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).
Solve the system of equation for y using Cramer's rule. Hint: The
determinant of the coefficient matrix is -23.
-
5x + y − z = −7
2x-y-2z = 6
3x+2z-7
eric
pez
Xte
in
z=
Therefore, we have
(x, y, z)=(3.0000,
83.6.1 Exercise
Gauss-Seidel iteration with
Start with (x, y, z) = (0, 0, 0). Use the convergent Jacobi i
Tol=10 to solve the following systems:
1.
5x-y+z = 10
2x-8y-z=11
-x+y+4z=3
iteration (x
Assi 2
Assi 3.
4.
x-5y-z=-8
4x-y- z=13
2x - y-6z=-2
4x y + z = 7
4x-8y + z = -21
-2x+ y +5z = 15
4x + y - z=13
2x - y-6z=-2
x-5y- z=-8
realme Shot on realme C30
2025.01.31 22:35
f
Use Pascal's triangle to expand the binomial
(6m+2)^2
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