We consider the system AotoYamada_05__027. Alphabet: 0 : [] --> a cons : [a * b] --> b inc : [b] --> b map : [a -> a * b] --> b nil : [] --> b plus : [a] --> a -> a s : [a] --> a Rules: plus(0) x => x plus(s(x)) y => s(plus(x) y) inc(x) => map(plus(s(0)), x) map(f, nil) => nil map(f, cons(x, y)) => cons(f x, map(f, y)) 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 [Kop13]). In order to do so, we start by eta-expanding the system, which gives: plus(0, X) => X plus(s(X), Y) => s(plus(X, Y)) inc(X) => map(/\x.plus(s(0), x), X) map(F, nil) => nil map(F, cons(X, Y)) => cons(F X, map(F, Y)) We thus obtain the following dependency pair problem (P_0, R_0, static, formative): Dependency Pairs P_0: 0] plus#(s(X), Y) =#> plus#(X, Y) 1] inc#(X) =#> map#(/\x.plus(s(0), x), X) 2] inc#(X) =#> plus#(s(0), Y) 3] map#(F, cons(X, Y)) =#> map#(F, Y) Rules R_0: plus(0, X) => X plus(s(X), Y) => s(plus(X, Y)) inc(X) => map(/\x.plus(s(0), x), X) map(F, nil) => nil map(F, cons(X, Y)) => cons(F X, map(F, Y)) Thus, the original system is terminating if (P_0, R_0, static, formative) is finite. We consider the dependency pair problem (P_0, R_0, static, 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 : 3 * 2 : 0 * 3 : 3 This graph has the following strongly connected components: P_1: plus#(s(X), Y) =#> plus#(X, Y) P_2: map#(F, cons(X, Y)) =#> map#(F, Y) 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) and (P_2, R_0, m, f). Thus, the original system is terminating if each of (P_1, R_0, static, formative) and (P_2, R_0, static, formative) is finite. We consider the dependency pair problem (P_2, R_0, static, formative). We will use the reduction pair processor [Kop12, Thm. 7.16]. It suffices to find a standard reduction pair [Kop12, Def. 6.69]. Thus, we must orient: map#(F, cons(X, Y)) >? map#(F, Y) plus(0, X) >= X plus(s(X), Y) >= s(plus(X, Y)) inc(X) >= map(/\x.plus(s(0), x), X) map(F, nil) >= nil map(F, cons(X, Y)) >= cons(F X, map(F, Y)) We apply [Kop12, Thm. 6.75] and use the following argument functions: pi( inc(X) ) = #argfun-inc#(map(/\x.plus(s(0), x), X)) We orient these requirements with a polynomial interpretation in the natural numbers. The following interpretation satisfies the requirements: #argfun-inc# = \y0.3 + y0 0 = 0 cons = \y0y1.2 + y1 inc = \y0.0 map = \G0y1.y1 map# = \G0y1.y1 nil = 0 plus = \y0y1.3 + 2y1 s = \y0.0 Using this interpretation, the requirements translate to: [[map#(_F0, cons(_x1, _x2))]] = 2 + x2 > x2 = [[map#(_F0, _x2)]] [[plus(0, _x0)]] = 3 + 2x0 >= x0 = [[_x0]] [[plus(s(_x0), _x1)]] = 3 + 2x1 >= 0 = [[s(plus(_x0, _x1))]] [[#argfun-inc#(map(/\x.plus(s(0), x), _x0))]] = 3 + x0 >= x0 = [[map(/\x.plus(s(0), x), _x0)]] [[map(_F0, nil)]] = 0 >= 0 = [[nil]] [[map(_F0, cons(_x1, _x2))]] = 2 + x2 >= 2 + x2 = [[cons(_F0 _x1, map(_F0, _x2))]] By the observations in [Kop12, Sec. 6.6], this reduction pair suffices; we may thus replace a dependency pair problem (P_2, R_0) by ({}, R_0). By the empty set processor [Kop12, Thm. 7.15] this problem may be immediately removed. Thus, the original system is terminating if (P_1, R_0, static, formative) is finite. We consider the dependency pair problem (P_1, R_0, static, formative). We will use the reduction pair processor [Kop12, Thm. 7.16]. It suffices to find a standard reduction pair [Kop12, Def. 6.69]. Thus, we must orient: plus#(s(X), Y) >? plus#(X, Y) plus(0, X) >= X plus(s(X), Y) >= s(plus(X, Y)) inc(X) >= map(/\x.plus(s(0), x), X) map(F, nil) >= nil map(F, cons(X, Y)) >= cons(F X, map(F, Y)) We apply [Kop12, Thm. 6.75] and use the following argument functions: pi( inc(X) ) = #argfun-inc#(map(/\x.plus(s(0), x), X)) We orient these requirements with a polynomial interpretation in the natural numbers. The following interpretation satisfies the requirements: #argfun-inc# = \y0.3 + y0 0 = 0 cons = \y0y1.3 inc = \y0.0 map = \G0y1.3 + 2G0(0) + 3y1G0(y1) nil = 0 plus = \y0y1.y1 + 3y0 plus# = \y0y1.y0 s = \y0.3 + y0 Using this interpretation, the requirements translate to: [[plus#(s(_x0), _x1)]] = 3 + x0 > x0 = [[plus#(_x0, _x1)]] [[plus(0, _x0)]] = x0 >= x0 = [[_x0]] [[plus(s(_x0), _x1)]] = 9 + x1 + 3x0 >= 3 + x1 + 3x0 = [[s(plus(_x0, _x1))]] [[#argfun-inc#(map(/\x.plus(s(0), x), _x0))]] = 24 + 3x0x0 + 27x0 >= 21 + 3x0x0 + 27x0 = [[map(/\x.plus(s(0), x), _x0)]] [[map(_F0, nil)]] = 3 + 2F0(0) >= 0 = [[nil]] [[map(_F0, cons(_x1, _x2))]] = 3 + 2F0(0) + 9F0(3) >= 3 = [[cons(_F0 _x1, map(_F0, _x2))]] By the observations in [Kop12, Sec. 6.6], this reduction pair suffices; we may thus replace a dependency pair problem (P_1, R_0) by ({}, R_0). 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 +++ [Kop12] C. Kop. Higher Order Termination. PhD Thesis, 2012. [Kop13] C. Kop. Static Dependency Pairs with Accessibility. Unpublished manuscript, http://cl-informatik.uibk.ac.at/users/kop/static.pdf, 2013. [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.