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2.3.3: Natural Deduction

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    121678
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    Natural deduction is a derivation system intended to mirror actual reasoning (especially the kind of regimented reasoning employed by mathematicians). Actual reasoning proceeds by a number of “natural” patterns. For instance, proof by cases allows us to establish a conclusion on the basis of a disjunctive premise, by establishing that the conclusion follows from either of the disjuncts. Indirect proof allows us to establish a conclusion by showing that its negation leads to a contradiction. Conditional proof establishes a conditional claim “if …then …” by showing that the consequent follows from the antecedent. Natural deduction is a formalization of some of these natural inferences. Each of the logical connectives and quantifiers comes with two rules, an introduction and an elimination rule, and they each correspond to one such natural inference pattern. For instance, \(\Intro{\lif}\) corresponds to conditional proof, and \(\Elim{\lor}\) to proof by cases. A particularly simple rule is \(\Elim{\land}\) which allows the inference from \(A \land B\) to \(A\) (or \(B\)).

    One feature that distinguishes natural deduction from other derivation systems is its use of assumptions. A derivation in natural deduction is a tree of formulas. A single formula stands at the root of the tree of formulas, and the “leaves” of the tree are formulas from which the conclusion is derived. In natural deduction, some leaf formulas play a role inside the derivation but are “used up” by the time the derivation reaches the conclusion. This corresponds to the practice, in actual reasoning, of introducing hypotheses which only remain in effect for a short while. For instance, in a proof by cases, we assume the truth of each of the disjuncts; in conditional proof, we assume the truth of the antecedent; in indirect proof, we assume the truth of the negation of the conclusion. This way of introducing hypothetical assumptions and then doing away with them in the service of establishing an intermediate step is a hallmark of natural deduction. The formulas at the leaves of a natural deduction derivation are called assumptions, and some of the rules of inference may “discharge” them. For instance, if we have a derivation of \(B\) from some assumptions which include \(A\), then the \(\Intro{\lif}\) rule allows us to infer \(A \lif B\) and discharge any assumption of the form \(A\). (To keep track of which assumptions are discharged at which inferences, we label the inference and the assumptions it discharges with a number.) The assumptions that remain undischarged at the end of the derivation are together sufficient for the truth of the conclusion, and so a derivation establishes that its undischarged assumptions entail its conclusion.

    The relation \(\Gamma \Proves A\) based on natural deduction holds iff there is a derivation in which \(A\) is the last sentence in the tree, and every leaf which is undischarged is in \(\Gamma\). \(A\) is a theorem in natural deduction iff there is a derivation in which \(A\) is the last sentence and all assumptions are discharged. For instance, here is a derivation that shows that \(\Proves (A \land B) \lif A\):

    7.3.1.png

    The label \(1\) indicates that the assumption \(A \land B\) is discharged at the \(\Intro{\lif}\) inference.

    A set \(\Gamma\) is inconsistent iff \(\Gamma \Proves \lfalse\) in natural deduction. The rule \(\FalseInt{}\) makes it so that from an inconsistent set, any sentence can be derived.

    Natural deduction systems were developed by Gerhard Gentzen and Stanisław Jaśkowski in the 1930s, and later developed by Dag Prawitz and Frederic Fitch. Because its inferences mirror natural methods of proof, it is favored by philosophers. The versions developed by Fitch are often used in introductory logic textbooks. In the philosophy of logic, the rules of natural deduction have sometimes been taken to give the meanings of the logical operators (“proof-theoretic semantics”).


    This page titled 2.3.3: Natural Deduction is shared under a CC BY license and was authored, remixed, and/or curated by Richard Zach et al. (Open Logic Project) .

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