Dimension of all 2x2 symmetric matrices?

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Discussion Overview

The discussion revolves around the dimension of the space of 2x2 symmetric matrices, exploring different perspectives on how to define and calculate this dimension. Participants engage with both theoretical and mathematical reasoning regarding matrix representation and dimensionality.

Discussion Character

  • Technical explanation, Debate/contested, Mathematical reasoning

Main Points Raised

  • Some participants propose that the dimension of the space of 2x2 symmetric matrices is 3, suggesting a basis consisting of specific matrices and combining certain elements to form a new basis element.
  • Others argue that the title refers to "diagonal matrices," which they assert have a dimension of 2, indicating a potential misunderstanding or miscommunication regarding the types of matrices being discussed.
  • A participant introduces the concept of antisymmetric matrices and discusses the general relationship between the dimensions of symmetric and antisymmetric matrices, stating that the sum of their dimensions equals n^2 for n x n matrices.
  • One participant reiterates the claim of dimension 3 for symmetric matrices, providing a similar breakdown of the basis elements as previously mentioned.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the dimension of the space of 2x2 symmetric matrices, with competing views on whether it is 2 or 3. The discussion remains unresolved regarding the correct interpretation of the matrix types involved.

Contextual Notes

There is ambiguity regarding the definitions of symmetric and diagonal matrices, which may affect the claims about their dimensions. The discussion also touches on the decomposition of matrices into symmetric and antisymmetric parts, but does not resolve the implications of this for the specific case of 2x2 symmetric matrices.

kostoglotov
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I think it's 3...

All 2x2 can be written as

a_1 A_1 + a_2 A_2 + a_3 A_3 + a_4 A_4

with

A_1 =<br /> \begin{bmatrix}<br /> 1 &amp; 0 \\<br /> 0 &amp; 0<br /> \end{bmatrix}<br />, A_2 =<br /> \begin{bmatrix}<br /> 0 &amp; 1 \\<br /> 0 &amp; 0<br /> \end{bmatrix}<br />, A_3 =<br /> \begin{bmatrix}<br /> 0 &amp; 0 \\<br /> 1 &amp; 0<br /> \end{bmatrix}<br />, A_4 =<br /> \begin{bmatrix}<br /> 0 &amp; 0 \\<br /> 0 &amp; 1<br /> \end{bmatrix}<br />

And 2x2 Symm = a_1 A1 + a_2 (A_2 + A_3) + a_4 A_4, and if we combine A_2 + A_3 into a single basis element A^*, then A^* is still independent of A_1 and A_4...so actually all 2x2 symm matrices should be in a space of dimension 3...and the basis elements are A_1 \ A_2 \ and \ A^*?
 
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Yes, but note that the title says "diagonal matrices", which aren't the same as symmetric matrices. The space of 2##\times##2 diagonal matrices has dimension 2.
 
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This is true. It is also interesting to consider the dimension of the antisymmetric matrices, A^T=-A.

In general for the space of n \times n matrices, you can write A=\frac{1}{2} (A+A^T)+\frac{1}{2}(A-A^T) for any matrix A (i.e 'decompose' into symmetric and antisymmetric parts). Furthermore, the sum of the dimensions of these two spaces always adds to n^2:

Denote the space of n \times n symmetric matrices as S_1 and the space of n \times n antisymmetric matrices as S_2.

Then dim(S_1 \cap S_2) = 0 \Rightarrow dim(S_1 +S_2)=dim(S_1)+dim(S_2)

Clearly we cannot gain dimensions by adding together two subsets of the larger set, but we have shown above that we can write any n \times n matrix as a sum of elements in each of these subspaces. So we conclude that dim(S_1) + dim(S_2)=n^2 as required.
 
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kostoglotov said:
I think it's 3...

All 2x2 can be written as

a_1 A_1 + a_2 A_2 + a_3 A_3 + a_4 A_4

with

A_1 =<br /> \begin{bmatrix}<br /> 1 &amp; 0 \\<br /> 0 &amp; 0<br /> \end{bmatrix}<br />, A_2 =<br /> \begin{bmatrix}<br /> 0 &amp; 1 \\<br /> 0 &amp; 0<br /> \end{bmatrix}<br />, A_3 =<br /> \begin{bmatrix}<br /> 0 &amp; 0 \\<br /> 1 &amp; 0<br /> \end{bmatrix}<br />, A_4 =<br /> \begin{bmatrix}<br /> 0 &amp; 0 \\<br /> 0 &amp; 1<br /> \end{bmatrix}<br />

And 2x2 Symm = a_1 A1 + a_2 (A_2 + A_3) + a_4 A_4, and if we combine A_2 + A_3 into a single basis element A^*, then A^* is still independent of A_1 and A_4...so actually all 2x2 symm matrices should be in a space of dimension 3...and the basis elements are A_1 \ A_2 \ and \ A^*?
Yes, a basis for the space of 2 by 2 symmetric matrices is
\begin{bmatrix}1 &amp; 0 \\ 0 &amp; 0 \end{bmatrix}
\begin{bmatrix}0 &amp; 1 \\ 1 &amp; 0 \end{bmatrix} and
\begin{bmatrix}0 &amp; 0 \\ 0 &amp; 1 \end{bmatrix}
 

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