We consider the system 07ordinal. Alphabet: lim : [] --> (N -> O) -> O plus : [] --> O -> O -> O s : [] --> O -> O z : [] --> O Rules: plus z x => x plus (s x) y => s (plus x y) plus (lim (/\x.f x)) y => lim (/\u.plus (f u) y) 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: lim : [N -> O] --> O plus : [O * O] --> O s : [O] --> O z : [] --> O ~AP1 : [N -> O * N] --> O Rules: plus(z, X) => X plus(s(X), Y) => s(plus(X, Y)) plus(lim(/\x.~AP1(F, x)), X) => lim(/\y.plus(~AP1(F, y), X)) ~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. This gives: Alphabet: lim : [N -> O] --> O plus : [O * O] --> O s : [O] --> O z : [] --> O Rules: plus(z, X) => X plus(s(X), Y) => s(plus(X, Y)) plus(lim(/\x.X(x)), Y) => lim(/\y.plus(X(y), Y)) We use the dependency pair framework as described in [Kop12, Ch. 6/7], with dynamic dependency pairs. We thus obtain the following dependency pair problem (P_0, R_0, minimal, formative): Dependency Pairs P_0: 0] plus#(s(X), Y) =#> plus#(X, Y) 1] plus#(lim(/\x.X(x)), Y) =#> plus#(X(y), Y) 2] plus#(lim(/\x.X(x)), Y) =#> X(y) Rules R_0: plus(z, X) => X plus(s(X), Y) => s(plus(X, Y)) plus(lim(/\x.X(x)), Y) => lim(/\y.plus(X(y), Y)) Thus, the original system is terminating if (P_0, R_0, minimal, formative) is finite. We consider the dependency pair problem (P_0, R_0, minimal, formative). We will use the reduction pair processor [Kop12, Thm. 7.16]. As the system is abstraction-simple and the formative flag is set, it suffices to find a tagged reduction pair [Kop12, Def. 6.70]. Thus, we must orient: plus#(s(X), Y) >? plus#(X, Y) plus#(lim(/\x.X(x)), Y) >? plus#(X(~c0), Y) plus#(lim(/\x.X(x)), Y) >? X(~c1) plus(z, X) >= X plus(s(X), Y) >= s(plus(X, Y)) plus(lim(/\x.X(x)), Y) >= lim(/\y.plus-(X(y), Y)) plus-(X, Y) >= plus(X, Y) plus-(X, Y) >= plus#(X, Y) We orient these requirements with a polynomial interpretation in the natural numbers. The following interpretation satisfies the requirements: lim = \G0.G0(0) plus = \y0y1.y1 + 2y0 plus- = \y0y1.y1 + 2y0 plus# = \y0y1.2y0 s = \y0.1 + y0 z = 0 ~c0 = 0 ~c1 = 0 Using this interpretation, the requirements translate to: [[plus#(s(_x0), _x1)]] = 2 + 2x0 > 2x0 = [[plus#(_x0, _x1)]] [[plus#(lim(/\x._x0(x)), _x1)]] = 2F0(0) >= 2F0(0) = [[plus#(_x0(~c0), _x1)]] [[plus#(lim(/\x._x0(x)), _x1)]] = 2F0(0) >= F0(0) = [[_x0(~c1)]] [[plus(z, _x0)]] = x0 >= x0 = [[_x0]] [[plus(s(_x0), _x1)]] = 2 + x1 + 2x0 >= 1 + x1 + 2x0 = [[s(plus(_x0, _x1))]] [[plus(lim(/\x._x0(x)), _x1)]] = x1 + 2F0(0) >= x1 + 2F0(0) = [[lim(/\x.plus-(_x0(x), _x1))]] [[plus-(_x0, _x1)]] = x1 + 2x0 >= x1 + 2x0 = [[plus(_x0, _x1)]] [[plus-(_x0, _x1)]] = x1 + 2x0 >= 2x0 = [[plus#(_x0, _x1)]] By the observations in [Kop12, Sec. 6.6], this reduction pair suffices; we may thus replace the dependency pair problem (P_0, R_0, minimal, formative) by (P_1, R_0, minimal, formative), where P_1 consists of: plus#(lim(/\x.X(x)), Y) =#> plus#(X(y), Y) plus#(lim(/\x.X(x)), Y) =#> X(y) Thus, the original system is terminating if (P_1, R_0, minimal, formative) is finite. We consider the dependency pair problem (P_1, R_0, minimal, formative). The formative rules of (P_1, R_0) are R_1 ::= plus(z, X) => X plus(lim(/\x.X(x)), Y) => lim(/\y.plus(X(y), Y)) By [Kop12, Thm. 7.17], we may replace the dependency pair problem (P_1, R_0, minimal, formative) by (P_1, R_1, minimal, formative). Thus, the original system is terminating if (P_1, R_1, minimal, formative) is finite. We consider the dependency pair problem (P_1, R_1, minimal, formative). We will use the reduction pair processor [Kop12, Thm. 7.16]. As the system is abstraction-simple and the formative flag is set, it suffices to find a tagged reduction pair [Kop12, Def. 6.70]. Thus, we must orient: plus#(lim(/\x.X(x)), Y) >? plus#(X(~c0), Y) plus#(lim(/\x.X(x)), Y) >? X(~c1) plus(z, X) >= X plus(lim(/\x.X(x)), Y) >= lim(/\y.plus-(X(y), Y)) plus-(X, Y) >= plus(X, Y) plus-(X, Y) >= plus#(X, Y) We orient these requirements with a polynomial interpretation in the natural numbers. The following interpretation satisfies the requirements: lim = \G0.2 + G0(0) plus = \y0y1.y0 + y1 plus- = \y0y1.y0 + y1 plus# = \y0y1.y0 z = 0 ~c0 = 0 ~c1 = 0 Using this interpretation, the requirements translate to: [[plus#(lim(/\x._x0(x)), _x1)]] = 2 + F0(0) > F0(0) = [[plus#(_x0(~c0), _x1)]] [[plus#(lim(/\x._x0(x)), _x1)]] = 2 + F0(0) > F0(0) = [[_x0(~c1)]] [[plus(z, _x0)]] = x0 >= x0 = [[_x0]] [[plus(lim(/\x._x0(x)), _x1)]] = 2 + x1 + F0(0) >= 2 + x1 + F0(0) = [[lim(/\x.plus-(_x0(x), _x1))]] [[plus-(_x0, _x1)]] = x0 + x1 >= x0 + x1 = [[plus(_x0, _x1)]] [[plus-(_x0, _x1)]] = x0 + x1 >= x0 = [[plus#(_x0, _x1)]] By the observations in [Kop12, Sec. 6.6], this reduction pair suffices; we may thus replace a dependency pair problem (P_1, R_1) by ({}, R_1). 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 +++ [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.