Mistake in Discriminants, Resultants, and Multidimensional Determinants?

93 Views Asked by At

I'm studying this proof in the book cited in the title.

enter image description here enter image description here

The author say that any multiplicative function $\chi\colon\mathsf{GL}(k)\longrightarrow\mathbb{C}^\times$ is a power of the determinant. But what if I take $\chi(g)=\overline{\det g}$? Is this a mistake? If not and I'm missing something where can I find a proof of this fact?

1

There are 1 best solutions below

1
On BEST ANSWER

As noted in the comment above, the author is talking about regular functions in algebraic geometry, which does not include complex conjugation.

Here's a proof that over an algebraically closed field that any multiplicative regular function from $GL_n\to \Bbb G_m$ is a power of the determinant.

First, $GL_n$ is irreducible, since it is an open set in an irreducible variety: $GL_n=D(\det)\subset\Bbb A^{n^2}$. Next, the set of matrices with distinct eigenvalues is dense in $GL_n$, as it is the complement of the vanishing locus of the discriminant of the characteristic polynomial. So it suffices to verify the equality $\chi=\det^d$ on the set of matrices with distinct eigenvalues (=the diagonalizable matrices).

A multiplicative function $\chi: GL_n\to\Bbb G_m$ is constant on similarity classes of matrices, as if $A=SBS^{-1}$, then $$\chi(A)=\chi(SBS^{-1})=\chi(S)\chi(B)\chi(S^{-1})=\chi(S)\chi(S^{-1})\chi(B)=\chi(SS^{-1})\chi(B)=\chi(Id)\chi(B)=\chi(B).$$

So we may reduce from diagonalizable matrices to diagonal matrices. $\chi(Id)=1$, so it's enough to calculate on non-identity diagonal matrices. All of these are a product of matrices which have $n-1$ ones and one non-one element $c$ on the diagonal. So it's enough to see what happens to $diag(c,1,\cdots,1)$. Every function on this matrix is a polynomial in $c$. If it's multiplicative, it must be of the form $c^d$ for some integer $d$. But $c$ is the determinant, and we're done.