modus tollens
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In
propositional logic Propositional calculus is a branch of logic. It is also called propositional logic, statement logic, sentential calculus, sentential logic, or sometimes zeroth-order logic. It deals with propositions (which can be true or false) and relations b ...
, ''modus tollens'' () (MT), also known as ''modus tollendo tollens'' (
Latin Latin (, or , ) is a classical language belonging to the Italic branch of the Indo-European languages. Latin was originally a dialect spoken in the lower Tiber area (then known as Latium) around present-day Rome, but through the power of the ...
for "method of removing by taking away") and denying the consequent, is a
deductive Deductive reasoning is the mental process of drawing deductive inferences. An inference is deductively valid if its conclusion follows logically from its premises, i.e. if it is impossible for the premises to be true and the conclusion to be fals ...
argument form and a rule of inference. ''Modus tollens'' takes the form of "If P, then Q. Not Q. Therefore, not P." It is an application of the general truth that if a statement is true, then so is its
contrapositive In logic and mathematics, contraposition refers to the inference of going from a conditional statement into its logically equivalent contrapositive, and an associated proof method known as proof by contraposition. The contrapositive of a statem ...
. The form shows that
inference Inferences are steps in reasoning, moving from premises to logical consequences; etymologically, the word '' infer'' means to "carry forward". Inference is theoretically traditionally divided into deduction and induction, a distinction that in ...
from ''P implies Q'' to ''the negation of Q implies the negation of P'' is a valid argument. The history of the inference rule ''modus tollens'' goes back to antiquity. The first to explicitly describe the argument form ''modus tollens'' was
Theophrastus Theophrastus (; grc-gre, Θεόφραστος ; c. 371c. 287 BC), a Greek philosopher and the successor to Aristotle in the Peripatetic school. He was a native of Eresos in Lesbos.Gavin Hardy and Laurence Totelin, ''Ancient Botany'', Routledge ...
. ''Modus tollens'' is closely related to '' modus ponens''. There are two similar, but invalid, forms of argument:
affirming the consequent Affirming the consequent, sometimes called converse error, fallacy of the converse, or confusion of necessity and sufficiency, is a formal fallacy of taking a true conditional statement (e.g., "If the lamp were broken, then the room would be dar ...
and
denying the antecedent Denying the antecedent, sometimes also called inverse error or fallacy of the inverse, is a formal fallacy of inferring the inverse from the original statement. It is committed by reasoning in the form: :If ''P'', then ''Q''. :Therefore, if not ...
. See also
contraposition In logic and mathematics, contraposition refers to the inference of going from a conditional statement into its logically equivalent contrapositive, and an associated proof method known as proof by contraposition. The contrapositive of a stateme ...
and
proof by contrapositive In logic, the contrapositive of a conditional statement is formed by negating both terms and reversing the direction of inference. More specifically, the contrapositive of the statement "if ''A'', then ''B''" is "if not ''B'', then not ''A''." A st ...
.


Explanation

The form of a ''modus tollens'' argument resembles a syllogism, with two premises and a conclusion: :If ''P'', then ''Q''. :Not ''Q''. :Therefore, not ''P''. The first premise is a conditional ("if-then") claim, such as ''P'' implies ''Q''. The second premise is an assertion that ''Q'', the
consequent A consequent is the second half of a hypothetical proposition. In the standard form of such a proposition, it is the part that follows "then". In an implication, if ''P'' implies ''Q'', then ''P'' is called the antecedent and ''Q'' is called ...
of the conditional claim, is not the case. From these two premises it can be logically concluded that ''P'', the antecedent of the conditional claim, is also not the case. For example: :If the dog detects an intruder, the dog will bark. :The dog did not bark. :Therefore, no intruder was detected by the dog. Supposing that the premises are both true (the dog will bark if it detects an intruder, and does indeed not bark), it follows that no intruder has been detected. This is a valid argument since it is not possible for the conclusion to be false if the premises are true. (It is conceivable that there may have been an intruder that the dog did not detect, but that does not invalidate the argument; the first premise is "if the dog ''detects'' an intruder". The thing of importance is that the dog detects or does not detect an intruder, not whether there is one.) Another example: :If I am the axe murderer, then I can use an axe. :I cannot use an axe. :Therefore, I am not the axe murderer. Another example: :If Rex is a chicken, then he is a bird. :Rex is not a bird. :Therefore, Rex is not a chicken.


Relation to ''modus ponens''

Every use of ''modus tollens'' can be converted to a use of '' modus ponens'' and one use of transposition to the premise which is a material implication. For example: :If ''P'', then ''Q''. (premise – material implication) :If not ''Q'', then not ''P''. (derived by transposition) :Not ''Q'' . (premise) :Therefore, not ''P''. (derived by ''modus ponens'') Likewise, every use of ''modus ponens'' can be converted to a use of ''modus tollens'' and transposition.


Formal notation

The ''modus tollens'' rule can be stated formally as: :\frac where P \to Q stands for the statement "P implies Q". \neg Q stands for "it is not the case that Q" (or in brief "not Q"). Then, whenever "P \to Q" and "\neg Q" each appear by themselves as a line of a proof, then "\neg P" can validly be placed on a subsequent line. The ''modus tollens'' rule may be written in
sequent In mathematical logic, a sequent is a very general kind of conditional assertion. : A_1,\,\dots,A_m \,\vdash\, B_1,\,\dots,B_n. A sequent may have any number ''m'' of condition formulas ''Ai'' (called " antecedents") and any number ''n'' of ass ...
notation: :P\to Q, \neg Q \vdash \neg P where \vdash is a
metalogic Metalogic is the study of the metatheory of logic. Whereas ''logic'' studies how logical systems can be used to construct valid and sound arguments, metalogic studies the properties of logical systems.Harry GenslerIntroduction to Logic Routledge, ...
al symbol meaning that \neg P is a
syntactic consequence Logical consequence (also entailment) is a fundamental concept in logic, which describes the relationship between statement (logic), statements that hold true when one statement logically ''follows from'' one or more statements. A Validity (lo ...
of P \to Q and \neg Q in some
logical system A formal system is an abstract structure used for inferring theorems from axioms according to a set of rules. These rules, which are used for carrying out the inference of theorems from axioms, are the logical calculus of the formal system. A form ...
; or as the statement of a functional tautology or
theorem In mathematics, a theorem is a statement that has been proved, or can be proved. The ''proof'' of a theorem is a logical argument that uses the inference rules of a deductive system to establish that the theorem is a logical consequence of th ...
of propositional logic: :((P \to Q) \land \neg Q) \to \neg P where P and Q are propositions expressed in some
formal system A formal system is an abstract structure used for inferring theorems from axioms according to a set of rules. These rules, which are used for carrying out the inference of theorems from axioms, are the logical calculus of the formal system. A form ...
; or including assumptions: :\frac though since the rule does not change the set of assumptions, this is not strictly necessary. More complex rewritings involving ''modus tollens'' are often seen, for instance in
set theory Set theory is the branch of mathematical logic that studies sets, which can be informally described as collections of objects. Although objects of any kind can be collected into a set, set theory, as a branch of mathematics, is mostly conce ...
: :P\subseteq Q :x\notin Q :\therefore x\notin P ("P is a subset of Q. x is not in Q. Therefore, x is not in P.") Also in first-order
predicate logic First-order logic—also known as predicate logic, quantificational logic, and first-order predicate calculus—is a collection of formal systems used in mathematics, philosophy, linguistics, and computer science. First-order logic uses quantifie ...
: :\forall x:~P(x) \to Q(x) :\neg Q(y) :\therefore ~\neg P(y) ("For all x if x is P then x is Q. y is not Q. Therefore, y is not P.") Strictly speaking these are not instances of ''modus tollens'', but they may be derived from ''modus tollens'' using a few extra steps.


Justification via truth table

The validity of ''modus tollens'' can be clearly demonstrated through a
truth table A truth table is a mathematical table used in logic—specifically in connection with Boolean algebra, boolean functions, and propositional calculus—which sets out the functional values of logical expressions on each of their functional argumen ...
. In instances of ''modus tollens'' we assume as premises that p → q is true and q is false. There is only one line of the truth table—the fourth line—which satisfies these two conditions. In this line, p is false. Therefore, in every instance in which p → q is true and q is false, p must also be false.


Formal proof


Via disjunctive syllogism


Via ''reductio ad absurdum''


Via contraposition


Correspondence to other mathematical frameworks


Probability calculus

''Modus tollens'' represents an instance of the
law of total probability In probability theory, the law (or formula) of total probability is a fundamental rule relating marginal probabilities to conditional probabilities. It expresses the total probability of an outcome which can be realized via several distinct eve ...
combined with Bayes' theorem expressed as: \Pr(P)=\Pr(P\mid Q)\Pr(Q)+\Pr(P\mid \lnot Q)\Pr(\lnot Q)\,, where the conditionals \Pr(P\mid Q) and \Pr(P\mid \lnot Q) are obtained with (the extended form of) Bayes' theorem expressed as: \Pr(P\mid Q) = \frac\;\;\; and \;\;\;\Pr(P\mid \lnot Q) = \frac. In the equations above \Pr(Q) denotes the probability of Q, and a(P) denotes the
base rate In probability and statistics, the base rate (also known as prior probabilities) is the class of probabilities unconditional on "featural evidence" (likelihoods). For example, if 1% of the population were medical professionals, and remaining ...
(aka.
prior probability In Bayesian statistical inference, a prior probability distribution, often simply called the prior, of an uncertain quantity is the probability distribution that would express one's beliefs about this quantity before some evidence is taken into ...
) of P. The
conditional probability In probability theory, conditional probability is a measure of the probability of an event occurring, given that another event (by assumption, presumption, assertion or evidence) has already occurred. This particular method relies on event B occur ...
\Pr(Q\mid P) generalizes the logical statement P \to Q, i.e. in addition to assigning TRUE or FALSE we can also assign any probability to the statement. Assume that \Pr(Q) = 1 is equivalent to Q being TRUE, and that \Pr(Q) = 0 is equivalent to Q being FALSE. It is then easy to see that \Pr(P) = 0 when \Pr(Q\mid P) = 1 and \Pr(Q) = 0. This is because \Pr(\lnot Q\mid P) = 1 - \Pr(Q\mid P) = 0 so that \Pr(P\mid \lnot Q) = 0 in the last equation. Therefore, the product terms in the first equation always have a zero factor so that \Pr(P) = 0 which is equivalent to P being FALSE. Hence, the
law of total probability In probability theory, the law (or formula) of total probability is a fundamental rule relating marginal probabilities to conditional probabilities. It expresses the total probability of an outcome which can be realized via several distinct eve ...
combined with Bayes' theorem represents a generalization of ''modus tollens''.


Subjective logic

''Modus tollens'' represents an instance of the abduction operator in subjective logic expressed as: \omega^_= (\omega^_,\omega^_)\widetilde (a_,\,\omega^_)\,, where \omega^_ denotes the subjective opinion about Q, and (\omega^_,\omega^_) denotes a pair of binomial conditional opinions, as expressed by source A. The parameter a_ denotes the
base rate In probability and statistics, the base rate (also known as prior probabilities) is the class of probabilities unconditional on "featural evidence" (likelihoods). For example, if 1% of the population were medical professionals, and remaining ...
(aka. the
prior probability In Bayesian statistical inference, a prior probability distribution, often simply called the prior, of an uncertain quantity is the probability distribution that would express one's beliefs about this quantity before some evidence is taken into ...
) of P. The abduced marginal opinion on P is denoted \omega^_. The conditional opinion \omega^_ generalizes the logical statement P \to Q, i.e. in addition to assigning TRUE or FALSE the source A can assign any subjective opinion to the statement. The case where \omega^_ is an absolute TRUE opinion is equivalent to source A saying that Q is TRUE, and the case where \omega^_ is an absolute FALSE opinion is equivalent to source A saying that Q is FALSE. The abduction operator \widetilde of subjective logic produces an absolute FALSE abduced opinion \omega^_ when the conditional opinion \omega^_ is absolute TRUE and the consequent opinion \omega^_ is absolute FALSE. Hence, subjective logic abduction represents a generalization of both ''modus tollens'' and of the
Law of total probability In probability theory, the law (or formula) of total probability is a fundamental rule relating marginal probabilities to conditional probabilities. It expresses the total probability of an outcome which can be realized via several distinct eve ...
combined with Bayes' theorem.Audun Jøsang 2016:p.92


See also

* * * * * * * * *


Notes


Sources

* Audun Jøsang, 2016,
Subjective Logic; A formalism for Reasoning Under Uncertainty
' Springer, Cham,


External links

*

' at Wolfram MathWorld {{DEFAULTSORT:Modus Tollens Classical logic Rules of inference Latin logical phrases Theorems in propositional logic