openAI-math-dataset / lean /OAI /Geometry /Borsuk /Support /MixedHomotopy.lean
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Add lean source and binary files (part 66)
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import Mathlib
import OAI.Geometry.Borsuk.MatrixGeometry.FibreContinuity
import OAI.Geometry.Borsuk.Support.PurityChart
import OAI.Geometry.Borsuk.MatrixGeometry.BlockVector
namespace OAI
namespace BorsukNine
open scoped RealInnerProductSpace MatrixOrder Matrix.Norms.L2Operator
open Set
section MixedHomotopy
variable {ν ι : Type*} [Fintype ν] [DecidableEq ν] [Nonempty ν] [Fintype ι] [DecidableEq ι]
local notation "E" => EuclideanSpace ℝ ν
local notation "M" => Matrix ν ν ℝ
local notation "Y" => EuclideanSpace ℝ ι
local notation "op" => Matrix.toEuclideanCLM (n := ν) (𝕜 := ℝ)
omit [DecidableEq ν] [Nonempty ν] [DecidableEq ι] in
lemma Admissible.cone_unit_positive {f : E → ι → ℝ} (_hf : Admissible f)
{I : Finset ι} {u : E} (hu : ‖u‖ = 1) (hc : u ∈ commonPositiveCone f I) :
∀ i ∈ I, 0 < f u i := by
intro i hi
simpa only [homogeneousLift_unit f hu] using hc i hi
omit [DecidableEq ν] [Nonempty ν] [DecidableEq ι] in
lemma Admissible.maximal_cone_zero {f : E → ι → ℝ} (hf : Admissible f) {I : Finset ι}
(hmax : ∀ u : E, ‖u‖ = 1 → I ⊆ positiveSupport f u → positiveSupport f u = I)
{u : E} (hu : ‖u‖ = 1) (hc : u ∈ commonPositiveCone f I) :
∀ i ∉ I, f u i = 0 := by
have he : positiveSupport f u = I := hmax u hu (fun i hi =>
(mem_positiveSupport f u i).mpr (hf.cone_unit_positive hu hc i hi))
intro i hi
apply le_antisymm _ (hf.nonneg u hu i)
by_contra hp
have hh := (mem_positiveSupport f u i).mpr (lt_of_not_ge hp)
rw [he] at hh
exact hi hh
omit [Nonempty ν] in
lemma traceSphere_weights {A : M} (hA : A ∈ traceSphere ν) :
Matrix.trace A⁺ + Matrix.trace A⁻ = 1 := by
rw [← Matrix.trace_add,CFC.posPart_add_negPart A hA.1]; exact hA.2
noncomputable def mixedHomotopy (f : E → ι → ℝ) (I : Finset ι) (w c : E)
(g : M → EuclideanSpace ℝ ↥(Iᶜ : Finset ι)) (t : ℝ) (A : M) : Y :=
blockVector I (Matrix.trace A⁺) (f (lineRepresentative w A)) (Matrix.trace A⁻)
(fibreHomotopy f I c g t (lineRepresentative w A) (negativeFibre A))
lemma Admissible.mixedHomotopy_zero {f : E → ι → ℝ} (hf : Admissible f) {I : Finset ι}
(hmax : ∀ u : E, ‖u‖ = 1 → I ⊆ positiveSupport f u → positiveSupport f u = I)
{w c : E} (g : M → EuclideanSpace ℝ ↥(Iᶜ : Finset ι)) {A : M}
(hSA : IsSelfAdjoint A) (hA : A ∈ purityChart f I w c) :
mixedHomotopy f I w c g 0 A = WithLp.toLp 2 (signedExtension f A) := by
have hu := purityChart_unit hA
have hQ := purityChart_fibre hA
have hl := hasPositiveLine_trace_pos hA.2.1
have hm := hA.2.2.2.1
have hs := (hf.signedExtension_splitting hSA hu hl (positive_line_representative hA.2.1 hA.2.2.1)).2.2
have hneg : positiveExtension f A⁻ = Matrix.trace A⁻ • positiveExtension f (negativeFibre A) := by
calc
positiveExtension f A⁻ = positiveExtension f (Matrix.trace A⁻ • negativeFibre A) :=
congrArg (positiveExtension f) (negativeFibre_smul (ne_of_gt hm)).symm
_ = _ := positiveExtension_smul_nonneg f hQ.1 hm.le
have hpos := hf.cone_unit_positive hu hA.2.2.2.2.1
have hzero := hf.maximal_cone_zero hmax hu hA.2.2.2.2.1
have hsafe := hf.commonPositiveCone_safe I hA.2.2.2.2.1
apply PiLp.ext
intro i
change blockVector I (Matrix.trace A⁺) (f (lineRepresentative w A)) (Matrix.trace A⁻)
(fibreHomotopy f I c g 0 (lineRepresentative w A) (negativeFibre A)) i = signedExtension f A i
rw [fibreHomotopy_zero f I c g hu,hs,hneg]
by_cases hi : i ∈ I
· rw [blockVector_in _ _ _ _ _ hi]
have hz := hf.positiveExtension_safe_zero hsafe hQ.1 hQ.2.2 hi
simp only [Pi.sub_apply,Pi.smul_apply,smul_eq_mul,hz,mul_zero,sub_zero]
· let j : ↥(Iᶜ : Finset ι) := ⟨i,Finset.mem_compl.mpr hi⟩
have hj := blockVector_out I (Matrix.trace A⁺) (f (lineRepresentative w A)) (Matrix.trace A⁻)
(negativeCoordinates f I (negativeFibre A)) j
rw [hj]
simp only [Pi.sub_apply,Pi.smul_apply,smul_eq_mul,hzero i hi,mul_zero,zero_sub]
exact neg_mul _ _
omit [Nonempty ν] in
lemma Admissible.mixedHomotopy_nonzero {f : E → ι → ℝ} (hf : Admissible f) {I : Finset ι}
(hI : I.Nonempty) {w c : E} (g : M → EuclideanSpace ℝ ↥(Iᶜ : Finset ι))
(t : ℝ) {A : M} (hA : A ∈ purityChart f I w c) : mixedHomotopy f I w c g t A ≠ 0 :=
blockVector_nonzero hI (hasPositiveLine_trace_pos hA.2.1)
(hf.cone_unit_positive (purityChart_unit hA) hA.2.2.2.2.1) _
lemma Admissible.mixedHomotopy_continuousOn {f : E → ι → ℝ} (hf : Admissible f)
{I : Finset ι} (hI : I.Nonempty) {w c : E} (hc : c ∈ commonPositiveCone f I) (hcn : ‖c‖ = 1)
(g : M → EuclideanSpace ℝ ↥(Iᶜ : Finset ι)) (hg : Continuous g) :
ContinuousOn (fun p : ℝ × traceSphere ν => mixedHomotopy f I w c g p.1 p.2.val)
(Icc (0:ℝ) 1 ×ˢ {A : traceSphere ν | A.val ∈ purityChart f I w c}) := by
let S : Set (ℝ × traceSphere ν) := Icc (0:ℝ) 1 ×ˢ {A : traceSphere ν | A.val ∈ purityChart f I w c}
have hA : Continuous (fun p : ℝ × traceSphere ν => p.2.val) := continuous_subtype_val.comp continuous_snd
have hSA : ∀ p : ℝ × traceSphere ν, IsSelfAdjoint p.2.val := fun p => p.2.property.1
have hu : ContinuousOn (fun p : ℝ × traceSphere ν => lineRepresentative w p.2.val) S :=
(lineRepresentative_continuousOn _ hA hSA w).mono (fun p hp => hp.2.2.2.1)
have hQ : ContinuousOn (fun p : ℝ × traceSphere ν => negativeFibre p.2.val) S :=
(negativeFibre_continuousOn _ hA hSA).mono (fun p hp => ne_of_gt hp.2.2.2.2.1)
have htuple : ContinuousOn (fun p : ℝ × traceSphere ν =>
(p.1,lineRepresentative w p.2.val,negativeFibre p.2.val)) S :=
continuous_fst.continuousOn.prodMk (hu.prodMk hQ)
have hF : ContinuousOn (fun p : ℝ × traceSphere ν =>
fibreHomotopy f I c g p.1 (lineRepresentative w p.2.val) (negativeFibre p.2.val)) S :=
ContinuousOn.comp' (g := fun p : ℝ × E × M => fibreHomotopy f I c g p.1 p.2.1 p.2.2)
(f := fun p : ℝ × traceSphere ν => (p.1,lineRepresentative w p.2.val,negativeFibre p.2.val))
(hf.fibreHomotopy_continuousOn hI hc hcn g hg) htuple
(fun p hp => ⟨hp.1,purityChart_unit hp.2,interior_subset hp.2.2.2.2.2.2,purityChart_fibre hp.2⟩)
have hl : Continuous (fun p : ℝ × traceSphere ν => Matrix.trace p.2.val⁺) :=
matrix_trace_continuous.comp (matrix_posPart_continuousOn.comp_continuous hA hSA)
have hm : Continuous (fun p : ℝ × traceSphere ν => Matrix.trace p.2.val⁻) :=
matrix_trace_continuous.comp (matrix_negPart_continuousOn.comp_continuous hA hSA)
have hfC : Continuous f := continuous_pi (fun i => (hf.smooth i).continuous)
exact blockVector_continuousOn I hl.continuousOn (hfC.comp_continuousOn hu) hm.continuousOn hF
end MixedHomotopy
end BorsukNine
end OAI