Predicates, individual constants, and variables form the building blocks of predicate logic . These elements allow us to represent complex relationships and make general statements about objects in a given domain, enabling more nuanced logical reasoning.
Understanding how to construct well-formed formulas and evaluate their truth values is crucial. By combining atomic formulas with logical connectives and quantifiers, we can express sophisticated logical arguments and analyze their validity in various interpretations.
Predicates, Individual Constants, and Variables
Predicates and constants in logic
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Predicates represent properties or relationships between objects in logic
Denoted by uppercase letters (P, Q, R)
Take one or more arguments to form statements
Unary predicates take one argument (P(x), "x is prime")
Binary predicates take two arguments (R(x, y), "x is greater than y")
n-ary predicates take n arguments (Q(x, y, z), "x, y, and z are collinear")
Individual constants represent specific objects or entities
Denoted by lowercase letters (a, b, c)
Refer to a particular object in the domain of discourse (a = Socrates, b = Plato)
Variables represent arbitrary objects or entities
Denoted by lowercase letters (x, y, z)
Used to quantify over a domain of objects
Enable general statements about properties or relationships (∀ x P(x), "for all x, P(x) holds")
Atomic formulas consist of a predicate followed by the appropriate number of arguments
Arguments can be individual constants or variables
Examples: P(a) , R(x, y), Q(a, b, c)
Complex formulas are formed by combining atomic formulas using logical connectives
Negation: ¬ \neg ¬ (not)
Conjunction: ∧ \land ∧ (and)
Disjunction: ∨ \lor ∨ (or)
Implication: → \rightarrow → (if...then)
Biconditional: ↔ \leftrightarrow ↔ (if and only if)
Quantifiers can be used to bind variables in formulas
Universal quantifier : ∀ \forall ∀ (for all)
Existential quantifier : ∃ \exists ∃ (there exists)
Examples of well-formed formulas:
∀ x ( P ( x ) → Q ( x ) ) \forall x (P(x) \rightarrow Q(x)) ∀ x ( P ( x ) → Q ( x )) (for all x, if P(x) then Q(x))
∃ y ( R ( a , y ) ∧ S ( y ) ) \exists y (R(a, y) \land S(y)) ∃ y ( R ( a , y ) ∧ S ( y )) (there exists a y such that R(a, y) and S(y))
An interpretation assigns meaning to the symbols in a predicate logic formula
Specifies a domain of objects and the truth values of predicates for those objects
Example: Domain = {1, 2, 3}, P(x) is true if x is even
Evaluating the truth value of an atomic formula:
Replace variables with objects from the domain
Determine the truth value of the resulting statement based on the interpretation
Examples:
Given the interpretation above, P(1) is false and P(2) is true
R(a, b) is true if the relation R holds between the objects denoted by a and b
Syntax vs semantics in predicate logic
Syntax concerns the formal structure and rules for constructing well-formed formulas
Specifies the allowed symbols and their arrangement
Examples:
P(x) is syntactically correct
P(x, y) is syntactically incorrect if P is a unary predicate
Semantics concerns the meaning and interpretation of well-formed formulas
Assigns truth values to formulas based on the interpretation of symbols
Examples:
∀ x ( P ( x ) → Q ( x ) ) \forall x (P(x) \rightarrow Q(x)) ∀ x ( P ( x ) → Q ( x )) is semantically true if, for every object in the domain, if P(x) is true, then Q(x) is also true
∃ y ( R ( a , y ) ∧ S ( y ) ) \exists y (R(a, y) \land S(y)) ∃ y ( R ( a , y ) ∧ S ( y )) is semantically true if there exists at least one object in the domain for which both R(a, y) and S(y) are true