lemmaroutineinferred_dep
Random binary subspaces are generic
Random binary -dim subspaces of are generic as
shows generic subspaces exist for the gadget construction
Lemma·
lem:latent-generic·§3.2 Generic spaces of charactersStatement (paper)
For each fixed , a uniformly random binary -dimensional subspace
of is generic with probability tending to one as .
In plain English
For each fixed , a uniformly random binary -dimensional subspace of is generic (in the sense of Definition 3.5) with probability tending to one as .
Why it's here
This shows generic subspaces exist for large , so the later constructions can fix one. The proof models the random subspace as the image of a random matrix , reduces the alignment condition to column-span membership, and then uses a polynomial zero bound with a union bound over finitely many evaluation sets to show both conditions of genericity hold with high probability.
Classified routine:
The proof is a standard probabilistic argument: the subspace is modelled as the image of a random matrix, and the genericity conditions follow from a Schwartz–Zippel-type polynomial zero bound plus a union bound over finitely many evaluation sets.
Uses
Used by
Inside the proof
Sources
PaperOpen
- Section
- §3.2 Generic spaces of characters
- Page
- —
- Label
lem:latent-generic- Line
sections/02-latent.tex:256
Leannot aligned
Phase 2 aligns this node to a Lean declaration.
Friction
- infoinferred_depThe proof verifies the "nonproportionality condition" and "alignment condition", which are the two parts of the definition of a generic subspace.