text‹ We consider Peirce's Law: ‹((A ⟶ B) ⟶ A) ⟶ A›. This is an inherently non-intuitionistic statement, so its proof will certainly involve some form of classical contradiction. The first proof is again a well-balanced combination of plain backward and forward reasoning. The actual classical step is where the negated goal may be introduced as additional assumption. This eventually leads to a contradiction.🪙‹The rule involved there is negation elimination; it holds in intuitionistic logic as well.›\ theorem "((A ⟶ B) ⟶ A) ⟶ A" proof assume "(A ⟶ B) ⟶ A" show A proof (rule classical) assume "¬ A" have "A ⟶ B" proof assume A with ‹¬ A›show B by contradiction qed with ‹(A ⟶ B) ⟶ A›show A .. qed qed text ‹ In the subsequent version the reasoning is rearranged by means of ``weak assumptions'' (as introduced by 🪙‹presume›). Before assuming the negated goal ‹¬ A›, its intended consequence ‹A ⟶ B› is put into place in order to solve the main problem. Nevertheless, we do not get anything for free, but have to establish ‹A ⟶ B›later on. The overall effect is that of a logical 🪙‹cut›. Technically speaking, whenever some goal is solved by 🪙‹show›in the context of weak assumptions then the latter give rise to new subgoals, which may be established separately. In contrast, strong assumptions (as introduced by 🪙‹assume›) are solved immediately. › theorem "((A ⟶ B) ⟶ A) ⟶ A" proof assume "(A ⟶ B) ⟶ A" show A proof (rule classical) presume "A ⟶ B" with ‹(A ⟶ B) ⟶ A›show A .. next assume "¬ A" show "A ⟶ B" proof assume A with ‹¬ A›show B by contradiction qed qed qed text ‹ Note that the goals stemming from weak assumptions may be even left until qed time, where they get eventually solved ``by assumption'' as well. In that case there is really no fundamental difference between the two kinds of assumptions, apart from the order of reducing the individual parts of the proof configuration. Nevertheless, the ``strong'' mode of plain assumptions is quite important in practice to achieve robustness of proof text interpretation. By forcing both the conclusion 🪙‹and›the assumptions to unify with the pending goal to be solved, goal selection becomes quite deterministic. For example, decomposition with rules of the ``case-analysis'' type usually gives rise to several goals that only differ in there local contexts. With strong assumptions these may be still solved in any order in a predictable way, while weak ones would quickly lead to great confusion, eventually demanding even some backtracking. › end
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