Let $S=\{A\in M_{n\times n}: A=A^\tau\}$
$(a)$ Prove S is a Subspace of $M_{n \times n}$, all $n \times n$ matricies
$(b)$ Find a Formula or pattern for dim(S) in terms of n
$(c)$ If A and B are in S, must AB be in S
For part a I just used the 3 step criteria to prove S is a subspace of M
A =\begin{bmatrix} a & b & c \\ b & e & d \\ c & d & f \end{bmatrix}
B= \begin{bmatrix} g & h & i \\ h & k & j \\ i & j & l \end{bmatrix}
i) The zero vector in M is in S
ii) For any two vectors in S, the two vectors added are in S
- (A+B)^T=A^T+B^T=A+B
iii) For any scalar r and vector in S, r*vector is in S
- (rA)^T=rA^T=rA
For part B I'm slightly confused. I'm thinking about making a general matrix where everything but the diagonal is 0 and then taking the dimension of that and getting a formula????
- S=\begin{bmatrix} a & 0 & 0 \\ 0 & b & 0 \\ 0 & 0 & c \end{bmatrix}
Then from here just find the dim of S?
For part C I'm using A and B again but changing the matrices
A =\begin{bmatrix} a & 0 \\ 0 & b \\ \end{bmatrix}
B =\begin{bmatrix} c & 0 \\ 0 & d \\ \end{bmatrix}
All I did was then do A*B to get
-\begin{bmatrix} a*c & 0 \\ 0 & b*d \\ \end{bmatrix}
and then said "Yes, AB must be in S, since A and B are in S then AB would be a multiple of A and B in S.
(IF IM OVERTHINKING THE MATRICIES IM USING PLEASE UPDATE OR INFORM ME OF AN EASIER MATRIX TO MAKE MY WORK NEATER)