1 3 -5 -3 -1 -5 8 4 4 2-5-7 7 5 -2-4

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
Question

13

132 CHAPTER 2 Matrix Algebra
A =
mdo 2.
6. A =
7.
bonu
ori
9.
Joms
11.
13.
15.
1
-3
-6
3
3
-5 -3
1
-3
-5
ZA
2
5
[$]
-3 -4
stunsin-
[
−1
0
0
3-2 1
W
Find an LU factorization of the matrices in Exercises 7-16 (with
L unit lower triangular). Note that MATLAB will usually produce
a permuted LU factorization because it uses partial pivoting for
numerical accuracy.
of sonsistor Juodli
-3 -2
9 -5
3 -6
6 -7
7
3 4
-7
0
2
3-1 2
0
1
6-9
-4
320
0
0
4 -1 1
102)
6
1
-1 -5 8
4 2 -5 -7
-2 -4 7
-
2 -4 4
3-5 -3
oldong br
qand
0
2
ртты
-4
9
4
4-2
, b =
3
4
0
0
3 5
2
0
0-2
0
0 0 0 1
8.
-2
-1
2
nails
10.
12.
14.
-TS
6 9
4 5
14 adipi
-5o 3m 4
nxn, R is invertible and upper triangular, and Q has the
property that QTQ = I. Show that for each b in R", the
di al vid equation Ax = b has a unique solution. What computations
10-8-9 noiler ellaue with Q and R will produce the solution?
4
15
1 2
erogong I 24. (QR Factorization) Suppose A = QR, where Q and R are
nodT (ba
2-4 dm2751 brir
1 5 -4
-6-2
4
1
3
-2
-1
4 -1 5
-2
1
6 -1
9
-4
7
7
-3
6
2 -6
-4 5 -7
7 -3 Salg 16.3 3 or 5-1
10-6
omoo
80
-6uloo 4v1-8
8 -3 9
22. (Reduced LU Factorization) With A as in the Practice Prob-
lem, find a 5 x 3 matrix B and a 3 x 4 matrix C such that
A= BC. Generalize this idea to the case where A is m xn,
23. (Rank Factorization) Suppose an mxn matrix A admits a
factorization A = CD where C is m x 4 and D is 4 xn.
a. Show that A is the sum of four outer products. (See
A = LU, and U has only three nonzero rows.
Section 2.4.)
b. Let m = 400 and n = 100. Explain why a computer
programmer might prefer to store the data from A in the
form of two matrices C and D.
Ceno
=
17. When A is invertible, MATLAB finds A-¹ by factoring A
LU (where L may be permuted lower triangular), inverting
L and U, and then computing U-L-¹. Use this method to
compute the inverse of A in Exercise 2. (Apply the algorithm
of Section 2.2 to L and to U.)
lado 25. (Singular Value Decomposition) Suppose A = UDVT
where U and V are n x n matrices with the property that
UTU = I and VTV = I, and where D is a diagonal matrix
with positive numbers 0₁, ..., On on the diagonal. Show that
A is invertible, and find a formula for A-¹.
18. Find A¹ as in Exercise 17, using A from Exercise 3.
19. Let A be a lower triangular n x n matrix with nonzero entries
on the diagonal. Show that A is invertible and A-¹ is lower
triangular. [Hint: Explain why A can be changed into / using
only row replacements and scaling. (Where are the pivots?)
Also, explain why the row operations that reduce A to I
change I into a lower triangular matrix.]
anmoul
ilon tovig
ismen odD =
FIGURE 4
20. Let A = LU be an LU factorization. Explain why A can be
row reduced to U using only replacement operations. (This
fact is the converse of what was proved in the text.)
21. Suppose A = BC, where B is invertible. Show that any
sequence of row operations that reduces B to I also reduces
A to C. The converse is not true, since the zero matrix may
be factored as 0 = B.0.
Exercises 22-26 provide a glimpse of some widely used matrix
factorizations, some of which are discussed later in the text.
WEB
26. (Spectral Factorization) Suppose a 3 x 3 matrix A admits a
factorization as A = PDP-¹, where P is some invertible
3 x 3 matrix and D is the diagonal matrix
1 viro and
0
-
0 mul
V1
0
1/2
0
Show that this factorization is useful when computing high
powers of A. Find fairly simple formulas for A², A³, and Ak
(k a positive integer), using P and the entries in D.
0
0
1/3
27. Design two different ladder networks that each output 9 volts
and 4 amps when the input is 12 volts and 6 amps.
28. Show that if three shunt circuits (with resistances R₁, R₂, R3)
are connected in series, the resulting network has the same
transfer matrix as a single shunt circuit. Find a formula for
the resistance in that circuit.
29. a. Compute the transfer matrix of the network in the figure.
b. Let A =
-12
4/3
= [₁
whose transfer matrix is A by finding a suitable matrix
3].
-1/4
Design a ladder network
factorization of A.
R
V₂
ww
R₂
iz
13 13
V3
R₂
30. Fin
ther
mar
31. M
the
equ
A=
WE
(Refe
A are
the m
applic
TOWS
a. Us
iza
(W
buns dia
b. Us
Transcribed Image Text:132 CHAPTER 2 Matrix Algebra A = mdo 2. 6. A = 7. bonu ori 9. Joms 11. 13. 15. 1 -3 -6 3 3 -5 -3 1 -3 -5 ZA 2 5 [$] -3 -4 stunsin- [ −1 0 0 3-2 1 W Find an LU factorization of the matrices in Exercises 7-16 (with L unit lower triangular). Note that MATLAB will usually produce a permuted LU factorization because it uses partial pivoting for numerical accuracy. of sonsistor Juodli -3 -2 9 -5 3 -6 6 -7 7 3 4 -7 0 2 3-1 2 0 1 6-9 -4 320 0 0 4 -1 1 102) 6 1 -1 -5 8 4 2 -5 -7 -2 -4 7 - 2 -4 4 3-5 -3 oldong br qand 0 2 ртты -4 9 4 4-2 , b = 3 4 0 0 3 5 2 0 0-2 0 0 0 0 1 8. -2 -1 2 nails 10. 12. 14. -TS 6 9 4 5 14 adipi -5o 3m 4 nxn, R is invertible and upper triangular, and Q has the property that QTQ = I. Show that for each b in R", the di al vid equation Ax = b has a unique solution. What computations 10-8-9 noiler ellaue with Q and R will produce the solution? 4 15 1 2 erogong I 24. (QR Factorization) Suppose A = QR, where Q and R are nodT (ba 2-4 dm2751 brir 1 5 -4 -6-2 4 1 3 -2 -1 4 -1 5 -2 1 6 -1 9 -4 7 7 -3 6 2 -6 -4 5 -7 7 -3 Salg 16.3 3 or 5-1 10-6 omoo 80 -6uloo 4v1-8 8 -3 9 22. (Reduced LU Factorization) With A as in the Practice Prob- lem, find a 5 x 3 matrix B and a 3 x 4 matrix C such that A= BC. Generalize this idea to the case where A is m xn, 23. (Rank Factorization) Suppose an mxn matrix A admits a factorization A = CD where C is m x 4 and D is 4 xn. a. Show that A is the sum of four outer products. (See A = LU, and U has only three nonzero rows. Section 2.4.) b. Let m = 400 and n = 100. Explain why a computer programmer might prefer to store the data from A in the form of two matrices C and D. Ceno = 17. When A is invertible, MATLAB finds A-¹ by factoring A LU (where L may be permuted lower triangular), inverting L and U, and then computing U-L-¹. Use this method to compute the inverse of A in Exercise 2. (Apply the algorithm of Section 2.2 to L and to U.) lado 25. (Singular Value Decomposition) Suppose A = UDVT where U and V are n x n matrices with the property that UTU = I and VTV = I, and where D is a diagonal matrix with positive numbers 0₁, ..., On on the diagonal. Show that A is invertible, and find a formula for A-¹. 18. Find A¹ as in Exercise 17, using A from Exercise 3. 19. Let A be a lower triangular n x n matrix with nonzero entries on the diagonal. Show that A is invertible and A-¹ is lower triangular. [Hint: Explain why A can be changed into / using only row replacements and scaling. (Where are the pivots?) Also, explain why the row operations that reduce A to I change I into a lower triangular matrix.] anmoul ilon tovig ismen odD = FIGURE 4 20. Let A = LU be an LU factorization. Explain why A can be row reduced to U using only replacement operations. (This fact is the converse of what was proved in the text.) 21. Suppose A = BC, where B is invertible. Show that any sequence of row operations that reduces B to I also reduces A to C. The converse is not true, since the zero matrix may be factored as 0 = B.0. Exercises 22-26 provide a glimpse of some widely used matrix factorizations, some of which are discussed later in the text. WEB 26. (Spectral Factorization) Suppose a 3 x 3 matrix A admits a factorization as A = PDP-¹, where P is some invertible 3 x 3 matrix and D is the diagonal matrix 1 viro and 0 - 0 mul V1 0 1/2 0 Show that this factorization is useful when computing high powers of A. Find fairly simple formulas for A², A³, and Ak (k a positive integer), using P and the entries in D. 0 0 1/3 27. Design two different ladder networks that each output 9 volts and 4 amps when the input is 12 volts and 6 amps. 28. Show that if three shunt circuits (with resistances R₁, R₂, R3) are connected in series, the resulting network has the same transfer matrix as a single shunt circuit. Find a formula for the resistance in that circuit. 29. a. Compute the transfer matrix of the network in the figure. b. Let A = -12 4/3 = [₁ whose transfer matrix is A by finding a suitable matrix 3]. -1/4 Design a ladder network factorization of A. R V₂ ww R₂ iz 13 13 V3 R₂ 30. Fin ther mar 31. M the equ A= WE (Refe A are the m applic TOWS a. Us iza (W buns dia b. Us
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