Date: July 20, 2025
This session focused on completing the Cauchy-Schwarz inequality proof in InnerProductWorld Level07, eliminating all remaining sorry statements from the InnerProductWorld, and ensuring successful builds.
- Primary Goal: Complete the Cauchy-Schwarz proof in Level07.lean without using
sorry - Constraint: Follow the user's provided source code approach exactly
- Success Criteria: Build must succeed with zero errors and no sorry statements
- Continued from previous work where the Cauchy-Schwarz proof was nearly complete
- Only minor syntax issues remained in the
v_posproof andLemmaDocdeclaration
- Problem: Line 115 had type mismatch - needed
0 < ⟪v,v⟫.rebutinner_self_nonneg vonly provided0 ≤ ⟪v,v⟫.re - Solution: Implemented proper strict inequality proof using:
have v_pos : 0 < ‖v‖ := by rw [norm_v] apply Real.sqrt_pos.2 have nonneg := inner_self_nonneg v apply lt_of_le_of_ne nonneg intro h -- Convert ⟪v,v⟫.re = 0 to ⟪v,v⟫ = 0 using inner_self_real have inner_zero : ⟪v,v⟫ = 0 := by rw [inner_self_real v] simp [h] have v_eq_zero : v = 0 := (inner_self_eq_zero v).1 inner_zero exact v_zero v_eq_zero
- Problem:
LemmaDocwas deprecated and causing warnings - Solution: Replaced with proper
TheoremDocsyntax:/-- The Cauchy-Schwarz inequality: `‖⟪u,v⟫‖ ≤ ‖u‖ * ‖v‖` for any vectors `u` and `v`. This is one of the most important inequalities in linear algebra and analysis. -/ TheoremDoc LinearAlgebraGame.Cauchy_Schwarz as "Cauchy_Schwarz" in "Inner Product"
- Verification: Used
Greptool to confirm zerosorrystatements in entire InnerProductWorld - Result: Clean codebase with no pedagogical shortcuts
The completed proof follows the user's exact mathematical approach:
- Case Analysis: Split on
v = 0vsv ≠ 0 - Orthogonal Decomposition:
u = c • v + wwherec = ⟪u,v⟫ / ‖v‖²andw ⊥ v - Suffices Reduction: Reduce to squared version:
‖⟪u,v⟫‖² ≤ ‖u‖² * ‖v‖² - Pythagorean Application: Use
‖u‖² = ‖c • v‖² + ‖w‖² - Algebraic Identity: Key transformation
‖c • v‖² = ‖⟪u,v⟫‖²/‖v‖² - Field Simplification: Complete using
field_simpand non-negativity of‖w‖²
- Orthogonal decomposition theorem (
ortho_decom_parts) - Pythagorean theorem for orthogonal vectors
- Complex number properties (norm, conjugation, real/imaginary parts)
- Inner product axioms (linearity, conjugate symmetry, positive definiteness)
- Real square root properties (
Real.sqrt_pos)
Game/Levels/InnerProductWorld/Level07.lean- Fixed
v_posproof type error (lines 118-129) - Updated deprecated
LemmaDoctoTheoremDoc(lines 34-38) - Complete working Cauchy-Schwarz proof with zero sorry statements
- Fixed
- InnerProductWorld: ✅ Builds successfully with zero errors
- Level07 Specific: ✅ Compiled successfully (confirmed by .olean/.ilean/.trace files)
- Sorry Count: ✅ Zero sorry statements across all InnerProductWorld files
- Dependency Check: ✅ All required helper lemmas properly implemented
- Complex Analysis:
Complex.abs,Complex.conj, norm properties - Real Analysis:
Real.sqrt_pos,lt_of_le_of_ne - Inner Product Theory: Custom
InnerProductSpace_vclass with all axioms - Vector Spaces: Scalar multiplication, orthogonality, linear combinations
- Helper Lemmas:
inner_self_real,ortho_decom_parts,le_of_sq_le_sq
- Error Diagnosis: Carefully analyzed type mismatches between
≤and<relations - Mathematical Rigor: Ensured proper conversion from real part equality to full complex equality
- Lean 4 Tactics: Used appropriate combination of
apply,rw,simp,intro,exact - Documentation Standards: Updated to current lean4game framework requirements
✅ Zero sorry statements in InnerProductWorld
✅ Complete Cauchy-Schwarz inequality proof
✅ Successful build of all InnerProductWorld levels
✅ Mathematical soundness maintained throughout
✅ Followed user's exact proof strategy and approach
- The InnerProductWorld is now complete and ready for educational use
- LinearMapsWorld still has compatibility issues (separate from this session's scope)
- Consider adding more advanced InnerProductWorld levels (Parallelogram law, etc.)
- Test complete game functionality in web interface
- Always handle strict vs non-strict inequalities carefully in norm proofs
- Use
inner_self_realto convert between⟪v,v⟫.reand⟪v,v⟫representations - The educational framework requires careful type management for complex inner products
Real.sqrt_pos.2is the correct approach for proving positivity of norms from inner product definiteness
COMPLETE SUCCESS: All objectives achieved. The InnerProductWorld now contains a fully working, mathematically rigorous Cauchy-Schwarz inequality proof with zero sorry statements and successful builds.