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수학/선형대수학

[선형대수학] 차원 정리 (Dimension Theorem)

xeskin 2020. 8. 20. 17:01
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Thm_ (Dimension Theorem)

Let T:VW be linear. If dim(V)<, then dim(V)=nullity(T)+rank(T).

 

Proof_

Since N(T) is a subspace of V, N(T) is finite-dimensional & dim(N(T))=nullity(T)=kn.

If k=n, then N(T)=V, and so R(T)={0}; thus dim(V)=n=n+0=nullity(T)+rank(T).

Suppose k<n. Let β={v1,,cn} be a basis for N(T).

Since β is linear independent, we can chose vk+1,,cnVN(T) so that β{v1,,vn} is a basis for V.

Note R(T)=span({T(v1),,T(vn)})=span({T(vk+1),,T(vn)})=span(S).

It remains to show that S is linear independent.

Suppose bk+1,,bnF&ni=k+1bivi=0.

By the linearity of T, we have T(ni=k+1bivi)=0, and so ni=k+1biviN(T).

So, c1,,ckF such that ni=k+1bivi=ki=1civi.

That is, (c1)v1++(ck)vk+bk+1vk+1++bnvn=0.

Thus, S is linear independent. We now concolude that rank(T)=nk; that is dim(V)=n=nullity(T)+rank(T).

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