Tautology (logic)
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In logic, a tautology (from the Greek word ταυτολογία) is a formula or assertion that is true in every possible interpretation. An example of a tautology is "(x equals y) or (x does not equal y)". A less abstract example is "The ball is green or the ball is not green". It is either one or the other  it cannot be both and there are no other possibilities.
Philosopher Ludwig Wittgenstein first applied the term to redundancies of propositional logic in 1921. (It had been used earlier to refer to rhetorical tautologies, and continues to be used in that alternative sense.) A formula is satisfiable if it is true under at least one interpretation, and thus a tautology is a formula whose negation is unsatisfiable. Unsatisfiable statements, both through negation and affirmation, are known formally as contradictions. A formula that is neither a tautology nor a contradiction is said to be logically contingent. Such a formula can be made either true or false based on the values assigned to its propositional variables. The double turnstile notation is used to indicate that S is a tautology. Tautology is sometimes symbolized by "Vpq", and contradiction by "Opq". The tee symbol is sometimes used to denote an arbitrary tautology, with the dual symbol (falsum) representing an arbitrary contradiction; in any symbolism, a tautology may be substituted for the truth value "true," as symbolized, for instance, by "1."
Tautologies are a key concept in propositional logic, where a tautology is defined as a propositional formula that is true under any possible Boolean valuation of its propositional variables. A key property of tautologies in propositional logic is that an effective method exists for testing whether a given formula is always satisfied (or, equivalently, whether its negation is unsatisfiable).
The definition of tautology can be extended to sentences in predicate logic, which may contain quantifiers, unlike sentences of propositional logic. In propositional logic, there is no distinction between a tautology and a logically valid formula. In the context of predicate logic, many authors define a tautology to be a sentence that can be obtained by taking a tautology of propositional logic and uniformly replacing each propositional variable by a firstorder formula (one formula per propositional variable). The set of such formulas is a proper subset of the set of logically valid sentences of predicate logic (which are the sentences that are true in every model).
Contents
 1 History
 2 Background
 3 Definition and examples
 4 Verifying tautologies
 5 Tautological implication
 6 Substitution
 7 Semantic completeness and soundness
 8 Efficient verification and the Boolean satisfiability problem
 9 Tautologies versus validities in firstorder logic
 10 In natural language
 11 See also
 12 References
 13 Further reading
 14 External links
History
The word tautology was used by the ancient Greeks to describe a statement that was asserted to be true merely by virtue of saying the same thing twice, a pejorative meaning that is still used for rhetorical tautologies. Between 1800 and 1940, the word gained new meaning in logic, and is currently used in mathematical logic to denote a certain type of propositional formula, without the pejorative connotations it originally possessed.
In 1800, Immanuel Kant wrote in his book Logic:
 "The identity of concepts in analytical judgments can be either explicit (explicita) or nonexplicit (implicita). In the former case analytic propositions are tautological."
Here analytic proposition refers to an analytic truth, a statement in natural language that is true solely because of the terms involved.
In 1884, Gottlob Frege proposed in his Grundlagen that a truth is analytic exactly if it can be derived using logic. But he maintained a distinction between analytic truths (those true based only on the meanings of their terms) and tautologies (statements devoid of content).
In 1921, in his Tractatus LogicoPhilosophicus, Ludwig Wittgenstein proposed that statements that can be deduced by logical deduction are tautological (empty of meaning) as well as being analytic truths. Henri Poincaré had made similar remarks in Science and Hypothesis in 1905. Although Bertrand Russell at first argued against these remarks by Wittgenstein and Poincaré, claiming that mathematical truths were not only nontautologous but were synthetic, he later spoke in favor of them in 1918:
 "Everything that is a proposition of logic has got to be in some sense or the other like a tautology. It has got to be something that has some peculiar quality, which I do not know how to define, that belongs to logical propositions but not to others."
Here logical proposition refers to a proposition that is provable using the laws of logic.
During the 1930s, the formalization of the semantics of propositional logic in terms of truth assignments was developed. The term tautology began to be applied to those propositional formulas that are true regardless of the truth or falsity of their propositional variables. Some early books on logic (such as Symbolic Logic by C. I. Lewis and Langford, 1932) used the term for any proposition (in any formal logic) that is universally valid. It is common in presentations after this (such as Stephen Kleene 1967 and Herbert Enderton 2002) to use tautology to refer to a logically valid propositional formula, but to maintain a distinction between tautology and logically valid in the context of firstorder logic (see below).
Background
Propositional logic begins with propositional variables, atomic units that represent concrete propositions. A formula consists of propositional variables connected by logical connectives, built up in such a way that the truth of the overall formula can be deduced from the truth or falsity of each variable. A valuation is a function that assigns each propositional variable either T (for truth) or F (for falsity). So, for example, using the propositional variables A and B, the binary connectives and representing disjunction and conjunction respectively, and the unary connective representing negation, the following formula can be obtained::. A valuation here must assign to each of A and B either T or F. But no matter how this assignment is made, the overall formula will come out true. For if the first conjunction is not satisfied by a particular valuation, then one of A and B is assigned F, which will cause the corresponding later disjunct to be T.
Definition and examples
A formula of propositional logic is a tautology if the formula itself is always true regardless of which valuation is used for the propositional variables.
There are infinitely many tautologies. Examples include:
 ("A or not A"), the law of the excluded middle. This formula has only one propositional variable, A. Any valuation for this formula must, by definition, assign A one of the truth values true or false, and assign A the other truth value.
 ("if A implies B, then notB implies notA", and vice versa), which expresses the law of contraposition.
 ("if notA implies both B and its negation notB, then notA must be false, then A must be true"), which is the principle known as reductio ad absurdum.
 ("if not both A and B, then notA or notB", and vice versa), which is known as De Morgan's law.
 ("if A implies B and B implies C, then A implies C"), which is the principle known as syllogism.
 ("if at least one of A or B is true, and each implies C, then C must be true as well"), which is the principle known as proof by cases.
A minimal tautology is a tautology that is not the instance of a shorter tautology.
 is a tautology, but not a minimal one, because it is an instantiation of .
Verifying tautologies
The problem of determining whether a formula is a tautology is fundamental in propositional logic. If there are n variables occurring in a formula then there are 2^{n} distinct valuations for the formula. Therefore, the task of determining whether or not the formula is a tautology is a finite, mechanical one: one need only evaluate the truth value of the formula under each of its possible valuations. One algorithmic method for verifying that every valuation causes this sentence to be true is to make a truth table that includes every possible valuation.
For example, consider the formula
There are 8 possible valuations for the propositional variables A, B, C, represented by the first three columns of the following table. The remaining columns show the truth of subformulas of the formula above, culminating in a column showing the truth value of the original formula under each valuation.
T  T  T  T  T  T  T  T 
T  T  F  T  F  F  F  T 
T  F  T  F  T  T  T  T 
T  F  F  F  T  T  T  T 
F  T  T  F  T  T  T  T 
F  T  F  F  T  F  T  T 
F  F  T  F  T  T  T  T 
F  F  F  F  T  T  T  T 
Because each row of the final column shows T, the sentence in question is verified to be a tautology.
It is also possible to define a deductive system (proof system) for propositional logic, as a simpler variant of the deductive systems employed for firstorder logic (see Kleene 1967, Sec 1.9 for one such system). A proof of a tautology in an appropriate deduction system may be much shorter than a complete truth table (a formula with n propositional variables requires a truth table with 2^{n} lines, which quickly becomes infeasible as n increases). Proof systems are also required for the study of intuitionistic propositional logic, in which the method of truth tables cannot be employed because the law of the excluded middle is not assumed.
Tautological implication
A formula R is said to tautologically imply a formula S if every valuation that causes R to be true also causes S to be true. This situation is denoted . It is equivalent to the formula being a tautology (Kleene 1967 p. 27).
For example, let S be . Then S is not a tautology, because any valuation that makes A false will make S false. But any valuation that makes A true will make S true, because is a tautology. Let R be the formula . Then , because any valuation satisfying R makes A true and thus makes S true.
It follows from the definition that if a formula R is a contradiction then R tautologically implies every formula, because there is no truth valuation that causes R to be true and so the definition of tautological implication is trivially satisfied. Similarly, if S is a tautology then S is tautologically implied by every formula.
Substitution
There is a general procedure, the substitution rule, that allows additional tautologies to be constructed from a given tautology (Kleene 1967 sec. 3). Suppose that S is a tautology and for each propositional variable A in S a fixed sentence S_{A} is chosen. Then the sentence obtained by replacing each variable A in S with the corresponding sentence S_{A} is also a tautology.
For example, let S be the tautology
 .
Let S_{A} be and let S_{B} be . It follows from the substitution rule that the sentence
is a tautology, too. In turn, a tautology may be substituted for the truth value "true".
Semantic completeness and soundness
An axiomatic system is complete if every tautology is a theorem (derivable from axioms). An axiomatic system is sound if every theorem is a tautology.
Efficient verification and the Boolean satisfiability problem
The problem of constructing practical algorithms to determine whether sentences with large numbers of propositional variables are tautologies is an area of contemporary research in the area of automated theorem proving.
The method of truth tables illustrated above is provably correct – the truth table for a tautology will end in a column with only T, while the truth table for a sentence that is not a tautology will contain a row whose final column is F, and the valuation corresponding to that row is a valuation that does not satisfy the sentence being tested. This method for verifying tautologies is an effective procedure, which means that given unlimited computational resources it can always be used to mechanistically determine whether a sentence is a tautology. This means, in particular, the set of tautologies over a fixed finite or countable alphabet is a decidable set.
As an efficient procedure, however, truth tables are constrained by the fact that the number of valuations that must be checked increases as 2^{k}, where k is the number of variables in the formula. This exponential growth in the computation length renders the truth table method useless for formulas with thousands of propositional variables, as contemporary computing hardware cannot execute the algorithm in a feasible time period.
The problem of determining whether there is any valuation that makes a formula true is the Boolean satisfiability problem; the problem of checking tautologies is equivalent to this problem, because verifying that a sentence S is a tautology is equivalent to verifying that there is no valuation satisfying . It is known that the Boolean satisfiability problem is NP complete, and widely believed that there is no polynomialtime algorithm that can perform it. Consequently tautology is coNPcomplete. Current research focuses on finding algorithms that perform well on special classes of formulas, or terminate quickly on average even though some inputs may cause them to take much longer.
Tautologies versus validities in firstorder logic
The fundamental definition of a tautology is in the context of propositional logic. The definition can be extended, however, to sentences in firstorder logic (see Enderton (2002, p. 114) and Kleene (1967 secs. 17–18)). These sentences may contain quantifiers, unlike sentences of propositional logic. In the context of firstorder logic, a distinction is maintained between logical validities, sentences that are true in every model, and tautologies, which are a proper subset of the firstorder logical validities. In the context of propositional logic, these two terms coincide.
A tautology in firstorder logic is a sentence that can be obtained by taking a tautology of propositional logic and uniformly replacing each propositional variable by a firstorder formula (one formula per propositional variable). For example, because is a tautology of propositional logic, is a tautology in first order logic. Similarly, in a firstorder language with a unary relation symbols R,S,T, the following sentence is a tautology:
It is obtained by replacing with , with , and with in the propositional tautology .
Not all logical validities are tautologies in firstorder logic. For example, the sentence
is true in any firstorder interpretation, but it corresponds to the propositional sentence which is not a tautology of propositional logic.
In natural language
In natural languages, some apparent tautologies may have nontautological meanings in practice. In English, "it is what it is" is used to mean 'there is no way of changing it'.^{[1]} In Tamil, vantaalum varuvaan literally means 'if he comes, he will come', but really means 'he just may come'.^{[2]}
See also
Normal forms
Related logical topics


References
 ^ Nathan J. Robinson, "The Uses of Platitudes", Current Affairs, August 23, 2017 online
 ^ Brown, Penelope; Levinson, Stephen C. (1987) [1978]. Politeness: Some Universals in Language Usage. Studies in Interactional Sociolinguistics. 4. p. 166. ISBN 0521308623.
Further reading
 Bocheński, J. M. (1959) Précis of Mathematical Logic, translated from the French and German editions by Otto Bird, Dordrecht, South Holland: D. Reidel.
 Enderton, H. B. (2002) A Mathematical Introduction to Logic, Harcourt/Academic Press, ISBN 0122384520.
 Kleene, S. C. (1967) Mathematical Logic, reprinted 2002, Dover Publications, ISBN 0486425339.
 Reichenbach, H. (1947). Elements of Symbolic Logic, reprinted 1980, Dover, ISBN 0486240045
 Wittgenstein, L. (1921). "Logischphilosophiche Abhandlung", Annalen der Naturphilosophie (Leipzig), v. 14, pp. 185–262, reprinted in English translation as Tractatus logicophilosophicus, New York City and London, 1922.
External links
 Hazewinkel, Michiel, ed. (2001) [1994], "Tautology", Encyclopedia of Mathematics, Springer Science+Business Media B.V. / Kluwer Academic Publishers, ISBN 9781556080104
 Weisstein, Eric W. "Tautology". MathWorld.