flowchart TB
A["A: All S are P<br/>(S ⊆ P)"] --> AD[Picture: S inside P]
E["E: No S are P<br/>(S ∩ P = ∅)"] --> ED[Picture: S, P disjoint]
I["I: Some S are P<br/>(S ∩ P ≠ ∅)"] --> ID[Picture: x in S ∩ P]
O["O: Some S are not P<br/>(S − P ≠ ∅)"] --> OD[Picture: x in S − P]
classDef default fill:#003366,color:#ffffff,stroke:#ffcc00,stroke-width:3px,rx:10px,ry:10px;
25 Venn diagram: Simple and multiple use for establishing validity of arguments
25.1 What the Syllabus Covers
A Venn diagram, introduced by John Venn (1880), uses overlapping circles to represent sets and the logical relations between them. Each circle represents a set; overlaps represent intersections. The syllabus expects the candidate to use Venn diagrams (a) to show the logical relations among classes (categorical propositions A, E, I, O) and (b) to establish the validity of categorical syllogisms.
PYQs reliably test: (a) drawing the right Venn picture for a given proposition, (b) matching word descriptions (“some teachers are not doctors”) to the correct diagram, (c) using a 3-circle Venn to check syllogism validity, and (d) counting elements in unions and intersections (set-theory questions).
25.2 Set-Theory Vocabulary
| Symbol | Meaning |
|---|---|
| A ∪ B | Union — elements in A or B (or both) |
| A ∩ B | Intersection — elements in both A and B |
| A − B (or A B) | Elements in A but not in B |
| A’ (or A^c) | Complement — elements not in A |
| A ⊆ B | A is a subset of B |
| A ⊂ B | A is a proper subset of B |
| A ≡ B | A and B are identical |
| ∅ | Empty set |
| U | Universal set |
| n(A) | Number of elements (cardinality) of A |
25.2.1 The Key Cardinality Identity
- Two sets: n(A ∪ B) = n(A) + n(B) − n(A ∩ B).
- Three sets: n(A ∪ B ∪ C) = n(A) + n(B) + n(C) − n(A∩B) − n(B∩C) − n(C∩A) + n(A∩B∩C).
- Complement: n(A’) = n(U) − n(A).
- De Morgan’s Laws: (A ∪ B)’ = A’ ∩ B’; (A ∩ B)’ = A’ ∪ B’.
25.3 The Four Standard Venn Pictures (A, E, I, O)
A categorical proposition (Topic 21) has a unique Venn picture using two circles S and P.
- A — All S are P — S is entirely inside P. (Or: shade the part of S that is outside P, since it must be empty.)
- E — No S are P — S and P do not overlap. (Or: shade the S∩P region as empty.)
- I — Some S are P — an x placed inside S∩P (at least one element exists there).
- O — Some S are not P — an x placed inside S but outside P.
25.3.1 Three Standard Set-Relations Between Two Circles
- Inclusion — one circle entirely inside another (subset).
- Disjoint — circles do not overlap (mutual exclusion).
- Overlap — circles partially intersect (some in common, some not).
- Equality — two circles coincide entirely (identical sets).
25.4 Reading PYQ-Style Word Problems
NTA loves questions like:
“Choose the diagram that best illustrates the relation among: Teachers, Doctors, Women.”
The candidate must judge whether each pair is disjoint, overlapping, or one-inside-another.
- Some X are Y → overlapping circles.
- All X are Y → X inside Y.
- No X are Y → disjoint circles.
- All X are Y AND all Y are X → X and Y coincide.
25.4.1 Worked Examples
Q. Pick the diagram for: Teachers, Doctors, Women. Reasoning: Some teachers are women; some teachers are not women. Some doctors are women; some are not. Some teachers are doctors (rare but possible). So all three circles overlap.
Q. Pick the diagram for: Birds, Sparrows, Cats. Reasoning: All sparrows are birds; no cats are birds. Picture: Sparrows entirely inside Birds; Cats disjoint from Birds.
Q. Pick the diagram for: Boys, Children, Students. Reasoning: All boys are children; some students are children (and some are not, e.g., adult students). Some boys are students. → All boys inside Children; Students overlapping with Children, partially overlapping with Boys.
25.5 Venn Diagrams for Syllogism Validity
A categorical syllogism has three terms (S, P, M). A 3-circle Venn diagram is the standard tool for checking validity.
25.5.1 Procedure
- Draw three overlapping circles S, P, M.
-
Diagram each premise in turn (universal first, then particular).
- Universal (A or E) — shade the empty region.
- Particular (I or O) — place an x in the appropriate region. If the x could go in two sub-regions, place it on the boundary between them.
- Read the conclusion from the diagram.
- If the conclusion is forced by what you’ve drawn → valid.
- If the conclusion adds anything not already shown → invalid.
25.5.2 Worked Example
Q. Is this valid? Premise 1: All mammals (M) are warm-blooded (P). [A] Premise 2: All whales (S) are mammals (M). [A] Conclusion: All whales (S) are warm-blooded (P). [A]
Step 1: Draw three circles S, P, M. Step 2: Premise 1 — shade the part of M outside P (empty). Step 3: Premise 2 — shade the part of S outside M (empty). Step 4: Reading: S has no region outside M; M has no region outside P. So S has no region outside P. Conclusion: “All whales are warm-blooded” — forced. Valid (Barbara, AAA-1).
25.5.3 Spotting Invalidity by Venn
- Premises only universal, conclusion particular → check existential assumption (Boolean reading says invalid).
- Premises don’t shade the conclusion region → invalid.
- x doesn’t land cleanly → invalid.
- Counter-example is constructable → invalid.
25.5.4 Five Tests on the 3-Circle Venn
- Only A (just A, no B or C) = A − (B ∪ C) = n(A) − n(A∩B) − n(A∩C) + n(A∩B∩C).
- Exactly two of A, B, C = sum of pair-intersections − 3 × (A∩B∩C).
- Exactly one of A, B, C = total − (pair sums) + 3 × (A∩B∩C) — varies by formula.
- At least one = A ∪ B ∪ C.
- None of the three = U − (A ∪ B ∪ C).
25.6 Set-Theory Numerical Problems
NTA often phrases set problems with numbers — surveys with overlap.
Q. In a class of 60: 35 like maths, 28 like science, 10 like both. How many like neither?
Step: Like at least one = 35 + 28 − 10 = 53. Like neither = 60 − 53 = 7.
Q. In a survey of 100 people: 60 read newspaper A, 50 read B, 30 read both. How many read only A?
Step: Only A = 60 − 30 = 30. Only B = 50 − 30 = 20. Both = 30. Neither = 100 − (30+20+30) = 20.
Q. Among 200 students: 120 study Hindi, 90 study English, 60 study both. How many study only English?
Step: Only English = 90 − 60 = 30.
25.7 Limitations of the Venn Approach
- More than 3 circles — n = 4 needs ellipses (not circles). For n ≥ 5, exact Venn requires special shapes; Euler diagrams are then used.
- Existential commitment — Aristotelian reading (all A are B → some A are B) and Boolean reading (no existential commitment) diverge for syllogisms with two universal premises and a particular conclusion.
- Probability and uncertainty — Venn is set-theoretic, not probabilistic; for probabilistic relations use Bayes.
- Continuous magnitudes — Venn works on categorical class membership, not on degrees.
25.8 Euler vs Venn Diagrams
- Euler diagram (Leonhard Euler, 1768) — draws only the actual relations (subset shown by one inside another; disjoint shown by separation). Region absent in actual relation is not drawn.
- Venn diagram (John Venn, 1880) — draws all possible intersections, then shades empty ones and marks x in non-empty.
PYQs use the term “Venn” but sometimes mean Euler. For syllogism validity, the Venn version is standard.
25.9 Historical Note
- Aristotle (4th c. BCE) — categorical logic without diagrams.
- Gottfried Wilhelm Leibniz (17th c.) — proposed lines and circles for logic.
- Leonhard Euler (1768) — Euler circles.
- John Venn (1880) — On the Diagrammatic and Mechanical Representation of Propositions and Reasonings, introducing Venn diagrams.
- George Boole (1847) — Boolean algebra; modern reading of Venn diagrams.
- Charles Sanders Peirce (1880s onwards) — extensions and existential graphs.
25.10 Practice Questions
The Venn diagram was introduced in 1880 by:
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"All teachers are graduates" (proposition A) is best diagrammed as:
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"Some doctors are women" (proposition I) is best diagrammed as:
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"No fish are mammals" (proposition E) is best diagrammed as:
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Which diagram best represents the relation among: BIRDS, SPARROWS, CATS?
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Which diagram best represents the relation among: TEACHERS, DOCTORS, WOMEN?
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Which diagram best represents: PIGEONS, BIRDS, ANIMALS?
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In a class of 50: 30 study English, 25 study Hindi, 10 study both. How many study neither?
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In a survey of 100 households: 60 read newspaper A, 50 read B, 30 read both. How many read ONLY A?
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In a college: 200 like Tea, 150 like Coffee, 100 like Milk. 60 like Tea & Coffee, 50 like Coffee & Milk, 40 like Tea & Milk, 20 like all three. How many like at least one?
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The notation "A ∩ B" stands for:
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By De Morgan's law, (A ∪ B)' equals:
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Use a Venn test: "All mammals are warm-blooded. Whales are mammals. Therefore whales are warm-blooded." This syllogism is:
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"All cats are mammals. Some pets are mammals. Therefore some pets are cats." On a Venn diagram this is:
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Euler diagrams differ from Venn diagrams in that Euler diagrams:
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Which diagram best represents: STUDENTS, BOYS, GIRLS?
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Which diagram best represents: AUTHORS, POETS, NOVELISTS?
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In a survey of 80: 50 like Cricket, 40 like Football, 20 like both. The number who like ONLY ONE sport is:
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If n(A) = 25, n(B) = 30, n(A∩B) = 10, then n(A∪B) =
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Match each categorical proposition with its Venn picture:
| (i) | A — All S are P | (a) | Overlapping; x in overlap |
| (ii) | E — No S are P | (b) | S inside P |
| (iii) | I — Some S are P | (c) | Two disjoint circles |
| (iv) | O — Some S are not P | (d) | Overlapping; x in S only |
View solution
25.11 Quick Recall
- Venn diagrams — John Venn 1880. Each circle = a set; overlaps = intersections.
- Set vocabulary: ∪ union, ∩ intersection, − difference, ’ complement, ⊆ subset, ∅ empty, U universal, n(A) cardinality.
- Inclusion-exclusion (2 sets): n(A∪B) = n(A) + n(B) − n(A∩B).
- Inclusion-exclusion (3 sets): n(A∪B∪C) = sum of singles − sum of pairs + triple.
- De Morgan: (A∪B)’ = A’∩B’; (A∩B)’ = A’∪B’.
- A — All S are P → S inside P (or shade S outside P).
- E — No S are P → disjoint circles (or shade S∩P).
- I — Some S are P → x in S∩P (overlapping).
- O — Some S are not P → x in S − P.
- 3-circle Venn test for syllogism: shade universal premise first; place x for particular; if conclusion forced → valid.
- Word-problem heuristic: “All X are Y” → X inside Y; “Some” → overlap; “No” → disjoint.
- Euler vs Venn: Euler shows only actual relations; Venn shows all possible intersections + shades empty ones.
- Historical: Aristotle (no diagrams) → Leibniz → Euler 1768 → John Venn 1880 → Boole 1847 → Peirce.
- Limitations: > 3 sets needs ellipses; existential commitment differs between Aristotelian and Boolean readings.