Basis of set of skew symmetric nxn matrices

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SUMMARY

The discussion focuses on determining the basis and dimensions of specific sets of matrices, particularly skew symmetric nxn matrices, matrices with trace 0, and upper triangular nxn matrices. It is established that the dimension of all nxn matrices is n². For nxn matrices with trace 0, the dimension is n² - 1, as one diagonal entry is dependent on the others. Upper triangular matrices have a dimension of (n² + n)/2, allowing for arbitrary choices of diagonal and upper entries while constraining the lower entries to zero.

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  • Understanding of linear algebra concepts, particularly vector spaces and matrix theory.
  • Familiarity with matrix dimensions and properties, including trace and triangular forms.
  • Knowledge of constructing bases for vector spaces.
  • Ability to manipulate and analyze nxn matrices.
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  • Study the properties of skew symmetric matrices and their applications in linear algebra.
  • Learn about the implications of matrix trace in various mathematical contexts.
  • Explore the construction of bases for different types of matrix spaces.
  • Investigate the relationship between matrix dimensions and their geometric interpretations.
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Students and professionals in mathematics, particularly those specializing in linear algebra, matrix theory, and related fields. This discussion is beneficial for anyone seeking to deepen their understanding of matrix properties and dimensions.

indigogirl
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Hi,

I am having trouble with the question above. In general, I have trouble with questions like:

What is the basis for all nxn matrices with trace 0? What is the dimension?

What is the basis of all upper triangular nxn matrices? What is the dimension?

Please help!
 
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Start counting. I hope you know that the dimension of the space of all nxn matrices is n2 because you can take anyone of the n2 entries 1, the other 0, to get a basis matrix.

There is no such thing as "the" basis for a vector space- any vector space has an infinite number of bases, each having the same number (the dimension) of vectors in it.

For the dimension of "all nxn matrices with trace 0", start by looking at small n. For n= 2, a 2x2 matrix is of the form
[tex]\left[\begin{array}{cc}a & b \\ c & d \end{array}\right][/tex]
Since we could choose anyone of the four entries, a, b, c, d equal to 1 its dimension is, as I said above, 22= 4. What about "traceless" matrices, with trace 0? Now we require that a+ d= 0. I could still choose b, c to be anything I want but now I must have d= -a. I can choose a to be whatever I want but then d is fixed- I have 3 arbitrary choices so the dimension is 3. A possible basis is
[tex]\left{\left[\begin{array}{cc}1 & 0 \\0 & -1\end{array}\right], \left[\begin{array}{cc}0 & 1 \\0 & 0\end{array}\right], \left[\begin{array}{cc}0 & 0 \\1 & 0\end{array}\right]\right}[/tex]
where I have chosen a, b, c, in turn to be 1, others 0, with d= -a.

Okay, in a general axa matrix I could choose any of the n2 entries arbitrarily, but in a trace 0 matrix, I am not free to choose all the diagonal entries arbitrarily. Since I have one equation that must be satisfied, I could choose all but one of the diagonal entries arbitrarily, then solve for the last- I have n2- 1 arbitrary choices.

For upper triangular matrices, much the same thing. A general nxn matrix has n2 entries, n of them on the diagonal leaving n2- n "off diagonal" entries. Exactly half of those, (n2- n)/2, are above the diagonal and half below. With an upper triangular matrix, the entries below the diagonal must be 0 so I can't choose them arbitrarily. I can choose all the n entries on the diagonal and the (n2- n)/2 entries above the diagonal arbitrarily, a total of n+ (n2- n)/2= (n2+ n)/2 choices. Again, you can construct a basis (not "the" basis) by choosing each entry, in turn, to be 1, all others 0.
 

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