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Truth Table Calculator (Boolean Logic Evaluator)
Boolean truth table calculator — evaluate AND, OR, NOT, XOR, NAND, NOR, and XNOR with binary inputs A and B instantly.
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Truth Value (1 = True, 0 = False)
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What Is a Truth Table Calculator?
A truth table calculator evaluates Boolean logic expressions by mapping every possible combination of binary inputs to a defined output. Boolean logic, formalized by mathematician George Boole in the 19th century, underpins digital circuits, programming conditionals, and formal mathematical proofs. This tool applies a selected logical operator to inputs A and B — each holding a value of 1 (True) or 0 (False) — and returns a binary result R.
The Core Formula
The general form of a Boolean evaluation is: R = fop(A, B) ∈ {0, 1}, where op denotes the selected logical operator, A and B are binary inputs, and R is the binary result. When the operator is NOT, only input A is evaluated; B is disregarded entirely.
Logical Operations Explained
AND (Conjunction)
AND returns 1 only when both A and B equal 1. Formal notation: R = A ∧ B. This models conditions where every criterion must be satisfied simultaneously — for example, a secure door unlocks only when a valid keycard AND the correct PIN are both provided at once.
- 0 AND 0 = 0
- 0 AND 1 = 0
- 1 AND 0 = 0
- 1 AND 1 = 1
OR (Disjunction)
OR returns 1 when at least one input equals 1. Formal notation: R = A ∨ B. A familiar example: a lamp activates if switch A OR switch B is flipped. According to Millersville University's truth table reference, OR is an inclusive disjunction — both inputs being true simultaneously also produces a true result.
- 0 OR 0 = 0
- 0 OR 1 = 1
- 1 OR 0 = 1
- 1 OR 1 = 1
NOT (Negation)
NOT is a unary operator that accepts only one input, A, and inverts its value. Formal notation: R = ¬A. If A = 1 then R = 0; if A = 0 then R = 1. Input B has no effect when NOT is selected. In digital hardware, NOT is implemented as an inverter gate and forms the basis for constructing all other Boolean functions.
- NOT 0 = 1
- NOT 1 = 0
XOR (Exclusive OR)
XOR returns 1 only when the two inputs differ. Formal notation: R = A ⊕ B. Unlike standard OR, XOR returns 0 when both inputs are 1. This exclusive property makes XOR foundational in binary half-adder circuits, CRC error detection, and symmetric encryption — XOR-ing byte 01001010 with key 11001100 yields 10000110 in a single bitwise pass.
- 0 XOR 0 = 0
- 0 XOR 1 = 1
- 1 XOR 0 = 1
- 1 XOR 1 = 0
NAND and NOR (Universal Gates)
NAND is the negation of AND: R = ¬(A ∧ B). NOR is the negation of OR: R = ¬(A ∨ B). Both are classified as universal gates because any Boolean function — including AND, OR, NOT, and XOR — can be constructed exclusively from NAND gates or exclusively from NOR gates. This universality allows chip manufacturers to standardize on a single gate topology, dramatically reducing fabrication complexity. NAND flash memory, found in SSDs and smartphones, takes its name directly from this gate architecture.
XNOR (Logical Equivalence)
XNOR returns 1 when both inputs are equal. Formal notation: R = ¬(A ⊕ B). It represents logical biconditional equivalence and is the complement of XOR. XNOR gates form the core of digital comparator circuits that test whether two binary values are identical, such as password hash comparison in embedded security systems.
Real-World Applications
- Digital electronics: Every logic gate in a CPU — from a simple AND gate to a full adder — is completely described by a truth table mapping all input combinations to outputs.
- Software development: Conditional branches (if/else, while loops, ternary operators) directly mirror Boolean expressions whose correctness truth tables verify.
- Mathematical proofs: Truth tables mechanically confirm logical equivalences and expose tautologies or contradictions in propositional logic without algebraic manipulation.
- Database queries: SQL WHERE clauses combining AND, OR, and NOT obey truth table rules exactly; operator precedence errors in complex conditions produce production data bugs traceable to Boolean misunderstanding.
As documented in Whitman College's Higher Mathematics Logical Operations reference, Boolean connectives form the foundation of formal proof systems, and truth tables remain the most accessible method for verifying multi-variable propositions. For extended multi-variable analysis of compound expressions, the Stanford CS103 Truth Table Tool provides automated complete-table generation for three or more variables.
Reference