feat: multiplication by a regular function in D^n as a CLM (bilin version)#41485
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luigi-massacci wants to merge 26 commits into
Open
feat: multiplication by a regular function in D^n as a CLM (bilin version)#41485luigi-massacci wants to merge 26 commits into
luigi-massacci wants to merge 26 commits into
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PR summary e073ef0d33
|
| File | Base Count | Head Count | Change |
|---|---|---|---|
| Mathlib.Analysis.Distribution.ContDiffMapSupportedIn | 2395 | 2404 | +9 (+0.38%) |
| Mathlib.Analysis.Distribution.TestFunction | 2433 | 2440 | +7 (+0.29%) |
Import changes for all files
| Files | Import difference |
|---|---|
Mathlib.Analysis.Distribution.Distribution Mathlib.Analysis.Distribution.TestFunction |
7 |
Mathlib.Analysis.Distribution.ContDiffMapSupportedIn |
9 |
Declarations diff (regex)
++ bilinLeftCLM
++ bilinLeftCLM_apply
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
e073ef0).
- +5 new declarations
- −0 removed declarations
+ContDiffMapSupportedIn.bilinLeftCLM
+ContDiffMapSupportedIn.bilinLeftCLM_apply
+ContDiffMapSupportedIn.mk.congr_simp
+TestFunction.bilinLeftCLM
+TestFunction.bilinLeftCLM_applyNo changes to strong technical debt.
No changes to weak technical debt.
Current commit e073ef0d33
Reference commit ed0d70fdcd
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
relativevalue is the weighted sum of the differences with weight given by the inverse of the current value of the statistic. - The
absolutevalue is therelativevalue divided by the total sum of the inverses of the current values (i.e. the weighted average of the differences).
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This PR/issue depends on: |
This was referenced Jul 9, 2026
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Preliminary lemma for multiplication of a classical distribution by a regular function. The structure is the same as for `TestFunction.fderiv´.