Tautology And Contradiction

Tautology And Contradiction

Komal MiglaniUpdated on 02 Jul 2025, 07:55 PM IST

In logic and mathematics, statements can often be classified based on their truth values under all possible scenarios. Two significant classifications are tautology and contradiction. Additionally, the concept of quantifiers plays a crucial role in expressing mathematical statements that involve generality or existence.

This Story also Contains

  1. Tautology
  2. Contradiction (fallacy)
  3. Truth Table
  4. Quantifiers
  5. Negation of statement containing a quantifier
  6. Solved Examples Based on Tautology And Contradiction
Tautology And Contradiction
Tautology And Contradiction

Tautology

A compound statement is called tautology if it is always true for all possible truth values of its component statement.

For example, $p ∨ ~p , ( p ⇒ q ) ∨ ( q ⇒ p ) $

It is denoted by the letter ' $t$ '

Contradiction (fallacy)

A compound statement is called a contradiction if it is always false for all possible truth values of its component statement.

For example, $p ∧ ~p, ∼(( p ⇒ q ) ∨ ( q ⇒ p )) $

It is denoted by letter ' $c$ ' or ' $f$ '

Truth Table

$\begin{array}{|c|c|c|c|c|c|c|c|}\hline \mathrm{\;\;\;\;\;}p\mathrm{\;\;\;\;\;}&\mathrm{\;\;\;}q\mathrm{\;\;\;}&\mathrm{\;\;\;\;\;}p\rightarrow q\mathrm{\;\;\;\;\;}&\mathrm{\;\;\;} q\rightarrow p\mathrm{\;\;\;} &\mathrm{\;\;\;}\left ( p\rightarrow q \right )\vee\left ( q\rightarrow p \right )\mathrm{\;\;}&\mathrm{\;\;\;}\sim\left ( \left ( p\rightarrow q \right )\vee\left ( q\rightarrow p \right ) \right ) \mathrm{\;\;} \\\hline \hline \mathrm{T}&\mathrm{T} & \mathrm{T} &\mathrm{T}&\mathrm{T}&\mathrm{F} \\ \hline \mathrm{T}&\mathrm{F} & \mathrm{F} &\mathrm{T}&\mathrm{T}&\mathrm{F} \\ \hline \mathrm{F}&\mathrm{T} & \mathrm{T} &\mathrm{F}&\mathrm{T}&\mathrm{F} \\ \hline \mathrm{F}&\mathrm{F} & \mathrm{T} &\mathrm{T}&\mathrm{T}&\mathrm{F} \\ \hline\end{array}$

Quantifiers

Quantifiers are phrases like ‘These exist’ and “for every”. We come across many mathematical statements containing these phrases.

For example

$p$ : For every prime number $x, √x$ is an irrational number.

$q$ : There exists a triangle whose all sides are equal.

There are two types of quantifiers

1. Universal: In this words like 'For all', 'All', 'For every', "Every' etc, are used and it denotes that all members of a set has that property.

For example, p : 'For every prime number $x, √x$ is an irrational number' tells us that the property mentioned is applicable to all the prime numbers

2. Existential: In this words like 'There exist a', 'Some', 'There is at least one' etc, are used and it denotes that there is at least one member in the set that has that property.

For example, $q$ : 'There exists a triangle whose all sides are equal' tells us that the property mentioned is applicable to at least one triangle.

Negation of statement containing a quantifier

To find the negation of a statement with a quantifier, apart from adding 'not' at appropriate place (as we usually do for finding negation of a mathematical statements), we also interchange the quantifier from universal to existential and vice versa

For example,

1. Negation of $p$ : 'For every prime number $x, √x$ is an irrational number'

is $\sim p$ : 'There is at least one prime number x such that √x is an not an irrational number'

Notice that apart from adding 'not', we have also changed the type of quantifier

2. Negation of $q$ : 'There exists a triangle whose all sides are equal'

is ' $\sim q$ : 'For every triangle, all sides are not equal'

Recommended Video Based on Tautology and Contradiction

Solved Examples Based on Tautology And Contradiction

Example 1: Which of the following Boolean expressions is a tautology?

1) $(p \wedge q) \vee(p \rightarrow q)$
2) $(p \wedge q) \vee(p \vee q)$
3) $(p \wedge q) \rightarrow(p \rightarrow q)$
4) $(p \wedge q) \wedge(p \rightarrow q)$

Solution

$(p \wedge q) \rightarrow(p \rightarrow q)$ is tautology


Example 2: If $P$ and $Q$ are two statements, then which of the following compound statement is a tautology?
1) $((P \Rightarrow Q) \wedge \sim Q) \Rightarrow Q$
2) $((P \Rightarrow Q) \wedge \sim Q) \Rightarrow P$
3) $((P \Rightarrow Q) \wedge \sim Q) \Rightarrow \sim P$
4) $((P \Rightarrow Q) \wedge \sim Q) \Rightarrow \Rightarrow(P \wedge Q)$

Solution
LHS of all the option are same

$
\begin{aligned}
((P \rightarrow Q) \wedge \sim Q) & \equiv(\sim P \vee Q) \wedge \sim Q \\
& \equiv(\sim P \wedge \sim Q) \vee(Q \wedge \sim Q) \\
& \equiv \sim P \wedge \sim Q
\end{aligned}
$
$
\begin{aligned}
& \text { (A) } \\
& (\sim P \wedge \sim Q) \rightarrow Q \\
& \quad \equiv \sim(\sim P \wedge \sim Q) \vee Q \\
& \quad \equiv(P \vee Q) \vee Q \neq \text { tautology }
\end{aligned}
$

(B)
$(\sim P \wedge \sim Q) \rightarrow P \equiv(\mathrm{P} \vee \mathrm{Q}) \vee \mathrm{P} \neq$ Tautology
(C)
$
\begin{aligned}
& (\sim P \wedge \sim Q) \rightarrow \sim P \\
& \quad \equiv \sim(\sim P \wedge \sim Q) \vee \sim P \\
& \quad \equiv(P \vee Q) \vee \sim P=\text { tautology }
\end{aligned}
$
(D)
$
\begin{aligned}
& (\sim P \wedge \sim Q) \rightarrow(P \wedge Q) \\
& \quad \equiv(P \vee Q) \vee(P \wedge Q) \neq \text { Tautology }
\end{aligned}
$


Example 3: If the Boolean expression $(p \Rightarrow q) \Leftrightarrow(q *(\sim p))_{\text {is a tautology, }}$ then Boolean expression $p *(\sim q)$ is equivalent to :
1) $\sim q \Rightarrow p$
2) $q \Rightarrow p$
3) $p \Rightarrow \sim q$
4) $p \Rightarrow q$

Solution
$
\begin{aligned}
& (p \Rightarrow q) \Leftrightarrow(q *(\sim p)) \\
& \because p \rightarrow q \equiv-p \vee q
\end{aligned}
$

So, $* \equiv \vee$
Thus, $p *(\sim q) \equiv \mathrm{p} \vee(\sim q) \equiv q \rightarrow p$

Example 4: If the Boolean expression $(p \wedge q) \circledast(p \otimes q)$ is a tautology, then $\circledast$ and $\otimes$ are respectively given by :
1) $\rightarrow, \rightarrow$
2) $\vee, \rightarrow$
3) $\wedge, \rightarrow$
4) $\wedge, \vee$

Solution

$\begin{array}{c|c|c|c|c} \mathrm{p} & \mathrm{q} & \mathrm{p} \wedge \mathrm{q} & \mathrm{p} \rightarrow \mathrm{q} & (\mathrm{p} \wedge \mathrm{q}) \rightarrow(\mathrm{p} \rightarrow \mathrm{q}) \\ \hline \mathrm{T} & \mathrm{T} & \mathrm{T} & \mathrm{T} & \mathrm{T} \\ \mathrm{T} & \mathrm{F} & \mathrm{F} & \mathrm{F} & \mathrm{T} \\ \mathrm{F} & \mathrm{T} & \mathrm{F} & \mathrm{T} & \mathrm{T} \\ \mathrm{F} & \mathrm{F} & \mathrm{F} & \mathrm{T} & \mathrm{T} \end{array}$

Example 5: Which of these statement is a fallacy?
1) $p \vee q$
2) $p \wedge q$
3) $p \wedge \sim p$
4) $\sim p \wedge q$

Solution
The truth table for $p \wedge \sim p$ is always "$F$". Hence it is a fallacy.

Frequently Asked Questions (FAQs)

Q: How do tautologies and contradictions contribute to the understanding of logical paradoxes and their resolutions?
A:
Analyzing logical paradoxes often involves identifying hidden contradictions or tautologies within the paradoxical statements. Understanding these concepts helps in dissecting the logical structure of paradoxes and can lead to their resolution or a deeper understanding of the limitations of the logical system in which they arise.
Q: What is the relationship between tautologies, contradictions, and the concept of logical validity in arguments?
A:
An argument is logically valid if the conclusion necessarily follows from the premises. This can be represented as a conditional statement where the conjunction of the premises implies the conclusion. If this conditional is a tautology, the argument is valid.
Q: How can the study of tautologies and contradictions contribute to understanding the limits of computational systems?
A:
The study of tautologies and contradictions is related to decidability problems in computer science. Determining whether an arbitrary logical formula is a tautology is a fundamental problem that helps in understanding the capabilities and limitations of computational systems.
Q: What is the significance of tautologies and contradictions in the development of artificial intelligence and machine learning algorithms?
A:
In AI and machine learning, understanding tautologies and contradictions is crucial for developing logical reasoning systems, knowledge representation schemes, and algorithms for automated theorem proving. It's also important in ensuring the logical consistency of AI-generated outputs.
Q: What is the role of tautologies and contradictions in modal logic?
A:
In modal logic, which deals with necessity and possibility, tautologies are often associated with necessary truths (true in all possible worlds), while contradictions are associated with impossible statements (false in all possible worlds). This extends the concepts beyond classical logic.
Q: How can the study of tautologies and contradictions improve critical thinking skills?
A:
Studying tautologies and contradictions enhances critical thinking by teaching how to analyze the logical structure of arguments, identify circular reasoning, recognize redundant statements, and understand the fundamental principles of valid logical inference.
Q: What is the relationship between tautologies, contradictions, and logical fallacies?
A:
Understanding tautologies and contradictions can help in identifying certain logical fallacies. For example, circular reasoning often involves tautological statements, while contradictions can point to inconsistencies in arguments that lead to fallacious conclusions.
Q: How do tautologies and contradictions behave in fuzzy logic systems?
A:
In fuzzy logic, which allows for degrees of truth, the concepts of tautology and contradiction are extended. A fuzzy tautology might be a statement that always has a high degree of truth, while a fuzzy contradiction might always have a low degree of truth, rather than being strictly true or false.
Q: How can understanding tautologies and contradictions aid in the study of set theory?
A:
In set theory, tautologies and contradictions help in understanding the logical relationships between sets. For example, the law of excluded middle (P ∨ ¬P), a tautology, relates to the principle that an element either belongs to a set or its complement.
Q: What is the role of tautologies and contradictions in probability theory and statistics?
A:
In probability theory, tautologies correspond to events with a probability of 1, while contradictions correspond to events with a probability of 0. Understanding these concepts helps in analyzing compound events and conditional probabilities.