import OAI.Geometry.ComplexBundle.GrassmannManifold import OAI.Geometry.ComplexBundle.Kernel namespace OAI noncomputable section /-! Linear incidence equations and their graph-coordinate kernel bundles. -/ section open Module namespace Kaplansky.Incidence variable {E F V : Type*} [AddCommGroup E] [Module ℂ E] [AddCommGroup F] [Module ℂ F] [AddCommGroup V] [Module ℂ V] def restrictQuotient (S : Submodule ℂ E) (U : Submodule ℂ F) : (E →ₗ[ℂ] F) →ₗ[ℂ] (S →ₗ[ℂ] F ⧸ U) where toFun T := U.mkQ.comp (T.comp S.subtype) map_add' _ _ := by ext; rfl map_smul' _ _ := by ext; rfl theorem restrictQuotient_surjective (S : Submodule ℂ E) (U : Submodule ℂ F) : Function.Surjective (restrictQuotient S U) := by obtain ⟨C,hC⟩ := S.exists_isCompl obtain ⟨lift,hlift⟩ := U.mkQ.exists_rightInverse_of_surjective (LinearMap.range_eq_top.mpr U.mkQ_surjective) intro T refine ⟨lift.comp (T.comp (S.projectionOnto C hC)),?_⟩ ext x change U.mkQ (lift (T (S.projectionOnto C hC x.val)))=T x rw [Submodule.projectionOnto_apply_left] exact congrArg (fun L : (F ⧸ U) →ₗ[ℂ] (F ⧸ U) => L (T x)) hlift /-- The q-fold evaluation/restriction/quotient map used by the incidence locus. -/ def tupleRestriction {q : ℕ} (S : Submodule ℂ E) (U : Submodule ℂ F) (ev : V →ₗ[ℂ] (Fin q → E →ₗ[ℂ] F)) : V →ₗ[ℂ] (Fin q → S →ₗ[ℂ] F ⧸ U) where toFun v i := restrictQuotient S U (ev v i) map_add' _ _ := by ext; simp map_smul' _ _ := by ext; simp theorem tupleRestriction_surjective {q : ℕ} (S : Submodule ℂ E) (U : Submodule ℂ F) (ev : V →ₗ[ℂ] (Fin q → E →ₗ[ℂ] F)) (hev : Function.Surjective ev) : Function.Surjective (tupleRestriction S U ev) := by intro T choose L hL using (fun i => restrictQuotient_surjective S U (T i)) obtain ⟨v,hv⟩ := hev L refine ⟨v,?_⟩ funext i change restrictQuotient S U (ev v i)=T i rw [hv,hL] theorem mem_tupleRestriction_ker {q : ℕ} (S : Submodule ℂ E) (U : Submodule ℂ F) (ev : V →ₗ[ℂ] (Fin q → E →ₗ[ℂ] F)) (v : V) : v ∈ LinearMap.ker (tupleRestriction S U ev) ↔ ∀ i, ∀ x ∈ S, ev v i x ∈ U := by change (fun i => U.mkQ.comp ((ev v i).comp S.subtype))=0 ↔ _ constructor · intro h i x hx have he := congrArg (fun T : Fin q → S →ₗ[ℂ] F ⧸ U => T i ⟨x,hx⟩) h exact (Submodule.Quotient.mk_eq_zero U).mp he · intro h funext i apply LinearMap.ext intro x exact (Submodule.Quotient.mk_eq_zero U).mpr (h i x.val x.property) variable [FiniteDimensional ℂ E] [FiniteDimensional ℂ F] theorem incidence_target_finrank (q : ℕ) (S : Submodule ℂ E) (U : Submodule ℂ F) : finrank ℂ (Fin q → S →ₗ[ℂ] F ⧸ U)= q * finrank ℂ S * (finrank ℂ F-finrank ℂ U) := by have hU := U.finrank_quotient_add_finrank have hQ : finrank ℂ (F ⧸ U)=finrank ℂ F-finrank ℂ U := by omega simp [Module.finrank_pi_fintype,Module.finrank_linearMap,hQ, Nat.mul_assoc] /-- Exact rank-nullity for the actual incidence fiber in the parameter space V. -/ theorem incidence_kernel_finrank [FiniteDimensional ℂ V] {q : ℕ} (S : Submodule ℂ E) (U : Submodule ℂ F) (ev : V →ₗ[ℂ] (Fin q → E →ₗ[ℂ] F)) (hev : Function.Surjective ev) : finrank ℂ (LinearMap.ker (tupleRestriction S U ev))= finrank ℂ V-q * finrank ℂ S * (finrank ℂ F-finrank ℂ U) := by have h := (tupleRestriction S U ev).finrank_range_add_finrank_ker rw [LinearMap.range_eq_top.mpr (tupleRestriction_surjective S U ev hev), finrank_top, incidence_target_finrank] at h omega theorem incidence_kernel_real_finrank [FiniteDimensional ℂ V] {q : ℕ} (S : Submodule ℂ E) (U : Submodule ℂ F) (ev : V →ₗ[ℂ] (Fin q → E →ₗ[ℂ] F)) (hev : Function.Surjective ev) : finrank ℝ (LinearMap.ker (tupleRestriction S U ev))= 2*(finrank ℂ V-q * finrank ℂ S * (finrank ℂ F-finrank ℂ U)) := by rw [finrank_real_of_complex,incidence_kernel_finrank S U ev hev] end Kaplansky.Incidence end section open scoped ContDiff namespace Kaplansky.Incidence variable {s k t l : ℕ} open ComplexGrassmann /-- The quotient coordinate of a graph t-plane, (u,v) ↦ v-bu. -/ def graphQuotient (b : GraphSlope t l) : GraphAmbient t l →L[ℂ] GraphVertical l := ContinuousLinearMap.snd ℂ _ _ - b.comp (ContinuousLinearMap.fst ℂ _ _) @[simp] theorem graphQuotient_apply (b : GraphSlope t l) (v : GraphAmbient t l) : graphQuotient b v=v.2-b v.1 := rfl theorem graphQuotient_zero_iff (b : GraphSlope t l) (v : GraphAmbient t l) : graphQuotient b v=0 ↔ v ∈ b.toLinearMap.graph := sub_eq_zero theorem graphQuotient_surjective (b : GraphSlope t l) : Function.Surjective (graphQuotient b) := by intro w exact ⟨(0,w),by simp⟩ def graphRestriction (a : GraphSlope s k) (b : GraphSlope t l) : (GraphAmbient s k →L[ℂ] GraphAmbient t l) →L[ℂ] (GraphHorizontal s →L[ℂ] GraphVertical l) := ((ContinuousLinearMap.compL ℂ (GraphHorizontal s) (GraphAmbient t l) (GraphVertical l)) (graphQuotient b)).comp ((ContinuousLinearMap.compL ℂ (GraphHorizontal s) (GraphAmbient s k) (GraphAmbient t l)).flip (graphInclusion a)) @[simp] theorem graphRestriction_apply (a : GraphSlope s k) (b : GraphSlope t l) (T : GraphAmbient s k →L[ℂ] GraphAmbient t l) (v : GraphHorizontal s) : graphRestriction a b T v=graphQuotient b (T (v,a v)) := by simp [graphRestriction] /-- The zero equation for these smooth coordinates is exactly preservation of S into U, with S and U the actual graph subspaces. -/ theorem graphRestriction_zero_iff (a : GraphSlope s k) (b : GraphSlope t l) (T : GraphAmbient s k →L[ℂ] GraphAmbient t l) : graphRestriction a b T=0 ↔ ∀ v ∈ a.toLinearMap.graph, T v ∈ b.toLinearMap.graph := by constructor · intro h v hv have he := congrArg (fun Q : GraphHorizontal s →L[ℂ] GraphVertical l => Q v.1) h have hv' : v.2=a v.1 := hv have hvv : (v.1,a v.1)=v := Prod.ext rfl hv'.symm rw [graphRestriction_apply,hvv] at he exact (graphQuotient_zero_iff b (T v)).mp he · intro h apply ContinuousLinearMap.ext intro v simpa only [graphRestriction_apply,zero_apply] using (graphQuotient_zero_iff b (T (v,a v))).mpr (h _ rfl) /-- A concrete right inverse: place the requested quotient map in the lower left block and set all other blocks to zero. -/ theorem graphRestriction_surjective (a : GraphSlope s k) (b : GraphSlope t l) : Function.Surjective (graphRestriction a b) := by intro C refine ⟨(ContinuousLinearMap.inr ℂ _ _).comp (C.comp (ContinuousLinearMap.fst ℂ _ _)),?_⟩ ext v simp [graphRestriction_apply] theorem graphQuotient_smooth : ContDiff ℂ ∞ (graphQuotient (t := t) (l := l)) := contDiff_const.sub (contDiff_id.clm_comp contDiff_const) theorem graphInclusion_smooth : ContDiff ℂ ∞ (graphInclusion (s := s) (k := k)) := contDiff_const.add (contDiff_const.clm_comp contDiff_id) theorem graphRestriction_smooth : ContDiff ℂ ∞ (fun p : GraphSlope s k × GraphSlope t l => graphRestriction p.1 p.2) := by have hq : ContDiff ℂ ∞ (fun p : GraphSlope s k × GraphSlope t l => graphQuotient p.2) := graphQuotient_smooth.comp contDiff_snd have hi : ContDiff ℂ ∞ (fun p : GraphSlope s k × GraphSlope t l => graphInclusion p.1) := graphInclusion_smooth.comp contDiff_fst exact (((ContinuousLinearMap.compL ℂ (GraphHorizontal s) (GraphAmbient t l) (GraphVertical l)).contDiff.comp hq)).clm_comp (((ContinuousLinearMap.compL ℂ (GraphHorizontal s) (GraphAmbient s k) (GraphAmbient t l)).flip.contDiff).comp hi) theorem graphRestriction_smooth_real : ContDiff ℝ ∞ (fun p : GraphSlope s k × GraphSlope t l => graphRestriction p.1 p.2) := (graphRestriction_smooth (s := s) (k := k) (t := t) (l := l)).restrict_scalars ℝ end Kaplansky.Incidence end open scoped ContDiff Manifold namespace Kaplansky.Incidence open ComplexGrassmann SmoothKernel variable {s k t l q : ℕ} abbrev TupleAmbient (q s k t l : ℕ) := Fin q → GraphAmbient s k →L[ℂ] GraphAmbient t l abbrev TupleTarget (q s l : ℕ) := Fin q → GraphHorizontal s →L[ℂ] GraphVertical l def tupleGraphRestriction (a : GraphSlope s k) (b : GraphSlope t l) : TupleAmbient q s k t l →L[ℂ] TupleTarget q s l := ContinuousLinearMap.pi (fun i => (graphRestriction a b).comp (ContinuousLinearMap.proj i)) theorem tupleGraphRestriction_surjective (a : GraphSlope s k) (b : GraphSlope t l) : Function.Surjective (tupleGraphRestriction (q := q) a b) := by intro C choose T hT using fun i => graphRestriction_surjective a b (C i) exact ⟨T,funext hT⟩ theorem tupleGraphRestriction_smooth : ContDiff ℂ ∞ (fun p : GraphSlope s k × GraphSlope t l => tupleGraphRestriction (q := q) p.1 p.2) := by apply contDiff_clm_apply_iff.mpr intro T apply contDiff_pi.mpr intro i exact graphRestriction_smooth.clm_apply contDiff_const theorem tupleTarget_finrank : Module.finrank ℂ (TupleTarget q s l)=q*s*l := by have h : Module.finrank ℂ (GraphHorizontal s →L[ℂ] GraphVertical l)=s*l := graph_slope_complex_finrank simp [TupleTarget,Module.finrank_pi_fintype,h,Nat.mul_assoc] variable {Y V : Type*} [NormedAddCommGroup Y] [NormedSpace ℝ Y] [NormedAddCommGroup V] [NormedSpace ℂ V] variable (ev : Y → V →L[ℂ] TupleAmbient q s k t l) /-- The actual linear family whose zero set is the local incidence locus. -/ def graphEvaluation (p : Y × (GraphSlope s k × GraphSlope t l)) : V →L[ℂ] TupleTarget q s l := (tupleGraphRestriction p.2.1 p.2.2).comp (ev p.1) theorem graphEvaluation_smooth (he : ContDiff ℝ ∞ ev) : ContDiff ℝ ∞ (graphEvaluation ev) := by have hc : ContDiff ℂ ∞ (fun p : (TupleAmbient q s k t l →L[ℂ] TupleTarget q s l) × (V →L[ℂ] TupleAmbient q s k t l) => p.1.comp p.2) := contDiff_fst.clm_comp contDiff_snd exact (hc.restrict_scalars ℝ).comp (((tupleGraphRestriction_smooth (q := q) (s := s) (k := k) (t := t) (l := l)).restrict_scalars ℝ).comp contDiff_snd |>.prodMk (he.comp contDiff_fst)) def graphFamily (he : ContDiff ℝ ∞ ev) (hs : ∀ y, Function.Surjective (ev y)) : SurjectiveFamily (Y × (GraphSlope s k × GraphSlope t l)) V (TupleTarget q s l) where map := graphEvaluation ev continuous := (graphEvaluation_smooth ev he).continuous surjective p := (tupleGraphRestriction_surjective p.2.1 p.2.2).comp (hs p.1) omit [NormedAddCommGroup Y] [NormedSpace ℝ Y] in theorem graphEvaluation_zero_iff (p : Y × (GraphSlope s k × GraphSlope t l)) (v : V) : graphEvaluation ev p v=0 ↔ ∀ i, ∀ x ∈ p.2.1.toLinearMap.graph, ev p.1 v i x ∈ p.2.2.toLinearMap.graph := by constructor · intro h i have hi := congrArg (fun T : TupleTarget q s l => T i) h exact (graphRestriction_zero_iff p.2.1 p.2.2 (ev p.1 v i)).mp hi · intro h funext i exact (graphRestriction_zero_iff p.2.1 p.2.2 (ev p.1 v i)).mpr (h i) variable [FiniteDimensional ℂ V] theorem graph_kernel_finrank (he : ContDiff ℝ ∞ ev) (hs : ∀ y, Function.Surjective (ev y)) (p : Y × (GraphSlope s k × GraphSlope t l)) : Module.finrank ℂ (LinearMap.ker (graphEvaluation ev p).toLinearMap)= Module.finrank ℂ V-q*s*l := by have h := (graphFamily ev he hs).kernel_finrank p change Module.finrank ℂ (LinearMap.ker (graphEvaluation ev p).toLinearMap) = Module.finrank ℂ V - Module.finrank ℂ (TupleTarget q s l) at h rw [tupleTarget_finrank] at h exact h theorem graph_kernel_bundle_smooth (he : ContDiff ℝ ∞ ev) (hs : ∀ y, Function.Surjective (ev y)) : (graphFamily ev he hs).realCore.IsContMDiff 𝓘(ℝ,Y × (GraphSlope s k × GraphSlope t l)) ∞ := (graphFamily ev he hs).realCore_isContMDiff (graphEvaluation_smooth ev he) omit [FiniteDimensional ℂ V] in theorem incidence_model_finrank [FiniteDimensional ℝ Y] : Module.finrank ℝ ((Y × (GraphSlope s k × GraphSlope t l)) × KernelModel V (TupleTarget q s l))= Module.finrank ℝ Y+2*s*k+2*t*l+2*(Module.finrank ℂ V-q*s*l) := by simp only [Module.finrank_prod,graph_slope_real_finrank, SurjectiveFamily.kernel_model_real_finrank,tupleTarget_finrank] omega end Kaplansky.Incidence end end OAI