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Section III. Basis and Dimension 123<br />

2.17 Find the dimension of the vector space of matrices<br />

� �<br />

a b<br />

c d<br />

subject to each condition.<br />

(a) a, b, c, d ∈ R<br />

(b) a − b +2c =0andd ∈ R<br />

(c) a + b + c =0,a + b − c =0,andd ∈ R<br />

� 2.18 Find the dimension of each.<br />

(a) The space of cubic polynomials p(x) such that p(7) = 0<br />

(b) The space of cubic polynomials p(x) such that p(7) = 0 and p(5) = 0<br />

(c) The space of cubic polynomials p(x) such that p(7) = 0, p(5) = 0, and p(3) =<br />

0<br />

(d) The space of cubic polynomials p(x) such that p(7) = 0, p(5) = 0, p(3) = 0,<br />

and p(1) = 0<br />

2.19 What is the dimension of the span of the set {cos 2 θ, sin 2 θ, cos 2θ, sin 2θ}? This<br />

span is a subspace of the space of all real-valued functions of one real variable.<br />

2.20 Find the dimension of C 47 , the vector space of 47-tuples of complex numbers.<br />

2.21 What is the dimension of the vector space M3×5 of 3×5 matrices?<br />

� 2.22 Show that this is a basis for R 4 .<br />

⎛ ⎞ ⎛ ⎞<br />

1 1<br />

⎛ ⎞<br />

1<br />

⎛ ⎞<br />

1<br />

⎜0⎟<br />

⎜1⎟<br />

⎜1⎟<br />

⎜1⎟<br />

〈 ⎝<br />

0<br />

⎠ , ⎝<br />

0<br />

⎠ , ⎝<br />

1<br />

⎠ , ⎝<br />

1<br />

⎠〉<br />

0 0 0 1<br />

(The results of this subsection can be used to simplify this job.)<br />

2.23 Refer to Example 2.9.<br />

(a) Sketch a similar subspace diagram for P2.<br />

(b) Sketch one for M2×2.<br />

� 2.24 Observe that, where S is a set, the functions f : S → R form a vector space<br />

under the natural operations: f + g (s) =f(s)+g(s) andr · f (s) =r · f(s). What<br />

is the dimension of the space resulting for each domain?<br />

(a) S = {1} (b) S = {1, 2} (c) S = {1,... ,n}<br />

2.25 (See Exercise 24.) Prove that this is an infinite-dimensional space: the set of<br />

all functions f : R → R under the natural operations.<br />

2.26 (See Exercise 24.) What is the dimension of the vector space of functions<br />

f : S → R, under the natural operations, where the domain S is the empty set?<br />

2.27 Show that any set of four vectors in R 2 is linearly dependent.<br />

2.28 Show that the set 〈�α1,�α2,�α3〉 ⊂R 3 is a basis if and only if there is no plane<br />

through the origin containing all three vectors.<br />

2.29 (a) Prove that any subspace of a finite dimensional space has a basis.<br />

(b) Prove that any subspace of a finite dimensional space is finite dimensional.<br />

2.30 Where is the finiteness of B used in Theorem 2.3?<br />

� 2.31 Prove that if U and W are both three-dimensional subspaces of R 5 then U ∩W<br />

is non-trivial. Generalize.<br />

2.32 Because a basis for a space is a subset of that space, we are naturally led to<br />

how the property ‘is a basis’ interacts with set operations.<br />

(a) Consider first how bases might be related by ‘subset’. Assume that U, W are

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