In this exercise we will examine which invertible n × n matrices A admit an LU-factorization A = L U , as discussed in Exercise 90. The following definition will be useful: For m = 1 , ... , n , the principal submatrix A ( m ) of A is obtained by omitting all rows and columns of A past the mth . For example, the matrix A = [ 1 2 3 4 5 6 7 8 7 ] has the principal submatrices A ( 1 ) = [ 1 ] , A ( 2 ) = [ 1 2 4 5 ] , A ( 3 ) = A = [ 1 2 3 4 5 6 7 8 9 ] . We will show that an invertible n × n matrix A admits an LU-factorization A = L U if (and only if) all its principal submatrices are invertible. a. Let A = L U be an LU-factorization of an n × n matrix A. Use block matrices to show that A ( m ) = L ( m ) U ( m ) for in m = 1 , ... , n . b. Use part (a) to show that if an invertible n × n matrix A has an LU-factorization, then all its principal submatrices A ( m ) are invertible. c. Consider an n × n matrix A whose principal submatrices are all invertible. Show that A admits an LU -factorization. Hint: By induction, you can assume that A ( n − 1 ) has an LU -factorization A ( n − 1 ) = L ′ U ′ . Use block matrices to find an LU -factorization for A. Alternatively, you can explain this result in terms of Gauss—Jordan elimination (if all principal submatrices are invertible, then no row swaps are required).
In this exercise we will examine which invertible n × n matrices A admit an LU-factorization A = L U , as discussed in Exercise 90. The following definition will be useful: For m = 1 , ... , n , the principal submatrix A ( m ) of A is obtained by omitting all rows and columns of A past the mth . For example, the matrix A = [ 1 2 3 4 5 6 7 8 7 ] has the principal submatrices A ( 1 ) = [ 1 ] , A ( 2 ) = [ 1 2 4 5 ] , A ( 3 ) = A = [ 1 2 3 4 5 6 7 8 9 ] . We will show that an invertible n × n matrix A admits an LU-factorization A = L U if (and only if) all its principal submatrices are invertible. a. Let A = L U be an LU-factorization of an n × n matrix A. Use block matrices to show that A ( m ) = L ( m ) U ( m ) for in m = 1 , ... , n . b. Use part (a) to show that if an invertible n × n matrix A has an LU-factorization, then all its principal submatrices A ( m ) are invertible. c. Consider an n × n matrix A whose principal submatrices are all invertible. Show that A admits an LU -factorization. Hint: By induction, you can assume that A ( n − 1 ) has an LU -factorization A ( n − 1 ) = L ′ U ′ . Use block matrices to find an LU -factorization for A. Alternatively, you can explain this result in terms of Gauss—Jordan elimination (if all principal submatrices are invertible, then no row swaps are required).
Solution Summary: The author analyzes which invertible ntimes matrices A admit an LU-factorization A=LU.
In this exercise we will examine which invertible
n
×
n
matrices A admit an LU-factorization
A
=
L
U
, as discussed in Exercise 90. The following definition will be useful: For
m
=
1
,
...
,
n
, the principal submatrix
A
(
m
)
of A is obtained by omitting all rows and columns of A past the mth. For example, the matrix
A
=
[
1
2
3
4
5
6
7
8
7
]
has the principal submatrices
A
(
1
)
=
[
1
]
,
A
(
2
)
=
[
1
2
4
5
]
,
A
(
3
)
=
A
=
[
1
2
3
4
5
6
7
8
9
]
. We will show that an invertible
n
×
n
matrix A admits an LU-factorization
A
=
L
U
if (and only if) all its principal submatrices are invertible. a. Let
A
=
L
U
be an LU-factorization of an
n
×
n
matrix A. Use block matrices to show that
A
(
m
)
=
L
(
m
)
U
(
m
)
for in
m
=
1
,
...
,
n
. b. Use part (a) to show that if an invertible
n
×
n
matrix A has an LU-factorization, then all its principal submatrices
A
(
m
)
are invertible. c. Consider an
n
×
n
matrix A whose principal submatrices are all invertible. Show that A admits an LU-factorization. Hint: By induction, you can assume that
A
(
n
−
1
)
has an LU-factorization
A
(
n
−
1
)
=
L
′
U
′
. Use block matrices to find an LU-factorization for A. Alternatively, you can explain this result in terms of Gauss—Jordan elimination (if all principal submatrices are invertible, then no row swaps are required).
I want to learn this topic l dont know anything about it
Solve the linear system of equations attached using Gaussian elimination (not Gauss-Jordan) and back subsitution.
Remember that:
A matrix is in row echelon form if
Any row that consists only of zeros is at the bottom of the matrix.
The first non-zero entry in each other row is 1. This entry is called aleading 1.
The leading 1 of each row, after the first row, lies to the right of the leading 1 of the previous row.
PRIMERA EVALUACIÓN SUMATIVA
10. Determina la medida de los ángulos in-
teriores coloreados en cada poligono.
⚫ Octágono regular
A
11. Calcula es número de lados qu
poligono regular, si la medida
quiera de sus ángulos internos
• a=156°
A= (-2x+80
2
156 180-
360
0 = 24-360
360=24°
• a = 162°
1620-180-360
6=18-360
360=19
2=360=
18
12. Calcula las medida
ternos del cuadrilá
B
X+5
x+10
A
X+X+
Sx+6
5x=3
x=30
0
лаб
• Cuadrilátero
120°
110°
• α = 166° 40'
200=180-360
0 =
26-360
360=20
ひ=360
20
18 J
60°
⚫a=169° 42' 51.43"
169.4143180-340
0 = 10.29 54-360
360 10.2857
2=360
10.2857
@Sa
Chapter 2 Solutions
Linear Algebra With Applications (classic Version)
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