We consider the system length. Alphabet: 0 : [] --> nat cons : [nat * list] --> list foldr : [nat -> nat -> nat * nat * list] --> nat length : [list] --> nat nil : [] --> list s : [nat] --> nat Rules: foldr(f, x, nil) => x foldr(f, x, cons(y, z)) => f y foldr(f, x, z) length(x) => foldr(/\y./\z.s(z), 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 dynamic dependency pairs. After applying [Kop12, Thm. 7.22] to denote collapsing dependency pairs in an extended form, we thus obtain the following dependency pair problem (P_0, R_0, minimal, formative): Dependency Pairs P_0: 0] foldr#(F, X, cons(Y, Z)) =#> F(Y, foldr(F, X, Z)) 1] foldr#(F, X, cons(Y, Z)) =#> foldr#(F, X, Z) 2] length#(X) =#> foldr#(/\x./\y.s(y), 0, X) Rules R_0: foldr(F, X, nil) => X foldr(F, X, cons(Y, Z)) => F Y foldr(F, X, Z) length(X) => foldr(/\x./\y.s(y), 0, X) 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). This combination (P_0, R_0) has no formative rules! We will name the empty set of rules:R_1. By [Kop12, Thm. 7.17], we may replace the dependency pair problem (P_0, R_0, minimal, formative) by (P_0, R_1, minimal, formative). Thus, the original system is terminating if (P_0, R_1, minimal, formative) is finite. We consider the dependency pair problem (P_0, 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: foldr#(F, X, cons(Y, Z)) >? F(Y, foldr(F, X, Z)) foldr#(F, X, cons(Y, Z)) >? foldr#(F, X, Z) length#(X) >? foldr#(/\x./\y.s-(y), 0, X) s-(X) >= s(X) We apply [Kop12, Thm. 6.75] and use the following argument functions: pi( length#(X) ) = #argfun-length##(foldr#(/\x./\y.s-(y), 0, X)) We orient these requirements with a polynomial interpretation in the natural numbers. The following interpretation satisfies the requirements: #argfun-length## = \y0.3 + y0 0 = 0 cons = \y0y1.3 + y1 + 2y0 foldr = \G0y1y2.0 foldr# = \G0y1y2.3 + y2 + 2G0(y2,y1) length# = \y0.0 s = \y0.0 s- = \y0.3 + 3y0 Using this interpretation, the requirements translate to: [[foldr#(_F0, _x1, cons(_x2, _x3))]] = 6 + x3 + 2x2 + 2F0(3 + x3 + 2x2,x1) > F0(x2,0) = [[_F0(_x2, foldr(_F0, _x1, _x3))]] [[foldr#(_F0, _x1, cons(_x2, _x3))]] = 6 + x3 + 2x2 + 2F0(3 + x3 + 2x2,x1) > 3 + x3 + 2F0(x3,x1) = [[foldr#(_F0, _x1, _x3)]] [[#argfun-length##(foldr#(/\x./\y.s-(y), 0, _x0))]] = 12 + x0 > 9 + x0 = [[foldr#(/\x./\y.s-(y), 0, _x0)]] [[s-(_x0)]] = 3 + 3x0 >= 0 = [[s(_x0)]] By the observations in [Kop12, Sec. 6.6], this reduction pair suffices; we may thus replace a dependency pair problem (P_0, 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 +++ [Kop12] C. Kop. Higher Order Termination. PhD Thesis, 2012.