Documentation

FirstOrderMethodsOptimization_Beck_2017.Chap07.Definition_7_10

noncomputable def symmetric_eigenvalue_function {n : } (X : (selfAdjoint.submodule (Matrix (Fin n) (Fin n) ))) :
Fin n

Definition 7.10: the eigenvalue function λ : 𝕊^n → ℝ^n sends a real symmetric matrix to its eigenvalues listed in weakly decreasing order.

Instances For
    @[simp]
    theorem symmetric_eigenvalue_function_apply {n : } (X : (selfAdjoint.submodule (Matrix (Fin n) (Fin n) ))) (i : Fin n) :
    symmetric_eigenvalue_function X i = .eigenvalues₀ (Fin.cast i)

    The i-th coordinate of symmetric_eigenvalue_function X is the i-th ordered eigenvalue of X.

    theorem symmetric_eigenvalue_function_antitone {n : } (X : (selfAdjoint.submodule (Matrix (Fin n) (Fin n) ))) :

    The coordinates of symmetric_eigenvalue_function X are weakly decreasing along the natural order on Fin n.