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INTRODUCTION
TO
LINEAR
ALGEBRA
Fifth 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: linearalgebrabook@gmail.com
Wellesley-Cambridge Press
Box 812060
Wellesley, Massachusetts 02482

2
Solutions to Exercises
Problem Set 1.1, page 8
1 T
he combinations give (a) a line in R
3
(b) a p lane in R
3
(c) all of R
3
.
2 v + w = (2, 3) and v − w = (6, −1) will be the diag onals of t he parallelogram with
v and w as two sides going out from (0, 0).
3 This problem gives the diagonals v + w and v − w of the parallelog ram and asks for
the sides: The opposite of Problem 2. In this example v = (3, 3) and w = (2, −2).
4 3v + w = (7, 5) and cv + dw = (2c + d, c + 2d).
5 u+v = (−2, 3, 1) and u+v+w = (0, 0, 0) and 2u+2v+w = ( add first answers) =
(−2, 3, 1). The vectors u, v, w are in the same plane because a combination gives
(0, 0, 0). Stated another way: u = −v − w is in the plane o f v and w.
6 The components of every cv + dw add to zero because the components of v and of w
add to zero. c = 3 and d = 9 give(3, 3, −6). There is no solution to cv+dw = (3, 3, 6)
because 3 + 3 + 6 is not zero.
7 The nine combin ations c(2, 1) + d(0, 1) with c = 0, 1, 2 and d = (0, 1, 2) will lie on a
lattice. If we took all whole numbers c and d, the lattice would li e over the whole plane.
8 The o ther diagonal i s v − w (or el se w − v). Addin g 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 = (1, 1, 0) is in the base (x-y plane). i + j + k = (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 The comb inations of i = (1, 0, 0) and i + j = (1, 1, 0) fill the xy plane in xyz space.
13 Sum = zero vector. Sum = −2:00 vector = 8:00 vector. 2:00 is 30
◦
from horizontal
= (cos
π
6
, sin
π
6
) = (
√
3/2, 1/2).
14 Moving the origin to 6:00 adds j = (0, 1) to every vector. So the sum of twelve vectors
changes from 0 to 12j = (0, 12).

Solutions to Exercises
3
15 The point
3
4
v +
1
4
w is three-fourths of t he way to v starting from w. The vector
1
4
v +
1
4
w is halfway to u =
1
2
v +
1
2
w. The vector v + w is 2u (the far corner of the
parallelogram).
16 All combinations with c + d = 1 are o n the line that passes through v and w.
The p oint V = − v + 2w is o n th at line but it is beyond w.
17 All vectors cv + cw are on the line passing t hrough (0, 0) and u =
1
2
v +
1
2
w. That
line continues out beyond v + 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 + dw with 0 ≤ c ≤ 1 and 0 ≤ d ≤ 1 fill the parallelogram with
sides v and w . For example, if v = (1, 0 ) and w = (0, 1) then cv + dw fills the unit
square. But when v = (a, 0) and w = (b, 0) t hese combinat ions only fill a segment of
a l ine.
19 With c ≥ 0 and d ≥ 0 we get the infinite “cone” or “wedge” between v and w. For
example, if v = (1, 0) and w = (0, 1), then the cone is the whole q uadrant x ≥ 0, y ≥
0. Question: What if w = −v? The cone o pens t o a half-space. But the combinations
of v = (1, 0) and w = (−1, 0) only fill a l ine.
20 (a)
1
3
u +
1
3
v +
1
3
w is the center of the triang le between u, v and w;
1
2
u +
1
2
w li es
between u and w (b) To fill the triangle keep c≥0, d ≥0, e ≥0, and c +d+e = 1.
21 The sum is (v −u)+ (w −v) + (u −w) = zero vector. Those three sides of a triangle
are in the same plane!
22 The vector
1
2
(u + v + w) is o utside the pyramid because c + d + e =
1
2
+
1
2
+
1
2
> 1.
23 All vectors are combinations of u, v, w as drawn (not in the same plane). Start by
seeing that cu + dv fi lls a plan e, 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 = v = w = any nonzero vector (b) For a plane, choose
u and v in different directio ns. A combination like w = u + v is in the same plane.

4
Solutions to Exercises
26 Two eq uations co me from the two components: c + 3d = 14 and 2c + d = 8. The
solution is c = 2 and d = 4. Then 2(1, 2) + 4(3, 1) = (14, 8).
27 A four-dimensional cube has 2
4
= 16 corners and 2 · 4 = 8 three-dimensional faces
and 24 two-dimensional faces and 32 edges in Worked Example 2.4 A.
28 There are 6 unknown numbers v
1
, v
2
, v
3
, w
1
, w
2
, w
3
. The six equati ons come from the
components of v + w = (4, 5, 6) and v − w = (2, 5, 8). Add to find 2v = (6, 10, 14 )
so v = (3, 5, 7) and w = (1, 0, −1).
29 Fact: For any three vectors u, v, w in the plane, some combination cu + dv + ew is
the zero vector (beyond the obvious c = d = e = 0). So if there is one combination
Cu+Dv +Ew that produces b, there will be m any more—just add c, d, e or 2c, 2d, 2e
to the particular sol ution C, D, E.
The example has 3u − 2v + w = 3(1, 3) − 2(2, 7) + 1(1, 5) = (0, 0). It also has
−2u + 1v + 0w = b = (0, 1 ). Adding gives u − v + w = (0, 1). In this case c, d , e
equal 3, −2, 1 and C, D , E = −2, 1, 0.
Could an other example have u, v, w that could NOT combine to produce b ? Yes. The
vectors (1, 1), (2, 2), (3, 3) are on a line and no combination produces b. We can easily
solve cu + dv + ew = 0 but not Cu + Dv + Ew = b.
30 The combinations of v and w fill the plane unless v and w li e on the same line through
(0, 0). Four vectors whose combinati ons fill 4-dimensional space: one example is the
“standard basis” (1, 0, 0 , 0), (0, 1, 0, 0), (0, 0, 1, 0), an d (0, 0, 0, 1).
31 The equati ons cu + dv + ew = b are
2c −d = 1
−c +2d −e = 0
−d +2e = 0
So d = 2e
then c = 3e
then 4e = 1
c = 3/4
d = 2/4
e = 1/4

Solutions to Exercises
5
Problem Set 1.2, page 18
1 u · v = −2.4
+ 2.4 = 0 , u · w = −.6 + 1.6 = 1, u · (v + w) = u · v + u · w =
0 + 1, w · v = 4 + 6 = 10 = v · w.
2 kuk = 1 and kvk = 5 and kwk =
√
5. Then |u · v| = 0 < (1 )(5) and |v · w| = 10 <
5
√
5, confirming the Schwarz inequality.
3 Unit vectors v/kvk = (
4
5
,
3
5
) = (0.8, 0.6). The vectors w, (2, −1 ), and −w make
0
◦
, 90
◦
, 180
◦
angles w ith w an d w/kwk = (1/
√
5, 2/
√
5). The cosine of θ is
v
kvk
·
w
kwk
= 1 0/5
√
5.
4 (a) v · (−v) = −1 (b) (v + w) · (v − w) = v · v + w · v − v · w − w · w =
1+( )−( )−1 = 0 so θ = 90
◦
(notice v·w = w·v) (c) (v−2w)·(v+2w) =
v · v − 4w · w = 1 − 4 = −3.
5 u
1
= v /kvk = (1 , 3)/
√
10 and u
2
= w/kwk = (2, 1, 2 )/ 3. U
1
= (3, −1)/
√
10 is
perpendicular to u
1
(and so is (−3, 1)/
√
10). U
2
could be (1, −2, 0)/
√
5: There is a
whole plane of vectors perpendicular to u
2
, and a w hole circle of un it vectors in that
plane.
6 All vectors w = (c, 2c) are perpendicular to v. They lie on a li ne. All vectors (x, y, z)
with x + y + z = 0 lie on a plane. All vectors perpendicular to (1, 1, 1) and (1, 2, 3)
lie on a li ne i n 3-dimension al space.
7 (a) cos θ = v · w/kvkk wk = 1/(2)(1) so θ = 60
◦
or π/3 radians (b) cos θ =
0 so θ = 90
◦
or π/2 radians (c) co s θ = 2/(2)(2) = 1/2 so θ = 60
◦
or π/3
(d) cos θ = −1/
√
2 so θ = 135
◦
or 3π/4.
8 (a) False: v and w are any vectors in the plane perpendicular to u (b) True: u ·
(v + 2w) = u ·v + 2u · w = 0 (c) True, ku −vk
2
= (u −v) ·(u − v) splits into
u · u + v · v = 2 when u · v = v · u = 0.
9 If v
2
w
2
/v
1
w
1
= −1 then v
2
w
2
= −v
1
w
1
or v
1
w
1
+v
2
w
2
= v ·w = 0: perpendicular!
The vectors (1, 4) and (1 , −
1
4
) are perpend icular.
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