The 2-Dimensional Constraint Loop Problem is Decidable
Quentin Guilmant, Engel Lefaucheux, Joël Ouaknine, James Worrell
TL;DR
This work proves that the termination problem for linear constraint loops over the real numbers is decidable in dimension two. By introducing a witness framework $\Wcal(K)=(M,C,v,w)$, the authors reduce termination to the (decidable) theory of real closed fields with a bounded quantifier, leveraging MW-convex geometry to ensure projections preserve the recession cone. They develop accumulation-expansion techniques to analyze unbounded executions and show tight equivalences: a non-terminating run exists iff a suitable witness exists, with constructive sufficiency and dimension-specific necessity results. The approach unifies bounded and unbounded behaviors via recession cones, convexity theory, and recurrence relations, yielding a polynomial-space decision procedure for the real-parameter setting in dimension $2$ and advancing the understanding of termination beyond linear ranking functions. Overall, the results give a concrete, geometry-driven certificate for non-termination and a path to decidability for a class of non-deterministic, linear-constraint loops in low dimensions.
Abstract
A linear constraint loop is specified by a system of linear inequalities that define the relation between the values of the program variables before and after a single execution of the loop body. In this paper we consider the problem of determining whether such a loop terminates, i.e., whether all maximal executions are finite, regardless of how the loop is initialised and how the non-determinism in the loop body is resolved. We focus on the variant of the termination problem in which the loop variables range over $\mathbb{R}$. Our main result is that the termination problem is decidable over the reals in dimension~2. A more abstract formulation of our main result is that it is decidable whether a binary relation on $\mathbb{R}^2$ that is given as a conjunction of linear constraints is well-founded.
