SlideShare a Scribd company logo
SETS
Submitted to
Md. Auhidur Rahman
Lecturer
Institute of Information & Technology
Presented by
Nadim Bhuiyan(ASH1825034M)
Saifur Rahman(ASH1825031M)
Fazle Rabbi(ASH1825004M)
Mahabub (ASH1825003M)
Contents
 Definition of Sets
 Kinds of sets
 Venn Diagrams
 Operation on sets
 Laws of sets
Definition of sets:
 A set is a simply well defined list or collection distinct objects.The objects in a set is called
element or member of the set.
 A set is an abstract data type that can store certain values,without any particular order,
and no repeated values,
 A set is a group or collection of objects or number considered as an entity unto itself.
 For Example:
• a set of chairs,
• the set of nobel laureates in the worlds,
• the set of integers,
• the set of natural numbers less than 10,
• the set of books in the table.
Kinds of sets
Empty Set
Finite Set
Infinite Set
Sub Set
Disjoint Set
Equality Set
Union Set
Intersection Set
 Disjoint Set: Two set are called disjoint if their intersection is the empty set.
let A and B be the set,then the disjoint set is A ∩ B= { }
 Equal set: Two set A and B are said to be equal or A=B if and only if A ⊆ B.
and B ⊆ A .
let A and B the set ,then the equal set is ,A={1,2,3,4,5} B={1,2,3,4,5}
 Union Set: The union of two sets A and B is the set of all elements belonging
to A or B or both.
let A and B the set ,then the union set is A U B.
 Empty set: Any set that has no element in it is called an empty
set or null set.
let, A is a set then we denote it empty set A= Ø or { }
 Finite set: A set is called finite if it’s elements are equal in
number to some specifiable nonnegative integers.
let,A is a set ,then finite set A={2,3,4,5,6}
 Infinite set: A set is called infinite if the number of it’s elements
is greater than any positive integer.
let,A is a set ,then finite set A={2,3,4,5,6…….}
 Sub set: If every element of the set A is also an element of the
B. Then A is said to be a sub set of B.
let A and B the set , A is a subset of B, denoted by A ⊆ B.
•
Venn Diagrams
A helpful scheme to illustrate the relationship between sets and set operation
is the Venn Diagram.
Operation on Sets
Union,U.
 AUB is the set of all elements that are in A OR B.
Intersection ∩ .
 A ∩ B is the set of all elements that are in A AND B.
Operation of sets
Complement
 A is the set ,we denoted it A’ or A∁ .
Laws of sets
1. Commutative Laws:
• For any two finite sets A and B;
(i) A U B = B U A
(ii) A ∩ B = B ∩ A
2. Associative Laws:
• For any three finite sets A, B and C;
(i) (A U B) U C = A U (B U C)
(ii) (A ∩ B) ∩ C = A ∩ (B ∩ C)
Laws of sets
3. Idempotent Laws:
• For any finite set A;
(i) A U A = A
(ii) A ∩ A = A
4. Distributive Laws:
• For any three finite sets A, B and C;
(i) A U (B ∩ C) = (A U B) ∩ (A U C)
(ii) A ∩ (B U C) = (A ∩ B) U (A ∩ C)
5.De Morgan’s Laws :
For any three finite sets A, B ;
(i) (A U B)’ = A' ∩ B'
(ii) (A ∩ B)’ = A' U B'
Discrete math (sets)

More Related Content

What's hot

Maths Project on sets
Maths Project on setsMaths Project on sets
Maths Project on setsatifansari17
 
Ppt sets and set operations
Ppt sets and set operationsPpt sets and set operations
Ppt sets and set operations
geckbanaag
 
MIT Math Syllabus 10-3 Lesson 1: Sets and the real number system
MIT Math Syllabus 10-3 Lesson 1: Sets and the real number systemMIT Math Syllabus 10-3 Lesson 1: Sets and the real number system
MIT Math Syllabus 10-3 Lesson 1: Sets and the real number system
Lawrence De Vera
 
Set copy
Set   copySet   copy
Set copy
clairedeleon2
 
Set Theory
Set TheorySet Theory
Applications of set theory
Applications of  set theoryApplications of  set theory
Applications of set theory
Tarun Gehlot
 
Set Theory
Set TheorySet Theory
Set Theoryitutor
 
Maths Project 11 class(SETS)
Maths Project 11 class(SETS)Maths Project 11 class(SETS)
Maths Project 11 class(SETS)
Sahil Mehra
 
Set theory
Set theorySet theory
Set theory
AN_Rajin
 
Set Theory Bascis
Set Theory BascisSet Theory Bascis
Set Theory Bascis
DEEPENDRA SINGH
 
SETS AND TYPES OF SET
SETS AND TYPES OF SETSETS AND TYPES OF SET
SETS AND TYPES OF SET
myla gambalan
 
Operations on Sets
Operations on SetsOperations on Sets
Operations on Sets
Free Math Powerpoints
 
Set theory
Set theorySet theory
Set theory
Prerak Trivedi
 
Gr. 7 math lm (q1 to 4)
Gr. 7 math lm (q1 to 4)Gr. 7 math lm (q1 to 4)
Gr. 7 math lm (q1 to 4)rodsanton
 
Set Language And Notation
Set Language And NotationSet Language And Notation
Set Language And Notationmissing island
 
Sets and its types-
 Sets and its types- Sets and its types-
Sets and its types-
AbhayDhupar
 

What's hot (20)

Maths Project on sets
Maths Project on setsMaths Project on sets
Maths Project on sets
 
Ppt sets and set operations
Ppt sets and set operationsPpt sets and set operations
Ppt sets and set operations
 
Sets and Subsets
Sets and SubsetsSets and Subsets
Sets and Subsets
 
MIT Math Syllabus 10-3 Lesson 1: Sets and the real number system
MIT Math Syllabus 10-3 Lesson 1: Sets and the real number systemMIT Math Syllabus 10-3 Lesson 1: Sets and the real number system
MIT Math Syllabus 10-3 Lesson 1: Sets and the real number system
 
Set copy
Set   copySet   copy
Set copy
 
Set Theory
Set TheorySet Theory
Set Theory
 
Dxc
DxcDxc
Dxc
 
Applications of set theory
Applications of  set theoryApplications of  set theory
Applications of set theory
 
Set Theory
Set TheorySet Theory
Set Theory
 
2.1 Sets
2.1 Sets2.1 Sets
2.1 Sets
 
Maths Project 11 class(SETS)
Maths Project 11 class(SETS)Maths Project 11 class(SETS)
Maths Project 11 class(SETS)
 
Set theory
Set theorySet theory
Set theory
 
Set Theory Bascis
Set Theory BascisSet Theory Bascis
Set Theory Bascis
 
SETS AND TYPES OF SET
SETS AND TYPES OF SETSETS AND TYPES OF SET
SETS AND TYPES OF SET
 
Operations on Sets
Operations on SetsOperations on Sets
Operations on Sets
 
Set theory
Set theorySet theory
Set theory
 
Gr. 7 math lm (q1 to 4)
Gr. 7 math lm (q1 to 4)Gr. 7 math lm (q1 to 4)
Gr. 7 math lm (q1 to 4)
 
Set Language And Notation
Set Language And NotationSet Language And Notation
Set Language And Notation
 
Sets and its types-
 Sets and its types- Sets and its types-
Sets and its types-
 
Section3 1
Section3 1Section3 1
Section3 1
 

Similar to Discrete math (sets)

Types of sets
Types of setsTypes of sets
Types of sets
Mahitha Davala
 
SETS PPT-XI.pptx
SETS PPT-XI.pptxSETS PPT-XI.pptx
SETS PPT-XI.pptx
TamannaNayak5
 
Module week 1 Q1
Module week 1 Q1Module week 1 Q1
Module week 1 Q1
Rommel Limbauan
 
Brief Concept on Set Theory
Brief Concept on Set TheoryBrief Concept on Set Theory
Brief Concept on Set Theory
Taiseer Ahmed
 
Introduction to Set Theory
Introduction to Set TheoryIntroduction to Set Theory
Introduction to Set Theory
Usama ahmad
 
sets class 11.pptx
sets class 11.pptxsets class 11.pptx
sets class 11.pptx
SaritaKadianAntil
 
8 points you must to know about set theory
8 points you must to know about set theory8 points you must to know about set theory
8 points you must to know about set theoryTransweb Global Inc
 
Digital text book sets
Digital text book   setsDigital text book   sets
Digital text book sets
libinkalappila
 
Set Theory
Set Theory Set Theory
Set Theory
NISHITAKALYANI
 
Class XI CH 1 (sets)
Class XI CH 1 (sets)Class XI CH 1 (sets)
Class XI CH 1 (sets)
Pradeep Sharma
 
Sets
SetsSets
Maths presentation of Agrima.pptx
Maths presentation of Agrima.pptxMaths presentation of Agrima.pptx
Maths presentation of Agrima.pptx
Kunal219998
 
Crisp sets
Crisp setsCrisp sets
Crisp sets
DEEPIKA T
 
Sets and there different types.
Sets and there different types.Sets and there different types.
Sets and there different types.
Ashufb2323
 
Sets.pptx
Sets.pptxSets.pptx
Sets.pptx
EllenGrace9
 
pdf_20221016_194015_0000.pdf
pdf_20221016_194015_0000.pdfpdf_20221016_194015_0000.pdf
pdf_20221016_194015_0000.pdf
SenaJover
 
Discrete mathematics OR Structure
Discrete mathematics OR Structure Discrete mathematics OR Structure
Discrete mathematics OR Structure
Abdullah Jan
 
INTRODUCTION TO SETS.pptx
INTRODUCTION TO SETS.pptxINTRODUCTION TO SETS.pptx
INTRODUCTION TO SETS.pptx
Sumit366794
 
Crisp set
Crisp setCrisp set
Crisp set
DeepikaT13
 
Sets (1)
Sets (1)Sets (1)
Sets (1)
MeghanaGhodake1
 

Similar to Discrete math (sets) (20)

Types of sets
Types of setsTypes of sets
Types of sets
 
SETS PPT-XI.pptx
SETS PPT-XI.pptxSETS PPT-XI.pptx
SETS PPT-XI.pptx
 
Module week 1 Q1
Module week 1 Q1Module week 1 Q1
Module week 1 Q1
 
Brief Concept on Set Theory
Brief Concept on Set TheoryBrief Concept on Set Theory
Brief Concept on Set Theory
 
Introduction to Set Theory
Introduction to Set TheoryIntroduction to Set Theory
Introduction to Set Theory
 
sets class 11.pptx
sets class 11.pptxsets class 11.pptx
sets class 11.pptx
 
8 points you must to know about set theory
8 points you must to know about set theory8 points you must to know about set theory
8 points you must to know about set theory
 
Digital text book sets
Digital text book   setsDigital text book   sets
Digital text book sets
 
Set Theory
Set Theory Set Theory
Set Theory
 
Class XI CH 1 (sets)
Class XI CH 1 (sets)Class XI CH 1 (sets)
Class XI CH 1 (sets)
 
Sets
SetsSets
Sets
 
Maths presentation of Agrima.pptx
Maths presentation of Agrima.pptxMaths presentation of Agrima.pptx
Maths presentation of Agrima.pptx
 
Crisp sets
Crisp setsCrisp sets
Crisp sets
 
Sets and there different types.
Sets and there different types.Sets and there different types.
Sets and there different types.
 
Sets.pptx
Sets.pptxSets.pptx
Sets.pptx
 
pdf_20221016_194015_0000.pdf
pdf_20221016_194015_0000.pdfpdf_20221016_194015_0000.pdf
pdf_20221016_194015_0000.pdf
 
Discrete mathematics OR Structure
Discrete mathematics OR Structure Discrete mathematics OR Structure
Discrete mathematics OR Structure
 
INTRODUCTION TO SETS.pptx
INTRODUCTION TO SETS.pptxINTRODUCTION TO SETS.pptx
INTRODUCTION TO SETS.pptx
 
Crisp set
Crisp setCrisp set
Crisp set
 
Sets (1)
Sets (1)Sets (1)
Sets (1)
 

More from SAIFUR RAHMAN

Hash Function(Grostl) and Contex Hull Research paper
Hash Function(Grostl) and Contex Hull Research paperHash Function(Grostl) and Contex Hull Research paper
Hash Function(Grostl) and Contex Hull Research paper
SAIFUR RAHMAN
 
DepenDNS Analysis
DepenDNS AnalysisDepenDNS Analysis
DepenDNS Analysis
SAIFUR RAHMAN
 
Student Management System
Student Management SystemStudent Management System
Student Management System
SAIFUR RAHMAN
 
Input & output
Input & outputInput & output
Input & output
SAIFUR RAHMAN
 
Exception handling
Exception handlingException handling
Exception handling
SAIFUR RAHMAN
 
Recommendation system
Recommendation systemRecommendation system
Recommendation system
SAIFUR RAHMAN
 
Function
FunctionFunction
Function
SAIFUR RAHMAN
 

More from SAIFUR RAHMAN (7)

Hash Function(Grostl) and Contex Hull Research paper
Hash Function(Grostl) and Contex Hull Research paperHash Function(Grostl) and Contex Hull Research paper
Hash Function(Grostl) and Contex Hull Research paper
 
DepenDNS Analysis
DepenDNS AnalysisDepenDNS Analysis
DepenDNS Analysis
 
Student Management System
Student Management SystemStudent Management System
Student Management System
 
Input & output
Input & outputInput & output
Input & output
 
Exception handling
Exception handlingException handling
Exception handling
 
Recommendation system
Recommendation systemRecommendation system
Recommendation system
 
Function
FunctionFunction
Function
 

Recently uploaded

How Recreation Management Software Can Streamline Your Operations.pptx
How Recreation Management Software Can Streamline Your Operations.pptxHow Recreation Management Software Can Streamline Your Operations.pptx
How Recreation Management Software Can Streamline Your Operations.pptx
wottaspaceseo
 
Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...
Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...
Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...
informapgpstrackings
 
Corporate Management | Session 3 of 3 | Tendenci AMS
Corporate Management | Session 3 of 3 | Tendenci AMSCorporate Management | Session 3 of 3 | Tendenci AMS
Corporate Management | Session 3 of 3 | Tendenci AMS
Tendenci - The Open Source AMS (Association Management Software)
 
GlobusWorld 2024 Opening Keynote session
GlobusWorld 2024 Opening Keynote sessionGlobusWorld 2024 Opening Keynote session
GlobusWorld 2024 Opening Keynote session
Globus
 
A Sighting of filterA in Typelevel Rite of Passage
A Sighting of filterA in Typelevel Rite of PassageA Sighting of filterA in Typelevel Rite of Passage
A Sighting of filterA in Typelevel Rite of Passage
Philip Schwarz
 
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoam
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoamOpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoam
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoam
takuyayamamoto1800
 
Beyond Event Sourcing - Embracing CRUD for Wix Platform - Java.IL
Beyond Event Sourcing - Embracing CRUD for Wix Platform - Java.ILBeyond Event Sourcing - Embracing CRUD for Wix Platform - Java.IL
Beyond Event Sourcing - Embracing CRUD for Wix Platform - Java.IL
Natan Silnitsky
 
Navigating the Metaverse: A Journey into Virtual Evolution"
Navigating the Metaverse: A Journey into Virtual Evolution"Navigating the Metaverse: A Journey into Virtual Evolution"
Navigating the Metaverse: A Journey into Virtual Evolution"
Donna Lenk
 
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...
Globus
 
TROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERROR
TROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERRORTROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERROR
TROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERROR
Tier1 app
 
Graphic Design Crash Course for beginners
Graphic Design Crash Course for beginnersGraphic Design Crash Course for beginners
Graphic Design Crash Course for beginners
e20449
 
Using IESVE for Room Loads Analysis - Australia & New Zealand
Using IESVE for Room Loads Analysis - Australia & New ZealandUsing IESVE for Room Loads Analysis - Australia & New Zealand
Using IESVE for Room Loads Analysis - Australia & New Zealand
IES VE
 
Dominate Social Media with TubeTrivia AI’s Addictive Quiz Videos.pdf
Dominate Social Media with TubeTrivia AI’s Addictive Quiz Videos.pdfDominate Social Media with TubeTrivia AI’s Addictive Quiz Videos.pdf
Dominate Social Media with TubeTrivia AI’s Addictive Quiz Videos.pdf
AMB-Review
 
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...
Juraj Vysvader
 
Globus Compute wth IRI Workflows - GlobusWorld 2024
Globus Compute wth IRI Workflows - GlobusWorld 2024Globus Compute wth IRI Workflows - GlobusWorld 2024
Globus Compute wth IRI Workflows - GlobusWorld 2024
Globus
 
Paketo Buildpacks : la meilleure façon de construire des images OCI? DevopsDa...
Paketo Buildpacks : la meilleure façon de construire des images OCI? DevopsDa...Paketo Buildpacks : la meilleure façon de construire des images OCI? DevopsDa...
Paketo Buildpacks : la meilleure façon de construire des images OCI? DevopsDa...
Anthony Dahanne
 
Enhancing Project Management Efficiency_ Leveraging AI Tools like ChatGPT.pdf
Enhancing Project Management Efficiency_ Leveraging AI Tools like ChatGPT.pdfEnhancing Project Management Efficiency_ Leveraging AI Tools like ChatGPT.pdf
Enhancing Project Management Efficiency_ Leveraging AI Tools like ChatGPT.pdf
Jay Das
 
Vitthal Shirke Microservices Resume Montevideo
Vitthal Shirke Microservices Resume MontevideoVitthal Shirke Microservices Resume Montevideo
Vitthal Shirke Microservices Resume Montevideo
Vitthal Shirke
 
SOCRadar Research Team: Latest Activities of IntelBroker
SOCRadar Research Team: Latest Activities of IntelBrokerSOCRadar Research Team: Latest Activities of IntelBroker
SOCRadar Research Team: Latest Activities of IntelBroker
SOCRadar
 
May Marketo Masterclass, London MUG May 22 2024.pdf
May Marketo Masterclass, London MUG May 22 2024.pdfMay Marketo Masterclass, London MUG May 22 2024.pdf
May Marketo Masterclass, London MUG May 22 2024.pdf
Adele Miller
 

Recently uploaded (20)

How Recreation Management Software Can Streamline Your Operations.pptx
How Recreation Management Software Can Streamline Your Operations.pptxHow Recreation Management Software Can Streamline Your Operations.pptx
How Recreation Management Software Can Streamline Your Operations.pptx
 
Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...
Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...
Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...
 
Corporate Management | Session 3 of 3 | Tendenci AMS
Corporate Management | Session 3 of 3 | Tendenci AMSCorporate Management | Session 3 of 3 | Tendenci AMS
Corporate Management | Session 3 of 3 | Tendenci AMS
 
GlobusWorld 2024 Opening Keynote session
GlobusWorld 2024 Opening Keynote sessionGlobusWorld 2024 Opening Keynote session
GlobusWorld 2024 Opening Keynote session
 
A Sighting of filterA in Typelevel Rite of Passage
A Sighting of filterA in Typelevel Rite of PassageA Sighting of filterA in Typelevel Rite of Passage
A Sighting of filterA in Typelevel Rite of Passage
 
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoam
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoamOpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoam
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoam
 
Beyond Event Sourcing - Embracing CRUD for Wix Platform - Java.IL
Beyond Event Sourcing - Embracing CRUD for Wix Platform - Java.ILBeyond Event Sourcing - Embracing CRUD for Wix Platform - Java.IL
Beyond Event Sourcing - Embracing CRUD for Wix Platform - Java.IL
 
Navigating the Metaverse: A Journey into Virtual Evolution"
Navigating the Metaverse: A Journey into Virtual Evolution"Navigating the Metaverse: A Journey into Virtual Evolution"
Navigating the Metaverse: A Journey into Virtual Evolution"
 
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...
 
TROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERROR
TROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERRORTROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERROR
TROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERROR
 
Graphic Design Crash Course for beginners
Graphic Design Crash Course for beginnersGraphic Design Crash Course for beginners
Graphic Design Crash Course for beginners
 
Using IESVE for Room Loads Analysis - Australia & New Zealand
Using IESVE for Room Loads Analysis - Australia & New ZealandUsing IESVE for Room Loads Analysis - Australia & New Zealand
Using IESVE for Room Loads Analysis - Australia & New Zealand
 
Dominate Social Media with TubeTrivia AI’s Addictive Quiz Videos.pdf
Dominate Social Media with TubeTrivia AI’s Addictive Quiz Videos.pdfDominate Social Media with TubeTrivia AI’s Addictive Quiz Videos.pdf
Dominate Social Media with TubeTrivia AI’s Addictive Quiz Videos.pdf
 
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...
 
Globus Compute wth IRI Workflows - GlobusWorld 2024
Globus Compute wth IRI Workflows - GlobusWorld 2024Globus Compute wth IRI Workflows - GlobusWorld 2024
Globus Compute wth IRI Workflows - GlobusWorld 2024
 
Paketo Buildpacks : la meilleure façon de construire des images OCI? DevopsDa...
Paketo Buildpacks : la meilleure façon de construire des images OCI? DevopsDa...Paketo Buildpacks : la meilleure façon de construire des images OCI? DevopsDa...
Paketo Buildpacks : la meilleure façon de construire des images OCI? DevopsDa...
 
Enhancing Project Management Efficiency_ Leveraging AI Tools like ChatGPT.pdf
Enhancing Project Management Efficiency_ Leveraging AI Tools like ChatGPT.pdfEnhancing Project Management Efficiency_ Leveraging AI Tools like ChatGPT.pdf
Enhancing Project Management Efficiency_ Leveraging AI Tools like ChatGPT.pdf
 
Vitthal Shirke Microservices Resume Montevideo
Vitthal Shirke Microservices Resume MontevideoVitthal Shirke Microservices Resume Montevideo
Vitthal Shirke Microservices Resume Montevideo
 
SOCRadar Research Team: Latest Activities of IntelBroker
SOCRadar Research Team: Latest Activities of IntelBrokerSOCRadar Research Team: Latest Activities of IntelBroker
SOCRadar Research Team: Latest Activities of IntelBroker
 
May Marketo Masterclass, London MUG May 22 2024.pdf
May Marketo Masterclass, London MUG May 22 2024.pdfMay Marketo Masterclass, London MUG May 22 2024.pdf
May Marketo Masterclass, London MUG May 22 2024.pdf
 

Discrete math (sets)

  • 1. SETS Submitted to Md. Auhidur Rahman Lecturer Institute of Information & Technology Presented by Nadim Bhuiyan(ASH1825034M) Saifur Rahman(ASH1825031M) Fazle Rabbi(ASH1825004M) Mahabub (ASH1825003M)
  • 2. Contents  Definition of Sets  Kinds of sets  Venn Diagrams  Operation on sets  Laws of sets
  • 3. Definition of sets:  A set is a simply well defined list or collection distinct objects.The objects in a set is called element or member of the set.  A set is an abstract data type that can store certain values,without any particular order, and no repeated values,  A set is a group or collection of objects or number considered as an entity unto itself.  For Example: • a set of chairs, • the set of nobel laureates in the worlds, • the set of integers, • the set of natural numbers less than 10, • the set of books in the table.
  • 4. Kinds of sets Empty Set Finite Set Infinite Set Sub Set Disjoint Set Equality Set Union Set Intersection Set
  • 5.  Disjoint Set: Two set are called disjoint if their intersection is the empty set. let A and B be the set,then the disjoint set is A ∩ B= { }  Equal set: Two set A and B are said to be equal or A=B if and only if A ⊆ B. and B ⊆ A . let A and B the set ,then the equal set is ,A={1,2,3,4,5} B={1,2,3,4,5}  Union Set: The union of two sets A and B is the set of all elements belonging to A or B or both. let A and B the set ,then the union set is A U B.
  • 6.  Empty set: Any set that has no element in it is called an empty set or null set. let, A is a set then we denote it empty set A= Ø or { }  Finite set: A set is called finite if it’s elements are equal in number to some specifiable nonnegative integers. let,A is a set ,then finite set A={2,3,4,5,6}  Infinite set: A set is called infinite if the number of it’s elements is greater than any positive integer. let,A is a set ,then finite set A={2,3,4,5,6…….}  Sub set: If every element of the set A is also an element of the B. Then A is said to be a sub set of B. let A and B the set , A is a subset of B, denoted by A ⊆ B. •
  • 7. Venn Diagrams A helpful scheme to illustrate the relationship between sets and set operation is the Venn Diagram.
  • 8. Operation on Sets Union,U.  AUB is the set of all elements that are in A OR B. Intersection ∩ .  A ∩ B is the set of all elements that are in A AND B.
  • 9. Operation of sets Complement  A is the set ,we denoted it A’ or A∁ .
  • 10. Laws of sets 1. Commutative Laws: • For any two finite sets A and B; (i) A U B = B U A (ii) A ∩ B = B ∩ A 2. Associative Laws: • For any three finite sets A, B and C; (i) (A U B) U C = A U (B U C) (ii) (A ∩ B) ∩ C = A ∩ (B ∩ C)
  • 11. Laws of sets 3. Idempotent Laws: • For any finite set A; (i) A U A = A (ii) A ∩ A = A 4. Distributive Laws: • For any three finite sets A, B and C; (i) A U (B ∩ C) = (A U B) ∩ (A U C) (ii) A ∩ (B U C) = (A ∩ B) U (A ∩ C) 5.De Morgan’s Laws : For any three finite sets A, B ; (i) (A U B)’ = A' ∩ B' (ii) (A ∩ B)’ = A' U B'