Summarize this article:
1313 LearnersLast updated on November 28, 2025

Tautology is a fundamental concept when learning about logic and reasoning. It refers to a statement that is always true, and it is often illustrated using truth tables. In this topic, we are going to talk about tautology and show how truth tables are represented.
A tautology is a logical statement that remains always true, no matter whether the individual parts that are sentences or propositions are true or false. As Rudy Rucker explains, it is a logical combination of sentences that is true in every possible situation. The term tautology comes from the Greek word tauto, meaning “same” and logy, meaning “logic”, referring to statements that repeat the same truth in different forms.
To determine whether a statement is a tautology in logic, we use a tautology truth table. After constructing the table, if the final column contains only T (true) values, the statement is classified as a tautology. You can also use a tautology calculator to check this automatically.
For example, "Emanuel will dance" or "Emanuel will not dance" is a tautology, as it covers all possibilities.
Tautology, contradiction, and contingency are types of statements. They show if a statement is always true, always false, or sometimes true.
| Property | Tautology | Contradiction | Contingency |
| Definition | A statement that is always true, no matter the truth of its parts. | A statement that is always false, no matter the truth of its parts. | A statement that can be true or false depending on the truth of its parts. |
| Truth Table | Every row in the truth table is true (T). | Every row in the truth table is false (F). | Some rows are true (T) and some are false (F). |
| Logical Form | P VᆨP (P or not P) | P ΛᆨP (P and not P) | P Λ Q (P and Q) or P V Q (P or Q), where P and Q vary. |
| Example | “It is either raining or it is not raining.” | “It is raining, and it is not raining.” | “It is raining, and it is cold.” or “it is raining, or it is cold” |
| Usage | Helps validate logical arguments and simplify statements. | Highlights impossible situations or contradictions. | Represents real-life scenarios with varying outcomes. |
Logical symbols are used to combine simple statements to form compound statements, a process called logical operations. There are five main logical operations: AND, OR, NOT, Conditional, and Bi-conditional. Let’s learn each operation along with its meaning and truth table.
| x | y | x Λ y |
| T | T | T |
| T | F | F |
| F | T | F |
| F | F | F |
| x | y | x V y |
| T | T | T |
| T | F | T |
| F | T | T |
| F | F | F |
NOT Operation
The NOT operation changes the truth value of a statement and is called negation. It is represented by ‘~’.
| x | ~x |
| T | F |
| F | T |
| x | y | x ⇒ y |
| T | T | T |
| T | F | F |
| F | T | T |
| F | F | T |
Bi-conditional Operation
A bi-conditional statement uses “if and only if” and is represented by ‘⇔’ (equivalent).
| x | y | x ⇔ y |
| T | T | T |
| T | F | F |
| F | T | F |
| F | F | T |


To prove a tautology, we use a truth table to check all possible truth values of a statement. If the final column is true in every case, the statement is a tautology.
Step 1: First, write the compound statement you want to test.
Step 2: List all simple statements that are involved in the compound statement.
Step 3: Create a truth table with columns for each simple statement and for each part of the compound statement.
Step 4: Calculate the truth values for each row of the table using logical operations (AND, OR, NOT, etc.).
Step 5: Check the final column of the truth table. If all rows are true (T), the statement is a tautology. If not, it is either a contradiction or a contingency.
Tautology, contradiction, and contingency are types of statements. They show if a statement is always true, always false, or sometimes true.
| Property | Tautology | Contradiction | Contingency |
| Definition | A statement that is always true, no matter the truth of its parts. | A statement that is always false, no matter the truth of its parts. | A statement that can be true or false depending on the truth of its parts. |
| Truth Table | Every row in the truth table is true (T). | Every row in the truth table is false (F). | Some rows are true (T) and some are false (F). |
| Logical Form | P VᆨP (P or not P) | P ΛᆨP (P and not P) | P Λ Q (P and Q) or P V Q (P or Q), where P and Q vary. |
| Example | “It is either raining or it is not raining.” | “It is raining, and it is not raining.” | “It is raining, and it is cold.” or “it is raining, or it is cold” |
| Usage | Helps validate logical arguments and simplify statements. | Highlights impossible situations or contradictions. | Represents real-life scenarios with varying outcomes. |
Learn easy tips and tricks to understand and master tautologies, so you can quickly identify statements that are always true.
Learning tautology can get tricky, especially for beginners. However, learning about some common mistakes and ways to avoid them can go a long way in mastering tautology. So let us take a look at some of the common mistakes:
Tautologies are used in real life, math, and programming to make sure a statement is always true.
Is the statement P ∨ ¬P a tautology?
Yes, it is a tautology.
The statement means P OR NOT P.
If P is true,\( P ∨ ¬ P = T ∨ F = True. \)
If P is false, \(P ∨ ¬ P = F ∨ T = True\).
Since it is always true, it is a tautology.
Is ¬(P ∧ ¬P) a tautology?
Yes, this statement is a tautology.
The expression means the negation of (P AND NOT P).
If P is true, then ¬ P is false, making \(P ∧ ¬ P = False\).
If P is false, then ¬ P is true, making \(P ∧ ¬ P = False\).
In both cases, \(¬(P ∧ ¬ P) = True\).
Is the statement P → (P ∨ Q) a tautology?
Yes, it is a tautology.
\(P → (P ∨ Q)\) means if P is true, then P OR Q is true.
If P = True, then P ∨ Q = True, so the statement is true.
If P = False, then an implication (False → anything) is always true.
Since all cases are true, the statement is a tautology.
Is P ∨ P a tautology?
No, it is not a tautology.
\(P ∨ P = P\), meaning it depends on the truth value of P.
If P is false, P ∨ P = False.
Because it is not always true, the statement is not a tautology.
Is (P ∧ (P ∨ Q)) ↔ P a tautology?
Yes, it is a tautology.
\(P ∧ (P ∨ Q)\) simplifies to P, because if P is true, then (P ∨ Q) is true, so \(P ∧ (P ∨ Q) = P\). If P is false, the whole expression is false, hence it equals P.
The biconditional (↔) checks for equality, and both sides are always equal.
Jaipreet Kour Wazir is a data wizard with over 5 years of expertise in simplifying complex data concepts. From crunching numbers to crafting insightful visualizations, she turns raw data into compelling stories. Her journey from analytics to education ref
: She compares datasets to puzzle games—the more you play with them, the clearer the picture becomes!






