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The spectral Mazur distance squared as an overlap-weighted sum of scalar Mazur terms

Proved
HlawkaSchatten.spectralMazurDistanceSq_eq_sum

by savarin · Sep 27, 2026 · Mathlib 0df444a (Lean v4.33.1)

hermitian-operatorshilbert-schmidt-normhlawka-schattenspectral-theory

Fix a finite-dimensional complex inner-product space EEE and a real number ppp (no hypothesis is placed on ppp). Let (ei)i∈ι(e_i)_{i\in\iota}(ei​)i∈ι​ and (fj)j∈κ(f_j)_{j\in\kappa}(fj​)j∈κ​ be orthonormal bases of EEE indexed by finite index types ι,κ\iota,\kappaι,κ, with real numbers a:ι→Ra:\iota\to\mathbb Ra:ι→R, b:κ→Rb:\kappa\to\mathbb Rb:κ→R attached to them. Write diage(c)\mathrm{diag}_e(c)diage​(c) for the self-adjoint operator on EEE with diage(c) ei=ci ei\mathrm{diag}_e(c)\,e_i=c_i\,e_idiage​(c)ei​=ci​ei​ (spectralDiagonal), and for h:R→Rh:\mathbb R\to\mathbb Rh:R→R write h(c)h(c)h(c) for the tuple i↦h(ci)i\mapsto h(c_i)i↦h(ci​).

Let ψp(x)=sign⁡(x) ∣x∣p/2\psi_p(x) = \operatorname{sign}(x)\,|x|^{p/2}ψp​(x)=sign(x)∣x∣p/2 for x≠0x\ne0x=0, with ψp(0)=0\psi_p(0)=0ψp​(0)=0, be the scalar Mazur map (scalarMazur). The spectral Mazur distance squared of (e,a)(e,a)(e,a) against (f,b)(f,b)(f,b) is

SMDp(e,a,f,b)=Re⁡Tr⁡(diage(ψp(a)2))−2Re⁡Tr⁡ ⁣(diage(ψp(a))∘diagf(ψp(b)))+Re⁡Tr⁡(diagf(ψp(b)2)).\begin{aligned} \mathrm{SMD}_p(e,a,f,b) &= \operatorname{Re}\operatorname{Tr}\big(\mathrm{diag}_e(\psi_p(a)^2)\big) \\ &\quad - 2\operatorname{Re}\operatorname{Tr}\!\big(\mathrm{diag}_e(\psi_p(a))\circ \mathrm{diag}_f(\psi_p(b))\big) \\ &\quad + \operatorname{Re}\operatorname{Tr}\big(\mathrm{diag}_f(\psi_p(b)^2)\big). \end{aligned}SMDp​(e,a,f,b)​=ReTr(diage​(ψp​(a)2))−2ReTr(diage​(ψp​(a))∘diagf​(ψp​(b)))+ReTr(diagf​(ψp​(b)2)).​

This is the real-valued definition spectralMazurDistanceSq. With ov⁡(ei,fj)=∣⟨ei,fj⟩∣2\operatorname{ov}(e_i,f_j)=|\langle e_i,f_j\rangle|^2ov(ei​,fj​)=∣⟨ei​,fj​⟩∣2 the squared overlap of two basis vectors (orthonormalBasisOverlap), the theorem states

SMDp(e,a,f,b)  =  ∑(i,j) ∈ ι×κov⁡(ei,fj) (ψp(ai)−ψp(bj))2.\mathrm{SMD}_p(e,a,f,b) \;=\; \sum_{(i,j)\,\in\,\iota\times\kappa} \operatorname{ov}(e_i,f_j)\,\big(\psi_p(a_i)-\psi_p(b_j)\big)^2.SMDp​(e,a,f,b)=(i,j)∈ι×κ∑​ov(ei​,fj​)(ψp​(ai​)−ψp​(bj​))2.

This is the second of two exact finite double-sum decompositions (the other is for the trace-level Bregman divergence) that let a scalar comparison known for every pair of real numbers be lifted, with the overlap weights ov⁡(ei,fj)\operatorname{ov}(e_i,f_j)ov(ei​,fj​) — nonnegative and summing to 111 along every row and column — unchanged in its constants, to a comparison between traces of finite-dimensional Hermitian operators.

Formalization Note The identity holds for every real ppp and needs no hypothesis on it: both sides are already expressed through the fully totalized real power ψp\psi_pψp​, and the right-hand side is manifestly a sum of squares whatever the sign or size of ppp.

Preamble
import Definitions.Def_HlawkaSchatten_HermitianSpectral
import Definitions.Def_HlawkaSchatten_ScalarBregman
import Definitions.Def_HlawkaSchatten_SpectralLift
import Mathlib.Analysis.Calculus.LHopital
import Mathlib.Analysis.Convex.Deriv
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.InnerProductSpace.Basic
import Mathlib.Analysis.InnerProductSpace.Dual
import Mathlib.Analysis.InnerProductSpace.NormPow
import Mathlib.Analysis.InnerProductSpace.PiL2
import Mathlib.Analysis.InnerProductSpace.Trace
import Mathlib.Data.Sign.Basic
import Mathlib.Topology.Compactification.OnePoint.Basic
import Mathlib.Topology.Instances.Sign

/-
Copyright (c) 2026 Ezzeri Esa. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Ezzeri Esa
-/

/-!
# Finite Hermitian spectral trace expansions

This file connects the overlap-weighted scalar comparison to traces of
finite-dimensional symmetric complex-linear maps.
-/


open scoped InnerProductSpace
open RCLike
open ComplexConjugate

variable {ι κ E : Type*} [Fintype ι] [Fintype κ]
  [NormedAddCommGroup E] [InnerProductSpace ℂ E]

open HlawkaSchatten
Formal statement
theorem HlawkaSchatten.spectralMazurDistanceSq_eq_sum [FiniteDimensional ℂ E]
    (p : ℝ) (e : OrthonormalBasis ι ℂ E) (a : ι → ℝ)
    (f : OrthonormalBasis κ ℂ E) (b : κ → ℝ) :
    spectralMazurDistanceSq p e a f b =
      ∑ ij : ι × κ, orthonormalBasisOverlap e f ij *
        (scalarMazur p (a ij.1) - scalarMazur p (b ij.2)) ^ 2 := by sorry
Source
https://github.com/savarin/hlawka-schatten/blob/79aa498bfcf7b22bd91d771fb32ec278e2d4704b/HlawkaSchatten/HermitianSpectral.lean#L426-L446

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