Notes

Tautology in Discrete Mathematics [ English ]

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1. Introduction to Tautology

In discrete mathematics, logical propositions are analyzed based on how their truth values behave under all possible conditions. Some statements are always false (contradictions), while others vary (contingencies). A special and important class of propositions is tautology, which is always true regardless of the truth values of its components.

Tautologies are fundamental in:

2. Definition of Tautology

A tautology is a compound proposition that is true for all possible truth values of its variables.

Formal Definition:

A proposition is called a tautology if its truth table contains only True values.

3. Symbol and Representation

There is no single symbol that represents tautology universally. Instead, a statement is identified as a tautology by verifying that it is always true.

A standard example is:

p ∨ ¬p

4. Truth Table of a Tautology

Consider:

p ∨ ¬p
p ¬p p ∨ ¬p
True False True
False True True

Explanation:

5. Examples of Tautology

Example 1: Law of Excluded Middle

p ∨ ¬p

✔ Always true

Example 2: Implication Form

(p → q) ∨ (q → p)

✔ Always true regardless of p and q

Example 3: Logical Equivalence

¬(p ∧ q) ↔ (¬p ∨ ¬q)

✔ This represents De Morgan’s Law, which is always true

6. Using Truth Table to Verify Tautology

A proposition is a tautology if:

7. Tautology vs Contradiction vs Contingency

Type Description Example
Tautology Always true p ∨ ¬p
Contradiction Always false p ∧ ¬p
Contingency Sometimes true, sometimes false p → q

8. Important Laws Involving Tautology

(a) Law of Excluded Middle

p ∨ ¬p

(b) Implication Law

p → q ≡ ¬p ∨ q

This expression can lead to tautologies in many cases.

(c) Biconditional Identity (when equivalent)

p ↔ p

✔ Always true

9. Applications of Tautology

(a) Mathematics

(b) Computer Science

(c) Logic

10. Key Observations

11. Summary

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