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296 Kernel, Range, Nullity, Rank<br />

Theorem 16.2.5 (Dimension Formula). Let L: V → W be a <strong>linear</strong> transformation,<br />

with V a finite-dimensional vector space 1 . Then:<br />

Proof. Pick a basis for V :<br />

dim V = dim ker V + dim L(V )<br />

= null L + rank L.<br />

{v 1 , . . . , v p , u 1 , . . . , u q },<br />

where v 1 , . . . , v p is also a basis for ker L. This can always be done, for example,<br />

by finding a basis for the kernel of L and then extending to a basis for V .<br />

Then p = null L and p + q = dim V . Then we need to show that q = rank L.<br />

To accomplish this, we show that {L(u 1 ), . . . , L(u q )} is a basis for L(V ).<br />

To see that {L(u 1 ), . . . , L(u q )} spans L(V ), consider any vector w in L(V ).<br />

Then we can find constants c i , d j such that:<br />

w = L(c 1 v 1 + · · · + c p v p + d 1 u 1 + · · · + d q u q )<br />

= c 1 L(v 1 ) + · · · + c p L(v p ) + d 1 L(u 1 ) + · · · + d q L(u q )<br />

= d 1 L(u 1 ) + · · · + d q L(u q ) since L(v i ) = 0,<br />

⇒ L(V ) = span{L(u 1 ), . . . , L(u q )}.<br />

Now we show that {L(u 1 ), . . . , L(u q )} is <strong>linear</strong>ly independent. We argue<br />

by contradiction. Suppose there exist constants d j (not all zero) such that<br />

0 = d 1 L(u 1 ) + · · · + d q L(u q )<br />

= L(d 1 u 1 + · · · + d q u q ).<br />

But since the u j are <strong>linear</strong>ly independent, then d 1 u 1 + · · · + d q u q ≠ 0, and<br />

so d 1 u 1 + · · · + d q u q is in the kernel of L. But then d 1 u 1 + · · · + d q u q must<br />

be in the span of {v 1 , . . . , v p }, since this was a basis for the kernel. This<br />

contradicts the assumption that {v 1 , . . . , v p , u 1 , . . . , u q } was a basis for V , so<br />

we are done.<br />

1 The formula still makes sense for infinite dimensional vector spaces, such as the space<br />

of all polynomials, but the notion of a basis for an infinite dimensional space is more<br />

sticky than in the finite-dimensional case. Furthermore, the dimension formula for infinite<br />

dimensional vector spaces isn’t useful for computing the rank of a <strong>linear</strong> transformation,<br />

since an equation like ∞ = ∞ + x cannot be solved for x. As such, the proof presented<br />

assumes a finite basis for V .<br />

296

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