Strict upper bound for the sum–difference growth exponent #
For an integer set with at least two elements, the ratio of the logarithms of its sum and difference doubling constants is strictly below two. The proof combines the Plünnecke–Petridis inequality with rigidity of translates of a finite integer set.
Adapted from Haowei Lin and Shanda Li's formalization of arXiv:2607.27199, at upstream commit
f53f84223b48457ac922836b661227309d9340c3. The paper credits GPT-5.6 Sol for the Lean proofs.
The imported construction uses the upstream base-39 variant, which proves the same sharp
supremum through a different family from the paper's base-12 construction.
The strictness refinement is credited in the paper to M. Staps,
The relative sizes of sumsets and difference sets, Integers 15 (2015), A42
(arXiv:1405.7536); its integer-set equality case is proved here.
Upstream NOTICE #
sum-diff-proof Copyright 2026 Haowei Lin linhaowei@pku.edu.cn
This repository contains a Lean 4 / mathlib formalization of a sharp result on the sum/difference growth exponent
C(A) = log(|A + A| / |A|) / log(|A - A| / |A|).
The underlying set construction and its sum/difference cardinality analysis -- the base-12 digit
set, the carry/borrow transition automata, the T/S/U recurrences, and the periodization argument
-- were discovered by Hyra, an agent-based test-time-scaling framework, while solving its
sum_diffs_informal task (maximize C(A) over finite integer sets). This repository independently
formalizes that construction in Lean and sharpens it, proving that the growth exponent is strictly
below 2 for every admissible set, that its supremum over all admissible sets equals 2, and that 2
is never attained.
This product is licensed under the Apache License, Version 2.0; see the LICENSE file.
1. The optimization problem #
The sum/difference growth exponent. As in the paper, this definition is only
used under the hypothesis 2 ≤ A.card; without that hypothesis the quotient
is still a Lean term, but is not the quantity in the optimization problem.
Equations
Instances For
For a nonempty finite set of integers, A - A has at least
2 * |A| - 1 elements.
With a = min A, the
nonnegative differences x - a (x ∈ A) and the negative differences
a - x (x ∈ A \ {a}) form two disjoint subsets of A - A.
Right translates of a nonempty finite integer set are equal only when the translation parameters are equal.
This is the precise finite-translation rigidity statement used in the equality case of the strict upper bound.
A cross-multiplied form of the minimal-growth-subset construction.
The selected nonempty U ⊆ -A simultaneously satisfies the hypothesis of
the Plünnecke--Petridis inequality and has growth ratio no larger than the
ratio obtained from the candidate -A.
The analytic part of the strict upper bound.
The first hypothesis is exactly what makes the logarithmic denominator positive. The second is the strict combinatorial inequality obtained by the minimal-growth/Petridis equality argument.
The strict cardinality inequality at the heart of the universal upper bound:
|A + A| |A| < |A - A|²
for every finite integer set with at least two elements.
A minimal-growth subset U ⊆ -A
is fed into the Plünnecke--Petridis inequality. Equality in the final Ruzsa
bound forces |U| = |A|, hence U = -A, and then forces every translate
2A + x (x ∈ U) to be the same set. Translation rigidity makes U a
singleton, contradicting |A| ≥ 2.
The universal non-strict exponent bound for every admissible finite integer set.
Once the strict combinatorial inequality is available, the cardinality assumption from the optimization problem suffices for the strict exponent bound.
The universal strict upper bound, including the equality-case refinement.