3. Let V denote the vector space of all functions f: R" → R, equipped with addition + : V × V → V defined via (f+g)(x) = f(x) + g(x), x = R", and scalar multiplication : Rx V → V defined via (Af)(x) = \ƒ(x), xER". Now let W= {f: R → R: f(x) = ax + b for some a, b = R}, i.e. the space of all linear functions R" → R. (a) Show that W is a subspace of V. (You may assume that V is a vector space). (b) Find a basis for W. You should prove that it is indeed a basis.

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
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3. Let V denote the vector space of all functions ƒ : R" → R, equipped with addition + : V × V → V defined
f:
via (f+g)(x) = f(x) + g(x), x = R", and scalar multiplication : Rx V → V defined via (A. f)(x) = \f(x),
●
x ER".
Now let W = {f: R" → R: f(x) = ax + b for some a, b ≤ R}, i.e. the space of all linear functions R" → R.
(a) Show that W is a subspace of V. (You may assume that V is a vector space).
(b) Find a basis for W. You should prove that it is indeed a basis.
Transcribed Image Text:3. Let V denote the vector space of all functions ƒ : R" → R, equipped with addition + : V × V → V defined f: via (f+g)(x) = f(x) + g(x), x = R", and scalar multiplication : Rx V → V defined via (A. f)(x) = \f(x), ● x ER". Now let W = {f: R" → R: f(x) = ax + b for some a, b ≤ R}, i.e. the space of all linear functions R" → R. (a) Show that W is a subspace of V. (You may assume that V is a vector space). (b) Find a basis for W. You should prove that it is indeed a basis.
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