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DerivedAlgGeo.AlgebraicGeometry.Stability.Slope.HarderNarasimhan.Splice

Lifting a filtration of a quotient back to the ambient object #

The Harder–Narasimhan recursion removes the maximal destabilizing subobject B ⊆ E, filters the quotient E / B, and splices the two together. This file supplies the lattice-level facts that splice needs, all of them about the subobject correspondence and none of them about slopes.

Nothing here mentions a polarization; it is the correspondence, specialised to what the splice consumes.

The bottom of the quotient pulls back to the subobject itself.

The inclusion of the bottom subobject into any subobject is the zero morphism.

The first successive quotient of a spliced chain is the subobject itself.

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    A strict inclusion of subobjects has a nonzero successive quotient: a zero cokernel would make the inclusion an isomorphism. This is AbelianWeakHNFiltration.factor_not_isZero's argument, stated for a bare pair of subobjects.

    Strict inclusions pull back to strict inclusions.

    Monotonicity is formal; strictness is not. If the pullbacks agreed, the inclusion between them would be an isomorphism and its cokernel zero, but cokernelPullbackIso identifies that cokernel with the successive quotient upstairs, which a strict inclusion makes nonzero.

    noncomputable def AlgebraicGeometry.Stability.Gieseker.cokernelOfLECongr {k : Type u} [Field k] {X : Scheme} [X.Over (Spec (CommRingCat.of k))] [IsVariety k X] {Y : Coh X} {C₁ C₂ C₁' C₂' : CategoryTheory.Subobject Y} (hle : C₁ ≤ C₂) (hle' : C₁' ≤ C₂') (e₁ : C₁ = C₁') (e₂ : C₂ = C₂') :

    Transport of a successive quotient along equalities of its endpoints. The inclusion's proof argument is irrelevant, so the two cokernels agree once the endpoints do.

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      The spliced chain: the bottom subobject, then the pullbacks of a chain in the quotient.

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        The spliced chain is strictly monotone: the first step is ⊥ < B, which needs B nonzero, and every later step is a pullback of a strict step downstairs.

        The spliced chain ends at the top, because the pullback of the top subobject is the top.

        The first factor of a spliced chain is the subobject itself.

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          The first factor of a filtration is its first chain step.

          The opening successive quotient runs out of the bottom subobject, so it is the first chain step itself. This is what turns a statement about the subobjects of a quotient into one about the factors of a filtration of it.

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            The top slope of a filtration of the quotient lies strictly below the maximal slope.

            The first factor is a genuine nonzero subobject of the quotient, so the strict drop applies to it. This is the inequality that makes the spliced slope vector strictly antitone at the splice point, and it is the only place the drop is needed.

            The spliced Harder–Narasimhan filtration.

            Given the maximal destabilizing subobject B ⊆ F and a filtration of F / B, prepend B. The chain is spliceChain, the slope vector is the slope of B followed by the quotient's, and every field is one of the facts above:

            • strict monotonicity is spliceChain_strictMono;
            • strict antitonicity is muZero_lt_topSlope at the splice point and G.μ_anti above it. It is proved directly rather than through the adjacent-step criterion, because that criterion would index by Fin G.n with G.n opaque, which cannot be case-split;
            • the factors are identified by spliceFactorZeroIso and spliceFactorSuccIso, and their slopes and semistability transported along those isomorphisms.
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