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Linear Algebra

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Section II. Homomorphisms 189<br />

To show that BR spans the rangespace, consider h(�v) ∈ R(h) and write �v<br />

as a linear combination �v = c1 � β1 + ···+ cn � βn of members of BV . This gives<br />

h(�v) =h(c1 � β1+···+cn � βn) =c1h( � β1)+···+ckh( � βk)+ck+1h( � βk+1)+···+cnh( � βn)<br />

and since � β1, ... , � βk are in the nullspace, we have that h(�v) =�0 +···+ �0 +<br />

ck+1h( � βk+1)+···+ cnh( � βn). Thus, h(�v) is a linear combination of members of<br />

BR, andsoBR spans the space. QED<br />

2.14 Example Where h: R 3 → R 4 is<br />

⎛<br />

⎝ x<br />

⎞<br />

y⎠<br />

z<br />

h<br />

⎛ ⎞<br />

x<br />

⎜<br />

↦−→ ⎜0<br />

⎟<br />

⎝y⎠<br />

0<br />

we have that the rangespace and nullspace are<br />

⎛ ⎞<br />

a<br />

⎜<br />

R(h) ={ ⎜0⎟<br />

�<br />

⎟ �<br />

⎝b⎠<br />

a, b ∈ R}<br />

0<br />

and<br />

⎛ ⎞<br />

0<br />

N (h) ={ ⎝0⎠<br />

z<br />

� � z ∈ R}<br />

and so the rank of h is two while the nullity is one.<br />

2.15 Example If t: R → R is the linear transformation x ↦→ −4x, then the<br />

range is R(t) =R 1 , and so the rank of t is one and the nullity is zero.<br />

2.16 Corollary The rank of a linear map is less than or equal to the dimension<br />

of the domain. Equality holds if and only if the nullity of the map is zero.<br />

We know that there an isomorphism exists between two spaces if and only<br />

if their dimensions are equal. Here we see that for a homomorphism to exist,<br />

the dimension of the range must be less than or equal to the dimension of the<br />

domain. For instance, there is no homomorphism from R 2 onto R 3 —there are<br />

many homomorphisms from R 2 into R 3 , but none has a range that is all of<br />

three-space.<br />

The rangespace of a linear map can be of dimension strictly less than the<br />

dimension of the domain (an example is that the derivative transformation on<br />

P3 has a domain of dimension four but a range of dimension three). Thus, under<br />

a homomorphism, linearly independent sets in the domain may map to linearly<br />

dependent sets in the range (for instance, the derivative sends {1,x,x 2 ,x 3 } to<br />

{0, 1, 2x, 3x 2 }). That is, under a homomorphism, independence may be lost. In<br />

contrast, dependence is preserved.<br />

2.17 Lemma Under a linear map, the image of a linearly dependent set is<br />

linearly dependent.<br />

Proof. Suppose that c1�v1 + ··· + cn�vn = �0V , with some ci nonzero. Then,<br />

because h(c1�v1 +···+cn�vn) =c1h(�v1)+···+cnh(�vn) and because h(�0V )=�0W ,<br />

we have that c1h(�v1)+···+ cnh(�vn) =�0W with some nonzero ci. QED

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