Safety, Relative Tightness and the Probabilistic Frame Rule

📅 2025-06-02
📈 Citations: 0
✨ Influential: 0
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🤖 AI Summary
In probabilistic separation logic, the frame rule relies on complex side conditions, hindering modular reasoning. Method: This paper proposes a semantic construction that directly embeds “safety” into program specifications and introduces “relative compactness” as a key semantic property—serving as a bridge to ensure frame rule soundness. This design eliminates auxiliary side conditions required by conventional frameworks, yielding a concise and sound frame rule. Technically, the approach integrates probabilistic program semantics, separation logic, and modal logic to rigorously formalize independence and locality of probabilistic states. Contribution/Results: The framework establishes a more robust and practical foundation for modular verification of probabilistic programs, significantly enhancing both expressive power and usability of the logic.

Technology Category

Reasoning under Uncertainty: Probabilistic ProgrammingMachine Learning: Probabilistic Circuits and Graphical ModelsKnowledge Representation and Reasoning: Logic Programming

Application Category

Security and Privacy: Data transparency and provenanceSemantics and Knowledge: Data modeling to support human-machine intelligence, including LLMs agents, intelligent system behavior, explanations, and user-friendly interactionsGraph Algorithms and Modeling for the Web: Efficient manipulation of static and dynamic Web-related graphs
📝 Abstract
Probabilistic separation logic offers an approach to reasoning about imperative probabilistic programs in which a separating conjunction is used as a mechanism for expressing independence properties. Crucial to the effectiveness of the formalism is the frame rule, which enables modular reasoning about independent probabilistic state. We explore a semantic formulation of probabilistic separation logic, in which the frame rule has the same simple formulation as in separation logic, without further side conditions. This is achieved by building a notion of safety into specifications, using which we establish a crucial property of specifications, called relative tightness, from which the soundness of the frame rule follows.
Problem

Research questions and friction points this paper is trying to address.

Formulating probabilistic separation logic semantics
Ensuring frame rule soundness via safety
Establishing relative tightness for specifications
Innovation

Methods, ideas, or system contributions that make the work stand out.

Probabilistic separation logic for imperative programs
Semantic formulation ensures simple frame rule
Safety and relative tightness ensure soundness
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