of nonoverlapping material, and rather different emphasis.

Therefore, please note that merging them will be a lot of work, and since the articles look good the way they are now, nothing less than highest quality of the finalized article will make me happy. If you feel you can devote several days of your life, for combined 8-10 hours to do this, be my guest. Otherwise, there are plenty of other things on Wikipedia needing work than merging these two articles. Oleg Alexandrov 2 July 2005 05:34 (UTC)

Are you kidding? These articles are in pretty bad shape. --MarSch 2 July 2005 14:24 (UTC)

Then how about putting a merger tag? so that others who are willing (i.e., have time) can work on the merger. -- Taku July 2, 2005 07:05 (UTC)

I will put the merge templates up. --MarSch 2 July 2005 14:24 (UTC)

I worked a bit on the articles some time ago, and actually I also considered merging them. My main reasons for not doing so were that it was apparently discussed before, that I was afraid the merged article would become too big, and that I was lazy. But I think the articles could well improve after a merger (though I would not mention eigenspaces in the title). In response to Oleg I'd like to state that these articles are indeed better than average, but they are also far more important than (for instance) inverse quadratic interpolation, so any time spent improving them, however slightly, is well-spent. -- Jitse Niesen (talk) 3 July 2005 02:15 (UTC)

Eigenspaces are arguably more important than eigenvectors. Especially when they are not 1-dimensional they are more intrinsic then (a base of) eigenvectors. --MarSch 3 July 2005 12:00 (UTC)

I would like us to first discuss the newly created eigenvalue, eigenvector and eigenspace article before redirecting eigenvalue and eigenvector to it. Just to make sure we agree on what is there. Oleg Alexandrov 3 July 2005 15:51 (UTC)