Matrices Part2
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Algebra of Matrices
Take note that algebra of matrices are DIFFERENT from normal algebra. Thus a lot of steps we normally would do such as bringing over, factorizing, expanding, etc. are either NOT allowed or done a little differently.
A) Commutative Law (Addition only)
- Multiplication of matrices
- That is,
- Important :
B) Associative Law
- Again, it is important to note what we CAN'T do. While multiplication DOES satisfy Associative Law, it still DOESN'T satisfy Commutative Law. In other words, we can
- For example, state whether the following are equal or not equal
C) Distributive Law
- Note that


D) Identity
E) Inverse
If
exists (
is not singular )
F) Inverse of Product
- Note that it is NOT
- Important Note: This law IS stated explicitly in the syllabus and you are required to know it.
- Prove
G) Scalars
- In other words, while multiplication of matrices do not abide Commutative Law, scalars do. This allows us to leave the multiplication with scalar as the last step, to avoid multiplying matrices with large or fractional values.
Manipulating Matrix Equations
The fact that there are no division in matrices and that
puts serious limitations to how we can manipulate a matrix equation compared to normal algebra. Part of the difficulty is unlearning things we are so used to in normal algebra when dealing with matrix.
- If
- However, if
, how can we solve for
?
- We take note that
and
- Meaning,
- Thus, to get rid of a matrix from one side of the equation, we need to
- IMPORTANT NOTE : Either
Examples
Express
in terms of the other matrices. (All matrices are non-singular)
Given
, where
,
and
is a
matrix. Find
.
To Find Inverse from Equation
IMPORTANT : When the question gives/ask us to prove an equation, AND THEN ask us to find the inverse of some matrix, we are NOT ALLOWED to find the inverse using the adjoin method. We won't be given any marks, and will just waste precious time during the exam.
For example, we might be given/asked to prove
- To find
,
- To find
,
Note: Practice showing the full working, even though it is not always required in marking scheme.
Examples
Find
and
if
Find
if
Given
. Find
. Hence, find
and
.
Other Examples
- Given
. Prove that
.
. If
, find
and
. Hence, find
&
.
- If
, find
&
.
- If
, find
.
- If
, find
.
Exercise 3
1)
,
and
is a
matrix. Find matrix
if
- a)
- b)
- c)
- d)
- e)
- f)
2)
,
,
,
Show that
and find
. Hence, find
and
.
3)
. If
, find
and
. Hence, prove
. Find also
&
.
4) If
, prove that
. Find
, hence deduce
, where
is a natural number.
5)
,
prove that
and find
. Hence, find
and
.

(in general)
( In other words, it's more important to remember what you CAN'T DO compared to normal algebra.)


,
,
,
,
, 
, 

, 
while 



CORRECT? 
which we can't simplify further.



is inverse of
and 
, we would need to prove
and 
(using the associative laws to change the brackets WITHOUT changing the order of the arrangement of the matrices)

, that is WRONG as it uses (wrongly) Commutative Law.



Note that the arrangement of the matrices 



(one front, one end)
(in the middle)



(It is not needed to multiply in the scalar as question did not require us to state 









is a scalar, not a matrix, and thus we can 






, NOT 


![\mathbf{A}\left[\frac{1}{2}\left(\mathbf{A}+3\mathbf{I}\right)\right]=\mathbf{I}](/images/math/e/1/8/e181efa668e29368caa62f95c5fee45f.png)

to the other side first


![\begin{align}
\mathbf{A}^{3}-2\mathbf{A}^{2}+3\mathbf{A}+5\mathbf{I}=\mathbf{0}\\
\mathbf{A}^{3}-2\mathbf{A}^{2}+3\mathbf{A}=-5\mathbf{I}\\
\mathbf{A}\left(\mathbf{A}^{2}-2\mathbf{A}+3\mathbf{I}\right)=-5\mathbf{I}\\
\mathbf{A}\left[-\frac{1}{5}\left(\mathbf{A}^{2}-2\mathbf{A}+3\mathbf{I}\right)\right]=\mathbf{I}\\
\therefore \mathbf{A^{-1}}=-\frac{1}{5}\left(\mathbf{A}^{2}-2\mathbf{A}+3\mathbf{I}\right)
\end{align}](/images/math/5/d/3/5d3343ce6a5c769c586906a0be44b136.png)


), do not write it as
or
for THIS part.
(We make it clear here we are starting the second part)



(and also 



and 

and 










![\begin{align}
\mathbf{A}^{2}+2\mathbf{A}& =3\mathbf{I}\\
\mathbf{A}^{-1}\left(\mathbf{A}^{2}+2\mathbf{A}\right)& =\mathbf{A}^{-1}\left(3\mathbf{I}\right)\\
\mathbf{A}+2\mathbf{I}&=3\mathbf{A}^{-1}\\
\mathbf{A}^{-1}&=\frac{1}{3}\left(\mathbf{A}+2\mathbf{I}\right)\\
&=\frac{1}{3}\left[\begin{pmatrix} 1 & 2\\ 0 & -3 \end{pmatrix}+2\begin{pmatrix} 1 & 0\\ 0 & 1 \end{pmatrix}\right]\\
&=\frac{1}{3}\begin{pmatrix} 3 & 2\\ 0 & -1\end{pmatrix}\\
&=\begin{pmatrix} 1 & \frac{2}{3}\\ 0 & -\frac{1}{3} \end{pmatrix}
\end{align}](/images/math/8/c/f/8cf0f03889514f1fb4e81625c481dbfa.png)
, thus we will first need 







on your own first








, which will be bigger than what we need.
,which will still leave
. However, we also have 


. Do note that we need THREE
.
which can't be simplified further










![\begin{align}
\mathbf{XAB}&=\mathbf{B^{-1}}\\
\mathbf{XABB^{-1}}&=\mathbf{B^{-1}B^{-1}}\\
\mathbf{XAI}&=\mathbf{B^{-1}B^{-1}}\\
\mathbf{XAA^{-1}}&=\mathbf{B^{-1}B^{-1}A^{-1}}\\
\mathbf{XI}&=-\frac{1}{3}\begin{pmatrix} -4 & -5\\ 1 & 2 \end{pmatrix}\left[-\frac{1}{3}\begin{pmatrix} -4 & -5\\ 1 & 2 \end{pmatrix}\right]\frac{1}{4}\begin{pmatrix} 4 & 0\\ -3 & 1 \end{pmatrix}\\
&=\frac{1}{36}\begin{pmatrix} -4 & -5\\ 1 & 2 \end{pmatrix}\begin{pmatrix} -1 & -5\\ -2 & 2 \end{pmatrix}\\
&=\frac{1}{36}\begin{pmatrix} 14 & 10\\ -5 & -1 \end{pmatrix}\\
&=\begin{pmatrix} \frac{7}{18} & \frac{5}{18}\\ -\frac{5}{36} & -\frac{1}{36} \end{pmatrix}
\end{align}](/images/math/3/b/1/3b112c3fe4f13d4a95f89c31dcaa2be2.png)
,
, 





