Add Equiv Add Haar Char eq ring Haar Char det of exists List Transvec Etc
MeasureTheory.addEquivAddHaarChar_eq_ringHaarChar_det_of_existsListTransvecEtc
Plain-language statement
Haar measure scaling for invertible linear maps on a finite-dimensional vector space over a field F assuming [SecondCountableTopology F].
Exact Lean statement
theorem addEquivAddHaarChar_eq_ringHaarChar_det_of_existsListTransvecEtc
[SecondCountableTopology F] (ρ : V ≃L[F] V) (n : ℕ) (b : Basis (Fin n) F V)
(hρ : Pivot.ExistsListTransvecMulDiagonalMulListTransvec
(ρ.toLinearMap.toMatrix b b)) :
addEquivAddHaarChar ρ.toContinuousAddEquiv = ringHaarChar ρ.toLinearEquiv.detFormal artifact
Lean source
theorem addEquivAddHaarChar_eq_ringHaarChar_det_of_existsListTransvecEtc [SecondCountableTopology F] (ρ : V ≃L[F] V) (n : ℕ) (b : Basis (Fin n) F V) (hρ : Pivot.ExistsListTransvecMulDiagonalMulListTransvec (ρ.toLinearMap.toMatrix b b)) : addEquivAddHaarChar ρ.toContinuousAddEquiv = ringHaarChar ρ.toLinearEquiv.det := by let ι := Fin n let e : V ≃ₗ[F] ι → F := Basis.equivFun b have he : Continuous e := IsModuleTopology.continuous_of_linearMap e.toLinearMap have he_inv : Continuous e.symm := IsModuleTopology.continuous_of_linearMap e.symm.toLinearMap let ec : V ≃L[F] (ι → F) := ⟨e, he, he_inv⟩ let f := ec.toContinuousAddEquiv let ρ' : (ι → F) ≃ₜ+ (ι → F) := (f.symm.trans (ρ.toContinuousAddEquiv)).trans f have hComm: ∀ x, f (ρ.toContinuousAddEquiv x) = ρ' (f x) := by simp [f, ρ', ContinuousAddEquiv.trans_apply, ContinuousAddEquiv.eq_symm_apply] let h_eq := addEquivAddHaarChar_eq_addEquivAddHaarChar_of_continuousAddEquiv f ρ.toContinuousAddEquiv ρ' hComm have : (ec.toContinuousAddEquiv.symm.trans ρ.toContinuousAddEquiv).trans ec.toContinuousAddEquiv = ((ec.symm.trans ρ).trans ec).toContinuousAddEquiv := rfl have this₂ := addEquivAddHaarChar_eq_ringHaarChar_det_pi (((ec.symm.trans ρ).trans ec)) hρ simp [h_eq, ρ', f, this, this₂]- Project
- Fermat's Last Theorem
- License
- Apache-2.0
- Commit
- 8dd808888295
- Source
- FLT/HaarMeasure/HaarChar/FiniteDimensional.lean:204-225
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