Math 333 - Practice Exam: Vector Spaces and Linear Independence, Exams of Linear Algebra

A practice exam for math 333, focusing on vector spaces, subspaces, linear independence, and generating sets. It includes definitions, examples, and proofs to help students understand these concepts.

Typology: Exams

Pre 2010

Uploaded on 08/18/2009

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Math 333 - Practice Exam
(Note that the exam will NOT be this long.)
1 Definitions
1. (0 points) Let Ube a subset of a vector space V. Let S={v1, v2, . . . , vn}be
another subset of V.
(a) Define Uis a subspace of V”.
(b) Define Sis linearly independent”.
(c) Define Sgenerates V”.
2 Vector Spaces and Subspaces
2. (0 points)
(a) Give three examples of 4-dimensional vector spaces.
(b) Give one example of an infinite dimensional vector space.
(c) Give an example of a zero-dimensional vector space.
3. (0 points) Let S1and S2be subspaces of a vector space V. Prove that the union
S1S2is a subspace of Vif and only if one is contained in the other (that is, either
S1S2or S2S1.)
3 Linear Independence, Generating Sets, and Bases
4. (0 points) Let S={x2+ 3x, x 2}be a subset of P2(R).
(a) Explain why Sis not a basis of P2(R).
(b) Is 1
3x2+ 2 in span(S)? Explain.
(c) Is 2x2+ 5x+ 4 in span(S)? Explain.
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Math 333 - Practice Exam

(Note that the exam will NOT be this long.)

1 Definitions

  1. (0 points) Let U be a subset of a vector space V. Let S = {v 1 , v 2 ,... , vn} be another subset of V. (a) Define “U is a subspace of V ”.

(b) Define “S is linearly independent”.

(c) Define “S generates V ”.

2 Vector Spaces and Subspaces

  1. (0 points) (a) Give three examples of 4-dimensional vector spaces.

(b) Give one example of an infinite dimensional vector space.

(c) Give an example of a zero-dimensional vector space.

  1. (0 points) Let S 1 and S 2 be subspaces of a vector space V. Prove that the union S 1 ∪ S 2 is a subspace of V if and only if one is contained in the other (that is, either S 1 ⊆ S 2 or S 2 ⊆ S 1 .)

3 Linear Independence, Generating Sets, and Bases

  1. (0 points) Let S = {x^2 + 3x, x − 2 } be a subset of P 2 (R). (a) Explain why S is not a basis of P 2 (R).

(b) Is 13 x^2 + 2 in span(S)? Explain.

(c) Is 2x^2 + 5x + 4 in span(S)? Explain.

1

  1. (0 points) Consider the 3 vectors in R^3 given by v 1 = (1, 1 , −1), v 2 = (1, 1 , 1), and v 3 = (3, 5 , 7). Decide whether these 3 vectors provide a basis for R^3. Justify your answer.
  2. (0 points) Let W be the subspace of R^3 given by

W = {(x, y, z) | x + y + z = 0 and x − y − z = 0}.

Find a basis for W and the dimension of W.

  1. (0 points) Let S = {v 1 , v 2 ,... , vn} be a set of n vectors in a vector space V. Show that if S is linearly independent and the dimension of V is n, then S is a basis of V.
  2. (0 points) Consider the subset S = {x^3 − 2 x^2 + 1, 4 x^2 − x + 3, 3 x − 2 } of P 3 (R). (a) Explain how you know that S does not generate P 3 (R).

(b) Can you add a vector v to S so that S ∪ {v} is a basis of P 3 (R)? Justify and find such a vector if possible.

  1. (0 points) Let V be a vector space over R, and let x, y, z ∈ V. Prove that {x, y, z} is linearly independent if and only if {x + y, y + z, z + x} is linearly independent.
  2. (0 points) Let S 1 and S 2 be subsets of a vector space V over a field F. Prove that

span(S 1 ∩ S 2 ) ⊆ span(S 1 ) ∩ span(S 2 ).

  1. (0 points) Consider the vector space V = P 1 (R). (a) Explain why you know that the set β = {1 + x, 1 − 2 x} is a basis of V.

(b) Express p(x) = 2x − 3 as a linear combination of β.