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feat(Analysis/Complex/CauchyIntegral): add Cauchy formula at interior points - #43100

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feat(Analysis/Complex/CauchyIntegral): add Cauchy formula at interior points#43100
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JJYYY-JJY:jjy/cauchy-integral-formula

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This generalizes the higher-order Cauchy integral formula from the center of a disc to an arbitrary point in its interior, and closes the TODO.


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github-actions Bot commented Aug 25, 2026

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PR summary a4edfcaa78

Import changes for modified files

No significant changes to the import graph

Import changes for all files
Files Import difference

Declarations diff (regex)

+ _root_.DiffContOnCl.circleIntegral_one_div_sub_pow_smul
+ _root_.DifferentiableOn.circleIntegral_one_div_sub_pow_smul
+ circleIntegral_one_div_sub_pow_smul_of_differentiable_on_off_countable

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 a4edfca).

  • +3 new declarations
  • −0 removed declarations
+Complex.circleIntegral_one_div_sub_pow_smul_of_differentiable_on_off_countable
+DiffContOnCl.circleIntegral_one_div_sub_pow_smul
+DifferentiableOn.circleIntegral_one_div_sub_pow_smul

No changes to strong technical debt.
No changes to weak technical debt.

Current commit a4edfcaa78
Reference commit 61eda68641

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.py 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).

@github-actions github-actions Bot added the t-analysis Analysis (normed *, calculus) label Aug 25, 2026
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