Day 01 – Discrete mathematics for computer science set operation Union Intersection.
Day 01 – Discrete mathematics for computer science set operation Union Intersection.
Contents [hide]
- 0.1 Discrete Mathematics for Computer Science – Set Operations (Union & Intersection)
- 0.2 What is a Set?
- 0.3 Union of Sets (A ∪ B)
- 0.4 Intersection of Sets (A ∩ B)
- 0.5 Venn Diagram Representation
- 0.6 Properties of Union & Intersection
- 0.7 Applications of Set Operations in Computer Science
- 0.8 Database Management (SQL Queries)
- 0.9 Artificial Intelligence & Machine Learning
- 0.10 Networking & Cybersecurity
- 0.11 Searching Algorithms & Data Structures
- 0.12 Probability & Statistics
- 0.13 Probability uses Union & Intersection to calculate event occurrences.
- 0.14 Summary
- 0.15 Day 01 – Discrete mathematics for computer science set operation Union Intersection.
- 0.16 DISCRETE MATHEMATICS FOR COMPUTER SCIENCE
- 0.17 Discrete Mathematics II: Set Theory for …
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Day 01 – Discrete Mathematics for Computer Science
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1. Union of Sets (A ∪ B)
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2. Intersection of Sets (A ∩ B)
Discrete Mathematics for Computer Science – Set Operations (Union & Intersection)
Topic: Set Operations – Union & Intersection
Subject: Discrete Mathematics
Useful For: CSE / IT / GATE / Competitive Exams
What is a Set?
A set is a collection of distinct elements. It is usually represented using curly brackets {}
.
Example:
Set A = {1, 2, 3, 4}
Set B = {3, 4, 5, 6}
Union of Sets (A ∪ B)
The Union (A ∪ B) of two sets includes all elements from both sets, without repetition.
Formula:
A∪B={x ∣ x∈A or x∈B}A ∪ B = \{ x \ | \ x \in A \text{ or } x \in B \}
(Union takes all elements from A and B.)
Example:
A = {1, 2, 3, 4}
B = {3, 4, 5, 6}
A ∪ B = {1, 2, 3, 4, 5, 6}
Key Points:
Union combines elements from both sets.
Duplicates are removed.
Intersection of Sets (A ∩ B)
The Intersection (A ∩ B) of two sets includes only the common elements present in both sets.
Formula:
A∩B={x ∣ x∈A and x∈B}A ∩ B = \{ x \ | \ x \in A \text{ and } x \in B \}
(Intersection finds common elements in A and B.)
Example:
A = {1, 2, 3, 4}
B = {3, 4, 5, 6}
A ∩ B = {3, 4}
Key Points:
Intersection only includes elements that exist in both sets.
If no common elements, intersection = Ø (empty set).
Venn Diagram Representation
Union (A ∪ B) – Covers all elements in both sets.
Intersection (A ∩ B) – Covers only the overlapping region of both sets.
Venn Diagram for A ∪ B and A ∩ B:
Union (A ∪ B)
(Everything inside both circles is included)
Intersection (A ∩ B)
(Only overlapping part of both circles is included)
Properties of Union & Intersection
Property | Union ( ∪ ) | Intersection ( ∩ ) |
---|---|---|
Commutative | A ∪ B = B ∪ A | A ∩ B = B ∩ A |
Associative | (A ∪ B) ∪ C = A ∪ (B ∪ C) | (A ∩ B) ∩ C = A ∩ (B ∩ C) |
Identity Element | A ∪ Ø = A | A ∩ U = A |
Idempotent Law | A ∪ A = A | A ∩ A = A |
Distributive | A ∪ (B ∩ C) = (A ∪ B) ∩ (A ∪ C) | A ∩ (B ∪ C) = (A ∩ B) ∪ (A ∩ C) |
Applications of Set Operations in Computer Science
Database Management (SQL Queries)
UNION operation in SQL retrieves all records from two tables.
INTERSECTION retrieves common records from two tables.
Artificial Intelligence & Machine Learning
Used in classification algorithms to find common or unique data points.
Feature selection in AI models.
Networking & Cybersecurity
Firewalls use set operations to filter allowed & blocked IPs.
Set-based filtering in packet transmission.
Searching Algorithms & Data Structures
Used in hashing & indexing for fast lookup.
Set operations optimize search results.
Probability & Statistics
Probability uses Union & Intersection to calculate event occurrences.
Summary
Union (A ∪ B) → All elements from both sets (Duplicates removed).
Intersection (A ∩ B) → Common elements in both sets.
Used in Databases, AI, Networking, and Algorithms.
Would you like more examples, a Venn diagram, or explanations in Hindi?
Day 01 – Discrete mathematics for computer science set operation Union Intersection.
DISCRETE MATHEMATICS FOR COMPUTER SCIENCE
Discrete Mathematics II: Set Theory for …
Here’s a simple and clear Day 01 lesson on Discrete Mathematics for Computer Science, focused on Set Operations: Union and Intersection.
Day 01 – Discrete Mathematics for Computer Science
Topic: Set Operations – Union & Intersection
What is a Set?
A set is a collection of distinct elements or objects.
Example:
Let
A = {1, 2, 3}
B = {3, 4, 5}
1. Union of Sets (A ∪ B)
Definition:
The union of two sets A and B is a set containing all elements that are in A, or B, or both.
Formula:
A ∪ B = {x | x ∈ A or x ∈ B}
Example:
A = {1, 2, 3}
B = {3, 4, 5}
A ∪ B = {1, 2, 3, 4, 5}
2. Intersection of Sets (A ∩ B)
Definition:
The intersection of two sets A and B is a set containing all elements that are common to both A and B.
Formula:
A ∩ B = {x | x ∈ A and x ∈ B}
Example:
A = {1, 2, 3}
B = {3, 4, 5}
A ∩ B = {3}
Venn Diagram (Optional for Visual Learners):
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Union is the total area covered by both sets.
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Intersection is the overlapping part between the sets.
Quick Practice:
Let X = {a, b, c} and Y = {b, c, d, e}
-
X ∪ Y = ?
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X ∩ Y = ?
(Answer: X ∪ Y = {a, b, c, d, e}, X ∩ Y = {b, c})
Would you like me to include difference, complement, or a worksheet for practice next?