refactor: redefine spectralRadius in terms of quasispectrum

[j-loreaux]

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[github-actions]

PR summary 53f1020c7f

Import changes for modified files

No significant changes to the import graph

Import changes for all files

Files	Import difference

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Declarations diff (regex)

+ _root_.QuasispectrumRestricts.spectralRadius_eq
+ _root_.spectralRadius_le_nnnorm
+ exists_nnnorm_eq_spectralRadius
+ instCompactSpace
+ instCompactSpaceNNReal
+ instance : NormOneClass (WithLp 1 (Unitization 𝕜 A))
+ isBounded
+ isClosed
+ isCompact
+ isCompact_nnreal
+ norm_le_norm_of_mem
+ quasispectrum.of_subsingleton
+ quasispectrum_zero
+ spectralRadius_eq_of_unital
+ spectralRadius_lt_of_forall_lt
+ unitization_ofLp_one
+ unitization_toLp_one
- _root_.quasispectrum.isCompact
- _root_.quasispectrum.isCompact_nnreal
- instance _root_.quasispectrum.instCompactSpace (a : B) :
- instance _root_.quasispectrum.instCompactSpaceNNReal [NormedSpace ℝ B] [IsScalarTower ℝ B B]
- spectralRadius_le_nnnorm

You can run this locally as follows

## from your `mathlib4` directory:
git clone https://github.com/leanprover-community/mathlib-ci.git ../mathlib-ci

## summary with just the declaration names:
../mathlib-ci/scripts/pr_summary/declarations_diff.sh <optional_commit>

## more verbose report:
../mathlib-ci/scripts/pr_summary/declarations_diff.sh long <optional_commit>

The doc-module for scripts/pr_summary/declarations_diff.sh in the mathlib-ci repository contains some details about this script.

Declarations diff (Lean -- pending)

Computed after the build finishes.

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No changes to strong technical debt.

No changes to weak technical debt.

Current commit 53f1020c7f
Reference commit caa4dbde35

This script lives in the mathlib-ci repository. To run it locally, from your mathlib4 directory:

git clone https://github.com/leanprover-community/mathlib-ci.git ../mathlib-ci
../mathlib-ci/scripts/reporting/technical-debt-metrics.sh pr_summary

• The relative value is the weighted sum of the differences with weight given by the inverse of the current value of the statistic.
• The absolute value is the relative value divided by the total sum of the inverses of the current values (i.e. the weighted average of the differences).