Showing a set of matrices is a direct sum.

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SUMMARY

The discussion focuses on proving that the space of n x n matrices, MnXn, is the direct sum of the symmetric matrices W1 and the skew-symmetric matrices W2. Specifically, W1 is defined as W1 = {A ∈ MnXn(R) | A = AT}, and W2 as W2 = {A ∈ MnXn(R) | A = -AT}. The proof requires demonstrating that MnXn = W1 + W2 and that the intersection of W1 and W2 is the zero matrix, confirming the direct sum property.

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trap101
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Let W1 = {A[itex]\in[/itex] MnXn(R)| A = AT} and W2 = {A[itex]\in[/itex] MnXn(R)| A = -AT}

Show that MnXn = W1 (+) W2

where the definition of direct sum is:

V is the direct sum of W1 and W2 in symbols:

V = W1 (+) W2 if:

V = W1 + W2 and
W1 [itex]\cap[/itex] W2 = {0}


Attempt:

I figure I have to show each property individually. So for the first property I tried to do a manipulation:

AT + (-AT) = (A + (-A))T = 0T

Then I added A to each side: A + (A + (-A))T = A + 0T

Did I even show what was needed?
 
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No, you appear to be misunderstanding what "W1= {A[itex]\in[/itex] Mxn|A= AT}" and "W2= {A[itex]\in[/itex] Mnxn|A= -AT[/sub]}" mean. Members of V are of the form A+ B where A is in W1 and B is in W2. You cannot use the same matrix, A, for each.
 
HallsofIvy said:
No, you appear to be misunderstanding what "W1= {A[itex]\in[/itex] Mxn|A= AT}" and "W2= {A[itex]\in[/itex] Mnxn|A= -AT[/sub]}" mean. Members of V are of the form A+ B where A is in W1 and B is in W2. You cannot use the same matrix, A, for each.



How's this:

Letting A be a matrix from W1 and B be a matrix from W2:

V = A + B
= AT+ (-BT)
= (A+(-B))T

Can I bring out the -1 and have: (-1)(A+B)T?
 

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