Testwiki:Reference desk/Archives/Mathematics/2010 November 30

From testwiki
Jump to navigation Jump to search

Template:Error:not substituted

{| width = "100%"

|- ! colspan="3" align="center" | Mathematics desk |- ! width="20%" align="left" | < November 29 ! width="25%" align="center"|<< Oct | November | Dec >> ! width="20%" align="right" |Current desk > |}

Welcome to the Wikipedia Mathematics Reference Desk Archives
The page you are currently viewing is a transcluded archive page. While you can leave answers for any questions shown below, please ask new questions on one of the current reference desk pages.


November 30

Graph Ramsey Theory

I wish to study Graph Ramsey Theory on my own. What books or material should I read to develop a thorough grasp of this. All my searches have yielded books on Graph Theory which have at most a section (not even a chapter) dedicated to Graph Ramsey theory. Can someone name any good resources from where I can learn independently. Thanks-Shahab (talk) 09:36, 30 November 2010 (UTC)

Symmetric Matrix

I have to show, given a symmetric matrix S such that S raised to the power k is the identity, k greater than or equal to one, that S squared is necessarily the identity. I haven't got a clue where to start with this one. Can someone give me some help? Thanks 131.111.163.135 (talk) 14:07, 30 November 2010 (UTC)

I assume you are talking about real-valued matrices, as otherwise it's not even true. Then the property follows easily from the fact that real symmetric matrices are diagonalizable.—Emil J. 14:16, 30 November 2010 (UTC)
You're right, I forgot to mention that it's a real matrix. So I just need some non-singular matrix P st PTSP=D where D is a diagonal matrix then? And I can pick a P st D has entries plus or minus one on the diagonal? Thanks. 131.111.163.135 (talk) 14:28, 30 November 2010 (UTC)
You actually need P−1SP = D. (You can in fact pick P so that P−1 = PT, but that's irrelevant here.) Then Dk = P−1SkP = I, which forces D to have ±1 on the diagonal (as there are no other roots of unity in R).—Emil J. 15:07, 30 November 2010 (UTC)