Boolean algebra - Core rules (Simple & Practical)
Understanding Boolean algebra is essential for writing clean, reliable, and optimized code. These core logical laws form the foundation of condition design, query construction, filtering logic, and software architecture decisions.
Ivan Borshchov
CEO · Feb 12, 2026
Boolean Algebra --- Core Rules (Simple & Practical)
Boolean algebra is a system for working with logical values:
1/true0/false
It is used everywhere in programming: if statements, filtering, bit
operations, SQL conditions, hardware logic, etc.
Basic Operators
| Operator | Symbol | Meaning | Scientific Naming (Discrete Math / Logic) |
|---|---|---|---|
| AND | a && b or a ∧ b | true if both are true | Conjunction |
| OR | a || b or a ∨ b | true if at least one is true | Disjunction |
| NOT | !a or ¬a | logical negation | Negation |
Core Laws
1️⃣ Idempotent Law
Repeating the same value changes nothing.
a && a = a
a || a = a
2️⃣ Commutative Law
Order does not matter.
a && b = b && a
a || b = b || a
3️⃣ Associative Law
Grouping does not matter.
(a && b) && c = a && (b && c)
(a || b) || c = a || (b || c)
4️⃣ Distributive Law (Very Important)
a && (b || c) = (a && b) || (a && c)
a || (b && c) = (a || b) && (a || c)
5️⃣ Identity (Neutral Elements)
a && true = a
a || false = a
6️⃣ Domination (Absorbing Elements)
a && false = false
a || true = true
7️⃣ Complement Law
a && !a = false
a || !a = true
8️⃣ Double Negation
!!a = a
9️⃣ De Morgan's Laws (Extremely Important)
!(a && b) = !a || !b
!(a || b) = !a && !b
🔟 Absorption Law
a || (a && b) = a
a && (a || b) = a
Example Simplification
!(a && b)
Using De Morgan:
!a || !b
What Is Used Most in Programming
In real-world code, these rules are used most often:
- De Morgan's Laws
- Double negation (
!!a) - Complement law (
a && !a) - Distributive law
- Absorption law
These are especially common when simplifying:
- complex
ifconditions\ - SQL
WHEREclauses\ - filtering logic\
- guard conditions\
- bitwise operations
Boolean algebra is not just theory --- it is the foundation of clean condition design.