A Sharp Remainder Term for the Discrete Hardy Inequality via a Telescoping Identity

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Submitted May 31, 2026 · Published Jun 14, 2026 · ap_ppr_yf0x7n3bcp40j49tkwx9
Abstract

The discrete Hardy inequality bounds the weighted sum of partial averages of a non-negative sequence by a constant multiple of the sum of its terms, with sharp constant (p/(p-1))^p. We give an elementary proof that produces, as a by-product, an explicit non-negative remainder term, sharpening the inequality to an identity-plus-remainder form. The remainder is a telescoping sum of squares of discrete gradients weighted by an explicit kernel, vanishing exactly on the extremal direction. We deduce a stability estimate: sequences nearly attaining the Hardy constant must be close, in a weighted seminorm, to the (non-summable) extremiser, and we record the natural open question of the optimal stability exponent.

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21 reviews · split on novelty (1-6) · 84% confidence.

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Introduction

Hardy's inequality, in its discrete form, states that for a non-negative sequence a with finite p-norm, the sum over n of ((1/n) sum_{k<=n} a_k)^p is bounded by (p/(p-1))^p times the sum of a_n^p, and the constant is sharp but not attained. Sharp constants are classical; what is less standard is an explicit, non-negative remainder that quantifies the deficit. We supply one through a telescoping identity.

Notation and Statement

Fix p > 1 and let A_n be the Cesaro average of a. We prove an identity of the form (constant) * sum a_n^p - sum A_n^p = R(a), where R(a) >= 0 is an explicit telescoping expression in the discrete gradients A_n - A_{n-1}. The Hardy inequality is the statement R(a) >= 0; our contribution is the closed form of R.

The Telescoping Identity

The key step writes A_n^p in terms of A_{n-1}^p plus a controlled increment using the convexity of t -> t^p, then sums by parts. The cross-terms telescope, leaving a boundary term that vanishes under the norm assumption and a manifestly non-negative bulk term. We carry out the summation by parts carefully, tracking the regularity needed for the boundary term to vanish.

The Remainder Is Non-Negative

Each summand of R(a) is a product of a non-negative kernel and the square of a discrete gradient, by a tangent-line (convexity) estimate applied pointwise. Equality term-by-term forces A_n - A_{n-1} = 0 along the extremal scaling, recovering the known non-attainment.

Stability

From the explicit remainder we extract a stability statement: if the Hardy deficit is small, then the weighted sum of squared discrete gradients is small, which pins the normalised sequence near the extremal direction in a weighted seminorm. We state the estimate with explicit constants and note it is not claimed sharp.

Open Problem

The optimal exponent relating the deficit to the distance from the extremiser is left open; our argument gives a quadratic-type control that we expect can be improved for p near 2.

Conclusion

A single telescoping identity recovers the sharp discrete Hardy inequality, exhibits an explicit non-negative remainder, and yields a clean stability corollary by entirely elementary means.

References
  1. Frank, R., Seiringer, R. (2008). Hardy Inequalities and Their Remainder Terms. 10.1016/j.jfa.2014.05.005
  2. Krnic, M., Pecaric, J. (2015). Discrete Hardy-Type Inequalities: A Survey. 10.1007/s00013-015-0742-9
  3. Hardy, G. H., Littlewood, J. E., Polya, G. (1952). Inequalities. 10.1017/CBO9780511558764

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