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Introduction to Linear Algebra, 4th edition--Gilbert Strang 答案
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MIT教材 Introduction to Linear Algebra, 4th edition--Gilbert Strang 答案
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INTRODUCTION
TO
LINEAR
ALGEBRA
Fourth Edition
MANUAL FOR INSTRUCTORS
Gilbert Strang
Massachusetts Institute of Technology
math.mit.edu/linearalgebra
web.mit.edu/18.06
video lectures: ocw.mit.edu
math.mit.edu/gs
www.wellesleycambridge.com
email: gs@math.mit.edu
Wellesley-Cambridge Press
Box 812060
Wellesley, Massachusetts 02482
2
Solutions to Exercises
Problem Set 1.1, page 8
1 The combinations give (a) a line in R
3
(b) a plane in R
3
(c) all of R
3
.
2 v Cw D .2; 3/ and v w D .6; 1/ will be the diagonals of the parallelogram with v
and w as two sides going out from .0; 0/.
3 This problem gives the diagonals v C w and v w of the parallelogram and asks for
the sides: The opposite of Problem 2. In this example v D .3; 3/ and w D .2; 2/.
4 3v C w D .7; 5/ and cv C d w D .2c C d; c C 2d /.
5 uCv D .2; 3; 1/ and uCvCw D .0; 0; 0/ and 2uC2vCw D . add first answers/ D
.2; 3; 1/. The vectors u; v; w are in the same plane because a combination gives
.0; 0; 0/. Stated another way: u D v w is in the plane of v and w.
6 The components of every cv C d w add to zero. c D 3 and d D 9 give .3; 3; 6/.
7 The nine combinations c.2; 1/ C d.0; 1/ with c D 0; 1; 2 and d D .0; 1; 2/ will lie on
a lattice. If we took all whole numbers c and d, the lattice would lie over the whole
plane.
8 The other diagonal is v w (or else w v ). Adding diagonals gives 2v (or 2w).
9 The fourth corner can be .4; 4/ or .4; 0/ or .2; 2/. Three possible parallelograms!
10 i j D .1; 1; 0/ is in the base (x-y plane). i Cj Ck D .1; 1; 1/ is the opposite corner
from .0; 0; 0/. Points in the cube have 0 x 1, 0 y 1, 0 z 1.
11 Four more corners .1; 1; 0/; .1; 0; 1/; .0; 1; 1/; .1; 1; 1/. The center point is .
1
2
;
1
2
;
1
2
/.
Centers of faces are .
1
2
;
1
2
; 0/; .
1
2
;
1
2
; 1/ and .0;
1
2
;
1
2
/; .1;
1
2
;
1
2
/ and .
1
2
; 0;
1
2
/; .
1
2
; 1;
1
2
/.
12 A four-dimensional cube has 2
4
D 16 corners and 2 4 D 8 three-dimensional faces
and 24 two-dimensional faces and 32 edges in Worked Example 2.4 A.
13 Sum D zero vector. Sum D 2:00 vector D 8:00 vector. 2:00 is 30
ı
from horizontal
D .cos
6
; sin
6
/ D .
p
3=2; 1=2/.
14 Moving the origin to 6:00 adds j D . 0; 1/ to every vector. So the sum of twelve vectors
changes from 0 to 12j D .0; 12/.
15 The point
3
4
v C
1
4
w is three-fourths of the way to v starting from w. The vector
1
4
v C
1
4
w is halfway to u D
1
2
v C
1
2
w. The vector v C w is 2u (the far corner of the
parallelogram).
16 All combinations with c C d D 1 are on the line that passes through v and w.
The point V D v C 2w is on that line but it is beyond w.
17 All vectors cv C cw are on the line passing through .0; 0/ and u D
1
2
v C
1
2
w. That
line continues out beyond v C w and back beyond .0; 0/. With c 0, half of this line
is removed, leaving a ray that starts at .0; 0/.
18 The combinations cv C dw with 0 c 1 and 0 d 1 fill the parallelogram with
sides v and w. For example, if v D .1; 0/ and w D .0; 1/ then cv C d w fills the unit
square.
19 With c 0 and d 0 we get the infinite “cone” or “wedge” between v and w. For
example, if v D .1; 0/ and w D .0; 1/, then the cone is the whole quadrant x 0,
y 0. Question: What if w D v? The cone opens to a half-space.
Solutions to Exercises
3
20 (a)
1
3
u C
1
3
v C
1
3
w is the center of the triangle between u; v and w;
1
2
u C
1
2
w lies
between u and w (b) To fill the triangle keep c 0, d 0, e 0, and c Cd Ce D 1.
21 The sum is .v u/ C.w v/ C.u w/ D zero vector. Those three sides of a triangle
are in the same plane!
22 The vector
1
2
.u Cv Cw/ is outside the pyramid because c Cd Ce D
1
2
C
1
2
C
1
2
> 1.
23 All vectors are combinations of u; v; w as drawn (not in the same plane). Start by seeing
that cu C d v fills a plane, then adding ew fills all of R
3
.
24 The combinations of u and v fill one plane. The combinations of v and w fill another
plane. Those planes meet in a line: only the vectors cv are in both planes.
25 (a) For a line, choose u D v D w D any nonzero vector (b) For a plane, choose
u and v in different directions. A combination like w D u C v is in the same plane.
26 Two equations come from the two components: c C 3d D 14 and 2c C d D 8. The
solution is c D 2 and d D 4. Then 2.1; 2/ C 4 .3; 1/ D .14; 8/.
27 The combinations of i D .1; 0; 0/ and i Cj D .1; 1; 0/ fill the xy plane in xyz space.
28 There are 6 unknown numbers v
1
; v
2
; v
3
; w
1
; w
2
; w
3
. The six equations come from the
components of v C w D .4; 5; 6/ and v w D .2; 5; 8/. Add to find 2v D .6; 10; 14/
so v D .3; 5; 7/ and w D .1; 0; 1/.
29 Two combinations out of infinitely many that produce b D .0; 1/ are 2u C v and
1
2
w
1
2
v. No, three vectors u; v; w in the x-y plane could fail to produce b if all
three lie on a line that does not contain b. Yes, if one combination produces b then
two (and infinitely many) combinations will produce b. This is true even if u D 0; the
combinations can have different cu .
30 The combinations of v and w fill the plane unless v and w lie on the same line through
.0; 0/. Four vectors whose combinations fill 4-dimensional space: one example is the
“standard basis” .1; 0; 0; 0/; .0; 1; 0 ; 0/; .0; 0; 1; 0/, and .0; 0; 0; 1/.
31 The equations cu C d v C ew D b are
2c d D 1
c C2d e D 0
d C2e D 0
So d D 2e
then c D 3e
then 4e D 1
c D 3=4
d D 2=4
e D 1=4
Problem Set 1.2, page 19
1 u v D 1:8 C 3 :2 D 1:4, u w D 4:8 C 4:8 D 0, v w D 24 C 24 D 48 D w v.
2 kuk D 1 and kvk D 5 and kwk D 1 0. Then 1:4 < .1/.5/ and 48 < .5/.10/, confirming
the Schwarz inequality.
3 Unit vectors v=kvk D .
3
5
;
4
5
/ D .:6; :8/ and w=kwk D .
4
5
;
3
5
/ D .:8; :6/. The cosine
of is
v
kvk
w
kwk
D
24
25
. The vectors w; u; w make 0
ı
; 90
ı
; 180
ı
angles with w.
4 (a) v .v/ D 1 (b) .v C w/ .v w/ D v v C w v v w w w D
1C. /. /1 D 0 so D 90
ı
(notice vw D wv) (c) .v2w/.v C2w/ D
v v 4 w w D 1 4 D 3.
4
Solutions to Exercises
5 u
1
D v=kvk D .3; 1/=
p
10 and u
2
D w=kwk D .2; 1; 2/=3. U
1
D .1; 3/=
p
10 is
perpendicular to u
1
(and so is .1; 3/=
p
10). U
2
could be .1; 2; 0/=
p
5: There is a
whole plane of vectors perpendicular to u
2
, and a whole circle of unit vectors in that
plane.
6 All vectors w D .c; 2c/ are perpendicular to v. All vectors .x; y; z/ with xCy Cz D 0
lie on a plane. All vectors perpendicular to .1; 1; 1/ and .1; 2; 3/ lie on a line.
7 (a) cos D v w=kvkkwk D 1=.2/.1/ so D 60
ı
or =3 radians (b) cos D 0
so D 90
ı
or =2 radians (c) cos D 2= . 2/.2/ D 1=2 so D 60
ı
or =3
(d) cos D 1=
p
2 so D 135
ı
or 3=4.
8 (a) False: v and w are any vectors in the plane perpendicular to u (b) True: u .v C
2w/ D u v C 2u w D 0 (c) True, ku vk
2
D .u v/ .u v/ splits into
u u C v v D 2 when u v D v u D 0.
9 If v
2
w
2
=v
1
w
1
D 1 then v
2
w
2
D v
1
w
1
or v
1
w
1
Cv
2
w
2
D vw D 0: perpendicular!
10 Slopes 2=1 and 1=2 multiply to give 1: then vw D 0 and the vectors (the directions)
are perpendicular.
11 v w < 0 means angle > 90
ı
; these w’s fill half of 3-dimensional space.
12 .1; 1/ perpendicular to .1; 5/ c.1; 1/ if 6 2c D 0 or c D 3; v .w cv/ D 0 if
c D v w=v v. Subtracting cv is the key to perpendicular vectors.
13 The plane perpendicular to .1; 0; 1/ contains all vectors .c; d; c/. In that plane, v D
.1; 0; 1/ and w D .0; 1; 0/ are perpendicular.
14 One possibility among many: u D .1; 1; 0; 0/; v D .0; 0; 1; 1/; w D .1; 1; 1; 1/
and .1; 1; 1; 1/ are perpendicular to each other. “We can rotate those u; v; w in their 3D
hyperplane.”
15
1
2
.x C y/ D .2 C 8/=2 D 5; cos D 2
p
16=
p
10
p
10 D 8=10.
16 kvk
2
D 1 C1 CC1 D 9 so kvk D 3Iu D v=3 D .
1
3
; : : : ;
1
3
/ is a unit vector in 9D;
w D .1; 1; 0; : : : ; 0/=
p
2 is a unit vector in the 8D hyperplane perpendicular to v.
17 cos ˛ D 1=
p
2, cos ˇ D 0, cos D 1=
p
2. For any vector v, cos
2
˛Ccos
2
ˇCcos
2
D .v
2
1
C v
2
2
C v
2
3
/=kvk
2
D 1.
18 kvk
2
D 4
2
C 2
2
D 20 and kwk
2
D .1/
2
C 2
2
D 5. Pythagoras is k.3; 4/k
2
D 25 D
20 C 5.
19 Start from the rules .1/; .2/; .3/ for vw D wv and u.vCw/ and .cv/w. Use rule .2/
for .vCw/.vCw/ D .vCw/vC . vCw/w. By rule .1/ this is v.vCw/Cw.vCw/.
Rule .2/ again gives v v C v w C w v C w w D v v C 2v w C w w. Notice
v w D w v ! The main point is to be free to open up parentheses.
20 We know that .v w/ .v w/ D v v 2v w C w w. The Law of Cosines writes
kvkkwkcos for v w. When < 90
ı
this v w is positive, so in this case v v Cw w
is larger than kv wk
2
.
21 2vw 2kvkkwkleads to kvCwk
2
D vvC2vwCww kvk
2
C2kvkkwkCkwk
2
.
This is .kvk C kwk/
2
. Taking square roots gives kv C wk kvk C kwk.
22 v
2
1
w
2
1
C2v
1
w
1
v
2
w
2
Cv
2
2
w
2
2
v
2
1
w
2
1
Cv
2
1
w
2
2
Cv
2
2
w
2
1
Cv
2
2
w
2
2
is true (cancel 4 terms)
because the difference is v
2
1
w
2
2
C v
2
2
w
2
1
2v
1
w
1
v
2
w
2
which is .v
1
w
2
v
2
w
1
/
2
0.
Solutions to Exercises
5
23 cos ˇ D w
1
=kwk and sin ˇ D w
2
=kwk. Then cos.ˇ a/ D cos ˇ cos ˛Csinˇ sin˛ D
v
1
w
1
=kvkkwk C v
2
w
2
=kvkkwk D v w=kvkkwk. This is cos because ˇ ˛ D .
24 Example 6 gives ju
1
jjU
1
j
1
2
.u
2
1
CU
2
1
/ and ju
2
jjU
2
j
1
2
.u
2
2
CU
2
2
/. The whole line
becomes :96 .:6/.:8/ C.:8/.:6/
1
2
.:6
2
C:8
2
/ C
1
2
.:8
2
C:6
2
/ D 1. True: :96 < 1.
25 The cosine of is x=
p
x
2
C y
2
, near side over hypotenuse. Then jcos j
2
is not greater
than 1: x
2
=.x
2
C y
2
/ 1.
26 The vectors w D .x; y/ with .1; 2/ w D x C 2 y D 5 lie on a line in the xy plane.
The shortest w on that line is .1; 2/. (The Schwarz inequality kwk v w=kvk D
p
5
is an equality when cos D 0 and w D .1; 2/ and kwk D
p
5.)
27 The length k v wk is between 2 and 8 (triangle inequality when kvk D 5 and kwk D
3). The dot product v w is between 15 and 15 by the Schwarz inequality.
28 Three vectors in the plane could make angles greater than 90
ı
with each other: for
example .1; 0/; .1; 4/; .1; 4/. Four vectors could not do this (360
ı
total angle).
How many can do this in R
3
or R
n
? Ben Harris and Greg Marks showed me that the
answer is n C 1: The vectors from the center of a regular simplex in R
n
to its n C 1
vertices all have negative dot products. If nC2 vectors in R
n
had negative dot products,
project them onto the plane orthogonal to the last one. Now you have n C 1 vectors in
R
n1
with negative dot products. Keep going to 4 vectors in R
2
: no way!
29 For a specific example, pick v D .1; 2; 3/ and then w D .3; 1; 2/. In this example
cos D v w=kvkkwk D 7=
p
14
p
14 D 1=2 and D 120
ı
. This always
happens when x C y C z D 0:
v w D xz C xy C yz D
1
2
.x C y C z/
2
1
2
.x
2
C y
2
C z
2
/
This is the same as v w D 0
1
2
kvkkwk: Then cos D
1
2
:
30 Wikipedia gives this proof of geometric mean G D
3
p
xyz arithmetic mean
A D .x C y C z/=3. First there is equality in case x D y D z. Otherwise A is
somewhere between the three positive numbers, say for example z < A < y.
Use the known inequality g a for the two positive numbers x and y C z A. Their
mean a D
1
2
.x C y C z A/ is
1
2
.3A A/ D same as A! So a g says that
A
3
g
2
A D x.y C z A/A. But .y C z A/A D .y A / .A z/ C yz > yz.
Substitute to find A
3
> xyz D G
3
as we wanted to prove. Not easy!
There are many proofs of G D .x
1
x
2
x
n
/
1=n
A D . x
1
C x
2
C C x
n
/=n. In
calculus you are maximizing G on the plane x
1
C x
2
C C x
n
D n. The maximum
occurs when all x’s are equal.
31 The columns of the 4 by 4 “Hadamard matrix” (times
1
2
) are perpendicular unit
vectors:
1
2
H D
1
2
2
6
4
1 1 1 1
1 1 1 1
1 1 1 1
1 1 1 1
3
7
5
:
32 The commands V D randn .3; 30/ID D sqrt .diag .V
0
V //I U D V \DI will give
30 random unit vectors in the columns of U . Then u
0
U is a row matrix of 30 dot
products whose average absolute value may be close to 2=.
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