/export/starexec/sandbox/solver/bin/starexec_run_FirstOrder /export/starexec/sandbox/benchmark/theBenchmark.xml /export/starexec/sandbox/output/output_files -------------------------------------------------------------------------------- YES We consider the system theBenchmark. We are asked to determine termination of the following first-order TRS. !940 : [] --> o !plus : [o * o] --> o !times : [o * o] --> o 0 : [o] --> o 1 : [o] --> o cons : [o * o] --> o nil : [] --> o prod : [o] --> o sum : [o] --> o 0(!940) => !940 !plus(X, !940) => X !plus(!940, X) => X !plus(0(X), 0(Y)) => 0(!plus(X, Y)) !plus(0(X), 1(Y)) => 1(!plus(X, Y)) !plus(1(X), 0(Y)) => 1(!plus(X, Y)) !plus(1(X), 1(Y)) => 0(!plus(!plus(X, Y), 1(!940))) !plus(!plus(X, Y), Z) => !plus(X, !plus(Y, Z)) !times(!940, X) => !940 !times(0(X), Y) => 0(!times(X, Y)) !times(1(X), Y) => !plus(0(!times(X, Y)), Y) !times(!times(X, Y), Z) => !times(X, !times(Y, Z)) sum(nil) => 0(!940) sum(cons(X, Y)) => !plus(X, sum(Y)) prod(nil) => 1(!940) prod(cons(X, Y)) => !times(X, prod(Y)) We use the dependency pair framework as described in [Kop12, Ch. 6/7], with static dependency pairs (see [KusIsoSakBla09] and the adaptation for AFSMs in [Kop12, Ch. 7.8]). We thus obtain the following dependency pair problem (P_0, R_0, minimal, formative): Dependency Pairs P_0: 0] !plus#(0(X), 0(Y)) =#> 0#(!plus(X, Y)) 1] !plus#(0(X), 0(Y)) =#> !plus#(X, Y) 2] !plus#(0(X), 1(Y)) =#> !plus#(X, Y) 3] !plus#(1(X), 0(Y)) =#> !plus#(X, Y) 4] !plus#(1(X), 1(Y)) =#> 0#(!plus(!plus(X, Y), 1(!940))) 5] !plus#(1(X), 1(Y)) =#> !plus#(!plus(X, Y), 1(!940)) 6] !plus#(1(X), 1(Y)) =#> !plus#(X, Y) 7] !plus#(!plus(X, Y), Z) =#> !plus#(X, !plus(Y, Z)) 8] !plus#(!plus(X, Y), Z) =#> !plus#(Y, Z) 9] !times#(0(X), Y) =#> 0#(!times(X, Y)) 10] !times#(0(X), Y) =#> !times#(X, Y) 11] !times#(1(X), Y) =#> !plus#(0(!times(X, Y)), Y) 12] !times#(1(X), Y) =#> 0#(!times(X, Y)) 13] !times#(1(X), Y) =#> !times#(X, Y) 14] !times#(!times(X, Y), Z) =#> !times#(X, !times(Y, Z)) 15] !times#(!times(X, Y), Z) =#> !times#(Y, Z) 16] sum#(nil) =#> 0#(!940) 17] sum#(cons(X, Y)) =#> !plus#(X, sum(Y)) 18] sum#(cons(X, Y)) =#> sum#(Y) 19] prod#(cons(X, Y)) =#> !times#(X, prod(Y)) 20] prod#(cons(X, Y)) =#> prod#(Y) Rules R_0: 0(!940) => !940 !plus(X, !940) => X !plus(!940, X) => X !plus(0(X), 0(Y)) => 0(!plus(X, Y)) !plus(0(X), 1(Y)) => 1(!plus(X, Y)) !plus(1(X), 0(Y)) => 1(!plus(X, Y)) !plus(1(X), 1(Y)) => 0(!plus(!plus(X, Y), 1(!940))) !plus(!plus(X, Y), Z) => !plus(X, !plus(Y, Z)) !times(!940, X) => !940 !times(0(X), Y) => 0(!times(X, Y)) !times(1(X), Y) => !plus(0(!times(X, Y)), Y) !times(!times(X, Y), Z) => !times(X, !times(Y, Z)) sum(nil) => 0(!940) sum(cons(X, Y)) => !plus(X, sum(Y)) prod(nil) => 1(!940) prod(cons(X, Y)) => !times(X, prod(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 place the elements of P in a dependency graph approximation G (see e.g. [Kop12, Thm. 7.27, 7.29], as follows: * 0 : * 1 : 0, 1, 2, 3, 4, 5, 6, 7, 8 * 2 : 0, 1, 2, 3, 4, 5, 6, 7, 8 * 3 : 0, 1, 2, 3, 4, 5, 6, 7, 8 * 4 : * 5 : 2, 4, 5, 6, 7, 8 * 6 : 0, 1, 2, 3, 4, 5, 6, 7, 8 * 7 : 0, 1, 2, 3, 4, 5, 6, 7, 8 * 8 : 0, 1, 2, 3, 4, 5, 6, 7, 8 * 9 : * 10 : 9, 10, 11, 12, 13, 14, 15 * 11 : 0, 1, 2 * 12 : * 13 : 9, 10, 11, 12, 13, 14, 15 * 14 : 9, 10, 11, 12, 13, 14, 15 * 15 : 9, 10, 11, 12, 13, 14, 15 * 16 : * 17 : 0, 1, 2, 3, 4, 5, 6, 7, 8 * 18 : 16, 17, 18 * 19 : 9, 10, 11, 12, 13, 14, 15 * 20 : 19, 20 This graph has the following strongly connected components: P_1: !plus#(0(X), 0(Y)) =#> !plus#(X, Y) !plus#(0(X), 1(Y)) =#> !plus#(X, Y) !plus#(1(X), 0(Y)) =#> !plus#(X, Y) !plus#(1(X), 1(Y)) =#> !plus#(!plus(X, Y), 1(!940)) !plus#(1(X), 1(Y)) =#> !plus#(X, Y) !plus#(!plus(X, Y), Z) =#> !plus#(X, !plus(Y, Z)) !plus#(!plus(X, Y), Z) =#> !plus#(Y, Z) P_2: !times#(0(X), Y) =#> !times#(X, Y) !times#(1(X), Y) =#> !times#(X, Y) !times#(!times(X, Y), Z) =#> !times#(X, !times(Y, Z)) !times#(!times(X, Y), Z) =#> !times#(Y, Z) P_3: sum#(cons(X, Y)) =#> sum#(Y) P_4: prod#(cons(X, Y)) =#> prod#(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), (P_2, R_0, m, f), (P_3, R_0, m, f) and (P_4, R_0, m, f). Thus, the original system is terminating if each of (P_1, R_0, minimal, formative), (P_2, R_0, minimal, formative), (P_3, R_0, minimal, formative) and (P_4, R_0, minimal, formative) is finite. We consider the dependency pair problem (P_4, R_0, minimal, formative). We apply the subterm criterion with the following projection function: nu(prod#) = 1 Thus, we can orient the dependency pairs as follows: nu(prod#(cons(X, Y))) = cons(X, Y) |> Y = nu(prod#(Y)) By [Kop12, Thm. 7.35], we may replace a dependency pair problem (P_4, R_0, minimal, f) by ({}, R_0, minimal, f). By the empty set processor [Kop12, Thm. 7.15] this problem may be immediately removed. Thus, the original system is terminating if each of (P_1, R_0, minimal, formative), (P_2, R_0, minimal, formative) and (P_3, R_0, minimal, formative) is finite. We consider the dependency pair problem (P_3, R_0, minimal, formative). We apply the subterm criterion with the following projection function: nu(sum#) = 1 Thus, we can orient the dependency pairs as follows: nu(sum#(cons(X, Y))) = cons(X, Y) |> Y = nu(sum#(Y)) By [Kop12, Thm. 7.35], we may replace a dependency pair problem (P_3, R_0, minimal, f) by ({}, R_0, minimal, f). By the empty set processor [Kop12, Thm. 7.15] this problem may be immediately removed. Thus, the original system is terminating if each of (P_1, R_0, minimal, formative) and (P_2, R_0, minimal, formative) is finite. We consider the dependency pair problem (P_2, R_0, minimal, formative). We apply the subterm criterion with the following projection function: nu(!times#) = 1 Thus, we can orient the dependency pairs as follows: nu(!times#(0(X), Y)) = 0(X) |> X = nu(!times#(X, Y)) nu(!times#(1(X), Y)) = 1(X) |> X = nu(!times#(X, Y)) nu(!times#(!times(X, Y), Z)) = !times(X, Y) |> X = nu(!times#(X, !times(Y, Z))) nu(!times#(!times(X, Y), Z)) = !times(X, Y) |> Y = nu(!times#(Y, Z)) By [Kop12, Thm. 7.35], we may replace a dependency pair problem (P_2, R_0, minimal, f) by ({}, R_0, minimal, f). 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, minimal, formative) is finite. We consider the dependency pair problem (P_1, R_0, minimal, formative). We will use the reduction pair processor with usable rules [Kop12, Thm. 7.44]. The usable rules of (P_1, R_0) are: 0(!940) => !940 !plus(X, !940) => X !plus(!940, X) => X !plus(0(X), 0(Y)) => 0(!plus(X, Y)) !plus(0(X), 1(Y)) => 1(!plus(X, Y)) !plus(1(X), 0(Y)) => 1(!plus(X, Y)) !plus(1(X), 1(Y)) => 0(!plus(!plus(X, Y), 1(!940))) !plus(!plus(X, Y), Z) => !plus(X, !plus(Y, Z)) It suffices to find a standard reduction pair [Kop12, Def. 6.69]. Thus, we must orient: !plus#(0(X), 0(Y)) >? !plus#(X, Y) !plus#(0(X), 1(Y)) >? !plus#(X, Y) !plus#(1(X), 0(Y)) >? !plus#(X, Y) !plus#(1(X), 1(Y)) >? !plus#(!plus(X, Y), 1(!940)) !plus#(1(X), 1(Y)) >? !plus#(X, Y) !plus#(!plus(X, Y), Z) >? !plus#(X, !plus(Y, Z)) !plus#(!plus(X, Y), Z) >? !plus#(Y, Z) 0(!940) >= !940 !plus(X, !940) >= X !plus(!940, X) >= X !plus(0(X), 0(Y)) >= 0(!plus(X, Y)) !plus(0(X), 1(Y)) >= 1(!plus(X, Y)) !plus(1(X), 0(Y)) >= 1(!plus(X, Y)) !plus(1(X), 1(Y)) >= 0(!plus(!plus(X, Y), 1(!940))) !plus(!plus(X, Y), Z) >= !plus(X, !plus(Y, Z)) We orient these requirements with a polynomial interpretation in the natural numbers. The following interpretation satisfies the requirements: !940 = 0 !plus = \y0y1.y0 + y1 !plus# = \y0y1.2y0 + 2y1 0 = \y0.2y0 1 = \y0.2 + 2y0 Using this interpretation, the requirements translate to: [[!plus#(0(_x0), 0(_x1))]] = 4x0 + 4x1 >= 2x0 + 2x1 = [[!plus#(_x0, _x1)]] [[!plus#(0(_x0), 1(_x1))]] = 4 + 4x0 + 4x1 > 2x0 + 2x1 = [[!plus#(_x0, _x1)]] [[!plus#(1(_x0), 0(_x1))]] = 4 + 4x0 + 4x1 > 2x0 + 2x1 = [[!plus#(_x0, _x1)]] [[!plus#(1(_x0), 1(_x1))]] = 8 + 4x0 + 4x1 > 4 + 2x0 + 2x1 = [[!plus#(!plus(_x0, _x1), 1(!940))]] [[!plus#(1(_x0), 1(_x1))]] = 8 + 4x0 + 4x1 > 2x0 + 2x1 = [[!plus#(_x0, _x1)]] [[!plus#(!plus(_x0, _x1), _x2)]] = 2x0 + 2x1 + 2x2 >= 2x0 + 2x1 + 2x2 = [[!plus#(_x0, !plus(_x1, _x2))]] [[!plus#(!plus(_x0, _x1), _x2)]] = 2x0 + 2x1 + 2x2 >= 2x1 + 2x2 = [[!plus#(_x1, _x2)]] [[0(!940)]] = 0 >= 0 = [[!940]] [[!plus(_x0, !940)]] = x0 >= x0 = [[_x0]] [[!plus(!940, _x0)]] = x0 >= x0 = [[_x0]] [[!plus(0(_x0), 0(_x1))]] = 2x0 + 2x1 >= 2x0 + 2x1 = [[0(!plus(_x0, _x1))]] [[!plus(0(_x0), 1(_x1))]] = 2 + 2x0 + 2x1 >= 2 + 2x0 + 2x1 = [[1(!plus(_x0, _x1))]] [[!plus(1(_x0), 0(_x1))]] = 2 + 2x0 + 2x1 >= 2 + 2x0 + 2x1 = [[1(!plus(_x0, _x1))]] [[!plus(1(_x0), 1(_x1))]] = 4 + 2x0 + 2x1 >= 4 + 2x0 + 2x1 = [[0(!plus(!plus(_x0, _x1), 1(!940)))]] [[!plus(!plus(_x0, _x1), _x2)]] = x0 + x1 + x2 >= x0 + x1 + x2 = [[!plus(_x0, !plus(_x1, _x2))]] By the observations in [Kop12, Sec. 6.6], this reduction pair suffices; we may thus replace the dependency pair problem (P_1, R_0, minimal, formative) by (P_5, R_0, minimal, formative), where P_5 consists of: !plus#(0(X), 0(Y)) =#> !plus#(X, Y) !plus#(!plus(X, Y), Z) =#> !plus#(X, !plus(Y, Z)) !plus#(!plus(X, Y), Z) =#> !plus#(Y, Z) Thus, the original system is terminating if (P_5, R_0, minimal, formative) is finite. We consider the dependency pair problem (P_5, R_0, minimal, formative). We apply the subterm criterion with the following projection function: nu(!plus#) = 1 Thus, we can orient the dependency pairs as follows: nu(!plus#(0(X), 0(Y))) = 0(X) |> X = nu(!plus#(X, Y)) nu(!plus#(!plus(X, Y), Z)) = !plus(X, Y) |> X = nu(!plus#(X, !plus(Y, Z))) nu(!plus#(!plus(X, Y), Z)) = !plus(X, Y) |> Y = nu(!plus#(Y, Z)) By [Kop12, Thm. 7.35], we may replace a dependency pair problem (P_5, R_0, minimal, f) by ({}, R_0, minimal, 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 +++ [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.