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arXiv:2603.26692v1 Announce Type: new Abstract: We introduce a new notion, that of a contextuality profile of a system. Rather than characterizing a system's contextuality by a single number, its overall degree of contextuality, we show how it can be characterized by a curve relating degree of contextuality to level at which the system is considered,\begin{array}{c|c|c|c|c|c|c|c} \textnormal{level} & 1 & \cdots & n-1 & n>1 & n+1 & \cdots & N\\ \hline \textnormal{degree} & 0 & \cdots & 0 & d_{n}>
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✦ AI Summary· Claude Sonnet
Quantum Physics
[Submitted on 16 Mar 2026]
Degrees, Levels, and Profiles of Contextuality
Ehtibar N. Dzhafarov, Victor H. Cervantes
We introduce a new notion, that of a contextuality profile of a system. Rather than characterizing a system's contextuality by a single number, its overall degree of contextuality, we show how it can be characterized by a curve relating degree of contextuality to level at which the system is considered,
\begin{array}{c|c|c|c|c|c|c|c} \textnormal{level} & 1 & \cdots & n-1 & n>1 & n+1 & \cdots & N\\ \hline \textnormal{degree} & 0 & \cdots & 0 & d_{n}>0 & d_{n+1}\geq d_{n} & \cdots & d_{N}\geq d_{N-1} \end{array}
,where N is the maximum number of variables per system's context. A system is represented at level n if one only considers the joint distributions with k\leq n variables, ignoring higher-order joint distributions. We show that the level-wise contextuality analysis can be used in conjunction with any well-constructed measure of contextuality. We present a method of concatenated systems to explore contextuality profiles systematically, and we apply it to the contextuality profiles for three major measures of contextuality proposed in the literature.
Comments: 27 pp. 15 figures, 8 tables
Subjects: Quantum Physics (quant-ph); Artificial Intelligence (cs.AI); Probability (math.PR)
MSC classes: 81P13, 81Q99, 60A99
Cite as: arXiv:2603.26692 [quant-ph]
(or arXiv:2603.26692v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2603.26692
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Submission history
From: Ehtibar Dzhafarov [view email]
[v1] Mon, 16 Mar 2026 08:58:27 UTC (457 KB)
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