Bounds And Inequalities
For ordinary numerical inequalities, start with leancert.
Use this page when you need the dedicated controls for an interval or box.
Typical goals:
Primary workflow:Advanced controls:
These tactics use the configured certificate-verification route independently of their numerical backend. See the Trust model and Backend selection for those two axes.For ergonomic raw Lean goals, start with leancert. Use certify_bound when
you intentionally want the dedicated single-variable interval engine, including
explicit Taylor-depth selection.
certify_bound is a numerical portfolio rather than a promise of one fixed
backend. Subdivision and global optimization are strategies, not backends.
Without a positional Taylor depth it uses the same coordinated three-stage
schedule as leancert: Dyadic precision increases from -53 through -85 to
-117, while Taylor depth increases by 10 at each stage. A positional depth,
for example certify_bound 20, keeps Taylor depth fixed and still adapts
Dyadic precision. The final Rational fallback runs only after the Dyadic
stages are exhausted.
interval_bound_subdiv depth maxDepth splits candidate boxes and certifies
every retained leaf. leancert? reports its configured and deepest depths,
boxes examined, certified leaves, whether the addressed frontier passed its
structural check, and verification usage. The frontier check establishes a
complete canonical binary frontier; the subdivision recursion maintains the
association between each address and its proof leaf. See the
verification-status table for the
precise checker boundary and failure semantics.
Minimal example:
Discovery commands can help find a candidate bound before formalizing it. See Optimization and Discovery.
For the full tactic reference, see Reference → Tactics.
For troubleshooting failed interval proofs, see Troubleshooting.