Relation

Binary Relation

Let P and Q be two non- empty sets. A binary relation R is defined to be a subset of P x Q from a set P to Q. If (a, b) ∈ R and R ⊆ P x Q then a is related to b by R i.e., aRb. If sets P and Q are equal, then we say R ⊆ P x P is a relation on P e.g.
  1. (i) Let A = {a, b, c}  
  2.       B = {r, s, t}  
  3. Then R = {(a, r), (b, r), (b, t), (c, s)}  
  4. is a relation from A to B.  
  5.   
  6. (ii) Let A = {123} and B = A  
  7.          R = {(11), (22), (33)}  
  8. is a relation (equal) on A.  
Example1: If a set has n elements, how many relations are there from A to A.
Solution: If a set A has n elements, A x A has n2 elements. So, there are 2n2 relations from A to A.
Example2: If A has m elements and B has n elements. How many relations are there from A to B and vice versa?
Solution: There are m x n elements; hence there are 2m x n relations from A to A.
Example3: If a set A = {1, 2}. Determine all relations from A to A.
Solution: There are 22= 4 elements i.e., {(1, 2), (2, 1), (1, 1), (2, 2)} in A x A. So, there are 24= 16 relations from A to A. i.e.
  1.      {(12), (21), (11), (22)}, {(12), (21)}, {(12), (11)}, {(12), (22)},  
  2. {(21), (11)},{(2,1), (22)}, {(11),(22)},{(12), (21), (11)}, {(12), (11),  
  3. (22)}, {(2,1), (11), (22)}, {(12), (21), (22)}, {(12), (21), (11), (22)} and ∅.  

Domain and Range of Relation

Domain of Relation: The Domain of relation R is the set of elements in P which are related to some elements in Q, or it is the set of all first entries of the ordered pairs in R. It is denoted by DOM (R).
Range of Relation: The range of relation R is the set of elements in Q which are related to some element in P, or it is the set of all second entries of the ordered pairs in R. It is denoted by RAN (R).
Example:
  1. Let A = {1234}  
  2.     B = {a, b, c, d}  
  3.     R = {(1, a), (1, b), (1, c), (2, b), (2, c), (2, d)}.  
Solution:
DOM (R) = {1, 2}
RAN (R) = {a, b, c, d}

Complement of a Relation

Consider a relation R from a set A to set B. The complement of relation R denoted by R is a relation from A to B such that
  R = {(a, b): {a, b) ∉ R}.
Example:
  1. Consider the relation R from X to Y  
  2.         X = {123}  
  3.         Y = {89}  
  4.         R = {(18) (28) (19) (39)}  
  5. Find the complement relation of R.  
Solution:
X x Y = {(1, 8), (2, 8), (3, 8), (1, 9), (2, 9), (3, 9)}
 Now we find the complement relation  R from X x Y
   R = {(3, 8), (2, 9)}

Representation of Relations

Relations can be represented in many ways. Some of which are as follows:
1. Relation as a Matrix: Let P = [a1,a2,a3,.......am] and Q = [b1,b2,b3......bn] are finite sets, containing m and n number of elements respectively. R is a relation from P to Q. The relation R can be represented by m x n matrix M = [Mij], defined as
Mij = 0      if  (ai,bj) ∉ R
       1     if   (ai,bj )∈ R
Example
  1. Let     P = {1234}, Q = {a, b, c, d}  
  2. and     R = {(1, a), (1, b), (1, c), (2, b), (2, c), (2, d)}.  
The matrix of relation R is shown as fig:
Representation of Relations
2. Relation as a Directed Graph: There is another way of picturing a relation R when R is a relation from a finite set to itself.
Example
  1. A = {1234}  
  2. R = {(12) (22) (24) (32) (34) (41) (43)}  
Representation of Relations
3. Relation as an Arrow Diagram: If P and Q are finite sets and R is a relation from P to Q. Relation R can be represented as an arrow diagram as follows.
Draw two ellipses for the sets P and Q. Write down the elements of P and elements of Q column-wise in three ellipses. Then draw an arrow from the first ellipse to the second ellipse if a is related to b and a ∈ P and b ∈ Q.
Example
  1. Let P = {1234}  
  2.     Q = {a, b, c, d}  
  3.     R = {(1, a), (2, a), (3, a), (1, b), (4, b), (4, c), (4, d)  
The arrow diagram of relation R is shown in fig:
Representation of Relations
4. Relation as a Table: If P and Q are finite sets and R is a relation from P to Q. Relation R can be represented in tabular form.
Make the table which contains rows equivalent to an element of P and columns equivalent to the element of Q. Then place a cross (X) in the boxes which represent relations of elements on set P to set Q.
Example
  1. Let P = {1234}   
  2.     Q = {x, y, z, k}  
  3.     R = {(1, x), (1, y), (2, z), (3, z), (4, k)}.  
The tabular form of relation as shown in fig:
Representation of Relations

Composition of Relations

Let A, B, and C be sets, and let R be a relation from A to B and let S be a relation from B to C. That is, R is a subset of A × B and S is a subset of B × C. Then R and S give rise to a relation from A to C indicated by R◦S and defined by:
  1. a (R◦S)c if for some b ∈ B we have aRb and bSc.   
  2. is,   
  3. R ◦ S = {(a, c)| there exists b ∈ B for which (a, b) ∈ R and (b, c) ∈ S}   
The relation R◦S is known the composition of R and S; it is sometimes denoted simply by RS.
Let R is a relation on a set A, that is, R is a relation from a set A to itself. Then R◦R, the composition of R with itself, is always represented. Also, R◦R is sometimes denoted by R2. Similarly, R3 = R2◦R = R◦R◦R, and so on. Thus Rn is defined for all positive n.
Example1: Let X = {4, 5, 6}, Y = {a, b, c} and Z = {l, m, n}. Consider the relation R1 from X to Y and R2 from Y to Z.
 R1 = {(4, a), (4, b), (5, c), (6, a), (6, c)}
 R2 = {(a, l), (a, n), (b, l), (b, m), (c, l), (c, m), (c, n)}
Composition of Relations
Find the composition of relation (i) R1 o R2 (ii) R1o R1-1
Solution:
(i) The composition relation R1 o R2 as shown in fig:
Composition of Relations
R1 o R2 = {(4, l), (4, n), (4, m), (5, l), (5, m), (5, n), (6, l), (6, m), (6, n)}
(ii) The composition relation R1o R1-1 as shown in fig:
Composition of Relations
R1o R1-1 = {(4, 4), (5, 5), (5, 6), (6, 4), (6, 5), (4, 6), (6, 6)}

Composition of Relations and Matrices

There is another way of finding R◦S. Let MR and MS denote respectively the matrix representations of the relations R and S. Then
Example
  1. Let P = {2345}. Consider the relation R and S on P defined by  
  2.     R = {(22), (23), (24), (25), (34), (35), (45), (53)}  
  3.     S = {(23), (25), (34), (35), (42), (43), (45), (52), (55)}.  
  4.   
  5.         Find the matrices of the above relations.  
  6. Use matrices to find the following composition of the relation R and S.  
  7.   (i)RoS       (ii)RoR       (iii)SoR  
Solution: The matrices of the relation R and S are a shown in fig:
Composition of Relations
(i) To obtain the composition of relation R and S. First multiply MR with MS to obtain the matrix MR x MS as shown in fig:
The non zero entries in the matrix MR x MS tells the elements related in RoS. So,
Composition of Relations
Hence the composition R o S of the relation R and S is
  1. R o S = {(22), (23), (24), (32), (33), (42), (45), (52), (53), (54), (55)}.  
(ii) First, multiply the matrix MR by itself, as shown in fig
Composition of Relations
Hence the composition R o R of the relation R and S is
  1. R o R = {(22), (32), (33), (34), (42), (45), (52), (53), (55)}  
(iii) Multiply the matrix MS with MR to obtain the matrix MS x MR as shown in fig:
Composition of Relations
The non-zero entries in matrix MS x MR tells the elements related in S o R.
Hence the composition S o R of the relation S and R is
  1. S o R = {(24) , (25), (33), (34), (35), (42), (44), (45), (52), (53), (54), (55)}.  

    Types of Relations

    1. Reflexive Relation: A relation R on set A is said to be a reflexive if (a, a) ∈ R for every a ∈ A.
    Example: If A = {1, 2, 3, 4} then R = {(1, 1) (2, 2), (1, 3), (2, 4), (3, 3), (3, 4), (4, 4)}. Is a relation reflexive?
    Solution: The relation is reflexive as for every a ∈ A. (a, a) ∈ R, i.e. (1, 1), (2, 2), (3, 3), (4, 4) ∈ R.
    2. Irreflexive Relation: A relation R on set A is said to be irreflexive if (a, a) ∉ R for every a ∈ A.
    Example: Let A = {1, 2, 3} and R = {(1, 2), (2, 2), (3, 1), (1, 3)}. Is the relation R reflexive or irreflexive?
    Solution: The relation R is not reflexive as for every a ∈ A, (a, a) ∉ R, i.e., (1, 1) and (3, 3) ∉ R. The relation R is not irreflexive as (a, a) ∉ R, for some a ∈ A, i.e., (2, 2) ∈ R.
    3. Symmetric Relation: A relation R on set A is said to be symmetric iff (a, b) ∈ R ⟺ (b, a) ∈ R.
    Example: Let A = {1, 2, 3} and R = {(1, 1), (2, 2), (1, 2), (2, 1), (2, 3), (3, 2)}. Is a relation R symmetric or not?
    Solution: The relation is symmetric as for every (a, b) ∈ R, we have (b, a) ∈ R, i.e., (1, 2), (2, 1), (2, 3), (3, 2) ∈ R but not reflexive because (3, 3) ∉ R.
    Example of Symmetric Relation:
    1. Relation ⊥r is symmetric since a line a is ⊥r to b, then b is ⊥r to a.
    2. Also, Parallel is symmetric, since if a line a is ∥ to b then b is also ∥ to a.
    Antisymmetric Relation: A relation R on a set A is antisymmetric iff (a, b) ∈ R and (b, a) ∈ R then a = b.
    Example1: Let A = {1, 2, 3} and R = {(1, 1), (2, 2)}. Is the relation R antisymmetric?
    Solution: The relation R is antisymmetric as a = b when (a, b) and (b, a) both belong to R.
    Example2: Let A = {4, 5, 6} and R = {(4, 4), (4, 5), (5, 4), (5, 6), (4, 6)}. Is the relation R antisymmetric?
    Solution: The relation R is not antisymmetric as 4 ≠ 5 but (4, 5) and (5, 4) both belong to R.
    5. Asymmetric Relation: A relation R on a set A is called an Asymmetric Relation if for every (a, b) ∈ R implies that (b, a) does not belong to R.
    6. Transitive Relations: A Relation R on set A is said to be transitive iff (a, b) ∈ R and (b, c) ∈ R ⟺ (a, c) ∈ R.
    Example1: Let A = {1, 2, 3} and R = {(1, 2), (2, 1), (1, 1), (2, 2)}. Is the relation transitive?
    Solution: The relation R is transitive as for every (a, b) (b, c) belong to R, we have (a, c) ∈ R i.e, (1, 2) (2, 1) ∈ R ⇒ (1, 1) ∈ R.

    Note1: The Relation ≤, ⊆ and / are transitive, i.e., a ≤ b, b ≤ c then a ≤ c (ii) Let a ⊆ b, b ⊆ c then a ⊆ c (iii) Let a/b, b/c then a/c.

    Note2: ⊥r is not transitive since a ⊥r b, b ⊥r c then it is not true that a ⊥r c. Since no line is ∥ to itself, we can have a ∥ b, b ∥ a but a ∦ a. Thus ∥ is not transitive, but it will be transitive in the plane.

    7. Identity Relation: Identity relation I on set A is reflexive, transitive and symmetric. So identity relation I is an Equivalence Relation.
    Example: A= {1, 2, 3} = {(1, 1), (2, 2), (3, 3)}
    8. Void Relation: It is given by R: A →B such that R = ∅ (⊆ A x B) is a null relation. Void Relation R = ∅ is symmetric and transitive but not reflexive.
    9. Universal Relation: A relation R: A →B such that R = A x B (⊆ A x B) is a universal relation. Universal Relation from A →B is reflexive, symmetric and transitive. So this is an equivalence relation.

    Closure Properties of Relations

    Consider a given set A, and the collection of all relations on A. Let P be a property of such relations, such as being symmetric or being transitive. A relation with property P will be called a P-relation. The P-closure of an arbitrary relation R on A, indicated P (R), is a P-relation such that
    1. R ⊆ P (R) ⊆ S  
    (1) Reflexive and Symmetric Closures: The next theorem tells us how to obtain the reflexive and symmetric closures of a relation easily.
    Theorem: Let R be a relation on a set A. Then:
    • R ∪ ∆A is the reflexive closure of R
    • R ∪ R-1 is the symmetric closure of R.
    Example1:
    1. Let A = {k, l, m}. Let R is a relation on A defined by  
    2.     R = {(k, k), (k, l), (l, m), (m, k)}.   
    Find the reflexive closure of R.
    Solution: R ∪ ∆ is the smallest relation having reflexive property, Hence,
    RF = R ∪ ∆ = {(k, k), (k, l), (l, l), (l, m), (m, m), (m, k)}.
    
    Example2: Consider the relation R on A = {4, 5, 6, 7} defined by
    1. R = {(45), (55), (56), (67), (74), (77)}  
    Find the symmetric closure of R.
    Solution: The smallest relation containing R having the symmetric property is R ∪ R-1,i.e.
    RS = R ∪ R-1 = {(4, 5), (5, 4), (5, 5), (5, 6), (6, 5), (6, 7), (7, 6), (7, 4), (4, 7), (7, 7)}.
    
    (2)Transitive Closures: Consider a relation R on a set A. The transitive closure R of a relation R of a relation R is the smallest transitive relation containing R.
    Recall that R2 = R◦ R and Rn = Rn-1 ◦ R. We define
    Closure Properties of Relations
    The following Theorem applies:
    Theorem1: R* is the transitive closure of R
    Suppose A is a finite set with n elements.
    R* = R ∪R2  ∪.....∪ Rn
    
    Theorem 2: Let R be a relation on a set A with n elements. Then
    Transitive (R) = R ∪ R2∪.....∪ Rn
    
    Example1: Consider the relation R = {(1, 2), (2, 3), (3, 3)} on A = {1, 2, 3}. Then R2 = R◦ R = {(1, 3), (2, 3), (3, 3)} and R3 = R2 ◦ R = {(1, 3), (2, 3), (3, 3)} Accordingly, Transitive (R) = {(1, 2), (2, 3), (3, 3), (1, 3)}
    Example2: Let A = {4, 6, 8, 10} and R = {(4, 4), (4, 10), (6, 6), (6, 8), (8, 10)} is a relation on set A. Determine transitive closure of R.
    Solution: The matrix of relation R is shown in fig:
    Closure Properties of Relations
    Now, find the powers of MR as in fig:
    Closure Properties of Relations
    Hence, the transitive closure of MR is MR* as shown in Fig (where MR* is the ORing of a power of MR).
    Closure Properties of Relations
    Thus, R* = {(4, 4), (4, 10), (6, 8), (6, 6), (6, 10), (8, 10)}.

    Note: While ORing the power of the matrix R, we can eliminate MRn because it is equal to MR* if n is even and is equal to MR3 if n is odd.