Consistency and Causality of Interconnected Nonsignaling Resources
Peter Bierhorst

TL;DR
This paper develops a framework for analyzing networks of nonsignaling resources shared among parties, establishing their joint distributions, causality, and extremal properties, with applications to nonlocality inequalities.
Contribution
It introduces a formal framework for interconnected nonsignaling resources, proving joint distribution uniqueness, causality, and the sufficiency of extremal resources in such networks.
Findings
Joint distribution for shared resources is uniquely determined and nonsignaling.
Considering extremal nonsignaling resources suffices for analyzing network properties.
The framework supports the causal interpretation of nonsignaling boxes and local wirings.
Abstract
This paper examines networks of measuring parties sharing nonsignaling resources that can be locally wired together: that is, each party follows a scheme to measure the resources in a cascaded fashion with inputs to later resources possibly depending on outputs of earlier-measured ones. A specific framework is provided for studying probability distributions arising in such networks, and this framework is used to directly prove some accepted, but often only implicitly invoked, facts: there is a uniquely determined and well-defined joint probability distribution for the outputs of all resources shared by the parties, and this joint distribution is nonsignaling. It is furthermore shown that is often sufficient to restrict consideration to only extremal nonsignaling resources when considering features and properties of such networks. Finally, the framework illustrates how the…
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Taxonomy
TopicsDistributed systems and fault tolerance · Mobile Agent-Based Network Management · Service-Oriented Architecture and Web Services
