Day 03part 14-discrete mathematics for computer science-Principle of Duality and it’s basic concept.
Contents
- 1 Principle of Duality in Discrete Mathematics
- 2 Basic Concept of Duality
- 3 Duality Rules:
- 4 Duality in Lattice Theory
- 5 Importance of Principle of Duality
- 6 Summary
- 7 Day 03part 14-discrete mathematics for computer science-Principle of Duality and it’s basic concept.
- 8 DISCRETE MATHEMATICS FOR COMPUTER SCIENCE
- 9 Discrete Mathematics for Computer Scientists
- 10 Duality in Computer Science
- 11 Part I Cases and Notes
Principle of Duality in Discrete Mathematics
What is the Principle of Duality?
The Principle of Duality states that every Boolean algebraic expression has a dual expression, which is obtained by interchanging AND (⋅) and OR (+) operators, and swapping 0s and 1s.
This concept is useful in Boolean algebra, logic circuits, and lattice theory.
Basic Concept of Duality
In Boolean algebra, we use the following two basic operations:
AND (⋅) → Multiplication
OR (+) → Addition
Duality Rules:
-
Replace AND (⋅) with OR (+) and vice versa.
-
Replace 0 with 1 and vice versa.
Example:
Original Expression:
A+(B⋅C)=(A+B)⋅(A+C)A + (B \cdot C) = (A + B) \cdot (A + C)
Dual Expression:
A⋅(B+C)=(A⋅B)+(A⋅C)A \cdot (B + C) = (A \cdot B) + (A \cdot C)
Both expressions hold true in Boolean algebra.
Duality in Lattice Theory
In lattice theory, duality is applied in partial ordering and set operations:
Join (∨) → Interchanged with Meet (∧)
Least Element (0) → Interchanged with Greatest Element (1)
Example:
a∨(b∧c)=(a∨b)∧(a∨c)a \vee (b \wedge c) = (a \vee b) \wedge (a \vee c)
Dual Form:
a∧(b∨c)=(a∧b)∨(a∧c)a \wedge (b \vee c) = (a \wedge b) \vee (a \wedge c)
This follows De Morgan’s laws in Boolean algebra.
Importance of Principle of Duality
Simplifies Boolean expressions in digital logic.
Helps in deriving new theorems easily.
Used in switching circuits and logic gate design.
Essential for lattice theory and set operations.
Summary
Duality states that every Boolean algebraic expression has a dual.
Swap AND (⋅)
Used in Boolean algebra, logic circuits, and lattice theory.
Would you like more solved examples on Boolean duality?