Marlon,

Are you using a current version of R? sessionInfo()?

It would help if you had something we could _fully_ reproduce.

Taking the _printed_ values you have below (WBtWB) and adding or subtracting what you have printed as the difference of the two visually equal matrices ( say Delta ) , I am able to run

        solve( dat3 )
        solve( WBtWB + Delta )
        solve( WBtWB - Delta )
        solve( WBtWB + 2*Delta )
        solve( WBtWB - 2*Delta )

and get the results to agree to 3 significant digits. And perturbing things even more I still get solve() to return a value:

for ( i in 1:1000 ) solve(WBtWB - tcrossprod(rnorm(3)))
for ( i in 1:1000 ) solve(WBtWB + tcrossprod(rnorm(3)))


And I cannot get condition numbers anything like what you report:

range(replicate( 10000, 1/kappa(dat3-tcrossprod(matrix(rnorm(9),3)))))
[1] 5.917764e-11 3.350445e-09



So I am very curious that you got the results that you print below.

I suppose that it is possible that the difference between what you report and what I see lies in the numerical libraries (LINPACK/LAPACK) that R calls upon.

This was done on a windows XP PC. Here is my sessionInfo()

sessionInfo()
R version 2.8.1 Patched (2008-12-22 r47296)
i386-pc-mingw32

locale:
LC_COLLATE=English_United States.1252;LC_CTYPE=English_United States.1252;LC_MONETARY=English_United States.1252;LC_NUMERIC=C;LC_TIME=English_United States.1252

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base


HTH,

Chuck

On Thu, 15 Jan 2009, dos Reis, Marlon wrote:

Dear All,
I'm preparing a simple algorithm for matrix multiplication for a
specific purpose, but I'm getting some unexpected results.
If anyone could give a clue, I would really appreciate.
Basically what I want to do is a simple matrix multiplication:
(WB) %*% t(WB).
The WB is in the disk so I compared to approaches:
-       Load 'WB' using 'read.table' (put it in WB.tmp) and then to the
simple matrix multiplication
WB.tmp%*%t(WB.tmp)

-       Scan each row of WB and do the cross products 'sum(WB.i*WB.i)'
and 'sum(WB.i*WB.j)', which proper arrangement leads to WBtWB.

Comparing these two matrices, I get the very similar values, however
when I tried their inverse, WBtWB leads to a singular system.
I've tried different tests and my conclusion is that  my precision
problem is related to cross products 'sum(WB.i*WB.i)' and
'sum(WB.i*WB.j)'.
Does it makes sense?
Thanks,
Marlon


WB.tmp%*%t(WB.tmp)
          WB.i       WB.i       WB.i
WB.i 1916061939 2281366606  678696067
WB.i 2281366606 3098975504 1092911209
WB.i  678696067 1092911209  452399849

WBtWB
          [,1]       [,2]       [,3]
[1,] 1916061939 2281366606  678696067
[2,] 2281366606 3098975504 1092911209
[3,]  678696067 1092911209  452399849


WBtWB-WB.tmp%*%t(WB.tmp)
            WB.i          WB.i          WB.i
WB.i 2.861023e-06  4.768372e-07  4.768372e-07
WB.i 4.768372e-07  3.814697e-06 -2.622604e-06
WB.i 4.768372e-07 -2.622604e-06  5.960464e-08

solve(WB.tmp%*%t(WB.tmp))
         WB.i      WB.i       WB.i
WB.i -41692.80  58330.89  -78368.17
WB.i  58330.89 -81608.66  109642.09
WB.i -78368.17 109642.09 -147305.32

solve(WBtWB)
Error in solve.default(WBtWB) :
 system is computationally singular: reciprocal condition number =
2.17737e-17




    WB.tmp<-NULL
    WBtWB<-matrix(NA,n,n)
     for (i in 1:n)
     {
      setwd(Home.dir)
      WB.i<-scan("WB.dat", skip = (i-1), nlines = 1)
      WB.tmp<-rbind(WB.tmp,WB.i)
      WBtWB[i,i]<-sum(WB.i*WB.i)
      if (i<n)
       {
         for (j in (i+1):n)
          {
             setwd(Home.dir)
             WB.j<-scan("WB.dat", skip = (j-1), nlines = 1)
             WBtWB[i,j]<-sum(WB.i*WB.j)
             WBtWB[j,i]<-sum(WB.i*WB.j)
          }
        }
      }


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Charles C. Berry                            (858) 534-2098
                                            Dept of Family/Preventive Medicine
E mailto:cbe...@tajo.ucsd.edu               UC San Diego
http://famprevmed.ucsd.edu/faculty/cberry/  La Jolla, San Diego 92093-0901

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