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University of Paderborn Department of Mathematics Diploma Thesis ...

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124 CHAPTER 4. ALGORITHMS FOR STABLE IDEALSThe ideal L k is the unique lexicographic ideal associated to the Hilbert polynomial p k (z) :=13 z3 + 5 2 z2 + 7 z + (k − 1), k = 3, 4, 5, 6, since we have6p R/L3 (z) = 1 3 z3 + 5 2 z2 + 7 6 z + 2,p R/L4 (z) = 1 3 z3 + 5 2 z2 + 7 6 z + 3,p R/L5 (z) = 1 3 z3 + 5 2 z2 + 7 6 z + 4,p R/L6 (z) = 1 3 z3 + 5 2 z2 + 7 6 z + 5.Again, L j+1 is obtained from L j , j = 3, 4, 5, by the expansion <strong>of</strong> the last monomial generator<strong>of</strong> L j . As above, we sum up the results in a table:number <strong>of</strong> saturated number <strong>of</strong> doublestable ideals saturationsk = 3 23 3k = 4 51 3k = 5 106 3k = 6 212 3The first interesting observation is that the number <strong>of</strong> all saturated stable ideals grows fastif one slightly increases the exponent <strong>of</strong> the last variable <strong>of</strong> the last monomial generator inthe lexicographic ideal considered. Hence, it is quite easy to find concrete examples, wherethe number <strong>of</strong> all saturated stable ideals to a given Hilbert polynomial is too large to becomputed within a few minutes or even within a few hours on a usual computer. Thisseems to be clear if one increases the number <strong>of</strong> variables <strong>of</strong> the polynomial ring and thedegree <strong>of</strong> the Hilbert polynomial considered, but the above examples suggest that we donot necessarily have to use a large number <strong>of</strong> variables and a Hilbert polynomial <strong>of</strong> highdegree – even for linear Hilbert polynomials or Hilbert polynomials <strong>of</strong> degree 3, there maybe a large number <strong>of</strong> saturated stable ideals to a given Hilbert polynomial.A rather informal explanation <strong>of</strong> this phenomenon may be found if we have a closer look athow Algorithm 3.45 computes all saturated stable ideals to a given Hilbert polynomial. Themost important “algorithmic tool” within the procedure is the performance <strong>of</strong> expansionsand contractions <strong>of</strong> monomials. In Chapter 3, we saw that we only have to contract thosemonomials, which contain last variable x 3 respectively x 4 . Since, among other computationalsteps, the main part <strong>of</strong> Algorithm 3.45 is to compute all possible contractions andexpansions in a certain ideal such that one obtains saturated stable ideals with the sameHilbert polynomial, it becomes obvious that the number <strong>of</strong> all such possible expansionsand contractions strongly depends on the exponent <strong>of</strong> x 3 respectively x 4 in the monomialgenerators <strong>of</strong> the ideal considered. If we start with a saturated stable ideal, which has only

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