We consider the system kripke. Alphabet: abs : [] --> (a -> b) -> Arrab app : [] --> Arrab -> a -> b box : [] --> a -> Boxa unbox : [] --> Boxa -> a Rules: app (abs (/\x.f x)) y => f y abs (/\x.app y x) => y unbox (box x) => x box (unbox x) => x Using the transformations described in [Kop11], this system can be brought in a form without leading free variables in the left-hand side, and where the left-hand side of a variable is always a functional term or application headed by a functional term. We now transform the resulting AFS into an AFSM by replacing all free variables by meta-variables (with arity 0). This leads to the following AFSM: Alphabet: abs : [a -> b] --> Arrab app : [Arrab * a] --> b box : [a] --> Boxa unbox : [Boxa] --> a ~AP1 : [a -> b * a] --> b Rules: app(abs(/\x.~AP1(F, x)), X) => ~AP1(F, X) abs(/\x.app(X, x)) => X unbox(box(X)) => X box(unbox(X)) => X app(abs(/\x.app(X, x)), Y) => app(X, Y) ~AP1(F, X) => F X Symbol ~AP1 is an encoding for application that is only used in innocuous ways. We can simplify the program (without losing non-termination) by removing it. Additionally, we can remove some (now-)redundant rules. This gives: Alphabet: abs : [a -> b] --> Arrab app : [Arrab * a] --> b box : [a] --> Boxa unbox : [Boxa] --> a Rules: app(abs(/\x.X(x)), Y) => X(Y) abs(/\x.app(X, x)) => X unbox(box(X)) => X box(unbox(X)) => X We observe that the rules contain a first-order subset: unbox(box(X)) => X box(unbox(X)) => X Moreover, the system is finitely branching. Thus, by [Kop12, Thm. 7.55], we may omit all first-order dependency pairs from the dependency pair problem (DP(R), R) if this first-order part is Ce-terminating when seen as a many-sorted first-order TRS. According to nattprover, this system is indeed Ce-terminating: || Input TRS: || 1: unbox(box(PeRCenTX)) -> PeRCenTX || 2: box(unbox(PeRCenTX)) -> PeRCenTX || 3: TIlDePAIR(PeRCenTX,PeRCenTY) -> PeRCenTX || 4: TIlDePAIR(PeRCenTX,PeRCenTY) -> PeRCenTY || Number of strict rules: 4 || Direct POLO(bPol) ... removes: 4 1 3 2 || TIlDePAIR w: x1 + 2 * x2 + 1 || box w: 2 * x1 + 1 || unbox w: 2 * x1 + 1 || Number of strict rules: 0 || We use the dependency pair framework as described in [Kop12, Ch. 6/7], with static dependency pairs (see [KusIsoSakBla09] and the adaptation for AFSMs and accessible arguments in [FuhKop19]). We thus obtain the following dependency pair problem (P_0, R_0, computable, all): Dependency Pairs P_0: Rules R_0: app(abs(/\x.X(x)), Y) => X(Y) abs(/\x.app(X, x)) => X unbox(box(X)) => X box(unbox(X)) => X Thus, the original system is terminating if (P_0, R_0, computable, all) is finite. We consider the dependency pair problem (P_0, R_0, computable, all). We place the elements of P in a dependency graph approximation G (see e.g. [Kop12, Thm. 7.27, 7.29], as follows: This graph has no strongly connected components. By [Kop12, Thm. 7.31], this implies finiteness of the dependency pair problem. As all dependency pair problems were succesfully simplified with sound (and complete) processors until nothing remained, we conclude termination. +++ Citations +++ [FuhKop19] C. Fuhs, and C. Kop. A static higher-order dependency pair framework. In Proceedings of ESOP 2019, 2019. [Kop11] C. Kop. Simplifying Algebraic Functional Systems. In Proceedings of CAI 2011, volume 6742 of LNCS. 201--215, Springer, 2011. [Kop12] C. Kop. Higher Order Termination. PhD Thesis, 2012. [KusIsoSakBla09] K. Kusakari, Y. Isogai, M. Sakai, and F. Blanqui. Static Dependency Pair Method Based On Strong Computability for Higher-Order Rewrite Systems. In volume 92(10) of IEICE Transactions on Information and Systems. 2007--2015, 2009.