Consider the vector space M22 of all 2*2 matrices. 2.1 Show that B ={A1,A2,A3,A4} is a basis for M22 where: A1[3 6]; A2=[0 -1]; A3= [0 -8]; and A4= [1 0] [3 -6] [-1 0] [-12 -4] [-1 2] 2.2 Write A=[6 2] [5 3] 2.3 Prove that the subset D={A element of M22: A^T+A=0} forms a subspace of M22
If B is a basis, then its linearly independant
how would we row reduce a matrix of matrixes? :)
the standard, or identity of this would amount to: 10 01 00 00 00 00 10 01 or something of that sort
the rest of it I got no clue about :)
[3 6] [0 -1] [0 -8]; [1 0] 00 c1 [3 -6]+c2 [-1 0] +c3 [-12 -4] +c4 [-1 2] = 00 has only the trival solution maybe? :)
thank you , sorry (2.2) says write A [6 2] as a linear combination of vectors from B [5 3]
\[\begin{pmatrix}3c_1+0c_2+0c_3+1c_4 = 0&6c_1-1c_2-8c_3+0c_4=0 \\ 3c_1-1c_2-12c_3-1c_4 = 0&-6c_1+0c_2-4c_3+2c_4=0 \\ \end{pmatrix}\] this is what I get when I add up all the parts :) its a system of 4 equations in for unknowns that we can form into a super matrix ... my own term nothing technical :)
and also with this super matrix we can evaluate the part 2
and keep in mind that im going at this blind, I got no idea if this is right; but it just makes sense :)
\[\begin{pmatrix} 3c_1+0c_2+0c_3+1c_4 = 0\\ 6c_1-1c_2-8c_3+0c_4=0 \\ 3c_1-1c_2-12c_3-1c_4 = 0\\ -6c_1+0c_2-4c_3+2c_4=0 \\ \end{pmatrix}\] \[rref \begin{pmatrix} 3&0&0&1&|& 0\\ 6&-1&-8&0&|&0 \\ 3&-1&-12&-1&|& 0\\ -6&0&-4&2&|&0 \\ \end{pmatrix}\] rref{{3,0,0,1,0},{6,-1,-8,0,0},{3,-1,-12,-1, 0},{-6,0,-4,2,0}} into the wolf and: http://www.wolframalpha.com/input/?i=rref%7B%7B3%2C0%2C0%2C1%2C0%7D%2C%7B6%2C-1%2C-8%2C0%2C0%7D%2C%7B3%2C-1%2C-12%2C-1%2C+0%7D%2C%7B-6%2C0%2C-4%2C2%2C0%7D%7D its good lol
so, if we simply create a new matrix with columns of [r1,r2] of the given matrixes and row reduce we can determine if it forms a basis :)
with this new matrix; lets determine if we can create a [b1,b2] in the same fashion
[6,2,5,3] \[rref \begin{pmatrix} 3&0&0&1&|& 6\\ 6&-1&-8&0&|&2 \\ 3&-1&-12&-1&|& 5\\ -6&0&-4&2&|&3 \\ \end{pmatrix}\] enter the wolf :) and since we established that the given matrix vector are a basis for M2x2, we should be able to find a solution to B
http://www.wolframalpha.com/input/?i=rref%7B%7B3%2C0%2C0%2C1%2C6%7D%2C%7B6%2C-1%2C-8%2C0%2C2%7D%2C%7B3%2C-1%2C-12%2C-1%2C+5%7D%2C%7B-6%2C0%2C-4%2C2%2C3%7D%7D B even has a unique solution; just read off the rightside column vector
3/2 A1+25A2 -9/4 A3 +3/2 A4 = A
this sound right to you, or at least makes as much sense to youas it does me?
D={ A element of M2x2: A^T+A=0} forms a subspace of M22 Does any A matrix in M2x2 such that A transpose + A = 0 form a subspace? is how i read this
00^t + 00 = 00 00 00 00 so the zero component of a vector space is there
there is a scalar definition to test and a closure under addition to test as well but I got no idea how to implement them
Does A^t + A = 0 imply that C(A^t+A)=0?
\[ \begin{pmatrix}a&c\\b&d\end{pmatrix}+\begin{pmatrix}a&b\\c&d\end{pmatrix}= \begin{pmatrix}0&0\\0&0\end{pmatrix}\] a+a = 0 when a=0 d+d=0 when d=0 \[ \begin{pmatrix}0&c\\b&0\end{pmatrix}+\begin{pmatrix}0&b\\c&0\end{pmatrix}= \begin{pmatrix}0&0\\0&0\end{pmatrix}\] c+b = 0 and b+c = 0 when b and c are opposities \[ \begin{pmatrix}0&-b\\b&0\end{pmatrix}+\begin{pmatrix}0&b\\-b&0\end{pmatrix}= \begin{pmatrix}0&0\\0&0\end{pmatrix} \] now we have a generic of the form that we can test :)
multiplying by a constant will not change the outcome; \[k\left[\begin{pmatrix}0&-b\\b&0\end{pmatrix}+\begin{pmatrix}0&b\\-b&0\end{pmatrix}\right]= \begin{pmatrix}0&0\\0&0\end{pmatrix}\] \[k\begin{pmatrix}0&-b\\b&0\end{pmatrix}+k\begin{pmatrix}0&b\\-b&0\end{pmatrix}= \begin{pmatrix}0&0\\0&0\end{pmatrix}\] \[\begin{pmatrix}0&-kb\\kb&0\end{pmatrix}+\begin{pmatrix}0&kb\\-kb&0\end{pmatrix}= \begin{pmatrix}0&0\\0&0\end{pmatrix}\]
when we add 2 off these together of this form; do we get the same form back?
\[\begin{pmatrix}0&-b\\b&0\end{pmatrix}+\begin{pmatrix}0&b\\-b&0\end{pmatrix}= \begin{pmatrix}0&0\\0&0\end{pmatrix}\]\[+\begin{pmatrix}0&-n\\n&0\end{pmatrix}+\begin{pmatrix}0&n\\-n&0\end{pmatrix}= \begin{pmatrix}0&0\\0&0\end{pmatrix}\]-------------------------- \[\begin{pmatrix}0&-(b+n)\\(b+n)&0\end{pmatrix}+\begin{pmatrix}0&(b+n)\\-(b+n)&0\end{pmatrix}= \begin{pmatrix}0&0\\0&0\end{pmatrix}\] yep, so its colsed under addition too
by default the rest of the requirements of a vector space are satisified by these 3 or so I have been led to believe.
sooo, good luck with it ;)
thank you
youre welcome, and thank you for giving me something to work on other than the distance between 2 points on a graph ;)
lol
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