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Section II. Homomorphisms 193<br />

2.38 Prove that the image of a span equals the span of the images. That is, where<br />

h: V → W is linear, prove that if S is a subset of V then h([S]) equals [h(S)]. This<br />

generalizes Lemma 2.1 since it shows that if U is any subspace of V then its image<br />

{h(�u) � � �u ∈ U} is a subspace of W , because the span of the set U is U.<br />

� 2.39 (a) Prove that for any linear map h: V → W and any �w ∈ W , the set<br />

h −1 ( �w) has the form<br />

{�v + �n � � �n ∈ N (h)}<br />

for �v ∈ V with h(�v) = �w (if h is not onto then this set may be empty). Such a<br />

set is a coset of N (h) and is denoted �v + N (h).<br />

(b) Consider the map t: R 2 → R 2 � �<br />

given<br />

�<br />

by<br />

�<br />

x t ax + by<br />

↦−→<br />

y cx + dy<br />

for some scalars a, b, c, andd. Provethattis linear.<br />

(c) Conclude from the prior two items that for any linear system of the form<br />

ax + by = e<br />

cx + dy = f<br />

the solution set can be written (the vectors are members of R 2 )<br />

{�p + �h � � �h satisfies the associated homogeneous system}<br />

where �p is a particular solution of that linear system (if there is no particular<br />

solution then the above set is empty).<br />

(d) Show that this map h: R n → R m ⎛ ⎞ ⎛<br />

is linear<br />

⎞<br />

⎜<br />

⎝<br />

x1<br />

.<br />

⎟<br />

⎠ ↦→<br />

⎜<br />

⎝<br />

a1,1x1 + ···+ a1,nxn<br />

xn am,1x1 + ···+ am,nxn<br />

for any scalars a1,1, ... , am,n. Extend the conclusion made in the prior item.<br />

(e) Show that the k-th derivative map is a linear transformation of Pn for each<br />

k. Prove that this map is a linear transformation of that space<br />

f ↦→ dk d<br />

f + ck−1<br />

dxk k−1<br />

d<br />

f + ···+ c1 f + c0f<br />

dxk−1 dx<br />

for any scalars ck, ... , c0. Draw a conclusion as above.<br />

2.40 Prove that for any transformation t: V → V that is rank one, the map given<br />

by composing the operator with itself t ◦ t: V → V satisfies t ◦ t = r · t for some<br />

real number r.<br />

2.41 Show that for any space V of dimension n, thedual space<br />

L(V,R) ={h: V → R � � h is linear}<br />

is isomorphic to R n . It is often denoted V ∗ . Conclude that V ∗ ∼ = V .<br />

2.42 Show that any linear map is the sum of maps of rank one.<br />

2.43 Is ‘is homomorphic to’ an equivalence relation? (Hint: the difficulty is to<br />

decide on an appropriate meaning for the quoted phrase.)<br />

2.44 Show that the rangespaces and nullspaces of powers of linear maps t: V → V<br />

form descending<br />

V ⊇ R(t) ⊇ R(t 2 ) ⊇ ...<br />

and ascending<br />

{�0} ⊆N (t) ⊆ N (t 2 ) ⊆ ...<br />

chains. Also show that if k is such that R(t k ) = R(t k+1 ) then all following<br />

rangespaces are equal: R(t k )=R(t k+1 )=R(t k+2 ) .... Similarly, if N (t k )=<br />

N (t k+1 )thenN (t k )=N (t k+1 )=N (t k+2 )=....<br />

.<br />

⎟<br />

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