Pruning a set of matrices (easy)

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The discussion centers on determining the correct set of matrices that are linearly independent and span the space of 2x2 matrices, denoted as M2,2. The two proposed sets are: Set A consisting of matrices {{2, 1}, {5, 1}} and {{3, -1}, {7, 4}}, and Set B which includes an additional matrix {{2, 7}, {-4, 1}}. Participants confirm that the second set is correct, emphasizing the need to verify linear independence among the matrices. The algorithm for pruning involves checking for linear dependence among the matrices to ensure a valid spanning set.

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http://dl.dropbox.com/u/33103477/prune.png

I am unsure if the the answer is:

[tex]{\begin{pmatrix}<br /> 2 & 1 \\ <br /> 5 & 1<br /> \end{pmatrix}},<br /> {\begin{pmatrix}<br /> 3 & -1 \\ <br /> 7 & 4<br /> \end{pmatrix}}[/tex]

or

[tex]{\begin{pmatrix}<br /> 2 & 1 \\ <br /> 5 & 1<br /> \end{pmatrix}},<br /> {\begin{pmatrix}<br /> 3 & -1 \\ <br /> 7 & 4<br /> \end{pmatrix}},<br /> {\begin{pmatrix}<br /> 2 & 7 \\ <br /> -4 & 1<br /> \end{pmatrix}}[/tex]

I'm pretty sure it's the second one but am a bit confused about when the algorithm stops.
Can someone confirm the answer ?
 
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sid9221 said:
http://dl.dropbox.com/u/33103477/prune.png

I am unsure if the the answer is:

[tex]{\begin{pmatrix}<br /> 2 & 1 \\ <br /> 5 & 1<br /> \end{pmatrix}},<br /> {\begin{pmatrix}<br /> 3 & -1 \\ <br /> 7 & 4<br /> \end{pmatrix}}[/tex]

or

[tex]{\begin{pmatrix}<br /> 2 & 1 \\ <br /> 5 & 1<br /> \end{pmatrix}},<br /> {\begin{pmatrix}<br /> 3 & -1 \\ <br /> 7 & 4<br /> \end{pmatrix}},<br /> {\begin{pmatrix}<br /> 2 & 7 \\ <br /> -4 & 1<br /> \end{pmatrix}}[/tex]

I'm pretty sure it's the second one but am a bit confused about when the algorithm stops.
Can someone confirm the answer ?

I have never encountered the word prune, but by context, I believe it is saying X is linearly dependent and you want to make a set Y (lin ind) from X that spans ##M_{2,2}## as well.

If that is the case, you just need to verify that none of the matrices in your 3 set are linearly dependent to the other two. If that is the case, then the 3 matrix set is correct.
 
Last edited by a moderator:
sid9221 said:
http://dl.dropbox.com/u/33103477/prune.png

I am unsure if the the answer is:

[tex]{\begin{pmatrix}<br /> 2 & 1 \\ <br /> 5 & 1<br /> \end{pmatrix}},<br /> {\begin{pmatrix}<br /> 3 & -1 \\ <br /> 7 & 4<br /> \end{pmatrix}}[/tex]

or

[tex]{\begin{pmatrix}<br /> 2 & 1 \\ <br /> 5 & 1<br /> \end{pmatrix}},<br /> {\begin{pmatrix}<br /> 3 & -1 \\ <br /> 7 & 4<br /> \end{pmatrix}},<br /> {\begin{pmatrix}<br /> 2 & 7 \\ <br /> -4 & 1<br /> \end{pmatrix}}[/tex]

I'm pretty sure it's the second one but am a bit confused about when the algorithm stops.
Can someone confirm the answer ?

Lay them out as 4-dimensional vectors, then look for a subset that generates the whole span. In other words, start with the vectors
[tex]\begin{array}{l}v_1 = [2,1,5,1] \\v_2 = [3,-1,7,4] \\ v_3 = [5,-5,11,10] \\<br /> v_4 = [2,7 -4,1]\end{array}[/tex] Obviously, [itex]v_1, v_2[/itex] are linearly independent.
Are the three vectors [itex]v_1, v_2, v_3[/itex] linearly independent? If not, [itex]v_3[/itex] is in the span of [itex]v_1, v_2.[/itex] If they are linearly independent, throw in [itex]v_4[/itex] and continue the test.

Note: you can do it all in one step, just by doing row operations on the 4x4 matrix with rows v_i. Basically, you are looking for solutions of the 4x4 linear system [itex]c_1 v_1 + c_2 v_2 + c_3 v_3 + c_4 v_4 = 0.[/itex]

RGV
 
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