We consider the system foldl. Alphabet: 0 : [] --> nat cons : [nat * list] --> list foldl : [nat -> nat -> nat * nat * list] --> nat nil : [] --> list plus : [nat * nat] --> nat plusc : [] --> nat -> nat -> nat sum : [list] --> nat Rules: foldl(f, x, nil) => x foldl(f, x, cons(y, z)) => foldl(f, f x y, z) plusc => /\x./\y.plus(x, y) sum(x) => foldl(plusc, 0, x) This AFS is converted to an AFSM simply by replacing all free variables by meta-variables (with arity 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]). In order to do so, we start by eta-expanding the system, which gives: foldl(F, X, nil) => X foldl(F, X, cons(Y, Z)) => foldl(F, F X Y, Z) plusc(X, Y) => (/\x./\y.plus x y) X Y sum(X) => foldl(/\x./\y.plusc(x, y), 0, X) We thus obtain the following dependency pair problem (P_0, R_0, computable, formative): Dependency Pairs P_0: 0] foldl#(F, X, cons(Y, Z)) =#> foldl#(F, F X Y, Z) 1] sum#(X) =#> foldl#(/\x./\y.plusc(x, y), 0, X) 2] sum#(X) =#> plusc#(Y, Z) Rules R_0: foldl(F, X, nil) => X foldl(F, X, cons(Y, Z)) => foldl(F, F X Y, Z) plusc(X, Y) => (/\x./\y.plus x y) X Y sum(X) => foldl(/\x./\y.plusc(x, y), 0, X) Thus, the original system is terminating if (P_0, R_0, computable, formative) is finite. We consider the dependency pair problem (P_0, R_0, computable, formative). We place the elements of P in a dependency graph approximation G (see e.g. [Kop12, Thm. 7.27, 7.29], as follows: * 0 : 0 * 1 : 0 * 2 : This graph has the following strongly connected components: P_1: foldl#(F, X, cons(Y, Z)) =#> foldl#(F, F X Y, Z) By [Kop12, Thm. 7.31], we may replace any dependency pair problem (P_0, R_0, m, f) by (P_1, R_0, m, f). Thus, the original system is terminating if (P_1, R_0, computable, formative) is finite. We consider the dependency pair problem (P_1, R_0, computable, formative). We apply the subterm criterion with the following projection function: nu(foldl#) = 3 Thus, we can orient the dependency pairs as follows: nu(foldl#(F, X, cons(Y, Z))) = cons(Y, Z) |> Z = nu(foldl#(F, F X Y, Z)) By [FuhKop19, Thm. 61], we may replace a dependency pair problem (P_1, R_0, computable, f) by ({}, R_0, computable, f). By the empty set processor [Kop12, Thm. 7.15] this problem may be immediately removed. 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. [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.