True / false with explaination. If Ax=b has atleast one solution for b in Rn then A is an invertible matrix
Can you create a noninvertible matrix A, such that Ax = b?
No, atleast I think so, since if you have Ax=b then there exists x=A^1b. Do I have that right?
\[\begin{pmatrix}1&2\\2&4\end{pmatrix}\binom{5}{2}=\binom{9}{17}\]
Well that's what I originally thought. So is there not any way for those two statements to be logically equivalent?
Well, one counterexample is all that is needed to prove a statement false. If my setup is valid, then I have a noninvertible matrix A, that has x and b solutions from it.
granted b = (9 18) .... but thats immaterial :)
So then how is it that all the statements in the invertible matrix theorem are logically equivalent? or am I miss understanding the situation?
looks like you are refering to "g"
has at least one solution for "each" b in R; looks like a might have misread your post
the columns of my matrix do not for a basis for R^2
if "a" is true; then the rest of the list, "b to t" is true.
my matrix is essentially a line in R^2, therefore its not going to have a solution for all (x,y) in R^2
So I know that (g) is true but I'm not sure how to go about proving that A is invertible as a result.
I know the columns must be linearly independent. How do I generally show that? ( I tend to over complicate things which causes me to overlook things)
row echelon form is an equivalent setup; if you can row reduce it to the Identity matrix; they are independant
if a matrix contains a row or column of zeros, the determinant is zero; if it has a row or column of zeros, it is dependant
but how to prove that: Ax = b has a solution for every b in R^n hmmm
i wonder if assuming A is invertible and Ax=b does NOT have a solution for every b in R^n, and showing it a contradiction might be easy
Let A be an nxn invertible matrix; therefore it has an inverse spose that Ax = b has no solution for some b in R^n Ax = b A^-1A x = A^-1 b x = A^-1 b since x is a solution in R^n, we have a contradiction
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