Skip to main content

Discrete Mathematics - Relations


Whenever sets are being discussed, the relationship between the elements of the sets is the next thing that comes up. Relations may exist between objects of the same set or between objects of two or more sets.

Definition and Properties

A binary relation R from set x to y (written as xRy or R(x,y)) is a subset of the Cartesian product x×y. If the ordered pair of G is reversed, the relation also changes.
Generally an n-ary relation R between sets A1,, and An is a subset of the n-ary product A1××An. The minimum cardinality of a relation R is Zero and maximum is n2 in this case.
A binary relation R on a single set A is a subset of A×A.
For two distinct sets, A and B, having cardinalities m and n respectively, the maximum cardinality of a relation R from A to B is mn.

Domain and Range

If there are two sets A and B, and relation R have order pair (x, y), then −
  • The domain of R, Dom(R), is the set {x|(x,y)RforsomeyinB}
  • The range of R, Ran(R), is the set {y|(x,y)RforsomexinA}

Examples

Let, A={1,2,9} and B={1,3,7}
  • Case 1 − If relation R is 'equal to' then R={(1,1),(3,3)}
    Dom(R) = {1,3},Ran(R)={1,3}
  • Case 2 − If relation R is 'less than' then R={(1,3),(1,7),(2,3),(2,7)}
    Dom(R) = {1,2},Ran(R)={3,7}
  • Case 3 − If relation R is 'greater than' then R={(2,1),(9,1),(9,3),(9,7)}
    Dom(R) = {2,9},Ran(R)={1,3,7}

Representation of Relations using Graph

A relation can be represented using a directed graph.
The number of vertices in the graph is equal to the number of elements in the set from which the relation has been defined. For each ordered pair (x, y) in the relation R, there will be a directed edge from the vertex ‘x’ to vertex ‘y’. If there is an ordered pair (x, x), there will be self- loop on vertex ‘x’.
Suppose, there is a relation R={(1,1),(1,2),(3,2)} on set S={1,2,3}, it can be represented by the following graph −
Relation

Types of Relations

  • The Empty Relation between sets X and Y, or on E, is the empty set 
  • The Full Relation between sets X and Y is the set X×Y
  • The Identity Relation on set X is the set {(x,x)|xX}
  • The Inverse Relation R' of a relation R is defined as − R={(b,a)|(a,b)R}
    Example − If R={(1,2),(2,3)} then R will be {(2,1),(3,2)}
  • A relation R on set A is called Reflexive if aA is related to a (aRa holds)
    Example − The relation R={(a,a),(b,b)} on set X={a,b} is reflexive.
  • A relation R on set A is called Irreflexive if no aA is related to a (aRa does not hold).
    Example − The relation R={(a,b),(b,a)} on set X={a,b} is irreflexive.
  • A relation R on set A is called Symmetric if xRy implies yRxxAand yA.
    Example − The relation R={(1,2),(2,1),(3,2),(2,3)} on set A={1,2,3} is symmetric.
  • A relation R on set A is called Anti-Symmetric if xRy and yRx impliesx=yxA and yA.
    Example − The relation R={(x,y)N|xy} is anti-symmetric since xy and yx implies x=y.
  • A relation R on set A is called Transitive if xRy and yRz implies xRz,x,y,zA.
    Example − The relation R={(1,2),(2,3),(1,3)} on set A={1,2,3}is transitive.
  • A relation is an Equivalence Relation if it is reflexive, symmetric, and transitive.
    Example − The relation R={(1,1),(2,2),(3,3),(1,2),(2,1),(2,3),(3,2),(1,3),(3,1)} on set A={1,2,3} is an equivalence relation since it is reflexive, symmetric, and transitive.

Comments

Popular posts from this blog

Discrete Mathematics - Rules of Inference

To deduce new statements from the statements whose truth that we already know,  Rules of Inference  are used. What are Rules of Inference for? Mathematical logic is often used for logical proofs. Proofs are valid arguments that determine the truth values of mathematical statements. An argument is a sequence of statements. The last statement is the conclusion and all its preceding statements are called premises (or hypothesis). The symbol “ ∴ ∴ ”, (read therefore) is placed before the conclusion. A valid argument is one where the conclusion follows from the truth values of the premises. Rules of Inference provide the templates or guidelines for constructing valid arguments from the statements that we already have. Table of Rules of Inference Rule of Inference Name Rule of Inference Name P ∴ P ∨ Q P ∴ P ∨ Q Addition P ∨ Q ¬ P ∴ Q P ∨ Q ¬ P ∴ Q Disjunctive Syllogism P Q ∴ P ∧ Q P Q ∴ P ∧ Q Conjunction P → Q Q → R ∴ P → R P → Q Q → R ∴ P → R ...

5 best private search engines and why you need to use them.

5 best private search engines and why you need to use them  By:  Boniyeamin laju   ▪   May 31, 2019   ▪ 3 minute read 5 best private search engines and why you need to use  Normal browsers like Google and Bing are designed to track users’ activities and profile their online behavior. The primary reason for this is to create advertisements that will be attractive to the user. However, there-there is always the concern of  personal information being compromised  due to security breaches, state surveillance, and unauthorized data sharing. Fortunately,  private search engines  can help keep your private information safe. Simply put, Private Search Engines, also known as PSE, uses proxy and encrypted search request to  hide your personal information  from anyone looking to misuse your information. Below you will find more information about what a PSE is, how it works, and wh...

Discrete Mathematics - Propositional Logic

The rules of mathematical logic specify methods of reasoning mathematical statements. Greek philosopher, Aristotle, was the pioneer of logical reasoning. Logical reasoning provides the theoretical base for many areas of mathematics and consequently computer science. It has many practical applications in computer science like design of computing machines, artificial intelligence, definition of data structures for programming languages etc. Propositional Logic  is concerned with statements to which the truth values, “true” and “false”, can be assigned. The purpose is to analyze these statements either individually or in a composite manner. Prepositional Logic – Definition A proposition is a collection of declarative statements that has either a truth value "true” or a truth value "false". A propositional consists of propositional variables and connectives. We denote the propositional variables by capital letters (A, B, etc). The connectives connect the propositi...