D Lp Norm conjneg
MeasureTheory.dLpNorm_conjneg
Plain-language statement
The discrete normalized norm is unchanged by conjugating a function and reflecting its argument: .
Exact Lean statement
@[simp] lemma dLpNorm_conjneg [RCLike E] (f : G → E) : ‖conjneg f‖_[p] = ‖f‖_[p]
Formal artifact
Lean source
@[simp] lemma dLpNorm_conjneg [RCLike E] (f : G → E) : ‖conjneg f‖_[p] = ‖f‖_[p] := by cases nonempty_fintype G simp only [conjneg, dLpNorm_conj] obtain p | p := p · simp only [dLinftyNorm_eq_iSup_norm, ENNReal.none_eq_top] exact (Equiv.neg _).iSup_congr fun _ ↦ rfl obtain rfl | hp := eq_or_ne p 0 · simp only [dLpNorm_exponent_zero, ENNReal.some_eq_coe, ENNReal.coe_zero] · simp only [dLpNorm_eq_sum_norm hp, ENNReal.some_eq_coe] congr 1 exact Fintype.sum_equiv (Equiv.neg _) _ _ fun _ ↦ rfl- Project
- Arithmetic Progressions Almost Periodicity
- License
- Apache-2.0
- Commit
- afafc42a5326
- Source
- APAP/Prereqs/LpNorm/Discrete/Basic.lean:100-110
Reuse this declaration
Bring the exact result into your workflow
The import identifies the source module. Your project still needs the pinned package dependency shown on this page.
What this badge means
This completion status comes from the project or community source. It has not yet been represented here as an independent rebuild and axiom audit.
Continue in this project
Related declarations
Add Dissociated boring Energy le
AddDissociated.boringEnergy_le
Project documentation
If a finite set is additively dissociated, then its order- additive energy is at most , where is the project's Chang constant. This is the quantitative dissociated-set estimate used in the proof of Chang's lemma.
Source project: Arithmetic Progressions Almost Periodicity
Person-level attribution pending.
Linfty almost periodicity
AlmostPeriodicity.linfty_almost_periodicity
Project documentation
An almost-periodicity theorem. Under the small-growth hypothesis , and for nonempty finite sets , there is a set of translations with . Every changes the normalized convolution by at most in .
Source project: Arithmetic Progressions Almost Periodicity
Person-level attribution pending.
Linfty almost periodicity boosted
AlmostPeriodicity.linfty_almost_periodicity_boosted
Plain-language statement
A boosted almost-periodicity estimate. Under , it finds a large set , with the stated lower bound , such that averaging the target convolution against the -fold convolution of changes it by at most in .
Source project: Arithmetic Progressions Almost Periodicity
Person-level attribution pending.