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Thursday, November 21, 2024

Zariski Dense Argument in Linear Algebra

1.

Let k be a fixed algebraic closed field and consider the ring Mn,n(k)​.

Remark. For any integral domain R you could consider the algebraic closure of Q(R) and the inclusion.

The notation M refer to the adjugate matrix.

The aim of this blog is to prove that for any matrix M,NMn,n(k), (MN)=NM​ via classic algebraic geometry.

This proof is well-known to those familiar with basic algebraic geometry, it is beautiful and general.

We know that Akn2Mn,n(k) and define a function f:Akn2×Akn2Akn2

(1)(M,N)(MN)NM

which is continuous since it is a polynomial function as well.

Notice that for invertible matrices, we have detM=MMdetMM1=M.

Hence

(2)(MN)=detMN(MN)1=detNN1detMM1=NM.

Thus f|X=0, where X:={(M,N)Akn2×Akn2,detMN0} is an open set with respect to the Zariski topology since detMN=detMdetN is a polynomial function. Notice that Akn2×Akn2Ak2n2=V(0) is an irreducible space, hence X is dense. Now we know that 0 is closed and Xf1(0) is a closed set as well, X is dense implies that

(3)f1(0)=Akn2×Akn2

2.

We could use Zariski Dense argument to prove Cayley–Hamilton theorem for integral domain as well.

First, let's consider the affine space Akn2 corresponding to Mn,n(k), where k is an algebraically closed field.

Note that this space is irreducible because Akn2=V(0) and (0) is a prime ideal, thus all non-empty open sets are dense (here we are considering the Zariski Topology).

Consider f:Akn2Akn2, ApA(A), note that diagonalizable matrices are contained in f1(0).

And diagonalizable matrices with n distinct eigenvalues is equivalent to requiring the characteristic polynomial to be separable, that is, the discriminant is not 0. This means matrices with n distinct eigenvalues form an open set U, thus dense.

Therefore Uf1(0), and since 0 is closed, this implies f1(0) is closed, and since U is dense, we have f1(0)=Akn2.

However, from here we can generalize this to work for any ring because you can first consider the fraction field of the ring and then embed Rn2 into Akn2.

 

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