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chore(Order/ConditionallyCompleteLattice/Basic): use to_dual for WellFoundedLT theorems - #43101

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chore(Order/ConditionallyCompleteLattice/Basic): use to_dual for WellFoundedLT theorems#43101
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SnirBroshi:chore/to-dual/conditionally-complete-lattice-basic-wf

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The double primed le_csInf_iff'' lemma for ConditionallyCompleteLinearOrderBot took the place of the single primed le_csInf_iff' which was previously a WellFoundedLT lemma.


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@github-actions github-actions Bot added the t-order Order theory label Aug 25, 2026
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github-actions Bot commented Aug 25, 2026

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PR summary eaaaa75640

Import changes for modified files

No significant changes to the import graph

Import changes for all files
Files Import difference

Declarations diff (regex)

+ le_csInf_iff_of_wellFoundedLT

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 eaaaa75).

  • +8 new declarations
  • −0 removed declarations
+Monotone.map_csSup
+MonotoneOn.map_csSup
+csSup_eq_iff
+csSup_le_iff_of_wellFoundedGT
+csSup_mem
+isGreatest_csSup
+le_csInf_iff_of_wellFoundedLT
+sSup_eq_argmax_on

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

Current commit eaaaa75640
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).

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