Plain-English statement
Arbitrary signed a,b and zero cases; upper bound Ent(a squared,b squared) <= (a-b) squared/2. Minimal 26-helper positive-Rothaus port; upstream opposite-signed two_point_inequality unused. Independently verified 6d5df34cdb124e28022f16f566ff549145eb7e65. No GaussianLSI/T2/FIRST4.6/main/work/composition completion.
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Proof architecture
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Syntax used on this page
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Lean statement
theorem two_point_squared_entropy_le_half_sq_sub (a b : ℝ) :
(a ^ 2 * Real.log (a ^ 2) + b ^ 2 * Real.log (b ^ 2)) / 2 -
((a ^ 2 + b ^ 2) / 2) * Real.log ((a ^ 2 + b ^ 2) / 2) ≤
(a - b) ^ 2 / 2 := by
have hlog2 : Real.log 2 ≤ 1 := by
have h := Real.log_le_sub_one_of_pos (by norm_num : (0 : ℝ) < 2)
norm_num at h
exact h
by_cases ha : a = 0
· subst a
by_cases hb : b = 0
· simp [hb]
· have hb2 : b ^ 2 ≠ 0 := pow_ne_zero 2 hb
have hlog := Real.log_div hb2 (by norm_num : (2 : ℝ) ≠ 0)
simp only [zero_pow (by norm_num : (2 : ℕ) ≠ 0), zero_mul, zero_add,
zero_sub, neg_sq]
rw [hlog]
nlinarith [sq_nonneg b, mul_le_mul_of_nonneg_left hlog2 (sq_nonneg b)]
· by_cases hb : b = 0
· subst b
have ha2 : a ^ 2 ≠ 0 := pow_ne_zero 2 ha
have hlog := Real.log_div ha2 (by norm_num : (2 : ℝ) ≠ 0)
simp only [zero_pow (by norm_num : (2 : ℕ) ≠ 0), zero_mul, add_zero, sub_zero]
rw [hlog]
nlinarith [sq_nonneg a, mul_le_mul_of_nonneg_left hlog2 (sq_nonneg a)]
· have h := rothaus_lemma (sq_pos_of_ne_zero ha) (sq_pos_of_ne_zero hb)
rw [Real.sqrt_sq_eq_abs, Real.sqrt_sq_eq_abs] at h
have hab : (|a| - |b|)^2 ≤ (a-b)^2 := by
rw [sq_le_sq]
exact abs_abs_sub_abs_le_abs_sub a b
linarith
end AutoSamplingTheory.TechnicalLemmas.FunctionalInequalities.TwoPointEntropy
Open AutoSamplingTheory/TechnicalLemmas/FunctionalInequalities/TwoPointEntropy.lean:544published source at ed709a7f320d
Proof architecture
Actual SPHMC omitted Gaussian LSI background; no SALD or second-route admission
Lean proof walkthrough
- Read the quantified variables and typeclass brackets as part of the mathematical statement; inferred arguments are not missing assumptions.
- `have` creates a named intermediate mathematical fact.
- `rw` rewrites by an established identity.
- `simp` normalizes through registered definitional and theorem rewrites.
- `exact` closes the current goal with an already typed term.
Why the statement has this shape
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Hidden assumptions and non-claims
- No additional hidden-contract keyword was inferred; the exact Lean hypotheses remain controlling.