# Mathematical Logical Terms and Definitions

MathematicsComputer EngineeringMCA

#### Mathematics for Data Science and Machine Learning using R

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## Tautologies

A Tautology is a formula which is always true for every value of its propositional variables.

Example − Prove [ (A → B) ∧ A ] → B is a tautology

The truth table is as follows −

ABA → B(A → B) ∧ A[ (A → B) ∧ A ] → B
TrueTrueTrueTrueTrue
TrueFalseFalseFalseTrue
FalseTrueTrueFalseTrue
FalseFalseTrueFalseTrue

As we can see every value of [ (A → B) ∧ A ] → B is "True", it is a tautology.

A Contradiction is a formula which is always false for every value of its propositional variables.

Example − Prove (A ∨ B) ∧ [ ( ¬ A) ∧ (¬ B) ] is a contradiction

The truth table is as follows −

ABA ∨ B¬ A¬ B(¬ A) ∧ ( ¬ B)(A ∨ B) ∧ [( ¬ A) ∧ (¬ B)]
TrueTrueTrueFalseFalseFalseFalse
TrueFalseTrueFalseTrueFalseFalse
FalseTrueTrueTrueFalseFalseFalse
FalseFalseFalseTrueTrueTrueFalse

As we can see every value of A ∨ B) ∧ [ ( ¬ A) ∧ (¬ B) ] is “False”, it is a contradiction.

## Contingency

A Contingency is a formula which has both some true and some false values for every value of its propositional variables.

Example − Prove (A ∨ B) ∧ (¬ A) a contingency

The truth table is as follows −

ABA ∨ B¬ A(A ∨ B) ∧ (¬ A)
TrueTrueTrueFalseFalse
TrueFalseTrueFalseFalse
FalseTrueTrueTrueTrue
FalseFalseFalseTrueFalse

As we can see every value of A ∨ B) ∧ (¬ A) has both “True” and “False”, it is a contingency.

## Propositional Equivalences

Two statements X and Y are logically equivalent if any of the following two conditions hold −

• The truth tables of each statement have the same truth values.

• The bi-conditional statement X ⇔ Y is a tautology.

Example − Prove ¬ (A ∨ B) and [ (¬ A) ∧ (¬ B) ] are equivalent

## Testing by 1st method (Matching truth table)

ABA ∨ B¬ (A ∨ B)¬ A¬ B[(¬ A) ∧ (¬ B)]
TrueTrueTrueFalseFalseFalseFalse
TrueFalseTrueFalseFalseTrueFalse
FalseTrueTrueFalseTrueFalseFalse
FalseFalseFalseTrueTrueTrueTrue

Here, we can see the truth values of ¬ (A ∨ B) and [ (¬ A) ∧ (¬ B) ] are same, hence the statements are equivalent.

## Testing by 2nd method (Bi-conditionality)

AB¬ (A ∨ B )[(¬ A) ∧ (¬ B)][¬ (A ∨ B)] ⇔ [(¬ A ) ∧ (¬ B)]
TrueTrueFalseFalseTrue
TrueFalseFalseFalseTrue
FalseTrueFalseFalseTrue
FalseFalseTrueTrueTrue

As [ ¬ (A ∨ B) ] ⇔ [ (¬ A ) ∧ (¬ B) ] is a tautology, the statements are equivalent.

## Inverse, Converse, and Contra-positive

Implication / if-then (→) is also called a conditional statement. It has two parts −

• Hypothesis, p
• Conclusion, q

As mentioned earlier, it is denoted as p → q.

Example of Conditional Statement − “If you do your homework, you will not be punished.” Here, "you do your homework" is the hypothesis, p, and "you will not be punished" is the conclusion, q.

Inverse − An inverse of the conditional statement is the negation of both the hypothesis and the conclusion. If the statement is “If p, then q”, the inverse will be “If not p, then not q”. Thus the inverse of p → q is ¬ p → ¬ q.

Example − The inverse of “If you do your homework, you will not be punished” is “If you do not do your homework, you will be punished.”

Converse − The converse of the conditional statement is computed by interchanging the hypothesis and the conclusion. If the statement is “If p, then q”, the converse will be “If q, then p”. The converse of p → q is q → p.

Example − The converse of "If you do your homework, you will not be punished" is "If you will not be punished, you do your homework”.

Contra-positive − The contra-positive of the conditional is computed by interchanging the hypothesis and the conclusion of the inverse statement. If the statement is “If p, then q”, the contra-positive will be “If not q, then not p”. The contra-positive of p → q is ¬ q → ¬ p.

Example − The Contra-positive of " If you do your homework, you will not be punished” is "If you are punished, you did not do your homework”.

## Duality Principle

Duality principle states that for any true statement, the dual statement obtained by interchanging unions into intersections (and vice versa) and interchanging Universal set into Null set (and vice versa) is also true. If dual of any statement is the statement itself, it is said self-dual statement.

Example − The dual of (A ∩ B ) ∪ C is (A ∪ B) ∩ C

## Normal Forms

We can convert any proposition in two normal forms −

• Conjunctive normal form
• Disjunctive normal form

## Conjunctive Normal Form

A compound statement is in conjunctive normal form if it is obtained by operating AND among variables (negation of variables included) connected with ORs. In terms of set operations, it is a compound statement obtained by Intersection among variables connected with Unions.

Examples

• (A ∨ B) ∧ (A ∨ C) ∧ (B ∨ C ∨ D)

• (P ∪ Q) ∩ (Q ∪ R)

## Disjunctive Normal Form

A compound statement is in conjunctive normal form if it is obtained by operating OR among variables (negation of variables included) connected with ANDs. In terms of set operations, it is a compound statement obtained by Union among variables connected with Intersections.

Examples

• (A ∧ B) ∨ (A ∧ C) ∨ (B ∧ C ∧ D)

• (P ∩ Q) ∪ (Q ∩ R)