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Section I. Definition of Vector Space 85<br />

1.9 Example The set {f � � f : N → R} of all real-valued functions of one natural<br />

number variable is a vector space under the operations<br />

(f1 + f2)(n) =f1(n)+f2(n) (r · f)(n) =rf(n)<br />

so that if, for example, f1(n) =n 2 +2sin(n) andf2(n) =− sin(n) +0.5 then<br />

(f1 +2f2)(n) =n 2 +1.<br />

We can view this space as a generalization of Example 1.3 by thinking of<br />

these functions as “the same” as infinitely-tall vectors:<br />

n f(n) =n 2 +1<br />

0 1<br />

1 2<br />

2 5<br />

3 10<br />

.<br />

.<br />

corresponds to<br />

⎛ ⎞<br />

1<br />

⎜ 2 ⎟<br />

⎜ 5 ⎟<br />

⎜<br />

⎝<br />

10⎟<br />

⎠<br />

.<br />

with addition and scalar multiplication are component-wise, as before. (The<br />

“infinitely-tall” vector can be formalized as an infinite sequence, or just as a<br />

function from N to R, in which case the above correspondence is an equality.)<br />

1.10 Example The set of polynomials with real coefficients<br />

{a0 + a1x + ···+ anx n � � n ∈ N and a0,... ,an ∈ R}<br />

makes a vector space when given the natural ‘+’<br />

(a0 + a1x + ···+ anx n )+(b0 + b1x + ···+ bnx n )<br />

and ‘·’.<br />

=(a0 + b0)+(a1 + b1)x + ···+(an + bn)x n<br />

r · (a0 + a1x + ...anx n )=(ra0)+(ra1)x + ...(ran)x n<br />

This space differs from the space P3 of Example 1.8. This space contains not just<br />

degree three polynomials, but degree thirty polynomials and degree three hundred<br />

polynomials, too. Each individual polynomial of course is of a finite degree,<br />

but the set has no single bound on the degree of all of its members.<br />

This example, like the prior one, can be thought of in terms of infinite-tuples.<br />

For instance, we can think of 1 + 3x +5x 2 as corresponding to (1, 3, 5, 0, 0,...).<br />

However, don’t confuse this space with the one from Example 1.9. Each member<br />

of this set has a bounded degree, so under our correspondence there are no<br />

elements from this space matching (1, 2, 5, 10, ...). The vectors in this space<br />

correspond to infinite-tuples that end in zeroes.<br />

1.11 Example The set {f � � f : R → R} of all real-valued functions of one real<br />

variable is a vector space under these.<br />

(f1 + f2)(x) =f1(x)+f2(x) (r · f)(x) =rf(x)<br />

The difference between this and Example 1.9 is the domain of the functions.

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