What is the quickest way to solve for X_3(s)/F(s) in a 3x3 matrix can someone help me?
\[\left(\begin{matrix} X_1(s) \\X_2(s) \\ X_3(s) \end{matrix}\right) = \left[\begin{matrix}a & b & c\\ d & e & f\ \\ g & h & i \end{matrix}\right]\left(\begin{matrix}0 \\ F(s) \\ 0 \end{matrix}\right)\]
could I do (g*0+hF(s) + i*0 )/determinant?
@e.mccormick your field. right?
@allsmiles I really don't understand your question, can you please post the original problem?
I wrote the matrix out wrong sorry. But my question is to just solve for X_3/F(s) give this matrix equation
I will rewrite the matrix
\[\left(\begin{matrix}X_1 \\ X_2 \\ X_3 \end{matrix}\right) = \left[\begin{matrix}a & b & c \\ d & e & f \\ g & h & i\end{matrix}\right]^{-1}\left(\begin{matrix}0 \\ F(s) \\ 0\end{matrix}\right) \]
F(s) being a function. I want to solve for X_3 / F(s)
You have an inverse the second time, not the first...
Yeah I wrote my matrix out wrong I apologize
kk. So this was original;ly Ax=b, and you did A^{-1}Ax=A^{-1}b to get it to that point?
yes
It would depend on it being an invertable matrix for that to work... but if you do that, then it is just a matrix multiplication at that point.
ah sorry I don't quite understand my book got this
\[X_3 = \left[\begin{matrix}a & b & 0 \\ d & e & F(s) \\ g & h & 0\end{matrix}\right]/\left[\begin{matrix}a & b & c \\ d & e & f \\ g & h & i \end{matrix}\right]\]
how did they get to this point? I can solve it that way
Is the second part of that [] or | |. THey have different meanings.
oh they are both | | sorry, does that stand for finding the determinant
Yes.
yeah both matrix are | |. so it's | | / | |
but I have no idea how they got that expression
Through doing the assorted operations. Seen this: \(A^{-1}=\frac{1}{|A|}adj(A)\)
but then why is the expression equal to just X_3?
Beacuse once you find the adjoint, it is multiplied by that vector.
I am quite new to matrices, does adjoint just mean inverse?
No. the inverse of the determinant times the adjoint is the inverse. The adjoint is the transpose of the cofactors and the cofactors is the minors with signs applied.
Oh I see okay so the top matrix of the | | / | | I posted above is finding the adjoint of A and the bottom is the determinant of A?
I'm still kind of lost on how they replaced the right side with 0 F(s) 0
sorry for so many questions..
Well, they said it was that, right? Did it actually start with this: \[\left[\begin{matrix}a & b & c \\ d & e & f \\ g & h & i\end{matrix}\right]\left(\begin{matrix}X_1 \\ X_2 \\ X_3 \end{matrix}\right)=\left(\begin{matrix}0 \\ F(s) \\ 0\end{matrix}\right)\]
Yeah that's how it started
Now, do you know what that right hand side would look like if you multiplied it?
Sorry... left hand side....
woudln't you get 3 equations..
lol oops I meant aX_1 + bX_2+cX_3 = 0
so if I want to solve
for the X_2 I would replace the second column by 0 F(s) 0 instead
Yah, looks like the email worked... lets see if I can post again finally.
okay should I still go about finding the inverse?
According to Craimer's Rule, if you have any matrix A, and vectors x and b, if Ax=b, you can form new matrices by replacing columns with the b. For this, lets take a 3x3 because that is what you have. \(A_1\) is A but with column 1 replaced by b. \(A_2\) has column 2 replaced, and so on. The the corresponding x values are the determinant of the new matrix divided by the determinant of the original, or precisely that: \[\left[\begin{matrix}a & b & c \\ d & e & f \\ g & h & i\end{matrix}\right]\left(\begin{matrix}X_1 \\ X_2 \\ X_3 \end{matrix}\right)=\left(\begin{matrix}0 \\ F(s) \\ 0\end{matrix}\right)\implies \\ X_3 = \frac{\left|\begin{matrix}a & b & 0 \\ d & e & F(s) \\ g & h & 0\end{matrix}\right|}{\left|\begin{matrix}a & b & c \\ d & e & f \\ g & h & i \end{matrix}\right|}\]With the between step being just making \(A_3\) to put on the top.
No point to finding the inverse for that.... I mean, it could be done, but it is a ton of math for no reason.
Did you need it solved past that point? If so, do cofactor expansion on the third column.
Oh snap thanks so much I get it!!!
but what rule did you know to solve for X_3?
like dividing it by the determinant?
Oh, I could use any of them. That is Craimer's Rule.
Oh that is so cool does this work with any size of matrices?
Thanks so much for your help and writing all that out I really appreciate it!!
By the same rule: \[X_2 = \frac{\left|\begin{matrix}a & 0 & c \\ d & F(s) & f \\ g & 0 & i\end{matrix}\right|}{\left|\begin{matrix}a & b & c \\ d & e & f \\ g & h & i \end{matrix}\right|}\\ X_1 = \frac{\left|\begin{matrix}0 & b & c \\ F(s) & e & f \\ 0 & h & i\end{matrix}\right|}{\left|\begin{matrix}a & b & c \\ d & e & f \\ g & h & i \end{matrix}\right|}\] Craimer's rule is valid for any size matrix. If you actually take those determinants, you can solve it a little bit more. Don't know if there would be any reason to with this.
See how which column I replaces is in line with what column it would be if I multiplied out the original equation? All the \(X_1\) values are replaced with the solution when solving for \(X_1\).
Yes I see how it works now, wish I could give you more stars. You have no idea how much this will help me, thanks again!
And do you know what cofactor expansion is? Have they gone over that?
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