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arxiv: 2606.09057 · v1 · pith:WSR6UVDZnew · submitted 2026-06-08 · 🧮 math.CA

Weighted Hardy Inequality in l₂

Pith reviewed 2026-06-27 14:48 UTC · model grok-4.3

classification 🧮 math.CA
keywords weighted Hardy inequalitybest constantsconvergence rateextremal sequencesfinite sequencesl2 spaces
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The pith

The exact rate of convergence for the smallest constant dn in the weighted Hardy inequality is established, along with an almost extremal sequence.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper examines the smallest constant dn making the weighted Hardy inequality hold for every real sequence a of length n. It proves the precise asymptotic rate at which dn converges as n tends to infinity. The work also identifies an almost extremal sequence that nearly attains the bound. This sharpens the understanding of how the inequality performs in finite weighted l2 spaces.

Core claim

The infimum dn of constants satisfying the inequality sum (1/k sum_{j=1 to k} a_j)^2 k^epsilon <= dn sum a_k^2 k^epsilon for k=1 to n admits an exact rate of convergence as n grows, and an almost extremal sequence is constructed.

What carries the argument

dn, the infimum of constants C such that the weighted Hardy inequality holds for all real sequences a of length n.

Load-bearing premise

That dn admits an exact asymptotic description via some test sequence or variational method.

What would settle it

A sequence of length n for which the ratio of the left-hand side to the right-hand side of the inequality exceeds the claimed asymptotic expression for dn by more than the stated rate.

read the original abstract

We study the behaviour of the smallest possible constant $d_n$ in weighted Hardy inequality $$ \sum_{k=1}^{n}\Big(\frac{1}{k}\sum_{j=1}^{k}a_j\Big)^2 k^\epsilon\le d(n,\epsilon)\,\sum_{k=1}^{n}{a_k^2}\,k^\epsilon $$ The exact rate of convergence of $d_n$ is established and the ``almost extremal'' sequence is found.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

0 major / 2 minor

Summary. The manuscript studies the smallest constant d_n in the weighted Hardy inequality for real sequences a of length n: ∑_{k=1}^n [(1/k) ∑_{j=1}^k a_j]^2 k^ε ≤ d(n,ε) ∑_{k=1}^n a_k^2 k^ε. It claims to establish the exact rate of convergence of d_n (presumably as n→∞) and to identify an almost extremal sequence.

Significance. If the central claims hold with rigorous proofs, the result supplies precise asymptotics for the operator norm of the weighted Hardy averaging operator on the finite-dimensional weighted ℓ² space. This is a natural finite-n counterpart to the classical Hardy inequality and could inform variational characterizations or numerical approximations in weighted sequence spaces.

minor comments (2)
  1. The abstract uses both d_n and d(n,ε) without clarifying whether ε is fixed or the dependence on ε is tracked in the rate; this notation should be unified in the introduction.
  2. No explicit statement appears on whether ε is assumed positive, zero, or in a specific range; the range of validity for the claimed rate should be stated clearly near the definition of d_n.

Simulated Author's Rebuttal

0 responses · 0 unresolved

We thank the referee for the positive assessment of the manuscript and the recommendation of minor revision. No specific major comments appear in the report.

Circularity Check

0 steps flagged

No significant circularity identified

full rationale

The paper defines d_n variationally as the infimum of constants satisfying the weighted Hardy inequality for sequences of length n, which is the standard operator-norm characterization. It claims to derive the exact asymptotic rate of convergence of this quantity and an almost-extremal sequence. No equations or steps in the abstract reduce a claimed prediction to a fitted input by construction, invoke self-citations as load-bearing uniqueness results, or smuggle ansatzes. The derivation is presented as a direct analysis of the finite-dimensional weighted l2 operator and remains self-contained against external benchmarks.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

Based on abstract only; relies on standard properties of real sequences and l2 norm but no specific free parameters or invented entities are mentioned.

axioms (1)
  • standard math Standard axioms of real numbers and finite sums
    Implicit in defining the inequality and the constant d_n.

pith-pipeline@v0.9.1-grok · 5588 in / 875 out tokens · 19682 ms · 2026-06-27T14:48:56.846598+00:00 · methodology

discussion (0)

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Reference graph

Works this paper leans on

18 extracted references · 1 canonical work pages

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