2010
DOI: 10.1007/s00031-010-9089-2
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Affine $ \mathbb{T} $ -varieties of complexity one and locally nilpotent derivations

Abstract: Let X = Spec A be a normal affine variety over an algebraically closed field k of characteristic 0 endowed with an effective action of a torus T of dimension n. Let also ∂ be a homogeneous locally nilpotent derivation on the normal affine Z n -graded domain A, so that ∂ generates a k + -action on X that is normalized by the T-action.We provide a complete classification of pairs (X, ∂) in two cases: for toric varieties (n = dim X) and in the case where n = dim X − 1. This generalizes previously known results fo… Show more

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Cited by 60 publications
(96 citation statements)
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“…Assume that a finitely generated domain A is graded by a lattice M. If A admits a nonzero locally nilpotent derivation, then it admits a homogeneous one [21,Lemma 1.10]. So in order to prove that A is rigid it suffices to check that A admits no nonzero homogeneous locally nilpotent derivation.…”
Section: Proof Of Theoremmentioning
confidence: 99%
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“…Assume that a finitely generated domain A is graded by a lattice M. If A admits a nonzero locally nilpotent derivation, then it admits a homogeneous one [21,Lemma 1.10]. So in order to prove that A is rigid it suffices to check that A admits no nonzero homogeneous locally nilpotent derivation.…”
Section: Proof Of Theoremmentioning
confidence: 99%
“…A description of homogeneous locally nilpotent derivations of horizontal type for an affine T -variety X of complexity one in terms of the combinatorial data (Y, D) is given in [21], see also [5,Section 1.4]. To represent such a derivation, as a first step one needs to fix a vertex v z for every coefficient ∆ z of the polyhedral divisor D in such a way that all but two of these vertices are in N, see [5, Definition 1.8(iii)].…”
Section: Proof Of Theoremmentioning
confidence: 99%
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“…В частности, это выполняется для многообразий всех трех видов из теоремы 0.2 (для первых двух из них см. также [20], [21; 3.16] и [22]). С другой стороны, если X гибко, то инвариант ML(X) тривиален.…”
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