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Discrete Mathematics: Complete Exam Notes with Bangla Meanings

1. Historical Notes (āϐāϤāĻŋāĻšāĻžāϏāĻŋāĻ• āĻŸā§€āĻ•āĻž)

  • Georg Ferdinand Ludwig Philipp Cantor: Born March 3, 1845; Died January 6, 1918. He is the founder (āĻĒā§āϰāϤāĻŋāĻˇā§āĻ āĻžāϤāĻž) of set theory.

  • John Venn: Born August 4, 1834; Died April 4, 1923. He introduced (āĻĒā§āϰāĻŦāĻ°ā§āϤāύ āĻ•āϰ⧇āύ) Venn diagrams.

2. Core Definitions (āĻŽā§‚āϞ āϏāĻ‚āĻœā§āĻžāĻžāϏāĻŽā§‚āĻš)

  • Set (āϏ⧇āϟ): An unordered (āĻ•ā§āϰāĻŽāĻšā§€āύ/āϝāĻžāϰ āϕ⧋āύ⧋ āύāĻŋāĻ°ā§āĻĻāĻŋāĻˇā§āϟ āϏāĻžāϜāĻžāύ⧋āϰ āύāĻŋ⧟āĻŽ āύ⧇āχ) collection of objects, finite (āϏāϏ⧀āĻŽ) or infinite (āĻ…āϏ⧀āĻŽ), that all possess (āĻ…āϧāĻŋāĻ•āĻžāϰ⧀ āĻšāĻ“ā§ŸāĻž) the same property: membership (āϏāĻĻāĻ¸ā§āϝāĻĒāĻĻ) of the set.

  • Elements / Members (āωāĻĒāĻžāĻĻāĻžāύ/āϏāĻĻāĻ¸ā§āϝ): The objects in a set. The elements are said to belong to (āĻ…āĻ¨ā§āϤāĻ°ā§āϭ⧁āĻ•ā§āϤ āĻšāĻ“ā§ŸāĻž) that set, and a set is said to contain (āϧāĻžāϰāĻŖ āĻ•āϰāĻž) its elements.

  • Membership Notation (āϏāĻĻāĻ¸ā§āϝāϤāĻž āĻĒā§āϰāĻ•āĻžāĻļ⧇āϰ āϚāĻŋāĻšā§āύ):

  • \(a \in A\) denotes (āύāĻŋāĻ°ā§āĻĻ⧇āĻļ āĻ•āϰ⧇) 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 (āϏ⧇āϟ āĻĒā§āϰāĻ•āĻžāĻļ⧇āϰ āĻĒāĻĻā§āϧāϤāĻŋāϏāĻŽā§‚āĻš)

There are three standard ways to describe a set according to the slides:

A. Braces / Roster Method (āĻĻā§āĻŦāĻŋāĻ¤ā§€ā§Ÿ āĻŦāĻ¨ā§āϧāύ⧀ āĻŦāĻž āϤāĻžāϞāĻŋāĻ•āĻž āĻĒāĻĻā§āϧāϤāĻŋ)

Listing all elements explicitly (āĻ¸ā§āĻĒāĻˇā§āϟāĻ­āĻžāĻŦ⧇) between braces {}.

  • Example: The set \(V\) of all vowels (āĻ¸ā§āĻŦāϰāĻŦāĻ°ā§āĻŖ) in the English alphabet: \(V = \{a, e, i, o, u\}\).

B. Ellipses Notation (āωāĻĒāĻŦ⧃āĻ¤ā§āϤ āĻŦāĻž āĻĄāϟ āĻĄāϟ āϚāĻŋāĻšā§āύ ...)

Used to describe a set without listing all members when the general pattern (āϏāĻžāϧāĻžāϰāĻŖ āϧāĻžāϰāĻž) of the elements is obvious (āĻ¸ā§āĻĒāĻˇā§āϟ/āϏāĻšāĻœā§‡āχ āĻŦā§‹āĻāĻž āϝāĻžā§Ÿ).

  • Finite Example: Positive integers (āϧāύāĻžāĻ¤ā§āĻŽāĻ• āĻĒā§‚āĻ°ā§āĻŖāϏāĻ‚āĻ–ā§āϝāĻž) less than 100: \(C = \{1, 2, 3, \dots, 99\}\).

  • Infinite Example 1: Natural numbers (āĻ¸ā§āĻŦāĻžāĻ­āĻžāĻŦāĻŋāĻ• āϏāĻ‚āĻ–ā§āϝāĻž): \(\mathbb{N} = \{0, 1, 2, 3, \dots\}\).

  • Infinite Example 2: Integers (āĻĒā§‚āĻ°ā§āĻŖāϏāĻ‚āĻ–ā§āϝāĻž): \(\mathbb{Z} = \{\dots, -2, -1, 0, 1, 2, \dots\}\).

C. Set-Builder Notation (āϏ⧇āϟ āĻ—āĻ āύ āĻĒāĻĻā§āϧāϤāĻŋ)

We characterize (āĻŦ⧈āĻļāĻŋāĻˇā§āĻŸā§āϝ āύāĻŋāĻ°ā§āϧāĻžāϰāĻŖ āĻ•āϰāĻž) 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 (āĻŦāĻŋāĻœā§‹ā§œ āϧāύāĻžāĻ¤ā§āĻŽāĻ• āĻĒā§‚āĻ°ā§āĻŖāϏāĻ‚āĻ–ā§āϝāĻž) less than 10:
\[O = \{x \mid (x \in \mathbb{N}) \land (x < 10) \land (x \text{ is odd})\}\]

(Note: \(\land\) means 'and')

  • Example 2: The set of rational numbers (āĻŽā§‚āϞāĻĻ āϏāĻ‚āĻ–ā§āϝāĻž) \(\mathbb{Q}\):
\[\mathbb{Q} = \{a/b \mid (a \in \mathbb{Z}) \land (b \in \mathbb{Z}) \land (b \neq 0)\}\]

4. Important Standard Sets (āϗ⧁āϰ⧁āĻ¤ā§āĻŦāĻĒā§‚āĻ°ā§āĻŖ āĻ¸ā§āĻŸā§āϝāĻžāĻ¨ā§āĻĄāĻžāĻ°ā§āĻĄ āϏ⧇āϟāϏāĻŽā§‚āĻš)

  • \(\mathbb{N} = \{0, 1, 2, 3, \dots\}\) : The set of Natural numbers. (Note: 0 is included here)

  • \(\mathbb{Z} = \{\dots, -2, -1, 0, 1, 2, \dots\}\) : The set of Integers.

  • \(\mathbb{Z}^+ = \{1, 2, 3, \dots\}\) : The set of Positive integers.

  • \(\mathbb{Q} = \{p/q \mid (p \in \mathbb{Z}) \land (q \in \mathbb{Z}) \land (q \neq 0)\}\) : The set of Rational numbers.

  • \(\mathbb{R}\) : The set of Real numbers (āĻŦāĻžāĻ¸ā§āϤāĻŦ āϏāĻ‚āĻ–ā§āϝāĻž).

  • \(\mathbb{C}\) : The set of Complex numbers (āϜāϟāĻŋāϞ āϏāĻ‚āĻ–ā§āϝāĻž).

5. Set Equality and Special Sets (āϏ⧇āĻŸā§‡āϰ āϏāĻŽāϤāĻž āĻāĻŦāĻ‚ āĻŦāĻŋāĻļ⧇āώ āϏ⧇āϟ)

  • Definition of Equality: Two sets are equal if and only if (āϕ⧇āĻŦāϞ āĻāĻŦāĻ‚ āϕ⧇āĻŦāϞ āϝāĻĻāĻŋ) they have the same elements. Order does not matter.
\[\forall x (x \in A \leftrightarrow x \in B)\]

(Note: \(\forall\) means 'for all', \(\leftrightarrow\) means 'if and only if')

  • Example: The sets \(\{1, 3, 5\}\) and \(\{3, 5, 1\}\) are equal.

  • Empty Set / Null Set (āĻĢāĻžāρāĻ•āĻž āϏ⧇āϟ): A special set that has no elements. It is denoted by (āϚāĻŋāĻšā§āύ āĻĻā§āĻŦāĻžāϰāĻž āĻĒā§āϰāĻ•āĻžāĻļ āĻ•āϰāĻž) \(\emptyset\) or by \(\{\}\).

  • Singleton (āĻāĻ•āĻĒāĻĻā§€ āϏ⧇āϟ): A set that contains exactly one element.

6. Subsets (āωāĻĒāϏ⧇āϟ)

  • 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 \(B[cite: 1]\).
\[\forall x (x \in A \rightarrow x \in B)\]

(Note: \(\rightarrow\) means 'implies' or 'then')

  • Proper Subset (āĻĒā§āϰāĻ•ā§ƒāϤ āωāĻĒāϏ⧇āϟ): When we wish to emphasize (āĻœā§‹āϰ āĻĻ⧇āĻ“ā§ŸāĻž/āĻŦāĻŋāĻļ⧇āώāĻ­āĻžāĻŦ⧇ āĻŦā§‹āĻāĻžāύ⧋) 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 (āĻĻ⧁āϟāĻŋ āĻ…āĻŦāĻļāĻŽā§āĻ­āĻžāĻŦā§€ āωāĻĒāϏ⧇āϟ)

  • Theorem 1: The empty set is a subset of all the sets (\(\emptyset \subseteq S\), for any set \(S\)).

  • Theorem 2: Every set is a subset of itself (\(S \subseteq S\), for any set \(S\)).

7. Venn Diagrams (āϭ⧇āύ āϚāĻŋāĻ¤ā§āϰ)

  • Universal Set (āϏāĻžāĻ°ā§āĻŦāĻŋāĻ• āϏ⧇āϟ): The set \(U\) which contains all the objects under consideration (āĻŦāĻŋāĻŦ⧇āϚāύāĻžāϧ⧀āύ). It is represented by a rectangle (āĻ†ā§ŸāϤāĻ•ā§āώ⧇āĻ¤ā§āϰ). It varies (āĻĒāϰāĻŋāĻŦāĻ°ā§āϤāύ āĻšā§Ÿ) depending on which objects are of interest.

  • Inside the rectangle, circles or other geometrical figures (āĻœā§āϝāĻžāĻŽāĻŋāϤāĻŋāĻ• āϚāĻŋāĻ¤ā§āϰ) represent sets.

  • Sometimes points are used to represent particular (āύāĻŋāĻ°ā§āĻĻāĻŋāĻˇā§āϟ) elements.

8. Cardinality and Power Set (āĻ•āĻžāĻ°ā§āĻĄāĻŋāύāĻžāϞāĻŋāϟāĻŋ āĻāĻŦāĻ‚ āĻĒāĻžāĻ“ā§ŸāĻžāϰ āϏ⧇āϟ)

  • Cardinality (āϏ⧇āĻŸā§‡āϰ āωāĻĒāĻžāĻĻāĻžāύ āϏāĻ‚āĻ–ā§āϝāĻž): Let \(S\) be a set. If there are exactly \(n\) distinct (āĻ¸ā§āĻŦāϤāĻ¨ā§āĻ¤ā§āϰ/āφāϞāĻžāĻĻāĻž āφāϞāĻžāĻĻāĻž) elements in \(S\) where \(n\) is a non-negative integer (āĻ…-āĻ‹āĻŖāĻžāĻ¤ā§āĻŽāĻ• āĻĒā§‚āĻ°ā§āĻŖāϏāĻ‚āĻ–ā§āϝāĻž), we say \(S\) is a finite set and \(n\) is the cardinality of \(S\).

  • It is denoted by \(|S|\).

  • An infinite set is a set that is not finite.

  • The cardinality of the empty set is 0 (\(|\emptyset| = 0\)).

  • Power Set (āĻļāĻ•ā§āϤāĻŋ āϏ⧇āϟ): Given a set \(S\), the power set of \(S\) is the set of all the subsets of \(S\). It is denoted by \(\mathcal{P}(S)\).

  • Example: If \(S = \{0, 1, 2\}\), then \(\mathcal{P}(S) = \{\emptyset, \{0\}, \{1\}, \{2\}, \{0, 1\}, \{0, 2\}, \{1, 2\}, \{0, 1, 2\}\}\).

  • Formula: If \(|S| = n\), then \(|\mathcal{P}(S)| = 2^n\).

9. Ordered \(n\)-tuples and Cartesian Product (āĻ•ā§āϰāĻŽāĻŋāϤ n-āĻœā§‹ā§œ āĻāĻŦāĻ‚ āĻ•āĻžāĻ°ā§āϤ⧇āϏ⧀āϝāĻŧ āϗ⧁āĻŖāϜ)

Ordered \(n\)-tuple (āĻ•ā§āϰāĻŽāĻŋāϤ n-āĻœā§‹ā§œ)

  • The ordered \(n\)-tuple \((a_1, a_2, \dots, a_n)\) is the ordered collection (āĻ•ā§āϰāĻŽ āϏāĻžāϜāĻžāύ⧋ āϏāĻ‚āĻ—ā§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…āύ⧁āϰ⧂āĻĒ āĻœā§‹ā§œāĻž) of their elements is equal.

  • We call 2-tuples couples or ordered pairs (āĻ•ā§āϰāĻŽāĻœā§‹ā§œ).

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 \(b \in B\).
\[A \times B = \{(a, b) \mid a \in A \land b \in B\}\]
  • Example: If \(A = \{1, 2\}\) and \(B = \{a, b, c\}\), then \(A \times B = \{(1, a), (1, b), (1, c), (2, a), (2, b), (2, c)\}\).

  • Crucial Note: The Cartesian products \(A \times B\) and \(B \times A\) are, in general, not equal (āϏāĻžāϧāĻžāϰāĻŖāϤ āϏāĻŽāĻžāύ āĻšā§Ÿ 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 \(i = 1, 2, \dots, n\).
\[A_1 \times A_2 \times \dots \times A_n = \{(a_1, a_2, \dots, a_n) \mid a_i \in A_i, \text{ for } i=1,2,\dots,n\}\]
  • Some authors use the notation (āĻĒā§āϰāϤ⧀āĻ•/āϚāĻŋāĻšā§āύ): \(\prod_{i=1}^{n} A_i\).

Summary

Here is your structured, comprehensive exam note for Set Operations based exactly on your slides. Uncommon or technical words are translated into Bangla (āĻŦāĻžāĻ‚āϞāĻž) right next to them to maximize your last-minute revision efficiency.


Discrete Mathematics: Lecture Notes on Set Operations

1. Fundamental Set Operations (āĻŽā§ŒāϞāĻŋāĻ• āϏ⧇āϟ āĻĒā§āϰāĻ•ā§āϰāĻŋ⧟āĻžāϏāĻŽā§‚āĻš)

A. Union of Sets (āϏ⧇āĻŸā§‡āϰ āϏāĻ‚āϝ⧋āĻ—)

  • Definition: The union of sets \(A\) and \(B\), denoted by (āϚāĻŋāĻšā§āύ āĻĻā§āĻŦāĻžāϰāĻž āĻĒā§āϰāĻ•āĻžāĻļāĻŋāϤ) \(A \cup B\), is the set that contains those elements that are either in \(A\) or in \(B\), or in both.

  • Logical Form:

\[A \cup B = \{x \mid (x \in A) \vee (x \in B)\}\]

(Note: \(\vee\) represents the logical 'OR' operator)

B. Intersection of Sets (āϏ⧇āĻŸā§‡āϰ āϛ⧇āĻĻ)

  • 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 \(B\).

  • Logical Form:

\[A \cap B = \{x \mid (x \in A) \wedge (x \in B)\}\]

(Note: \(\wedge\) represents the logical 'AND' operator)

C. Disjoint Sets (āύāĻŋāĻļā§āϛ⧇āĻĻ āϏ⧇āϟ)

  • Definition: Two sets are called disjoint if their intersection is the empty set (āĻĢāĻžāρāĻ•āĻž āϏ⧇āϟ).

  • Mathematical Condition: \(A \cap B = \emptyset\).

D. Difference of Sets (āϏ⧇āĻŸā§‡āϰ āĻ…āĻ¨ā§āϤāϰ)

  • Definition: The difference of \(A\) and \(B\), denoted by \(A - B\), is the set containing those elements that are in \(A\) but not in \(B\).

  • Alternative Name: It is also called the complement (āĻĒā§‚āϰāĻ•) of \(B\) with respect to \(A\) (A āĻāϰ āϏāĻžāĻĒ⧇āĻ•ā§āώ⧇ B āĻāϰ āĻĒā§‚āϰāĻ•).

  • Logical Form:

\[A - B = \{x \mid (x \in A) \wedge (x \notin B)\}\]

E. Symmetric Difference of Sets (āϏ⧇āĻŸā§‡āϰ āϏ⧁āώāĻŽ āĻ…āĻ¨ā§āϤāϰ)

  • 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 \(B\).

  • Logical Form:

\[A \oplus B = \{x \mid (x \in A) \oplus (x \in B)\}\]

(Note: \(\oplus\) represents the logical 'Exclusive OR / XOR' operator)

F. Complement of Sets (āϏ⧇āĻŸā§‡āϰ āĻĒāϰāĻŽ āĻĒā§‚āϰāĻ•)

  • Definition: Let \(U\) be the universal set (āϏāĻžāĻ°ā§āĻŦāĻŋāĻ• āϏ⧇āϟ). 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 \(U - A\).

  • Logical Form:

\[\overline{A} = \{x \mid x \notin A\}\]

2. Principle of Inclusion-Exclusion (āĻ…āĻ¨ā§āϤāĻ°ā§āϭ⧁āĻ•ā§āϤāĻŋ-āĻŦāĻ°ā§āϜāύ⧇āϰ āύ⧀āϤāĻŋ)

  • Core Concept: The number of elements in the union of two sets is equal to the number of elements in the first set plus (āϝ⧋āĻ—) the number of elements in the second one, minus (āĻŦāĻŋā§Ÿā§‹āĻ—) the number of elements in their intersection.

  • Reasoning: The intersection elements must be subtracted because they were counted twice (āĻĻ⧁āχāĻŦāĻžāϰ āĻ—āĻŖāύāĻž āĻ•āϰāĻž āĻšā§Ÿā§‡āĻ›āĻŋāϞ) when adding \(|A|\) and \(|B|\).

  • Theorem Formula:

\[|A \cup B| = |A| + |B| - |A \cap B|\]

3. Set Identities (āϏ⧇āĻŸā§‡āϰ āĻ…āϭ⧇āĻĻāϏāĻŽā§‚āĻš / āϏ⧂āĻ¤ā§āϰāĻžāĻŦāϞ⧀)

You must memorize these laws and names perfectly for the exam:

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4. Membership Table (āϏāĻĻāĻ¸ā§āϝāϤāĻž āϏāĻžāϰāĻŖā§€)

  • Purpose: Used to consider each combination (āϏāĻŽāĻžāĻŦ⧇āĻļ) of sets that an element can belong to and verify (āĻĒā§āϰāĻŽāĻžāĻŖ āĻ•āϰāĻž) that the set identity holds true.

  • Rules:

  • Use 1 to indicate (āύāĻŋāĻ°ā§āĻĻ⧇āĻļ āĻ•āϰāϤ⧇) that an element is in a set.

  • Use 0 to indicate that an element is not in a set.

  • 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§€āĻ•ā§ƒāϤ āĻŦāĻž āĻŦāĻšā§-āϏ⧇āϟ āĻĒā§āϰāĻ•ā§āϰāĻŋ⧟āĻžāĻ•āϰāĻŖ)

A. Generalized Union of Sets (āϏāĻžāϧāĻžāϰāĻŖā§€āĻ•ā§ƒāϤ āϏāĻ‚āϝ⧋āĻ—)

  • Definition: The union of a collection (āϏāĻ‚āĻ—ā§āϰāĻš) of sets is the set that contains those elements that are members of at least one (āĻ•āĻŽāĻĒāĻ•ā§āώ⧇ āĻāĻ•āϟāĻŋ) set in the collection.

  • Notation:

\[A_1 \cup A_2 \cup \dots \cup A_n = \bigcup_{i=1}^{n} A_i\]

B. Generalized Intersection of Sets (āϏāĻžāϧāĻžāϰāĻŖā§€āĻ•ā§ƒāϤ āϛ⧇āĻĻ)

  • Definition: The intersection of a collection of sets is the set that contains those elements that are members of all the sets (āĻĒā§āϰāĻ¤ā§āϝ⧇āĻ•āϟāĻŋ āϏ⧇āĻŸā§‡āϰ) in the collection.

  • Notation:

\[A_1 \cap A_2 \cap \dots \cap A_n = \bigcap_{i=1}^{n} A_i\]

Set Operation s2.2