Dear John,
thank you for your considerations.
This matrix (which is a variance matrix) is part of an algorithm for 
forward-filtering and backward-sampling of Dynamic Linear Models (West and 
Harrison, 1997), applied to DLM representation of ARIMA processes (Petris, 
Petrone, Campagnoli).  It is therefore very difficult to explain why this 
variance matrix becomes so ill conditioned. This already happens at the first 
iteration of the algorithm. I will try to work on initial conditions and some 
fixed parameters.

Thank you again
Stefano


________________________________________
Da: Fox, John [j...@mcmaster.ca]
Inviato: giovedì 10 dicembre 2015 14.41
A: Stefano Sofia; r-help@r-project.org
Oggetto: RE: matrix which results singular but at the same time positive        
definite

Dear Stefano,

You've already had a couple of informative responses directly addressing your 
question, but are you aware how ill-conditioned the matrix is (one of the 
responses alluded to this)?

> kappa(X, exact=TRUE)
[1] 7.313338e+12

> eigen(X)$values
[1] 4.964711e+00 9.356881e-01 4.863392e-12 6.788344e-13

Two of the variables have variances around 10^0 and the other two around 
10^-12. Of course, you haven't said anything about the context, but does it 
really make sense to analyze the data on these scales?

Best,
 John

-----------------------------
John Fox, Professor
McMaster University
Hamilton, Ontario
Canada L8S 4M4
Web: socserv.mcmaster.ca/jfox




> -----Original Message-----
> From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Stefano Sofia
> Sent: December 10, 2015 5:08 AM
> To: r-help@r-project.org
> Subject: [R] matrix which results singular but at the same time positive 
> definite
>
> Dear list users,
> through the "matrixcalc" package I am performing some checks of variance
> matrices (which must be positive definite).
> In this example, it happens that the matrix A here reported is singular but
> positive definite. Is it possible?
>
>               [,1]          [,2]          [,3]          [,4]
> [1,]  1.904255e-12 -1.904255e-12 -8.238960e-13 -1.240294e-12 [2,] -
> 1.904255e-12  3.637979e-12  1.364242e-12  1.818989e-12 [3,] -8.238960e-13
> 1.364242e-12  4.809988e+00  7.742369e-01 [4,] -1.240294e-12  1.818989e-12
> 7.742369e-01  1.090411e+00
>
> print(is.non.singular.matrix(A, tol = 1e-18)) FALSE 
> print(is.positive.definite(A,
> tol=1e-18)) TRUE
>
> Is there something wrong with this matrix?
> Any comment will be appreciated.
> Stefano
>
>
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