arXiv:2503.21180v3

Metric theory of inhomogeneous Diophantine approximations with a fixed matrix

Nikolay Moshchevitin, Vasiliy Neckrasov

math.NT11J2011J8311J13

Abstract

In this paper we develop a metric theory of inhomogeneous Diophantine approximation for the case of a fixed matrix. We use transference principle to connect uniform Diophantine properties of a pair (Θ,η)(Θ, \pmbη) of a matrix and a vector with the asymptotic Diophantine properties of the transposed matrix ΘΘ^{\top}, and vice versa, the asymptotic Diophantine properties of a pair (Θ,η)(Θ, \pmbη) with asymptotic Diophantine properties of the transposed matrix. In these setups, we prove analogues of classical statements of metrical homogeneous Diophantine approximations and answer some open questions that were raised in recent works.

Dependence graphs

Proof lineage

Metric theory with a fixed matrix

A statement-restricted graph for the transference, second-moment, lacunary escaping-set, and product-dimension inputs used in the paper. Historical attributions, contextual literature, and arguments reproduced in the focal paper or an included source are excluded; published books are terminal.

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Audit summary

Audited against arXiv v3

Not a correctness certificate. A “Correct” result may include yellow typos or minor formal corrections that do not affect substantive soundness. It means this audit found no unresolved substantive error under the stated criteria; it does not replace expert scrutiny or formal verification.

Current report

Detailed mathematical audit

Generated August 19, 2026
01Statements4 reported findingsCorrect

The central fixed-matrix transference, measure, winning, and Khintchine-type results are correct. Four material arguments are not valid or complete as printed: the lacunarity pigeonhole argument, the metric Cassels overlap count, the local independence normalization, and the claim that different subsequences automatically yield different infinite sums. Explicit repairs below verify the stated conclusions.

Theorems 3.1–3.4Correct

Uniform and asymptotic fixed-matrix transference results

Pages 12–15 and 28–36 · Theorems 3.1–3.4 and their general forms · arXiv:2503.21180v3

The transference inequalities correctly convert homogeneous approximants for Θ\Theta^{\top} into restrictions on the scalar products of a shift with the dual vectors. The Borel–Cantelli argument on non-exceptional affine subspaces proves the null conclusions, and the lacunary hyperplane strategy establishes the HAW conclusions. The local independence ratio in Lemma 6.5 must be normalized by the reciprocal ball measure, as the downstream Chung–Erdős computation already requires; the slicing repair below supplies that normalization and verifies the measure argument.

Theorems 3.6 and 3.7Correct

Metric Kurzweil-type null statements on affine slices

Page 16 and pages 34–39 · Theorems 3.6–3.7 and proofs · arXiv:2503.21180v3

The summability hypothesis removes the scalar-product exceptional set, while the transference inequality turns any too-good inhomogeneous approximation into one of those excluded events. The metric Cassels lemma supplies the complementary full-measure limsup statement. After replacing its one-dimensional overlap count by the coordinatewise nn-dimensional count below, the second-moment estimate is valid and the advertised affine-slice conclusions follow with the stated constants.

Theorem 3.8 and Theorem 9.1Correct

Khintchine-type comparison and uncountability

Page 17 and pages 39–42 · Theorem 3.8, Theorem 9.1, and proof · arXiv:2503.21180v3

Part (a) follows by subtracting consecutive inhomogeneous best approximants. For part (b), Proposition 5.1 supplies a sufficiently sparse subsequence whose denominator sums and error tails are geometrically dominated, giving the factor 2B2B. To justify uncountability, choose the candidate errors in consecutive pairs with each candidate at most one sixteenth the norm of its predecessor, and choose one member of every pair. The first pair at which two binary choices differ contributes more than the combined later tails, so the sums are distinct. This repairs the printed implication and proves that there are uncountably many shifts satisfying the estimate.

Proposition 5.1Correct

Uniform growth and decay of best approximations

Pages 23–24 · Proposition 5.1 and proof · arXiv:2503.21180v3

Part (a) is the cited standard growth bound. For part (b), pair the 22n2n2^{2n}-2^n small remainder cubes into antipodal pairs. Among B+1B+1, with B=2m1(22n2n)B=2^{m-1}(2^{2n}-2^n), one antipodal pair contains at least 2m+12^m+1 remainders. Change signs so all of them lie in the same member of the pair, and partition the signed denominator box into 2m2^m half-size boxes. Two denominators then share a box; their nonzero difference has norm at most Pν+BP_{\nu+B} and error at most ψΘ(Pν)/2\psi_\Theta(P_\nu)/2. Hence ψΘ(Pν+B)12ψΘ(Pν),\psi_\Theta(P_{\nu+B})\leq\frac12\psi_\Theta(P_\nu), as stated.

02Proofs5 reported findingsContains incorrect or incomplete proofs

Several proofs require material repair. Proposition 5.1 mixes numerator remainders with full lattice vectors; Lemma 7.9 uses a one-dimensional ceiling in an nn-dimensional count and then inserts extraneous factors; Lemma 6.5 states the wrong normalization without proving the pair estimate; and Theorem 9.1's uncountability inference is false for arbitrary nonzero summands. Each gap has a verified repair that preserves the theorem statements.

Proposition 5.1(b)Incorrect as written · verified repair

The pigeonhole argument uses incompatible spaces and signs

Pages 23–24 · proof of Proposition 5.1(b) · arXiv:2503.21180v3

The remainders Θpjaj\Theta\mathbf p_j-\mathbf a_j are nn-vectors, but the proof places them in boxes in Rm+n\mathbb R^{m+n}. It then adds both signs of selected denominators without ensuring that the signed remainders remain in one small cube. Instead, partition the nn-dimensional remainder shell into 22n2n2^{2n}-2^n cubes and pair antipodal cubes. One pair contains at least 2m+12^m+1 remainders; orient each by a sign into the same cube. Two of the corresponding signed denominators occupy the same one of 2m2^m half-size denominator boxes. Their difference is nonzero because distinct best-approximation indices have distinct norms, and it has exactly the bounds stated in the statements audit. The final printed inequality also has an extra factor 1/21/2 on its left; deleting it yields the proposition.

Lemma 6.5Incomplete as written · verified repair

The independence ratio is inverted and its derivation is omitted

Page 27 · Lemma 6.5 · arXiv:2503.21180v3

If BB is the fixed ball, asymptotic independence relative to normalized measure means m(UkUsB)m(UkB)m(UsB)1m(B),\frac{m(U_k\cap U_s\cap B)}{m(U_k\cap B)m(U_s\cap B)}\longrightarrow\frac1{m(B)}, not m(B)m(B). The reciprocal is also the value used later to make the Chung–Erdős lower bound equal to m(B)m(B). To prove it, decompose BB into slabs for the lower-frequency functional, apply the preceding uniform strip estimate to the higher-frequency functional on every complete slab, and bound the two boundary fragments. The condition prLus/prLuk0|\operatorname{pr}_{\mathcal L}u_s|/|\operatorname{pr}_{\mathcal L}u_k|\to0 makes the total boundary contribution negligible uniformly in the lower-frequency slab. This gives the displayed reciprocal limit and completes the omitted step.

Lemma 7.9Incorrect as written · verified repair

The metric Cassels overlap count must be coordinatewise

Pages 36–37 · proof of Lemma 7.9, especially display (7.27) · arXiv:2503.21180v3

The number of nn-dimensional grid boxes meeting a fixed cube is estimated by a single ceiling, and the next double sum contains extra factors WsWkW_s'W_k'. Coordinatewise counting instead gives, for sufficiently sparse kk, at most (1+ε)Wkm(Is)(1+\varepsilon)W_k' m(I_s) fine cubes meeting one fixed coarse cube. Since the fine cubes are disjoint, summing their overlap volumes over the WsW_s' coarse cubes yields m(EsEk)(1+ε)WsWkm(Is)m(Ik)=(1+ε)m(Es)m(Ek).m(E_s\cap E_k)\leq(1+\varepsilon)W_s'W_k'm(I_s)m(I_k)=(1+\varepsilon)m(E_s)m(E_k). The Chung–Erdős lemma then gives the claimed full-measure limsup.

Theorem 9.1(b)Incomplete as written · verified repair

Different subsequences need not produce different sums

Page 41 · last paragraph of the proof of Theorem 9.1 · arXiv:2503.21180v3

Nonzero summands alone do not make the map from subsequences to infinite sums injective. Thin the liminf-realizing candidate sequence so every error vector has norm at most one sixteenth of its predecessor and all index-gap requirements remain satisfied. Group candidates in pairs and select one candidate from each pair. At the first differing pair, the norm of the difference of the two selected terms is at least fifteen sixteenths of the larger term, whereas the sum of both later tails is less than two fifteenths of it. The resulting sums are therefore distinct, and the binary choices give continuum many valid shifts.

Exceptional-set and complement notationTypo

Two set-theoretic displays have unique corrections

Pages 25 and 13 · exceptional-set definition and discussion after Theorem 3.2 · arXiv:2503.21180v3

The exceptional set defined by infinitely many occurrences requires the limsup NνN\bigcap_N\bigcup_{\nu\geq N}, not a single union. Also, when bad approximability forces only the trivial singular shifts, it is the singular set itself that is countable, not its complement; the complement was just proved HAW. The definitions and adjacent conclusions determine both corrections uniquely.

03Novelty0 reported findingsNo non-novelty findings

No non-novelty findings.

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Paper
arXiv:2503.21180v3
Authors listed
Nikolay Moshchevitin, Vasiliy Neckrasov
Audit date
August 19, 2026
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