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Title: Answer Key to Introduction to Linear Algebra, 6th Edition (by Gilbert Strang) | Complete Step-by-Step Answers and Worked Solutions for Vectors, Matrices, Systems of Equations, Determinants, Eigenvalues, Orthogonality, Singular Value Decomposition (

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The Answer Key to Introduction to Linear Algebra, 6th Edition by Gilbert Strang is a comprehensive, solution-focused companion designed to assist students, instructors, and independent learners in mastering one of the most widely used linear algebra textbooks in academia. Written to align precisely with the 6th edition of Strang’s classic text, this answer key provides clear, organized, and fully worked-out solutions to all major problems, offering an essential guide for deep understanding and efficient learning. Each chapter’s solutions are carefully structured to emphasize both theoretical reasoning and computational accuracy, allowing students to see how linear algebra concepts translate into real-world problem-solving. Every exercise is solved step-by-step, highlighting the mathematical logic, row operations, and interpretations needed to build both intuition and technical proficiency. Core topics covered in this answer key include: Vectors and vector spaces: understanding linear independence, span, and basis formation. Matrices and systems of linear equations: Gaussian elimination, LU decomposition, and inverse computation. Determinants and eigenvalues: computation, interpretation, and applications in linear transformations. Orthogonality and projections: Gram-Schmidt process, least-squares approximations, and orthogonal matrices. Singular Value Decomposition (SVD): conceptual understanding, computation, and connection to data analysis. Linear transformations: matrix representations, change of basis, and diagonalization. Applications in engineering and science: from differential equations and control systems to computer graphics and machine learning. The Answer Key maintains the clarity and geometric intuition that Gilbert Strang’s teaching is known for. It helps students visualize the underlying structure of problems while improving their ability to reason abstractly. Each solution reinforces essential algebraic manipulations and theoretical interpretations, guiding learners to recognize patterns and verify their answers independently. This manual is ideal for: Undergraduate students using Strang’s textbook in engineering, physics, computer science, or applied math courses. Graduate students and instructors who need a reliable reference for problem sets, tutorials, and solution verification. Independent learners preparing for exams or reviewing fundamental concepts before studying advanced topics like machine learning, optimization, and numerical analysis. By following the detailed solutions in this key, learners gain the ability to move confidently between symbolic, geometric, and computational perspectives—making it a powerful supplement for self-study and academic success. The combination of theoretical explanation and step-by-step computation ensures that even complex problems become accessible and understandable. In summary, the Answer Key to Introduction to Linear Algebra, 6th Edition by Gilbert Strang is not just a list of answers—it is a complete learning resource designed to help students master the essential techniques, insights, and problem-solving strategies that make linear algebra the foundation of modern applied mathematics.

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ALL 10 CHAPTERS COVERED




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,Solutions to Exercises 2

Problem Set 1.1, page 8

1 The combinations give (a) a line in R3 (b) a plane in R3 (c) all of R3.

2 v + w = (2, 3) and v − w = (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 + w and v − w of the parallelogram 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 of 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 combinations 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 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 = (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 , 1 , 1 ).
2 2 2
Centers of faces are ( 1 , 1 , 0), ( 1 , 1 , 1) and (0, 1 , 1 ), (1, 1 , 1 ) and ( 1 , 0, 1 ), ( 1 , 1, 1 ).
2 2 2 2 2 2 2 2 2 2 2 2

12 The combinations 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 , sin π ) = ( 3/2, 1/2).
6 6

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).




@LECTSOLUTIONSSTUVIA

,Solutions to Exercises 3

3 1
15 The point v+
w is three-fourths of the way to v starting from w. The vector
4 4
1 1 1 1
v + w is halfway to u = v + w. The vector v + w is 2u (the far corner of the
4 4 2 2
parallelogram).

16 All combinations with c + d = 1 are on the line that passes through v and w.
The point V = −v + 2w is on that line but it is beyond w.
17 All vectors cv + cw are on the line passing through (0, 0) and u = 1 v + 1 w. That
2 2

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) these combinations only fill a segment of
a line.

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 quadrant x ≥ 0, y

0. Question: What if w = −v? The cone opens to a half-space. But the combinations
of v = (1, 0) and w = (−1, 0) only fill a line.
20 (a) 1 u + 1 v + 1 w is the center of the triangle between u, v and w; 1 u + 1 w lies
3 3 3 2 2

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 (u + v + w) is outside the pyramid because c + d + e = 1
+1+ 1
> 1.
2 2 2 2

23 All vectors are combinations of u, v, w as drawn (not in the same plane). Start by
seeing that cu + dv fills a plane, then adding ew fills all of R3.

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 directions. A combination like w = u + v is in the same plane.




@LECTSOLUTIONSSTUVIA

, Solutions to Exercises 4

26 Two equations come 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 24 = 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 v1, v2, v3, w1, w2, w3. The six equations 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 many more—just add c, d,
e or 2c, 2d, 2e to the particular solution 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 another 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 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 + dv + ew = b are


2c −d = 1 So d = 2e c = 3/4
−c +2d −e = 0 then c = d = 2/4
−d +2e = 0 3e then 4e e = 1/4
=1





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