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cs.DS updates on arXiv.org

PAC Learning with Bandit Feedback: Sharp Sample Complexity in the Realizable Setting Algorithms with Polynomially-Improved Approximation Factors for the $2 \rightarrow q$ Norm, and Applications A computational phase transition for learning-to-sample from Ising models Covering vertices by sequential stars Fermi-Dirac machines as quantizations of neurons A Comprehensive Evaluation of Vertex Elimination Algorithms for Algorithmic Differentiation A Tight Bound on Localization of Electrical Flows Optimal Dimension-Free Sampling for Regularized Classification Reducing the Randomness in Partition Oracles for Bounded Degree Minor-Free Graphs Beyond the Half-Approximation: Fair and Efficient Online Class Matching Efficient Uniform Sampling of Surjections via their Profiles Tractable Maximization of Budgeted Phylogenetic Diversity on Networks Utilizing Node Scanwidth Fairness in Aggregation: Optimal Top-$k$ and Improved Full Ranking Learning-Augmented Online Scheduling with Parsimonious Preemption Entropy Equivalence Testing Lumberjack: Better Differentially Private Random Forests through Heavy Hitter Detection in Trees The Secretary Problem with a Stochastic Precursor Polynomial-Time Robust Multiclass Linear Classification under Gaussian Marginals Efficient Banzhaf-Based Data Valuation for $k$-Nearest Neighbors Classification Block-Sphere Vector Quantization An Approximation Algorithm for Graph Label Selection Iterative Chow Filtering for Learning with Distribution Shift Complexity of Non-Log-Concave Sampling in Fisher Information Stochastic Matching via Local Sparsification Finite Sample Bounds for Learning with Score Matching What is Learnable in Valiant's Theory of the Learnable? Provable Quantization with Randomized Hadamard Transform Min-Max Optimization Requires Exponentially Many Queries Fast and Compact Graph Cuts for the Boykov-Kolmogorov Algorithm A proximal gradient algorithm for composite log-concave sampling
Exact (n + 1) Comparison Complexity for the N-Repeated El...
[Submitted on 28 Jan 2026 (v1), last revised 9 Sep 2026 (this ve · 2026-01-28 · via cs.DS updates on arXiv.org

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Abstract:This paper establishes the exact comparison complexity of finding an element repeated $n$ times in a $2n$-element array containing $n+1$ distinct values, under the equality-comparison model with $O(1)$ extra space.
We present a simple deterministic algorithm performing exactly $n+1$ comparisons and prove this bound \emph{tight}: any correct algorithm requires at least $n+1$ comparisons in the worst case.
The lower bound follows from an adversary argument using graph-theoretic structure. Equality queries build an \emph{inequality graph} $I$; its complement $P$ (potential-equalities) must contain either two disjoint $n$-cliques or one $(n+1)$-clique to maintain ambiguity. We show these structures persist through $n$ comparisons via a ``pillar matching'' construction, but cannot survive the $(n+1)$st. The matching upper bound comes from a ``triangle'' construction that forces every component of $I$ to be a clique, so each hosts at most one copy of the repeated element and the single untested element must be the answer.
This result provides a concrete, self-contained demonstration of exact lower-bound techniques, bridging toy problems with nontrivial combinatorial reasoning.

Submission history

From: Andrew Au [view email]
[v1] Wed, 28 Jan 2026 00:09:31 UTC (7 KB)
[v2] Fri, 6 Feb 2026 03:50:02 UTC (7 KB)
[v3] Wed, 9 Sep 2026 02:19:11 UTC (8 KB)