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Re: [igraph] Negative eigenvalues of a laplacian matrix


From: MATSUDA, Noriyuki
Subject: Re: [igraph] Negative eigenvalues of a laplacian matrix
Date: Tue, 15 Jul 2008 10:06:52 +0900

Gabor:

  Thanks a lot.

On 2008/07/14, at 18:47, Gabor Csardi wrote:

Ok, the results are all right for me, this is about numeric accuracy
only. These are the smallest eigenvalues:

[106] 6.992917e-01 4.151255e-01 5.454894e-15 6.661338e-16 6.661338e-16 [111] 3.522995e-16 4.097342e-17 3.422020e-17 0.000000e+00 -9.300142e-17

The last eight are zero, that means that there are eight components
in the graph:

no.clusters(cg)
[1] 8

Probably you want to round the 'almost zero' values to zero:

eig$values <- ifelse(eig$values > 1e-14, eig$values, 0)

G.

On Mon, Jul 14, 2008 at 06:35:27PM +0900, MATSUDA, Noriyuki wrote:
Sorry:

   Here are the correct URL:
     http://www.sk.tsukuba.ac.jp/~mazda/dUG/dA/cg.Rdata
     http://www.sk.tsukuba.ac.jp/~mazda/dUG/dA/cg.pdf

On 2008/07/14, at 18:04, Gabor Csardi wrote:

On Mon, Jul 14, 2008 at 06:00:10PM +0900, MATSUDA, Noriyuki wrote:
Hello:

   I am having a problem with my graph which produces negative
eigenvalues of its laplacian matrix:
[...]
    graph plot: http:www.sk.tsukuba.ac.jp/~mazda/dA/cg.Rdata
    Rscript:
       library(igraph)
       load(file="..../cg.Rdata)
       lap <- graph.laplacian(cg)
       eig <- eigen(lap)
   Results:  the smallest three eigen values
       0.000, -1.822e-15, -7.549e-15

These are not negative, these are in reality zero, only the numeric
precision/computation makes them look like negative.

   The problem:
      All the eigenvalues of a laplacian matrix are non-negative
according to the references, e.g.,
          http://www.cs.berkeley.edu/~demmel/cs267/lecture20/
lecture20.html
    The possible cause:
        eig[,113] is zero with an exception of eig[114,113]=-1

[...]

--
Csardi Gabor <address@hidden>    UNIL DGM


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