claimroutineinferred_dep
Collision gain via conditioning on clean sigma-field
Collision event costs a factor on the clean height
yields the direct collision charge of the lemma
Statement (paper)
The quantities and are -measurable, and . Since the row membership is also -measurable, integrating in the row measure gives , with no conditioning on .
In plain English
The clean height and envelope are -measurable, so conditioning on gives . Integrating over the row measure (row membership is also -measurable) yields , with no conditioning on .
Why it's here
Since is fixed by the clean data, the collision event can be bounded by the envelope collision probability from the envelope lemma, which pulls out a factor at a cost of only . Combined with the row-norm bound on from the previous claim, this gives the direct collision charge in the parent lemma.
Classified routine:
Direct consequence of the envelope lemma (lem-fp-envelope): pull the G_b-measurable factor H_x^s out of the conditional expectation, then integrate against the G_b-measurable row measure. This is a standard tower-property and measurability step.
Uses
Used by
Nothing in the paper
Sources
PaperOpen
- Section
- §9.4 Bucket algebra and the collision charge
- Page
- —
- Label
—- Line
sections/fingerprints.tex:577
Leannot aligned
Phase 2 aligns this node to a Lean declaration.
Friction
- infoinferred_depoutline: "Conditioning on clean sigma-field gives collision gain" rests on lem:fp-envelope
- infoinferred_depoutline: "Conditioning on clean sigma-field gives collision gain" rests on claim-lem-fp-direct-2