provides the foundation for formal reasoning in mathematics. It establishes principles like and , which are crucial for building reliable systems of thought. These concepts form the bedrock of mathematical reasoning.
and are two key aspects of logic. deals with the structure and rules of logical systems, while semantics focuses on meaning and interpretation. Understanding both is essential for grasping how mathematical statements are constructed and evaluated.
Foundations of Mathematical Logic
Principles of mathematical logic
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Formalism and Hilbert’s understanding of consistency problems | SpringerLink View original
Focuses on structure and properties of mathematical statements and proofs
Key principles of mathematical logic:
Consistency: Logical system should not contain contradictions (no statement and its can both be proven)
Completeness: Every logically valid statement can be proven within the system (all true statements are provable)
: Every statement provable in the system is logically valid (only true statements can be proven)
Mathematical logic provides framework for:
Formalizing mathematical statements and arguments (using symbols and rules)
Analyzing properties of mathematical theories (consistency, completeness, decidability)
Investigating limits of mathematical reasoning (, )
Syntax vs semantics in logic
Syntax refers to formal structure and rules of logical system
Specifies allowed symbols and formulas (, constants, connectives, )
Defines rules for constructing (wffs) (, )
Determines valid inference rules for deriving new formulas (modus ponens, universal instantiation)
Semantics refers to meaning and interpretation of symbols and formulas
Assigns (true or false) to formulas based on meaning
Defines conditions under which formula is considered true or false (, )
Establishes relationship between syntax and intended interpretation (, )
Components of propositional and first-order logic
deals with propositions and their relationships
Propositions are statements that can be either true or false (it is raining, 2+2=4)
combine propositions:
¬ (): not
∧ (): and
∨ (): or
→ (): if...then
↔ (): if and only if
Allows construction of compound statements and analysis of logical properties (tautologies, contradictions)
extends with , variables, and
Predicates represent properties or relations that can be true or false of objects (P(x): x is prime, R(x,y): x is greater than y)
Variables stand for arbitrary objects in domain of discourse (x, y, z)
Quantifiers express statements about all or some objects in domain:
∀ (): for all
∃ (): there exists
Allows representation of complex mathematical statements and reasoning about objects and properties (∀x(x>0→∃y(y2=x)): for every positive real number, there exists a square root)
Construction of well-formed formulas
combine propositions or predicates into complex formulas
Negation (¬): ¬P is true iff P is false
Conjunction (∧): P∧Q is true iff both P and Q are true
Disjunction (∨): P∨Q is true iff at least one of P or Q is true
(→): P→Q is true iff either P is false or Q is true
Biconditional (↔): P↔Q is true iff P and Q have the same truth value
Quantifiers express statements about objects in domain
(∀): ∀xP(x) is true iff P(x) is true for all objects x in domain
Existential quantifier (∃): ∃xP(x) is true iff there exists at least one object x in domain for which P(x) is true
Well-formed formulas (wffs) constructed by following syntactic rules of logical system
Atomic formulas (propositions or predicates) are basic building blocks (P, Q(x))
Complex formulas formed by applying logical connectives and quantifiers to atomic formulas or other complex formulas (P∧Q, ∀x(P(x)→Q(x)))
Parentheses used to specify order of operations and scope of quantifiers (∃x(P(x)∧∀yQ(y)))