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DETERMINANTS
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THE LAPLACE EXPANSION
When we have a matrix with dimension larger than 2, we use theLaplace expansionin order to calculate its determinant. For that
we need to introduce two new concepts:
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The minor determinant
The minor determinant thatcorresponds to an element is given bydeleting the row and column of the
element.
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The minor determinant
The minor determinant thatcorresponds to an element is given bydeleting the row and column of the
element.
2 311
1 4
5 1 2
3 2 3
8 1 4
The minor
determinantcorresponding tothe 5 is 11.
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The minor determinant
The minor determinant thatcorresponds to an element is given bydeleting the row and column of the
element.
1 22
1 4
The minor
determinantcorresponding tothe -3 is 2.
5 1 2
3 2 3
8 1 4
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Finding Inverses 3x3
An algorithm can be followed to find theinverse of a 3x3 matrix, M.
1. Find the matrix of minor determinants.2. Alter the signs of the minors which
dont lie on the diagonals.
3. Transpose
4. Divide by det(M)
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LAPLACE EXPANSION METHOD
To find the first row minors of A we work along row 1:
2)7(1)3(331
73
11
M
2)7(2)3(4
32
7412
M
2)3(2)1(412
3413
M
Example
312
734
142
A
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LAPLACE EXPANSION METHOD
Cofactors: The cofactor Cijis equal to the corresponding minor, Mijwith a prescribed algebraic sign attached to it. If the sum of i (the
number indicating the row) and j(the number indicating the column
is even (e.g., 2,4,8) then the cofactor has the same sign as the
minor. If the sum is odd(e.g, 3, 5) then the cofactor has the
opposite sign:
333231
232221
131211
333231
232221
131211
MMM
MMM
MMM
CCC
CCC
CCC
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LAPLACE EXPANSION METHOD To calculate the determinant we simply multiply each element of
the chosen row (or column) with its corresponding cofactor andsum the results:
131312121111131312121111
333231
232221
131211
MaMaMaCaCaCaA
aaa
aaa
aaa
A
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THE INVERSE OF A MATRIX OF HIGHER
DIMENSION
The Laplace expansion introduced us to the concept ofminors and cofactors. We use these concepts in the
calculation of the inverse of a matrix.
Specifically,
333231
232221
131211
333231
232221
131211
333231
232221
131211
MMM
MMM
MMM
CCC
CCC
CCC
C
aaa
aaa
aaa
A
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THE INVERSE OF A MATRIX OF HIGHER
DIMENSION
The transpose of the cofactor matrix is called the adjoint matrix:
adjA=C
General case of inverse matrix calculation: Provided that the
determinant of the matrix is non-zero, the inverse of any (nxn) matrix
A can be found by multiplying its adjoint matrix by 1 divided by the
determinant.
Example: Find the inverse of
703
230
114
A
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Solution
The inverse can be found as follows:
,
703
230
114
A ,2102170
2311 C 6)60(
73
2012 C
,99003
3013 C
7)07(70
1121
C 3132873
1422
C
,3)30(03
1423 C ,532
23
1131
C
8)08(20
1432 C ,12
30
1433
C,
1285
3317
9621
Cor
TCadjA1239
8316
5721
131312121111 CaCaCaA 099)9(1)6(1)21(4
1239
8316
5721
99
11
AHence
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More examples of matrix inversion
231
312
541
,
121
231
112
BA
Find where possible the inverse of:
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The Cramers rule
Now that we know how to find the inverse of a matrix, we
can solve a related system of equations in exactly the
same way as in the 2X2 case, x=A-1b. But as we saw this
is a very time and effort consuming process, involving the
calculation and subsequent inversion of the co-factor
matrix and evaluation of the determinant.
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The Cramers rule cntnd.
According to the Cramers rule, the solution for (x1, x2and x3) is
given by:
33231
22221
11211
3
33331
23221
13111
2
33323
23222
13121
1
3
3
2
2
1
1
,,
,,,
baa
baa
baa
A
aba
aba
aba
A
aab
aab
aab
A
whereA
Ax
A
Ax
A
Ax
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The Cramers rule
Example: Solve by Cramers rule:
Step 1:
13572
964
932
321
321
321
xxx
xxx
xxx
,
572
614
321
A ,
3
2
1
xx
x
x
139
9
b
,
5713
619
329
1 A
,
5132
694
391
2 A
1372
914
921
3 A
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Cramers Rule - 3 x 3
Consider the 3-equation system below with
variables x, yand z:
a1xb
1yc
1zC
1
a2xb2y
c2z
C2
a3xb
3yc
3zC
3
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THE CRAMERS RULE
Step 2: Calculate321 ,,, AAAA
6372
143
52
642
57
611
572
614
321
A
315713
193513
69257
619
5713
619
329
1 A
63132
943
52
649
513
691
5132
694
391
2
A
12672
149
132
942
137
911
1372
914
921
3
A
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THE CRAMERS RULE
Step 3: Calculate x1, x2and x3
263
126,1
63
63,5
63
315 33
2
2
1
1
A
Ax
A
Ax
A
Ax
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Cramers Rule - 3 x 3
The formulae for the values of x, yand zare shownbelow. Notice that all three have the samedenominator.
x
C1 b
1 c
1
C2 b
2 c
2
C3 b
3 c
3
a1 b
1 c
1
a2 b
2 c
2
a3 b
3 c
3
y
a1 C
1 c
1
a2 C
2 c
2
a3 C
3 c
3
a1 b
1 c
1
a2 b
2 c
2
a3 b
3 c
3
z
a1 b
1 C
1
a2 b
2 C
2
a3 b
3 C
3
a1 b
1 c
1
a2 b
2 c
2
a3 b
3 c
3
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Cramers Rule
Not all systems have a definite solution. If thedeterminant of the coefficient matrix is zero, a solutioncannot be found using Cramers Rule
due to division by zero.
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Cramers Rule
Example:Solve the system 3x- 2y+ z= 9
x+ 2y- 2z= -5x+ y - 4z= -2
x
9 2 1
5 2 2
2 1 43 2 1
1 2 2
1 1 4
2323
1 y
3 9 1
1 5 2
1 2 43 2 1
1 2 2
1 1 4
6923
3
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Cramers Rule
Example, continued: 3x- 2y+ z= 9
x+ 2y- 2z= -5
x+ y- 4z= -2
z
3 2 9
1 2 5
1 1 2
3 2 11 2 2
1 1 4
0
23 0
The solution is
(1, -3, 0)