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Linear Algebra

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Section III. Nilpotence 367<br />

and this chain of nullspaces.<br />

{�0 }⊂P0 ⊂P1 ⊂P2 ⊂P3 = P3 = ···<br />

1.5 Example The transformation π : C 3 → C 3 projecting onto the first two<br />

coordinates<br />

⎛<br />

⎝ c1<br />

⎞<br />

c2⎠<br />

π<br />

⎛<br />

↦−→ ⎝ c1<br />

⎞<br />

c2⎠<br />

0<br />

has C 3 ⊃ R(π) =R(π 2 )=··· and {�0 }⊂N (π) =N (π 2 )=···.<br />

c3<br />

1.6 Example Let t: P2 →P2 be the map c0 + c1x + c2x 2 ↦→ 2c0 + c2x. As the<br />

lemma describes, on iteration the rangespace shrinks<br />

R(t 0 )=P2 R(t) ={a + bx � � a, b ∈ C} R(t 2 )={a � � a ∈ C}<br />

and then stabilizes R(t 2 )=R(t 3 )=···, while the nullspace grows<br />

N (t 0 )={0} N (t) ={cx � � c ∈ C} N (t 2 )={cx + d � � c, d ∈ C}<br />

and then stabilizes N (t 2 )=N (t 3 )=···.<br />

This graph illustrates Lemma 1.3. The horizontal axis gives the power j<br />

of a transformation. The vertical axis gives the dimension of the rangespace<br />

of t j as the distance above zero — and thus also shows the dimension of the<br />

nullspace as the distance below the gray horizontal line, because the two add to<br />

the dimension n of the domain.<br />

n<br />

rank(t j )<br />

0 1 2 j<br />

As sketched, on iteration the rank falls and with it the nullity grows until the<br />

two reach a steady state. This state must be reached by the n-th iterate. The<br />

steady state’s distance above zero is the dimension of the generalized rangespace<br />

and its distance below n is the dimension of the generalized nullspace.<br />

1.7 Definition Let t be a transformation on an n-dimensional space. The<br />

generalized rangespace (or the closure of the rangespace) isR∞(t) =R(t n )The<br />

generalized nullspace (or the closure of the nullspace) isN∞(t) =N (t n ).<br />

n

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