Re: [R] Finding solution set of system of linear equations.

From: Robert A LaBudde <ral_at_lcfltd.com>
Date: Sat, 21 May 2011 23:02:55 -0400

solve() only works for nonsingular systems of equations.

Use a generalized inverse for singular systems:

 > A<- matrix(c(1,2,1,1, 3,0,0,4, 1,-4,-2,-2, 0,0,0,0), ncol=4, byrow=TRUE)  > A

      [,1] [,2] [,3] [,4]

[1,]    1    2    1    1
[2,]    3    0    0    4
[3,]    1   -4   -2   -2
[4,]    0    0    0    0

 > b<- c(0,2,2,0) #rhs
 > b
[1] 0 2 2 0
 >
 > require('MASS')
 > giA<- ginv(A) #M-P generalized inverse
 > giA
            [,1]          [,2]        [,3] [,4]
[1,]  0.6666667  1.431553e-16  0.33333333    0
[2,]  0.3333333 -1.000000e-01 -0.03333333    0
[3,] 0.1666667 -5.000000e-02 -0.01666667 0 [4,] -0.5000000 2.500000e-01 -0.25000000 0
 >
 > require('Matrix')
 > I<- as.matrix(Diagonal(4))  #order 4 identity matrix
 > I
      [,1] [,2] [,3] [,4]
[1,]    1    0    0    0
[2,]    0    1    0    0

[3,] 0 0 1 0
[4,] 0 0 0 1
 >
 > giA%*%b #particular solution

               [,1]

[1,]  6.666667e-01
[2,] -2.666667e-01
[3,] -1.333333e-01
[4,] -2.220446e-16
 > giA%*%A - I   #matrix for parametric homogeneous solution
               [,1] [,2] [,3]          [,4]
[1,]  0.000000e+00  0.0  0.0  5.551115e-16
[2,]  3.469447e-17 -0.2  0.4  4.024558e-16
[3,] 4.510281e-17 0.4 -0.8 2.706169e-16 [4,] -3.330669e-16 0.0 0.0 -7.771561e-16

At 09:34 PM 5/21/2011, dslowik wrote:
>I have a simple system of linear equations to solve for X, aX=b:
> > a
> [,1] [,2] [,3] [,4]
>[1,] 1 2 1 1
>[2,] 3 0 0 4
>[3,] 1 -4 -2 -2
>[4,] 0 0 0 0
> > b
> [,1]
>[1,] 0
>[2,] 2
>[3,] 2
>[4,] 0
>
>(This is ex Ch1, 2.2 of Artin, Algebra).
>So, 3 eqs in 4 unknowns. One can easily use row-reductions to find a
>homogeneous solution(b=0) of:
>X_1 = 0, X_2 = -c/2, X_3 = c, X_4 = 0
>
>and solutions of the above system are:
>X_1 = 2/3, X_2 = -1/3-c/2, X_3 = c, X_4 = 0.
>
>So the Kernel is 1-D spanned by X_2 = -X_3 /2, (nulliity=1), rank is 3.
>
>In R I use solve():
> > solve(a,b)
>Error in solve.default(a, b) :
> Lapack routine dgesv: system is exactly singular
>
>and it gives the error that the system is exactly singular, since it seems
>to be trying to invert a.
>So my question is:
>Can R only solve non-singular linear systems? If not, what routine should I
>be using? If so, why? It seems that it would be simple and useful enough to
>have a routine which, given a system as above, returns the null-space
>(kernel) and the particular solution.
>
>
>
>
>--
>View this message in context:
>http://r.789695.n4.nabble.com/Finding-solution-set-of-system-of-linear-equations-tp3541490p3541490.html
>Sent from the R help mailing list archive at Nabble.com.
>
>______________________________________________
>R-help_at_r-project.org mailing list
>https://stat.ethz.ch/mailman/listinfo/r-help
>PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
>and provide commented, minimal, self-contained, reproducible code.



Robert A. LaBudde, PhD, PAS, Dpl. ACAFS e-mail: ral_at_lcfltd.com
Least Cost Formulations, Ltd.            URL: http://lcfltd.com/
824 Timberlake Drive                     Tel: 757-467-0954
Virginia Beach, VA 23464-3239            Fax: 757-467-2947

"Vere scire est per causas scire"



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https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. Received on Sun 22 May 2011 - 03:05:04 GMT

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