Discrete Mathematics: Complete Exam Notes with Bangla Meanings¶
1. Historical Notes (āĻāϤāĻŋāĻšāĻžāϏāĻŋāĻ āĻā§āĻāĻž)¶
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Georg Ferdinand Ludwig Philipp Cantor: Born March 3, 1845; Died January 6, 1918. He is the founder
(āĻĒā§āϰāϤāĻŋāώā§āĻ āĻžāϤāĻž)of set theory. -
John Venn: Born August 4, 1834; Died April 4, 1923. He introduced
(āĻĒā§āϰāĻŦāϰā§āϤāύ āĻāϰā§āύ)Venn diagrams.
2. Core Definitions (āĻŽā§āϞ āϏāĻāĻā§āĻāĻžāϏāĻŽā§āĻš)¶
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Set (āϏā§āĻ): An unordered
(āĻā§āϰāĻŽāĻšā§āύ/āϝāĻžāϰ āĻā§āύ⧠āύāĻŋāϰā§āĻĻāĻŋāώā§āĻ āϏāĻžāĻāĻžāύā§āϰ āύāĻŋā§āĻŽ āύā§āĻ)collection of objects, finite(āϏāϏā§āĻŽ)or infinite(āĻ āϏā§āĻŽ), that all possess(āĻ āϧāĻŋāĻāĻžāϰ⧠āĻšāĻā§āĻž)the same property: membership(āϏāĻĻāϏā§āϝāĻĒāĻĻ)of the set. -
Elements / Members (āĻāĻĒāĻžāĻĻāĻžāύ/āϏāĻĻāϏā§āϝ): The objects in a set. The elements are said to belong to
(āĻ āύā§āϤāϰā§āĻā§āĻā§āϤ āĻšāĻā§āĻž)that set, and a set is said to contain(āϧāĻžāϰāĻŖ āĻāϰāĻž)its elements. -
Membership Notation (āϏāĻĻāϏā§āϝāϤāĻž āĻĒā§āϰāĻāĻžāĻļā§āϰ āĻāĻŋāĻšā§āύ):
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\(a \in A\) denotes
(āύāĻŋāϰā§āĻĻā§āĻļ āĻāϰā§)that \(a\) is an element of set \(A\). -
\(a \notin A\) denotes that \(a\) is not an element of set \(A\).
3. Methods of Describing Sets (āϏā§āĻ āĻĒā§āϰāĻāĻžāĻļā§āϰ āĻĒāĻĻā§āϧāϤāĻŋāϏāĻŽā§āĻš)¶
There are three standard ways to describe a set according to the slides:
A. Braces / Roster Method (āĻĻā§āĻŦāĻŋāϤā§ā§ āĻŦāύā§āϧāύ⧠āĻŦāĻž āϤāĻžāϞāĻŋāĻāĻž āĻĒāĻĻā§āϧāϤāĻŋ)¶
Listing all elements explicitly (āϏā§āĻĒāώā§āĻāĻāĻžāĻŦā§) between braces {}.
- Example: The set \(V\) of all vowels
(āϏā§āĻŦāϰāĻŦāϰā§āĻŖ)in the English alphabet: \(V = \{a, e, i, o, u\}\).
B. Ellipses Notation (āĻāĻĒāĻŦā§āϤā§āϤ āĻŦāĻž āĻĄāĻ āĻĄāĻ āĻāĻŋāĻšā§āύ ...)¶
Used to describe a set without listing all members when the general pattern (āϏāĻžāϧāĻžāϰāĻŖ āϧāĻžāϰāĻž) of the elements is obvious (āϏā§āĻĒāώā§āĻ/āϏāĻšāĻā§āĻ āĻŦā§āĻāĻž āϝāĻžā§).
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Finite Example: Positive integers
(āϧāύāĻžāϤā§āĻŽāĻ āĻĒā§āϰā§āĻŖāϏāĻāĻā§āϝāĻž)less than 100: \(C = \{1, 2, 3, \dots, 99\}\). -
Infinite Example 1: Natural numbers
(āϏā§āĻŦāĻžāĻāĻžāĻŦāĻŋāĻ āϏāĻāĻā§āϝāĻž): \(\mathbb{N} = \{0, 1, 2, 3, \dots\}\). -
Infinite Example 2: Integers
(āĻĒā§āϰā§āĻŖāϏāĻāĻā§āϝāĻž): \(\mathbb{Z} = \{\dots, -2, -1, 0, 1, 2, \dots\}\).
C. Set-Builder Notation (āϏā§āĻ āĻāĻ āύ āĻĒāĻĻā§āϧāϤāĻŋ)¶
We characterize (āĻŦā§āĻļāĻŋāώā§āĻā§āϝ āύāĻŋāϰā§āϧāĻžāϰāĻŖ āĻāϰāĻž) all those elements in the set by stating the property or properties they must have to be members.
- Example 1: The set \(O\) of all odd positive integers
(āĻŦāĻŋāĻā§ā§ āϧāύāĻžāϤā§āĻŽāĻ āĻĒā§āϰā§āĻŖāϏāĻāĻā§āϝāĻž)less than 10:
(Note: \(\land\) means 'and')
- Example 2: The set of rational numbers
(āĻŽā§āϞāĻĻ āϏāĻāĻā§āϝāĻž)\(\mathbb{Q}\):
4. Important Standard Sets (āĻā§āϰā§āϤā§āĻŦāĻĒā§āϰā§āĻŖ āϏā§āĻā§āϝāĻžāύā§āĻĄāĻžāϰā§āĻĄ āϏā§āĻāϏāĻŽā§āĻš)¶
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\(\mathbb{N} = \{0, 1, 2, 3, \dots\}\) : The set of Natural numbers. (Note: 0 is included here)
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\(\mathbb{Z} = \{\dots, -2, -1, 0, 1, 2, \dots\}\) : The set of Integers.
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\(\mathbb{Z}^+ = \{1, 2, 3, \dots\}\) : The set of Positive integers.
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\(\mathbb{Q} = \{p/q \mid (p \in \mathbb{Z}) \land (q \in \mathbb{Z}) \land (q \neq 0)\}\) : The set of Rational numbers.
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\(\mathbb{R}\) : The set of Real numbers
(āĻŦāĻžāϏā§āϤāĻŦ āϏāĻāĻā§āϝāĻž). -
\(\mathbb{C}\) : The set of Complex numbers
(āĻāĻāĻŋāϞ āϏāĻāĻā§āϝāĻž).
5. Set Equality and Special Sets (āϏā§āĻā§āϰ āϏāĻŽāϤāĻž āĻāĻŦāĻ āĻŦāĻŋāĻļā§āώ āϏā§āĻ)¶
- Definition of Equality: Two sets are equal if and only if
(āĻā§āĻŦāϞ āĻāĻŦāĻ āĻā§āĻŦāϞ āϝāĻĻāĻŋ)they have the same elements. Order does not matter.
(Note: \(\forall\) means 'for all', \(\leftrightarrow\) means 'if and only if')
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Example: The sets \(\{1, 3, 5\}\) and \(\{3, 5, 1\}\) are equal.
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Empty Set / Null Set (āĻĢāĻžāĻāĻāĻž āϏā§āĻ): A special set that has no elements. It is denoted by
(āĻāĻŋāĻšā§āύ āĻĻā§āĻŦāĻžāϰāĻž āĻĒā§āϰāĻāĻžāĻļ āĻāϰāĻž)\(\emptyset\) or by \(\{\}\). -
Singleton (āĻāĻāĻĒāĻĻā§ āϏā§āĻ): A set that contains exactly one element.
6. Subsets (āĻāĻĒāϏā§āĻ)¶
- Definition: Set \(A\) is said to be a subset of set \(B\), denoted by \(A \subseteq B\), if and only if every element of \(A\) is also an element of \(B[cite: 1]\).
(Note: \(\rightarrow\) means 'implies' or 'then')
- Proper Subset (āĻĒā§āϰāĻā§āϤ āĻāĻĒāϏā§āĻ): When we wish to emphasize
(āĻā§āϰ āĻĻā§āĻā§āĻž/āĻŦāĻŋāĻļā§āώāĻāĻžāĻŦā§ āĻŦā§āĻāĻžāύā§)that \(A\) is a subset of \(B\) but \(A \neq B\), we write \(A \subset B\) or \(A \subsetneq B\).
Two Subsets of a Non-Empty Set (āĻĻā§āĻāĻŋ āĻ āĻŦāĻļāĻŽā§āĻāĻžāĻŦā§ āĻāĻĒāϏā§āĻ)¶
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Theorem 1: The empty set is a subset of all the sets (\(\emptyset \subseteq S\), for any set \(S\)).
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Theorem 2: Every set is a subset of itself (\(S \subseteq S\), for any set \(S\)).
7. Venn Diagrams (āĻā§āύ āĻāĻŋāϤā§āϰ)¶
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Universal Set (āϏāĻžāϰā§āĻŦāĻŋāĻ āϏā§āĻ): The set \(U\) which contains all the objects under consideration
(āĻŦāĻŋāĻŦā§āĻāύāĻžāϧā§āύ). It is represented by a rectangle(āĻā§āϤāĻā§āώā§āϤā§āϰ). It varies(āĻĒāϰāĻŋāĻŦāϰā§āϤāύ āĻšā§)depending on which objects are of interest. -
Inside the rectangle, circles or other geometrical figures
(āĻā§āϝāĻžāĻŽāĻŋāϤāĻŋāĻ āĻāĻŋāϤā§āϰ)represent sets. -
Sometimes points are used to represent particular
(āύāĻŋāϰā§āĻĻāĻŋāώā§āĻ)elements.
8. Cardinality and Power Set (āĻāĻžāϰā§āĻĄāĻŋāύāĻžāϞāĻŋāĻāĻŋ āĻāĻŦāĻ āĻĒāĻžāĻā§āĻžāϰ āϏā§āĻ)¶
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Cardinality (āϏā§āĻā§āϰ āĻāĻĒāĻžāĻĻāĻžāύ āϏāĻāĻā§āϝāĻž): Let \(S\) be a set. If there are exactly \(n\) distinct
(āϏā§āĻŦāϤāύā§āϤā§āϰ/āĻāϞāĻžāĻĻāĻž āĻāϞāĻžāĻĻāĻž)elements in \(S\) where \(n\) is a non-negative integer(āĻ -āĻāĻŖāĻžāϤā§āĻŽāĻ āĻĒā§āϰā§āĻŖāϏāĻāĻā§āϝāĻž), we say \(S\) is a finite set and \(n\) is the cardinality of \(S\). -
It is denoted by \(|S|\).
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An infinite set is a set that is not finite.
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The cardinality of the empty set is 0 (\(|\emptyset| = 0\)).
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Power Set (āĻļāĻā§āϤāĻŋ āϏā§āĻ): Given a set \(S\), the power set of \(S\) is the set of all the subsets of \(S\). It is denoted by \(\mathcal{P}(S)\).
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Example: If \(S = \{0, 1, 2\}\), then \(\mathcal{P}(S) = \{\emptyset, \{0\}, \{1\}, \{2\}, \{0, 1\}, \{0, 2\}, \{1, 2\}, \{0, 1, 2\}\}\).
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Formula: If \(|S| = n\), then \(|\mathcal{P}(S)| = 2^n\).
9. Ordered \(n\)-tuples and Cartesian Product (āĻā§āϰāĻŽāĻŋāϤ n-āĻā§ā§ āĻāĻŦāĻ āĻāĻžāϰā§āϤā§āϏā§āϝāĻŧ āĻā§āĻŖāĻ)¶
Ordered \(n\)-tuple (āĻā§āϰāĻŽāĻŋāϤ n-āĻā§ā§)¶
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The ordered \(n\)-tuple \((a_1, a_2, \dots, a_n)\) is the ordered collection
(āĻā§āϰāĻŽ āϏāĻžāĻāĻžāύ⧠āϏāĻāĻā§āϰāĻš)that has \(a_1\) as its first element, \(a_2\) as its second element, and \(a_n\) as its \(n\)-th element. -
Two \(n\)-tuples are equal if and only if each corresponding pair
(āĻ āύā§āϰā§āĻĒ āĻā§ā§āĻž)of their elements is equal. -
We call 2-tuples couples or ordered pairs
(āĻā§āϰāĻŽāĻā§ā§).
Cartesian Product of Two Sets (\(A \times B\))¶
- The Cartesian product of \(A\) and \(B\), denoted by \(A \times B\), is the set of all ordered pairs \((a, b)\), where \(a \in A\) and \(b \in B\).
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Example: If \(A = \{1, 2\}\) and \(B = \{a, b, c\}\), then \(A \times B = \{(1, a), (1, b), (1, c), (2, a), (2, b), (2, c)\}\).
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Crucial Note: The Cartesian products \(A \times B\) and \(B \times A\) are, in general, not equal
(āϏāĻžāϧāĻžāϰāĻŖāϤ āϏāĻŽāĻžāύ āĻšā§ āύāĻž).
Cartesian Product of \(n\) Sets (\(A_1 \times A_2 \times \dots \times A_n\))¶
- The set of ordered \(n\)-tuples \((a_1, a_2, \dots, a_n)\), where \(a_i\) belongs to \(A_i\) for \(i = 1, 2, \dots, n\).
- Some authors use the notation
(āĻĒā§āϰāϤā§āĻ/āĻāĻŋāĻšā§āύ): \(\prod_{i=1}^{n} A_i\).
Here is your structured, comprehensive exam note for Set Operations based exactly on your slides. Uncommon or technical words are translated into Bangla (āĻŦāĻžāĻāϞāĻž) right next to them to maximize your last-minute revision efficiency.
Discrete Mathematics: Lecture Notes on Set Operations¶
1. Fundamental Set Operations (āĻŽā§āϞāĻŋāĻ āϏā§āĻ āĻĒā§āϰāĻā§āϰāĻŋā§āĻžāϏāĻŽā§āĻš)¶
A. Union of Sets (āϏā§āĻā§āϰ āϏāĻāϝā§āĻ)¶
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Definition: The union of sets \(A\) and \(B\), denoted by
(āĻāĻŋāĻšā§āύ āĻĻā§āĻŦāĻžāϰāĻž āĻĒā§āϰāĻāĻžāĻļāĻŋāϤ)\(A \cup B\), is the set that contains those elements that are either in \(A\) or in \(B\), or in both. -
Logical Form:
(Note: \(\vee\) represents the logical 'OR' operator)
B. Intersection of Sets (āϏā§āĻā§āϰ āĻā§āĻĻ)¶
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Definition: The intersection of sets \(A\) and \(B\), denoted by \(A \cap B\), is the set containing those elements that are in both \(A\) and \(B\).
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Logical Form:
(Note: \(\wedge\) represents the logical 'AND' operator)
C. Disjoint Sets (āύāĻŋāĻļā§āĻā§āĻĻ āϏā§āĻ)¶
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Definition: Two sets are called disjoint if their intersection is the empty set
(āĻĢāĻžāĻāĻāĻž āϏā§āĻ). -
Mathematical Condition: \(A \cap B = \emptyset\).
D. Difference of Sets (āϏā§āĻā§āϰ āĻ āύā§āϤāϰ)¶
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Definition: The difference of \(A\) and \(B\), denoted by \(A - B\), is the set containing those elements that are in \(A\) but not in \(B\).
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Alternative Name: It is also called the complement
(āĻĒā§āϰāĻ)of \(B\) with respect to \(A\)(A āĻāϰ āϏāĻžāĻĒā§āĻā§āώ⧠B āĻāϰ āĻĒā§āϰāĻ). -
Logical Form:
E. Symmetric Difference of Sets (āϏā§āĻā§āϰ āϏā§āώāĻŽ āĻ āύā§āϤāϰ)¶
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Definition: The symmetric difference of \(A\) and \(B\), denoted by \(A \oplus B\), is the set containing those elements in either \(A\) or \(B\), but not in both \(A\) and \(B\).
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Logical Form:
(Note: \(\oplus\) represents the logical 'Exclusive OR / XOR' operator)
F. Complement of Sets (āϏā§āĻā§āϰ āĻĒāϰāĻŽ āĻĒā§āϰāĻ)¶
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Definition: Let \(U\) be the universal set
(āϏāĻžāϰā§āĻŦāĻŋāĻ āϏā§āĻ). The complement of set \(A\), denoted by \(\overline{A}\) or \(A^c\), is the set containing those elements that are in \(U\) but not in \(A\). -
Key Property: It is essentially the complement of \(A\) with respect to \(U\), meaning \(U - A\).
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Logical Form:
2. Principle of Inclusion-Exclusion (āĻ āύā§āϤāϰā§āĻā§āĻā§āϤāĻŋ-āĻŦāϰā§āĻāύā§āϰ āύā§āϤāĻŋ)¶
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Core Concept: The number of elements in the union of two sets is equal to the number of elements in the first set plus
(āϝā§āĻ)the number of elements in the second one, minus(āĻŦāĻŋā§ā§āĻ)the number of elements in their intersection. -
Reasoning: The intersection elements must be subtracted because they were counted twice
(āĻĻā§āĻāĻŦāĻžāϰ āĻāĻŖāύāĻž āĻāϰāĻž āĻšā§ā§āĻāĻŋāϞ)when adding \(|A|\) and \(|B|\). -
Theorem Formula:
3. Set Identities (āϏā§āĻā§āϰ āĻ āĻā§āĻĻāϏāĻŽā§āĻš / āϏā§āϤā§āϰāĻžāĻŦāϞā§)¶
You must memorize these laws and names perfectly for the exam:
4. Membership Table (āϏāĻĻāϏā§āϝāϤāĻž āϏāĻžāϰāĻŖā§)¶
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Purpose: Used to consider each combination
(āϏāĻŽāĻžāĻŦā§āĻļ)of sets that an element can belong to and verify(āĻĒā§āϰāĻŽāĻžāĻŖ āĻāϰāĻž)that the set identity holds true. -
Rules:
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Use 1 to indicate
(āύāĻŋāϰā§āĻĻā§āĻļ āĻāϰāϤā§)that an element is in a set. -
Use 0 to indicate that an element is not in a set.
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Example from Slides: Verifying De Morgan's Law \(\overline{A \cup B} = \overline{A} \cap \overline{B}\):
| \(A\) | \(B\) | \(A \cup B\) | \(\overline{A \cup B}\) | \(\overline{A}\) | \(\overline{B}\) | \(\overline{A} \cap \overline{B}\) |
|---|---|---|---|---|---|---|
| 1 | 1 | 1 | 0 | 0 | 0 | 0 |
| 1 | 0 | 1 | 0 | 0 | 1 | 0 |
| 0 | 1 | 1 | 0 | 1 | 0 | 0 |
| 0 | 0 | 0 | 1 | 1 | 1 | 1 |
(Since the columns for \(\overline{A \cup B}\) and \(\overline{A} \cap \overline{B}\) match identically, the law is verified.)
5. Generalized Operations (āϏāĻžāϧāĻžāϰāĻŖā§āĻā§āϤ āĻŦāĻž āĻŦāĻšā§-āϏā§āĻ āĻĒā§āϰāĻā§āϰāĻŋā§āĻžāĻāϰāĻŖ)¶
A. Generalized Union of Sets (āϏāĻžāϧāĻžāϰāĻŖā§āĻā§āϤ āϏāĻāϝā§āĻ)¶
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Definition: The union of a collection
(āϏāĻāĻā§āϰāĻš)of sets is the set that contains those elements that are members of at least one(āĻāĻŽāĻĒāĻā§āώ⧠āĻāĻāĻāĻŋ)set in the collection. -
Notation:
B. Generalized Intersection of Sets (āϏāĻžāϧāĻžāϰāĻŖā§āĻā§āϤ āĻā§āĻĻ)¶
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Definition: The intersection of a collection of sets is the set that contains those elements that are members of all the sets
(āĻĒā§āϰāϤā§āϝā§āĻāĻāĻŋ āϏā§āĻā§āϰ)in the collection. -
Notation:



