Repository navigation
feat(Analysis/Normed/Module): uniform bounds for compact injective families - #44978
ArtificialZeng wants to merge 3 commits into
Conversation
…milies Add a uniform positive lower bound for a compact continuous family of injective linear maps with finite-dimensional source, and a uniform injectivity-preserving operator-norm perturbation radius. Assisted-by: OpenAI Codex
Welcome new contributor!Thank you for contributing to Mathlib! If you haven't done so already, please review our contribution guidelines, as well as the style guide and naming conventions. In particular, we kindly remind contributors that we have guidelines regarding the use of AI when making pull requests. We use a review queue to manage reviews. If your PR does not appear there, it is probably because it is not successfully building (i.e., it doesn't have a green checkmark), has the If you haven't already done so, please come to Zulip and join the Lean community. |
PR summary c9f852f03dImport changes for modified filesNo significant changes to the import graph Import changes for all files
|
|
i have read |
A continuous family of injective continuous linear maps, with finite-dimensional source over a complete nontrivially normed field, has a uniform positive lower bound on a compact parameter set. A second lemma gives a uniform operator-norm perturbation radius preserving injectivity; the perturbing family need not be continuous.
These estimates support compact-family derivative perturbation arguments. The proof uses
LinearMap.exists_antilipschitzWithandIsCompact.induction_on, adds no imports, and does not require the target to be finite-dimensional or complete.Local validation on base
4c71e7e7e5f99e938e520c4242aaf2522a594953, Lean 4.36.0-rc1:lake build Mathlib.Analysis.Normed.Module.FiniteDimensionpassed after refreshing the base's dependency cache.propext,Classical.choice, andQuot.sound.AI disclosure: OpenAI Codex generated and adapted the proofs and performed automated source review and local checks. This draft is pending human review of the mathematics and API choices. Automated checks and AI review do not replace that review. Full upstream CI is still required.