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feat(Analysis/Fourier/Convolution): drop continuity hypotheses from the convolution theorems#40583

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feat(Analysis/Fourier/Convolution): drop continuity hypotheses from the convolution theorems#40583
dennj wants to merge 1 commit into
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dennj:convolution

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@dennj dennj commented Jun 14, 2026

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drop continuity hypotheses from the convolution theorems

@github-actions github-actions Bot added the new-contributor This PR was made by a contributor with at most 5 merged PRs. Welcome to the community! label Jun 14, 2026
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Welcome new contributor!

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@github-actions github-actions Bot added the t-analysis Analysis (normed *, calculus) label Jun 14, 2026
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github-actions Bot commented Jun 14, 2026

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PR summary 855bf5019b

Import changes for modified files

No significant changes to the import graph

Import changes for all files
Files Import difference

Declarations diff (regex)

No declarations were harmed in the making of this PR! 🐙

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)

Lean-aware diff — post-build, computed from the Lean environment (commit 855bf50).

  • +0 new declarations
  • −0 removed declarations

No declaration differences.


No changes to strong technical debt.

No changes to weak technical debt.

Current commit 855bf5019b
Reference commit bf69091c35

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).

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