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Hey all. I'm not too sharp on linear algebra. I've done a first year university course on it, but that was a couple years ago & didn't go into much detail. Here is the problem:

Matrix I (n,1).

Matrix N (m,1).

Matrix G (n,m).

Now... I is a column vector of computed "double differences". These double differences are composed of original elements N. Matrix G relates the original elements to the double differences, such that:

G*N = I

G is composed of 1s and -1s, here is an example: (See attachment). So using that G:

n = 3, m = 8

So I already know the system can not be solved, since there are 8 unknowns (N) and only 3 equations. Hence I decided I needed more observations & I'll use least squares to get a solution. So for example:

[G G G]

Where G is the same as it was above. And I1,2,3 correspond to the observations at time 1, 2 and 3 respectively. N is still 8x1.

So by least squares:

Let [G G G]

G_Big

N = (G_Big

Problem is (G_Big

I don't know how else to solve this system.

Any help would be greatly appreciated!

Thanks. Nick.

Matrix I (n,1).

Matrix N (m,1).

Matrix G (n,m).

Now... I is a column vector of computed "double differences". These double differences are composed of original elements N. Matrix G relates the original elements to the double differences, such that:

G*N = I

G is composed of 1s and -1s, here is an example: (See attachment). So using that G:

n = 3, m = 8

So I already know the system can not be solved, since there are 8 unknowns (N) and only 3 equations. Hence I decided I needed more observations & I'll use least squares to get a solution. So for example:

[G G G]

^{T}*N = [I1 I2 I3]^{T}Where G is the same as it was above. And I1,2,3 correspond to the observations at time 1, 2 and 3 respectively. N is still 8x1.

So by least squares:

Let [G G G]

^{T}= G_BigG_Big

^{T}G_Big*N = G_Big^{T}[I1 I2 I3]^{T}N = (G_Big

^{T}G_Big)^{-1}G_Big^{T}[I1 I2 I3]^{T}Problem is (G_Big

^{T}G_Big)^{-1}is singular, I can't take the inverse. It happens for all sizes of G.I don't know how else to solve this system.

Any help would be greatly appreciated!

Thanks. Nick.