List of rules of inference explained

This is a list of rules of inference, logical laws that relate to mathematical formulae.

Introduction

Rules of inference are syntactical transform rules which one can use to infer a conclusion from a premise to create an argument. A set of rules can be used to infer any valid conclusion if it is complete, while never inferring an invalid conclusion, if it is sound. A sound and complete set of rules need not include every rule in the following list, as many of the rules are redundant, and can be proven with the other rules.

Discharge rules permit inference from a subderivation based on a temporary assumption. Below, the notation

\varphi\vdash\psi

indicates such a subderivation from the temporary assumption

\varphi

to

\psi

.

Rules for propositional calculus

Rules for negations

Reductio ad absurdum (or Negation Introduction):

\varphi\vdash\psi

\underline{\varphi\vdashlnot\psi}

lnot\varphi

Reductio ad absurdum (related to the law of excluded middle):

lnot\varphi\vdash\psi

\underline{lnot\varphi\vdashlnot\psi}

\varphi

Ex contradictione quodlibet

\varphi

\underline{lnot\varphi}

\psi

Rules for conditionals

Deduction theorem (or Conditional Introduction):

\underline{\varphi\vdash\psi}

\varphi\psi

Modus ponens (or Conditional Elimination):

\varphi\psi

\underline{\varphi}

\psi

Modus tollens

\varphi\psi

\underline{lnot\psi}

lnot\varphi

Rules for conjunctions

Adjunction (or Conjunction Introduction):

\varphi

\underline{\psi  }

\varphi\land\psi

Simplification (or Conjunction Elimination):

\underline{\varphi\land\psi}

\varphi

\underline{\varphi\land\psi}

\psi

Rules for disjunctions

Addition (or Disjunction Introduction):

\underline{\varphi  }

\varphi\lor\psi

\underline{\psi  }

\varphi\lor\psi

Case analysis (or Proof by Cases or Argument by Cases or Disjunction elimination)

\varphi\chi

\psi\chi

\underline{\varphi\lor\psi}

\chi

Disjunctive syllogism

\varphi\lor\psi

\underline{lnot\varphi}

\psi

\varphi\lor\psi

\underline{lnot\psi}

\varphi

\varphi\chi

\psi\xi

\underline{\varphi\lor\psi}

\chi\lor\xi

Rules for biconditionals

Biconditional introduction

\varphi\psi

\underline{\psi\varphi}

\varphi\leftrightarrow\psi

Biconditional elimination

\varphi\leftrightarrow\psi

\underline{\varphi}

\psi

\varphi\leftrightarrow\psi

\underline{\psi}

\varphi

\varphi\leftrightarrow\psi

\underline{lnot\varphi}

lnot\psi

\varphi\leftrightarrow\psi

\underline{lnot\psi}

lnot\varphi

\varphi\leftrightarrow\psi

\underline{\psi\lor\varphi}

\psi\land\varphi

\varphi\leftrightarrow\psi

\underline{lnot\psi\lorlnot\varphi}

lnot\psi\landlnot\varphi

Rules of classical predicate calculus

In the following rules,

\varphi(\beta/\alpha)

is exactly like

\varphi

except for having the term

\beta

wherever

\varphi

has the free variable

\alpha

.
Universal Generalization (or Universal Introduction):

\underline{\varphi{(\beta/\alpha)}}

\forall\alpha\varphi

Restriction 1:

\beta

is a variable which does not occur in

\varphi

.
Restriction 2:

\beta

is not mentioned in any hypothesis or undischarged assumptions.
Universal Instantiation (or Universal Elimination):

\forall\alpha\varphi

\overline{\varphi{(\beta/\alpha)}}

Restriction: No free occurrence of

\alpha

in

\varphi

falls within the scope of a quantifier quantifying a variable occurring in

\beta

.
Existential Generalization (or Existential Introduction):

\underline{\varphi(\beta/\alpha)}

\exists\alpha\varphi

Restriction: No free occurrence of

\alpha

in

\varphi

falls within the scope of a quantifier quantifying a variable occurring in

\beta

.
Existential Instantiation (or Existential Elimination):

\exists\alpha\varphi

\underline{\varphi(\beta/\alpha)\vdash\psi}

\psi

Restriction 1:

\beta

is a variable which does not occur in

\varphi

.
Restriction 2: There is no occurrence, free or bound, of

\beta

in

\psi

.
Restriction 3:

\beta

is not mentioned in any hypothesis or undischarged assumptions.

Rules of substructural logic

The following are special cases of universal generalization and existential elimination; these occur in substructural logics, such as linear logic.

Rule of weakening (or monotonicity of entailment) (aka no-cloning theorem)

\alpha\vdash\beta

\overline{\alpha,\alpha\vdash\beta}

Rule of contraction (or idempotency of entailment) (aka no-deleting theorem)

\underline{\alpha,\alpha,\gamma\vdash\beta}

\alpha,\gamma\vdash\beta

Table: Rules of Inference

The rules above can be summed up in the following table.[1] The "Tautology" column shows how to interpret the notation of a given rule.

Rules of inferenceTautologyName

\begin{align} p\\ pq\\ \therefore\overline{q}\\ \end{align}

(p\wedge(pq))q

Modus ponens

\begin{align} \negq\\ pq\\ \therefore\overline{\negp}\\ \end{align}

(\negq\wedge(pq))\negp

Modus tollens

\begin{align} pq\\ qr\\ \therefore\overline{pr}\\ \end{align}

((pq)\wedge(qr))(pr)

Hypothetical syllogism

\begin{align} pq\\ \therefore\overline{p(p\wedgeq)}\\ \end{align}

(pq)(p(p\wedgeq))

Absorption

\begin{align} p\\ q\\ \therefore\overline{p\wedgeq}\\ \end{align}

((p)\wedge(q))(p\wedgeq)

Conjunction introduction

\begin{align} p\wedgeq\\ \therefore\overline{p}\\ \end{align}

(p\wedgeq)p

Conjunction elimination

\begin{align}p\\ \therefore\overline{p\veeq}\\ \end{align}

p(p\veeq)

Disjunction introduction

\begin{align} pq\\ rq\\ p\veer\\ \therefore\overline{q}\\ \end{align}

((pq)\wedge(rq)\wedge(p\veer))q

Disjunction elimination

\begin{align} p\veeq\\ \negp\\ \therefore\overline{q}\\ \end{align}

((p\veeq)\wedge\negp)q

Disjunctive syllogism

\begin{align} p\veep\\ \therefore\overline{p}\\ \end{align}

(p\veep)p

Disjunctive simplification

\begin{align} p\veeq\\ \negp\veer\\ \therefore\overline{q\veer}\\ \end{align}

((p\veeq)\wedge(\negp\veer))(q\veer)

Resolution

\begin{align} pq\\ qp\\ \therefore\overline{p\leftrightarrowq}\\ \end{align}

((pq)\wedge(qp))(p\leftrightarrowq)

Biconditional introduction

All rules use the basic logic operators. A complete table of "logic operators" is shown by a truth table, giving definitions of all the possible (16) truth functions of 2 boolean variables (p, q):

p q 0   1   2   3   4   5   6   7  8   9  10 11 12 13 14 15
T TF F F F F F F F T T T T T T T T
T FF F F F T T T T F F F F T T T T
F TF F T T F F T T F F T T F F T T
F FF T F T F T F T F T F T F T F T

where T = true and F = false, and, the columns are the logical operators:

Each logic operator can be used in an assertion about variables and operations, showing a basic rule of inference. Examples:

We can see also that, with the same premise, another conclusions are valid: columns 12, 14 and 15 are T.

With this premise, we also conclude that q=T, pq=T, etc. as shown by columns 9–15.

Machines and well-trained people use this look at table approach to do basic inferences, and to check if other inferences (for the same premises) can be obtained.

Example 1

Consider the following assumptions: "If it rains today, then we will not go on a canoe today. If we do not go on a canoe trip today, then we will go on a canoe trip tomorrow. Therefore (Mathematical symbol for "therefore" is

\therefore

), if it rains today, we will go on a canoe trip tomorrow".To make use of the rules of inference in the above table we let

p

be the proposition "If it rains today",

q

be "We will not go on a canoe today" and let

r

be "We will go on a canoe trip tomorrow". Then this argument is of the form:

\begin{align} pq\\ qr\\ \therefore\overline{pr}\\ \end{align}

Example 2

Consider a more complex set of assumptions: "It is not sunny today and it is colder than yesterday". "We will go swimming only if it is sunny", "If we do not go swimming, then we will have a barbecue", and "If we will have a barbecue, then we will be home by sunset" lead to the conclusion "We will be home by sunset."Proof by rules of inference: Let

p

be the proposition "It is sunny today",

q

the proposition "It is colder than yesterday",

r

the proposition "We will go swimming",

s

the proposition "We will have a barbecue", and

t

the proposition "We will be home by sunset". Then the hypotheses become

\negp\wedgeq,rp,\negrs

and

st

. Using our intuition we conjecture that the conclusion might be

t

. Using the Rules of Inference table we can prove the conjecture easily:
StepReason
1.

\negp\wedgeq

Hypothesis
2.

\negp

Simplification using Step 1
3.

rp

Hypothesis
4.

\negr

Modus tollens using Step 2 and 3
5.

\negrs

Hypothesis
6.

s

Modus ponens using Step 4 and 5
7.

st

Hypothesis
8.

t

Modus ponens using Step 6 and 7

See also

References

  1. Kenneth H. Rosen: Discrete Mathematics and its Applications, Fifth Edition, p. 58.