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Submitted to:- Submitted by:-
Dr. Madan Mohan Sati Garishma Bhatia
B.Tech – III sem
Seminal Presentation
Topic:- Relations
 Relations are useful when studying properties of
things.There are plenty of areas in theoretical
computer science that require the use of
relations.
 In fact, a graph can be looked as a way of
interpreting relations.This is so because the edge
set is a subset ofV×V.
 Relations are also useful in topics like game
theory and logic.
 Let A & B be sets.
 A binary relation from A to B is a
subset of A x B.
 Let R be a relation. If ( a, b )  R, we
write a R b.
 A relation on a set A is a relation fromA to A.
 Examples of relations on R:
 R1 = { (a, b) | a  b }.
 R2 = { (a, b) | b = +sqrt( a ) }.
 Are R1 & R2 functions?
A relation R onA is:
 Reflexive: a ( aRa ).
Are either R1 or R2 reflexive?
 Symmetric: a b ( aRb  bRa ).
 Let S be a set of people.
 Let R &T be relations on S,
R = { (a, b) | a is a sibling of b }.
T = { (a, b) | a is a brother of b }.
Is R symmetric?
IsT symmetric?
 Antisymmetric:
1. a b ( ( aRb  bRa )  ( a = b ) ).
2. a b ( ( a  b )  ( ( a, b )  R  ( b, a )  R ) ).
Example: L = { ( a, b ) | a  b }.
Can a relation be symmetric & antisymmetric?
 Transitive:
a b c ( ( aRb  bRc )  aRc ).
Are any of the previous examples transitive?
 It is useful studying properties of thing.
 There are plenty of areas in theoritical computer science
that require the use of relations.
 In fact, a graph can be looked as away of interpreting
relations.This is so because the edge set is a subset of
V×V.
 Relations are also useful in topics like game theory and
logic.
THANK
YOU

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Garishma maTHS

  • 1. Submitted to:- Submitted by:- Dr. Madan Mohan Sati Garishma Bhatia B.Tech – III sem Seminal Presentation Topic:- Relations
  • 2.  Relations are useful when studying properties of things.There are plenty of areas in theoretical computer science that require the use of relations.  In fact, a graph can be looked as a way of interpreting relations.This is so because the edge set is a subset ofV×V.  Relations are also useful in topics like game theory and logic.
  • 3.  Let A & B be sets.  A binary relation from A to B is a subset of A x B.  Let R be a relation. If ( a, b )  R, we write a R b.
  • 4.  A relation on a set A is a relation fromA to A.  Examples of relations on R:  R1 = { (a, b) | a  b }.  R2 = { (a, b) | b = +sqrt( a ) }.  Are R1 & R2 functions?
  • 5. A relation R onA is:  Reflexive: a ( aRa ). Are either R1 or R2 reflexive?  Symmetric: a b ( aRb  bRa ).  Let S be a set of people.  Let R &T be relations on S, R = { (a, b) | a is a sibling of b }. T = { (a, b) | a is a brother of b }. Is R symmetric? IsT symmetric?
  • 6.  Antisymmetric: 1. a b ( ( aRb  bRa )  ( a = b ) ). 2. a b ( ( a  b )  ( ( a, b )  R  ( b, a )  R ) ). Example: L = { ( a, b ) | a  b }. Can a relation be symmetric & antisymmetric?  Transitive: a b c ( ( aRb  bRc )  aRc ). Are any of the previous examples transitive?
  • 7.  It is useful studying properties of thing.  There are plenty of areas in theoritical computer science that require the use of relations.  In fact, a graph can be looked as away of interpreting relations.This is so because the edge set is a subset of V×V.  Relations are also useful in topics like game theory and logic.