High School Mathematics Extensions/Matrices/Solutions
From Wikibooks, the open-content textbooks collection
Note: The best way to view these pages is to set your Math Preferences to "Always Render PNG".
| HSME |
| Content |
|---|
| Problems & Projects |
| Soultions |
| Misc. |
Contents |
[edit] Matrices
At the moment, the main focus is on authoring the main content of each chapter. Therefore this exercise solutions section may be out of date and appear disorganised.
If you have a question please leave a comment in the "discussion section" or contact the author or any of the major contributors.
[edit] Matrix Multiplication exercises
[edit] Multiplication of non-vector matrices exercises
1.
- a)

- b)

2.
- a)




- b)




3.
The important thing to notice here is that the 2x2 matrix remains the same when multiplied with the other matrix. The matrix with only 1s on the diagonal and 0s elsewhere is known as the identity matrix, called I, and any matrix multiplied on either side of it stays the same. That is 
NB:The remaining exercises in this section are leftovers from previous exercises in the 'Multiplication of non-vector matrices' section
3.
The important thing to notice here is that the 1 to 9 matrix remains the same when multiplied with the other matrix. The matrix with only 1s on the diagonal and 0s elsewhere is known as the identity matrix, called I, and any matrix multiplied on either side of it stays the same. That is 
4. a)
b)
c) 
d)
e) As an example I will first calculate A2
Now lets do the same simplifications I have done above with A5-
f)
[edit] Determinant and Inverses exercises
1.
The simultanious equation will be translated into the following matrices
Because we already know that
We can say that there is no unique solution to these simultaneous equations.
2. First calculate the value when you multiply the determinants

- (ad - bc)(eh - fg) =
- adeh - bceh - adfg + bcfg
Now let's calculate C by doing the matrix multiplication first


- (ae + bg)(cf + dh) - (af + bh)(ce + dg) =
- aecf + bgcf + aedh + bgdh - afce - bgce - afdg - bhdg =
- bgcf + aedh - bgce - afdg
Which is equal to the value we calculated when we multiplied the determinants, thus
- det(C) = det(A)det(B)
for the 2×2 case.
3.

- det(A) = ad - bc

- det(A') = cb - da
- - det(A') = - (bc - ad) = ad - bc
Thus det(A) = -det(A') is true.
4. a)
- A = P - 1BP
- det(A) = det(P - 1)det(B)det(P) =
- det(P - 1)det(P)det(B) =
- det(P - 1P)det(B) =
- det(I)det(B) =
- det(B) as det(I) = 1.
thus det(A) = det(B) b) if Ak = 0 for some k it means that det(Ak) = 0. But we can write det(Ak) = det(A)k, thus det(A)k = 0. This means that det(A) = 0.
5. a)
- A5 =





b)
c)
d)
- A5 =









We see that P and it's inverse disappear when you raise the matrix to the fifth power. Thus you can see that we can calculate An very easily because you only have to raise the diagonal matrix to the n-th power. Raising diagonal matrices to a certain power is very easy because you only have to raise the numbers on the diagonal to that power.
f) We use the method derived in the exercise above.
- A100 =












































