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Logical connectives are the grammar of formal reasoning—they're how you build complex statements from simple propositions and determine when arguments are valid. You're being tested on your ability to recognize how connectives behave under different truth conditions, translate natural language into symbolic form, and manipulate compound statements in proofs. The concepts here—truth functionality, logical equivalence, and functional completeness—show up repeatedly in truth tables, derivations, and equivalence proofs.
Don't just memorize symbols and definitions. Know why each connective produces its truth values, how connectives relate to each other through equivalences, and which connectives can express others. When you see a proof or translation problem, you need to instantly recognize which connective captures the logical relationship—and that comes from understanding the underlying principles, not rote recall.
These are your foundational tools. Each one takes propositions as inputs and outputs a truth value determined entirely by the truth values of those inputs—this is what makes them truth-functional.
Compare: Conjunction () vs. Disjunction ()—both combine two propositions, but conjunction requires all inputs true while disjunction requires at least one. On truth tables, has one T row; has three T rows. If an FRQ asks about translating "and" vs. "or," watch for inclusive vs. exclusive meaning.
These connectives express relationships of dependency and equivalence between propositions. Mastering the conditional is arguably the most important skill in formal logic.
Compare: Conditional () vs. Biconditional ()—the conditional is asymmetric ( doesn't guarantee ), while the biconditional is symmetric. The conditional has one F row; the biconditional has two F rows. Exam tip: "only if" signals a conditional; "if and only if" signals a biconditional.
These connectives are defined in terms of the basic ones but appear frequently enough to warrant their own symbols. They're especially important for understanding logical relationships and circuit design.
Compare: NAND () vs. NOR ()—both are negated versions of basic connectives and both are individually functionally complete. NAND has three T rows (like ); NOR has one T row (like ). These are favorites in questions about functional completeness and circuit minimization.
Some connectives can define all others—this property is called functional completeness. Understanding which sets of connectives are complete is essential for proofs and logical system design.
Compare: Sheffer Stroke vs. standard connective sets—while or are functionally complete sets, the Sheffer stroke achieves completeness with a single connective. This matters for questions about minimal bases for logical systems.
| Concept | Best Examples |
|---|---|
| Unary connectives | Negation () |
| Basic binary connectives | Conjunction (), Disjunction () |
| Conditional relationships | Conditional (), Biconditional () |
| Exclusive operations | XOR () |
| Negated connectives | NAND (), NOR () |
| Functionally complete (single) | NAND (), NOR (), Sheffer Stroke ($$ |
| Functionally complete (pairs) | , , |
| Three T rows in truth table | Disjunction (), NAND (), Conditional () |
Which two connectives are both individually functionally complete, and how do their truth tables differ?
The conditional is logically equivalent to which combination of negation and disjunction? Why does this equivalence matter for proofs?
Compare and contrast inclusive disjunction () and exclusive disjunction ()—under what truth value assignments do they differ?
If you needed to express using only the Sheffer stroke, how would you do it? What about expressing ?
A statement is true when both propositions have the same truth value and false otherwise. Which connective is this, and how does it relate to the conditional?