theory Ackermann imports"HOL-Library.Multiset_Order""HOL-Library.Product_Lexorder" begin
text‹ This theory investigates a stack-based implementation of Ackermann's function. Let's recall the traditional definition, as modified by Péter Rózsa and Raphael Robinson. › fun ack :: "[nat, nat] ==> nat" where "ack 0 n = Suc n"
| "ack (Suc m) 0 = ack m 1"
| "ack (Suc m) (Suc n) = ack m (ack (Suc m) n)"
subsection‹Example of proving termination by reasoning about the domain›
text‹The stack-based version uses lists.›
function (domintros) ackloop :: "nat list ==> nat" where "ackloop (n # 0 # l) = ackloop (Suc n # l)"
| "ackloop (0 # Suc m # l) = ackloop (1 # m # l)"
| "ackloop (Suc n # Suc m # l) = ackloop (n # Suc m # m # l)"
| "ackloop [m] = m"
| "ackloop [] = 0" by pat_completeness auto
text‹ The key task is to prove termination. In the first recursive call, the head of the list gets bigger while the list gets shorter, suggesting that the length of the list should be the primary termination criterion. But in the third recursive call, the list gets longer. The idea of trying a multiset-based termination argument is frustrated by the second recursive call when ‹m = 0›: the list elements are simply permuted. Fortunately, the function definition package allows us to define a function and only later identify its domain of termination. Instead, it makes all the recursion equations conditional on satisfying the function's domain predicate. Here we shall eventually be able to show that the predicate is always satisfied. ›
text‹ Termination is trivial if the length of the list is less then two. The following lemma is the key to proving termination for longer lists. › lemma"ackloop_dom (ack m n # l) ==> ackloop_dom (n # m # l)" proof (induction m arbitrary: n l) case 0 thenshow ?case by auto next case (Suc m) show ?case using Suc.prems by (induction n arbitrary: l) (simp_all add: Suc) qed
text‹ The proof above (which actually is unused) can be expressed concisely as follows. › lemma ackloop_dom_longer: "ackloop_dom (ack m n # l) ==> ackloop_dom (n # m # l)" by (induction m n arbitrary: l rule: ack.induct) auto
text‹ This function codifies what @{term ackloop} is designed to do. Proving the two functions equivalent also shows that @{term ackloop} can be used to compute Ackermann's function. › fun acklist :: "nat list ==> nat" where "acklist (n#m#l) = acklist (ack m n # l)"
| "acklist [m] = m"
| "acklist [] = 0"
text‹The induction rule for @{term acklist} is @{thm [display] acklist.induct[no_vars]}.›
lemma ackloop_dom: "ackloop_dom l" by (induction l rule: acklist.induct) (auto simp: ackloop_dom_longer)
termination ackloop by (simp add: ackloop_dom)
text‹ This result is trivial even by inspection of the function definitions (which faithfully follow the definition of Ackermann's function). All that we needed was termination. › lemma ackloop_acklist: "ackloop l = acklist l" by (induction l rule: ackloop.induct) auto
theorem ack: "ack m n = ackloop [n,m]" by (simp add: ackloop_acklist)
subsection‹Example of proving termination using a multiset ordering›
text‹ This termination proof uses the argument from Nachum Dershowitz and Zohar Manna. Proving termination with multiset orderings. Communications of the ACM 22 (8) 1979, 465--476. ›
text‹ Setting up the termination proof. Note that Dershowitz had @{term z} as a global variable. The top two stack elements are treated differently from the rest. › fun ack_mset :: "nat list ==> (nat×nat) multiset" where "ack_mset [] = {#}"
| "ack_mset [x] = {#}"
| "ack_mset (z#y#l) = mset ((y,z) # map (λx. (Suc x, 0)) l)"
lemma case1: "ack_mset (Suc n # l) < add_mset (0,n) {# (Suc x, 0). x ∈# mset l #}" proof (cases l) case (Cons m list) have"{#(m, Suc n)#} < {#(Suc m, 0)#}" by auto alsohave"…≤ {#(Suc m, 0), (0,n)#}" by auto finallyshow ?thesis by (simp add: Cons) next case Nil thenshow ?thesis by auto qed
text‹ The stack-based version again. We need a fresh copy because we've already proved the termination of @{term ackloop}. › function Ackloop :: "nat list ==> nat" where "Ackloop (n # 0 # l) = Ackloop (Suc n # l)"
| "Ackloop (0 # Suc m # l) = Ackloop (1 # m # l)"
| "Ackloop (Suc n # Suc m # l) = Ackloop (n # Suc m # m # l)"
| "Ackloop [m] = m"
| "Ackloop [] = 0" by pat_completeness auto
text‹ In each recursive call, the function @{term ack_mset} decreases according to the multiset ordering. › termination by (relation "inv_image {(x,y). x) (auto simp: wf case1)
text‹ Another shortcut compared with before: equivalence follows directly from this lemma. › lemma Ackloop_ack: "Ackloop (n # m # l) = Ackloop (ack m n # l)" by (induction m n arbitrary: l rule: ack.induct) auto
theorem"ack m n = Ackloop [n,m]" by (simp add: Ackloop_ack)
end
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