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import Mathlib.LinearAlgebra.Matrix.Determinant.Basic
import Mathlib.LinearAlgebra.Eigenspace.Minpoly
import Mathlib.LinearAlgebra.Charpoly.Basic
import MIL.Common
variable {K : Type*} [Field K] {V : Type*} [AddCommGroup V] [Module K V]
variable {W : Type*} [AddCommGroup W] [Module K W]
open Polynomial Module LinearMap
example (φ ψ : End K V) : φ * ψ = φ ∘ₗ ψ :=
LinearMap.mul_eq_comp φ ψ -- `rfl` would also work
-- evaluating `P` on `φ`
example (P : K[X]) (φ : End K V) : V →ₗ[K] V :=
aeval φ P
-- evaluating `X` on `φ` gives back `φ`
example (φ : End K V) : aeval φ (X : K[X]) = φ :=
aeval_X φ
#check Submodule.eq_bot_iff
#check Submodule.mem_inf
#check LinearMap.mem_ker
example (P Q : K[X]) (h : IsCoprime P Q) (φ : End K V) : ker (aeval φ P) ⊓ ker (aeval φ Q) = ⊥ := by
sorry
#check Submodule.add_mem_sup
#check map_mul
#check LinearMap.mul_apply
#check LinearMap.ker_le_ker_comp
example (P Q : K[X]) (h : IsCoprime P Q) (φ : End K V) :
ker (aeval φ P) ⊔ ker (aeval φ Q) = ker (aeval φ (P*Q)) := by
sorry
example (a : K) : algebraMap K (End K V) a = a • LinearMap.id := rfl
example (φ : End K V) (a : K) :
φ.eigenspace a = LinearMap.ker (φ - algebraMap K (End K V) a) :=
rfl
example (φ : End K V) (a : K) : φ.HasEigenvalue a ↔ φ.eigenspace a ≠ ⊥ :=
Iff.rfl
example (φ : End K V) (a : K) : φ.HasEigenvalue a ↔ ∃ v, φ.HasEigenvector a v :=
⟨End.HasEigenvalue.exists_hasEigenvector, fun ⟨_, hv⟩ ↦ φ.hasEigenvalue_of_hasEigenvector hv⟩
example (φ : End K V) : φ.Eigenvalues = {a // φ.HasEigenvalue a} :=
rfl
-- Eigenvalue are roots of the minimal polynomial
example (φ : End K V) (a : K) : φ.HasEigenvalue a → (minpoly K φ).IsRoot a :=
φ.isRoot_of_hasEigenvalue
-- In finite dimension, the converse is also true (we will discuss dimension below)
example [FiniteDimensional K V] (φ : End K V) (a : K) :
φ.HasEigenvalue a ↔ (minpoly K φ).IsRoot a :=
φ.hasEigenvalue_iff_isRoot
-- Cayley-Hamilton
example [FiniteDimensional K V] (φ : End K V) : aeval φ φ.charpoly = 0 :=
φ.aeval_self_charpoly