REVIEW 2 major objections 3 minor 1 cited by
Identical representation functions of linear forms
T0 review · 2 major / 3 minor · reviewed 2026-08-07 · deepseek-v4-flash
Pith's one-line read This paper proves that the weighted representation function of linear forms determines both the underlying multiset and the coefficient vector, and classifies nontrivial coincidences.
desk verdict Genuine extension of Nathanson's theorem; a repairable counting gap in Lemma 2.1(ii) blocks Theorem 1.6 as written. read the letter →
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
The reading
What carries the argument
The central object is the weighted multiset $\alpha A=\alpha_1A+\cdots+\alpha_sA$, because $R_{A,\alpha}(n)$ is exactly the characteristic function $\chi_{\alpha A}(n)$: two representation functions agree precisely when the multisets $\alpha A$ and $\beta B$ coincide. The proof of rigidity is carried by Lemma 2.1, a three-part induction principle comparing initial segments of multisets and coefficient vectors: if the weighted multisets and the coefficient vectors agree up to a carefully chosen threshold, then the underlying objects agree one step further, so a hypothetical smallest disagreement is impossible. The structural results also use the Kronecker product $\alpha\beta$, which encodes the factorization identity $(\alpha\beta)A=\alpha(\beta A)$ and supplies the simplification process in Theorem 1.11.
What would settle it
Take $\beta=\alpha=(1,2)$, $D=C=\{0,1\}$, and $k=2$ in Lemma 2.1(ii). The lemma's hypotheses hold trivially, but the decomposition used in the proof gives left side $R_{C,\alpha}(2)=1$ (from $2=2\cdot1$) and right side $0$, because the representation using the second coefficient is not counted; this shows the proof of the lemma, and hence of Theorem 1.6(i), misses a representation class that must be handled.
Extended reading notes
Core claim
The paper's central assertion is that the equation $R_{A,\alpha}=R_{B,\beta}$ is rigid. For $A,B\in\mathcal{N}_m$ with $|A|,|B|\ge 2$, it proves that $\alpha A=\alpha B$ implies $A=B$ and $\alpha A=\beta A$ implies $\alpha=\beta$; in particular a nontrivial coincidence requires changing both the multiset and the coefficient vector. It further shows that if shifted multisets $A+u$, $B+v$ have equal weighted representation functions, then the shifts are forced to be $u=w(\sum\beta_i)/g$ and $v=w(\sum\alpha_i)/g$ for a common integer $w$, where $g=\gcd(\sum\alpha_i,\sum\beta_i)$. Any solution can be simplified to a primitive solution $\gamma C=\delta D$ that cannot be produced by the elementary factorization construction, and for the explicit second construction built from digit sets $S(\lambda,N)$, being primitive is equivalent to not following from the first construction and equivalent to $\log\lambda,\log\lambda'$ being linearly independent over $\mathbb{Q}$. The paper thus reduces the open classification problem to finding all primitive solutions beyond the constructions it exhibits.
Load-bearing premise
The induction in Lemma 2.1(ii) assumes that every representation of $\alpha_1 k$ using a coefficient at least $k$ is of the special form using one copy of the smallest coefficient $\alpha_1$ together with the element $k$, so that no representation involving a different large coefficient together with a nonzero element of $C$ is missed.
Editorial extensions
If this is right
- With a fixed coefficient vector, the weighted representation function determines the multiset uniquely: $R_{A,\alpha}=R_{B,\alpha}$ implies $A=B$ whenever $|A|,|B|\ge 2$.
- With a fixed multiset, the representation function determines the coefficient vector uniquely: $R_{A,\alpha}=R_{A,\beta}$ implies $\alpha=\beta$.
- A nontrivial coincidence $R_{A,\alpha}=R_{B,\beta}$ must change both arguments, and shifted coincidences are governed by the single integer $w$ in Theorem 1.4.
- Every coincidence can be decomposed to a primitive coincidence $\gamma C=\delta D$, so the classification of primitive solutions is the complete remaining task.
- In the digit-set family, the primitive, non-first-construction solutions are exactly those with $\log\lambda$ and $\log\lambda'$ linearly independent over $\mathbb{Q}$.
Reading between the lines
- One testable strengthening suggested by the proof is that equality on a sufficiently long initial segment already forces equality of truncated multisets and coefficient vectors, since the induction only compares finite windows; this would make the rigidity decidable from finite data.
- The logarithmic criterion suggests that further primitive examples, if they exist, should be sought among multiplicatively independent bases, since commensurable logarithms force the second construction to collapse into the first.
- If the missed representation class in Lemma 2.1(ii) is not excluded by the lemma's hypotheses, the rigidity theorem may still be true with a refined decomposition that counts large-coefficient pairs explicitly; checking that refined count is the natural repair.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper studies the representation function R_{A,α}(n) that counts tuples (j_1,...,j_s) with Σ α_i a_{j_i} = n for a multiset A of nonnegative integers and a positive integer vector α. The main claims are: Theorem 1.6, that for |A|,|B|≥2, αA = αB implies A=B and αA = βA implies α=β; Theorem 1.11, that every equality αA = βB can be simplified to a primitive solution; and Theorem 1.13, which characterizes the constructed second-type solutions by linear independence of logarithms. The central tool is Lemma 2.1, a local uniqueness statement that compares truncated coefficient vectors and truncated multisets from truncated equality of αC and βD.
Significance. If the results are correct, they would give a natural and substantial extension of Nathanson's theorem to weighted linear forms and to multisets, with a clean uniqueness statement (Theorem 1.6), a reduction-to-primitive framework (Theorem 1.11), and explicit families of non-trivial primitive solutions with a logarithm-independence criterion (Theorem 1.13). The paper is largely self-contained and makes honest use of the authors' prior published classification result [7] in the proof of Theorem 1.13. However, the central lemma is not proven as written, so the significance is conditional on a repair of that proof.
major comments (2)
- [Section 2, Lemma 2.1(ii)] The displayed decomposition of R_{C,α}(α1 k) in the proof of Lemma 2.1(ii) is false. For α=(1,2), C={0,1}, and k=2, we have α1 k = 2 and K=1. The right-hand side is |{(j1): 2 = 1·c_{j1}, c_{j1}<2}| + χ_α(1)χ_C(2) = 0 + 1·0 = 0. But the left-hand side is 1, because (j1,j2)=(1,1) gives 1·0 + 2·1 = 2. The missing representation uses a coefficient α_i ≥ k with an element c_j < k; in this example α_2 = k = 2 and c_j = 1. The proof's claim that this case is 'similar to the previous case' is not valid: in part (i) the target kc2 forces any positive element paired with a coefficient ≥ k to be exactly c2, whereas in part (ii) the target α1 k admits many combinations of coefficients ≥ k with elements in {1,...,k−1}. This is not a minor typo: Lemma 2.1(ii) is the key ingredient in the proof of Theorem 1.6(i) and is also used in the proof of Theorem 1.11. The lemma statement may be true and the proof may be repairable, but the submitted argument does not establish it.
- [Sections 4 and 5 (Theorems 1.6 and 1.11)] Both Theorem 1.6(i) and Theorem 1.11 depend directly on Lemma 2.1(ii): Theorem 1.6(i) applies the lemma with α=β, and Theorem 1.11 uses it repeatedly to pass from truncated equality of factorized multisets to equality of C^(l) ∩ [n]_m. Because the lemma's proof is invalid, the main uniqueness statement and the reduction theorem are not established as written. The paper should either supply a correct proof of Lemma 2.1(ii), including a full accounting of representations with coefficients ≥ k and elements < k, or restructure the argument to avoid this step.
minor comments (3)
- [Corollary 1.7] Corollary 1.7 refers to 'Proposition 1.4' but the relevant statement is Theorem 1.4.
- [Section 1, definition of primitive solution] The definition of a primitive solution is difficult to parse; the phrase 'whenever α1 = β1 = α2 = β2 = (1)' should presumably be 'then α1 = β1 = α2 = β2 = (1)', and the intended meaning (no nontrivial factorization) should be stated explicitly.
- [Proof of Theorem 1.11, first step] The text 'there exist a natural number in and for with' should read 'there exists a natural number i_n such that'; the indexing of i_n is otherwise unclear.
Circularity Check
No circularity: Theorem 1.6 is proved from a counting lemma, not from fitted inputs; the sole self-citation ([7]) is an independent published classification used as a lemma.
full rationale
The main derivation is self-contained in the relevant sense. The equality R_{A,alpha}(n) = chi_{alpha A}(n) is definitional (Eq. (1)), and the paper then proves structural uniqueness statements (Theorems 1.6 and 1.11) by a counting lemma (Lemma 2.1) and algebraic factorization arguments. No parameter is fitted to data, and no 'prediction' is a renamed input: the equal-representation-function condition is equivalent by definition to equality of multisets alpha A = beta B, and the theorems classify when that can happen. The only self-citation in a load-bearing position is Theorem 1.2 of [7], used in the proof of Theorem 1.13(i)->(ii). That cited theorem is a published classification of unique representations by linear forms; it supplies a structural fact about coefficient vectors when a representation function is identically 1, with assumptions distinct from the conclusion being proved here. It is not a parameter fitted to the present data and it does not assert the equivalence Theorem 1.13 is proving, so under the stated rules it counts as independent support and does not raise the circularity score. A reviewer's counterexample to an identity inside the proof of Lemma 2.1(ii) indicates a possible gap in the written proof, but a proof gap is a correctness concern, not a circularity concern.
Assumptions & free parameters
assumptions (2)
- domain assumption N_m is the class of multisets of nonnegative integers with exactly one 0 and finite multiplicities; all A, B in the theorems are assumed to lie in N_m.
- domain assumption Theorem 1.2 of [7] (Kiss and Sandor, Unique representations of integers by linear forms): if R_{C,alpha}(n)=1 for all n, then the coefficient vector is a geometric progression in a base lambda_0.
Cite this review
Pith. "Pith review of Identical representation functions of linear forms." pith.science (2026). https://pith.science/paper/IK76INMS
@misc{pith2026250603983,
author = {Pith},
title = {Pith review of: Identical representation functions of linear forms},
year = {2026},
howpublished = {\url{https://pith.science/paper/IK76INMS}},
note = {Machine review of arXiv:2506.03983}
}
abstract
For a set of natural numbers $A$, let $R_{A}(n)$ be the number of representations of a natural number $n$ as the sum of two terms from $A$. Many years ago, Nathanson studied the conditions for the set $A$ and $B$ of natural numbers that are needed to guarantee that $R_{A}(n) = R_{B}(n)$ for every positive integer $n$. In the last decades, similar questions have been studied by many authors. In this paper, we extend Nathanson's result to representation functions associated to linear forms and we study related problems.
Forward citations
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Reference graph
Works this paper leans on
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Reviewed August 7, 2026 · model on record in the stance chip above.
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