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Minimization of hypersurfaces (Q6562847)

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scientific article; zbMATH DE number 7872166
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Minimization of hypersurfaces
scientific article; zbMATH DE number 7872166

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    Minimization of hypersurfaces (English)
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    27 June 2024
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    It is ideal to have an explicit model of an algebraic variety over \(\mathbb Q\) that has small integer coefficients, which is known as reduction. It is also ideal to have a model with small invariants such as the discriminant, known as minimization. The main concern of the paper under review is the hypersurface in \(\mathbb P^n\) defined by a homogeneous polynomial \(F\in \mathbb Z[x_0,\dots, x_n]\) and the minimum \(v_p(F)\) of the \(p\)-adic valuations of the coefficients of \(F\).\N\NFor \(T\in \mathrm{GL}(n+1,\mathbb Q)\), let \({}^T F:=F([x_0,\dots,x_n]T)\). Let \(w=(w_0,\dots,w_n)\) and \(w_k\ge 0\) are integers, and it is called a weight vector. Then, \(F\) is called unstable at \(p\) for \((T,w)\) if \[v_p( {}^T F(p^{w_0}x_0,\dots, p^{w_n}x_n)) > \frac d{n+1}(w_0+\dots+w_n).\] A set \(S\) of weight vectors is called complete if \(F\) is unstable at \(p\) for \((T,w)\) implies \(F\) is unstable at \(p\) for \((T',w')\) where \(w'\in S\), i.e., by choosing a different matrix \(T'\), the weight vector can be chosen from \(S\). Kollar raised the question whether there is always a finite complete set \(S\) of weight vectors. The authors of the paper under review prove that the following is a complete set of weight vectors for homegeneous polynomials of degree \(d\) in \(n+1\) variables: \[\{ [w_0,\dots, w_n]\in\mathbb Z^{n+1} : 0=w_0\le w_1 \le \cdots \le w_n \}, \ w_n\le 2n\, \frac d{\gcd(d,n+1)}\, d^{n-2}.\]\N\NFor the plane curves, they prove that \(\{ [w_0,w_1,w_2] \in \mathbb Z^3 : 0\le w_k \le d\}\) is a complete set of weight vectors, and demonstrate how to perform minimization and reduction for plane curves in full generality.\N\NThe authors introduce an explicit minimization algorithm for cubic surfaces in \(\mathbb P^3\), and discuss reduction for cubic surfaces. However, due to the increasing complexity, the method does not yield a reasonable algorithm for higher degrees in \(\mathbb P^3\) or for higher dimensions.
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    minimization
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    reduction
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    hypersurfaces
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    plane curves
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    cubic surfaces
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