Multiple Structures with Arbitrarily Large Projective Dimension on Linear Subspaces
Craig Huneke, Paolo Mantero, Jason McCullough, Alexandra Seceleanu

TL;DR
The paper demonstrates that in algebraic geometry, there is no finite way to characterize multiple structures on linear subspaces with only Serre's (S_1) property, by constructing ideals with arbitrarily large projective dimension.
Contribution
It shows the impossibility of finite characterization of such structures under minimal assumptions, contrasting with previous results for Cohen-Macaulay cases.
Findings
Constructs ideals with arbitrary large projective dimension
Shows no finite classification exists under Serre's (S_1) property
Contrasts with known classifications for Cohen-Macaulay structures
Abstract
Let be an algebraically closed field. There has been much interest in characterizing multiple structures in defined on a linear subspace of small codimension under additional assumptions (e.g. Cohen-Macaulay). We show that no such finite characterization of multiple structures is possible if one only assumes Serre's property holds. Specifically, we prove that for any positive integers with and there is a homogeneous ideal in a polynomial ring over such that (1) the height of is , (2) the Hilbert-Samuel multiplicity of is , (3) the projective dimension of is at least and (4) the ideal is primary to a linear prime . This result is in stark contrast to Manolache's characterization of Cohen-Macaulay multiple structures in codimension 2 and multiplicity at most 4 and also to…
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Taxonomy
TopicsCommutative Algebra and Its Applications · Algebraic Geometry and Number Theory · Advanced Differential Equations and Dynamical Systems
