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Linear Algebra, 2020a

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Section I. Definition of Vector Space 105<br />

̌ 2.30 Decide if each is a subspace of the vector space of real-valued functions of one<br />

real variable.<br />

(a) The even functions {f: R → R | f(−x) =f(x) for all x}. For example, two members<br />

of this set are f 1 (x) =x 2 and f 2 (x) =cos(x).<br />

(b) The odd functions {f: R → R | f(−x) =−f(x) for all x}. Two members are<br />

f 3 (x) =x 3 and f 4 (x) =sin(x).<br />

2.31 Example 2.16 says that for any vector ⃗v that is an element of a vector space V,<br />

the set {r · ⃗v | r ∈ R} is a subspace of V. (This is simply the span of the singleton<br />

set {⃗v}.) Must any such subspace be a proper subspace?<br />

2.32 An example following the definition of a vector space shows that the solution<br />

set of a homogeneous linear system is a vector space. In the terminology of this<br />

subsection, it is a subspace of R n where the system has n variables. What about<br />

a non-homogeneous linear system; do its solutions form a subspace (under the<br />

inherited operations)?<br />

2.33 [Cleary] Give an example of each or explain why it would be impossible to do<br />

so.<br />

(a) A nonempty subset of M 2×2 that is not a subspace.<br />

(b) A set of two vectors in R 2 that does not span the space.<br />

2.34 Example 2.19 shows that R 3 has infinitely many subspaces. Does every nontrivial<br />

space have infinitely many subspaces?<br />

2.35 Finish the proof of Lemma 2.9.<br />

2.36 Show that each vector space has only one trivial subspace.<br />

2.37 Show that for any subset S of a vector space, the span of the span equals the<br />

span [[S]] = [S]. (Hint. Members of [S] are linear combinations of members of S.<br />

Members of [[S]] are linear combinations of linear combinations of members of S.)<br />

2.38 All of the subspaces that we’ve seen in some way use zero in their description.<br />

For example, the subspace in Example 2.3 consists of all the vectors from R 2 with<br />

a second component of zero. In contrast, the collection of vectors from R 2 with a<br />

second component of one does not form a subspace (it is not closed under scalar<br />

multiplication). Another example is Example 2.2, where the condition on the<br />

vectors is that the three components add to zero. If the condition there were that<br />

the three components add to one then it would not be a subspace (again, it would<br />

fail to be closed). However, a reliance on zero is not strictly necessary. Consider<br />

the set<br />

⎛ ⎞<br />

x<br />

{ ⎝y⎠ | x + y + z = 1}<br />

z<br />

under these operations.<br />

⎛ ⎛ ⎛ ⎞ ⎛ ⎞ ⎛ ⎞<br />

x 1 + x 2 − 1 x rx − r + 1<br />

⎞ ⎞<br />

x 1 x 2<br />

⎝y 1<br />

⎠ + ⎝y 2<br />

⎠ = ⎝<br />

z 1 z 2<br />

y 1 + y 2<br />

z 1 + z 2<br />

⎠<br />

r ⎝ ⎠ = ⎝<br />

(a) Show that it is not a subspace of R 3 .(Hint. See Example 2.7).<br />

(b) Show that it is a vector space. Note that by the prior item, Lemma 2.9 can<br />

not apply.<br />

y<br />

z<br />

ry<br />

rz<br />

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