Formalize probability and stochastic processes in Lean 4.
npx skills add https://github.com/r-irbe/proof-skills --skill lean-math-stochastic
Please help me install this Agent Skill. Skill: lean-math-stochastic Source: https://github.com/r-irbe/proof-skills/tree/main/skills/lean-math-stochastic Command: npx skills add https://github.com/r-irbe/proof-skills --skill lean-math-stochastic
This guide helps Lean 4 users formalize probability, stochastic processes, and time-series reasoning, enabling rigorous development and verification of stochastic mathematics.
Consult the routing and workflow instructions and load the referenced stochastic encyclopaedia to begin formalizing a concept in Lean 4.
High-intent search queries and answers about installing and using this skill.
To formalize stochastic processes in Lean 4, load the referenced stochastic encyclopaedia and follow the routing guidelines provided to align with Mathlib APIs and workflow templates for rigorous theorem proving.
The best way to structure Lean 4 proofs for Markov chains and ergodic theory is to use the provided pipeline blueprint and best practices, ensuring your formalization aligns with existing Mathlib APIs and stochastic reasoning patterns.
Yes, you can verify algorithms involving time-series reasoning in Lean 4 by applying the formalization patterns and workflow templates designed to support rigorous mathematical proofs across probability theory and spectral analysis.
Yes, aligning with Mathlib APIs is required when formalizing probability theorems in Lean 4 to ensure proper routing, workflow handoffs, and integration with the broader Lean 4 mathematical library ecosystem.
Limitations of formalizing stochastic math in Lean 4 include navigating complex Mathlib API routing and adhering to strict workflow handoffs, which require intermediate-level understanding of theorem proving and probabilistic formalization pipelines.
AMGrobelnikCompile and verify Lean 4 code with Mathlib integration.
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r-irbeFrame strategic questions and surface candidate proof approaches for Lean 4 formalization.
parcadeiSolve limit problems using a decision tree of mathematical techniques.
