6 - Linear-Time Temporal Logics
from PART II - LOGICS
Published online by Cambridge University Press: 13 October 2016
Summary
Linear-time temporal logics formalise reasoning about single computations in transition systems, represented by linear models over natural numbers, that is, infinite sequences of states of length ω. With linear-time formulae one can specify a rich variety of important properties of infinite computations; not only local ones, like BML, but also related to their limit behaviour, such as safety, liveness or fairness. In fact, a classical result by Hans Kamp implies that the most popular linear-time logic LTL, which will be introduced and studied in this chapter, is as expressive as first-order logic on single computations Kamp (1968).
Alinear-time formula is normally used in order to specify a property for all computations in a given interpreted transition system, reflecting the view of a program as the collection of all its possible executions. This means that LTL cannot express basic branching-time properties, so the expressiveness of LTL on nonlinear transition systems is incomparable to the one of BML (see Chapter 10).
In this chapter we present and study the linear-time logic LTL and some of its most interesting extensions: with past-time operators, automata-based operators, propositional quantification, etc. We will focus on the logical and computational properties of these logics, viz. their semantics, expressiveness, model checking and testing of satisfiability and validity. We will establish the fundamental ultimately periodic model property of LTL: every satisfiable formula of that logic is satisfiable in an ultimately periodic linear model, that is, in a computation that, after a certain initial segment, starts repeating forever. Moreover, effective upper bounds, in the worst-case exponential in the length of the formula, can be computed for the length of both the initial segment and the period. Thus, the ultimately periodicmodel property implies decidability of the satisfiablity (and, hence, of validity, too) in LTL and provides a decision method for that problem. Eventually, that method can be refined and transformed into an optimal decision procedure which will be presented here. Alternative decision procedures, essentially using the same property but based respectively on tablehis chapter we present and study the linear-time logic LTL and some of its most interesting extensions: with past-time operators, automata-based operators, propositional quantification, etc.
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- Temporal Logics in Computer ScienceFinite-State Systems, pp. 150 - 208Publisher: Cambridge University PressPrint publication year: 2016