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Query complexity and the polynomial Freiman-Ruzsa conjecture
lemma_4_1: States that for every rooted tree T and every eps with 1 >= eps > 0, the largest leaf count of an eps-low subtree times the (1/eps)-th power of the largest leaf count of a binary subtree is at least the number of leaves.
proposition_1_5: States that there is an absolute constant C such that for every natural number k some finite set A of integers has |kA| + |A^(k)| at most |A|^(C log k / log log k), so the order of b(k) in Theorem 1.4 is best possible.
theorem_1_1: States the query-complexity form of weak polynomial Freiman--Ruzsa: a set in Z^d with |A+A| at most K|A| contains a subset of size at least K^(-2/eps)|A| that can be identified by at most eps log_2 |A| adaptive integer-valued coordinate queries.
theorem_1_2: States that for 1 > eps > 0 and a finite set A of integers with K_* = |AA|/|A|, the k-fold sumset satisfies |kA| >>k |A|^(k - 2 eps k log_2 k) K*^(-2k/eps), an explicit form of the Bourgain--Chang few-products, many-sums bound.
theorem_1_3: States that for 1 > eps > 0 and a finite set A of integers, the normalized additive-energy constant lambda_k(A) is at most 10 beta_(A)^(1/eps) |A|^(2 eps log_2 k), where beta_ is the multiplicative induced-doubling parameter.
theorem_1_4: States that for k > 2 and a large finite set A of integers, with delta = log beta_*(A) / log |A|, the k-fold sumset has size at least |A|^(k - 10k sqrt(delta log_2 k)) and the k-fold product set at least |A|^(delta log_2 k), so one of them has size at least |A|^b(k) with b(k) = c log_2 k / log_2 log_2 k.
Dmitrii Zhelezov, Dömötör Pálvölgyi, "Query complexity and the polynomial Freiman-Ruzsa conjecture," Adv. Math. 392 (2021), 108043; arXiv:2003.04648 (2020).
Source: arXiv:2003.04648v2. The copy read for this card is the arXiv v2 manuscript (watermark "arXiv:2003.04648v2 [math.NT] 13 Jan 2022" on p. 1), a sixteen-page dvips and Ghostscript file with a text layer whose printed page numbers equal the PDF page numbers. Provenance: downloaded from https://arxiv.org/pdf/2003.04648v2 on 2026-09-22; 199,589 bytes. The arXiv record gives the journal reference Adv. Math. 392 (2021), 108043, DOI 10.1016/j.aim.2021.108043; that version of record was not acquired and no version was compared, so the citation above follows the arXiv record. The arXiv comment on v2 says the paper was restructured and the proofs extended against v1 (10 March 2020), which was not fetched. The arXiv record names arXiv's non-exclusive distribution license (arXiv:2003.04648), every other right reserved.
Reading. The card and its result pages were checked against the arXiv v2 PDF, read whole (pp. 1--16). Labels and page numbers below are the PDF's own: Theorem 1.1, p. 3; Theorem 1.2 and Remark 1.1, p. 4; Lemma 1.1, Theorem 1.3 and Theorem 1.4, p. 5; Proposition 1.5 and Claim 2.1, p. 6; Definition 3.1 and Theorem 3.2, p. 7; Definitions 4.1--4.3 and Lemma 4.1, p. 8; Proposition 6.1, p. 11; Lemma 6.1, p. 12; Lemma 6.2, p. 13; Claim 6.2, p. 14. The abstract-versus-theorem exponent discrepancy recorded below is present in v2.
Read status. Claims checked. The statements used here (Theorems 1.1--1.4, Proposition 1.5, Lemma 4.1, Proposition 6.1, Lemmas 6.1--6.2, and Claim 6.2) were read clause by clause against the PDF, and their proof route was traced through Sections 2--6; the proofs have not been independently verified. There is one textual discrepancy in the statements: the Abstract (p. 1) gives the subset size in Theorem 1.1 as , whereas Theorem 1.1 itself (p. 3) and its proof at (10), p. 10, give . The digest uses the theorem-and-proof exponent. A second, in the proof of Theorem 1.4, is recorded on its result page.
Result pages
- Theorem 1.1 (p. 3): query-complexity form of weak polynomial Freiman--Ruzsa.
- Theorem 1.2 (p. 4): few products, many sums for integer sets.
- Theorem 1.3 (p. 5): the bound in terms of .
- Theorem 1.4 (p. 5): iterated -fold sum-product.
- Proposition 1.5 (p. 6): the construction showing the order of in Theorem 1.4 is sharp.
- Lemma 4.1 (p. 8): the low-versus-binary subtree alternative.
Coordinate-query structure
For , a query reveals the full integer value of one coordinate, not one bit, and later coordinates may be chosen adaptively from earlier answers (Section 1.1). Section 5 represents by a rooted decision tree: at each node it fibers the current set by the least coordinate that is not constant, labels the outgoing branches by that coordinate's values, and continues until the leaves are singletons. The worst number of branching vertices on a root-to-leaf path is therefore an upper bound for coordinate query complexity.
Definitions 4.1--4.3 and Lemma 4.1 supply the combinatorial dichotomy. If is the largest number of leaves in a subtree of branch-depth at most , and is the largest number of leaves in a binary subtree, then
The leaves of a binary subtree of the coordinate tree lie in a quasicube (Section 5). Theorem 3.2 says every subset of a quasicube has induced doubling , while Lemma 1.1 bounds when and . Thus , and Lemma 4.1 gives Theorem 1.1: some has
This is weaker than the affine-dimension conclusion of weak PFR: the queried coordinate can depend on the preceding answers. Its advantage here is that the bound is independent of the ambient dimension.
From prime valuations to many sums
Section 6.1 sends an integer to its vector of valuations at all primes dividing the set,
Multiplication becomes vector addition, so the paper identifies with the multiplicative induced-doubling parameter . Literally, the displayed map omits sign (and ); its asserted injectivity is read with the usual harmless separation of signs and zero.
The analytic bridge is Chang's valuation-fiber inequality, Proposition 6.1. Applying it once at every queried prime along the decision tree gives Lemma 6.1,
Claim 6.2 repeatedly extracts low-query pieces covering at least half of a set, and Lemma 6.2 makes subadditive across those pieces. Iterating the half-cover proves Theorem 1.3 (Section 6.3): for ,
Finally Lemma 1.1 gives for , and the additive-energy inequality yields Theorem 1.2 (Section 6.4):
Theorem 1.4 (statement in Section 1.2, deduction in Section 2) combines Theorem 1.3 with the iterated- Claim 2.1 to obtain a -fold sum-product exponent of order . Proposition 1.5 gives a matching-order integer construction, so that iterated result is essentially sharp in its dependence on .
Scope for Problem 52
At , Theorem 1.2 reads
Writing and choosing gives, for ,
Consequently forces for integer sets. This is the small-product endpoint of Problem 52, not a resolution of its full intermediate regime: when stays bounded away from both endpoint scales, the displayed loss is a fixed power and does not prove that one of and is .
Nor does the argument provide a rational realization of the later BSSZ real-number construction. Remark 1.1 already isolates the obstruction: the method extends to algebraic numbers of degree , but finite-prime valuations do not control large-degree unit groups. BSSZ exploits precisely such units in number fields whose degree grows with the set. Realizing its sum/product incidence pattern over would be decisive for E0052, because clearing a common denominator preserves both sumset and product-set cardinalities; this paper instead proves a lower bound for actual integer sets in the regime .
Bears on.
- Problem 52: Theorem 1.2 at gives for integer sets with , , so the problem's inequality holds for a given on sets with once ; it does not decide the problem. Theorems 1.1, 1.3 and 1.4, Proposition 1.5 and Lemma 4.1 are background only.
No file of this source is held: no license on record permits its redistribution, and the card cites the edition it names above.