Previous Year Questions: Relation | Engineering Mathematics for Computer Science Engineering - Computer Science Engineering (CSE) PDF Download

Q1: A relation R is said to be circular if aRb and bRc together imply cRa. Which of the following options is/are correct?  (2021 SET-1)
(a) If a relation S is reflexive and symmetric, then S is an equivalence relation.
(b) If a relation S is circular and symmetric, then S is an equivalence relation.
(c) If a relation S is reflexive and circular, then S is an equivalence relation.
(d) If a relation S is transitive and circular, then S is an equivalence relation.
Ans:
(c)
Sol: Let S be an empty relation
Empty relation is all symmetric, transitive and circular (as all these three are conditional)
But it is not reflexive.
equivalence relation : reflexive, symmetric and transitive
S is both circular and symmetric but not reflexive, hence B is false
S is both transitive and circular but not reflexive, hence D is false
option A clearly does not follow the definition of equivalence relation,
so only option left is C
and C indeed is the correct answer as proved below
Let S be both reflexive and circular,
case 1: x has only diagonal elements ( aSa exists for all a)
Then S is all reflexive, symmetric, transitive and circular  (hence equivalence )
case 2:  let for some 3 different elements a, b, c  aSb  exists  but bSc does not exist
Both aSa, bSb also exist   (it is given reflexive)
(aSa and aSb) → bSa (from circular property),
so, aSb → bSa, hence it is symmetric
And transitive as well (because i assumed if aSb exists then no bSc exists for any three different elements a, b, c)
Hence this case will also be equivalence
case 3: let for some 3 different elements a,b,c both  aSb, bSc exists
aSa, bSb, cSc (exists from reflexive property)
bSb and bSc → cSb   (from circular property)
(Hence it is symmetric)aSb and bSc → cSa   (from circular property)
cSa → aSc   (from symmetric property)    (already proved symmetric 2 steps above)
so, we can conclude,
aSb and bSc → aSc   (hence it is transitive as well)
as we just proved it as both symmetric and transitive, it is definitely equivalence relation
In all three cases we proved that if S is both reflexive and circular then it an is equivalence relation.
C is correct ans.

Q2: Let R be the set of all binary relations on the set {1, 2, 3}. Suppose a relation is chosen from R at random. The probability that the chosen relation is reflexive (round off to 3 decimal places) is ______.  (2020)
(a) 0.250
(b) 0.125
(c) 0.465
(d) 0.565
Ans:
(b)
Sol: No. of relations on set A with n elements  = 2n∗n
There are n reflexive pairs, and n2−n non-reflexive pairs
For a relation which is reflexive, all reflexive pairs must present and are no-restrictions on the non-reflexive pairs.
So, there are two possibilities for non-reflexive pairs- present or absent.
∴ No. of reflexive relations Previous Year Questions: Relation | Engineering Mathematics for Computer Science Engineering - Computer Science Engineering (CSE)
Probability that a chosen relation is reflexive Previous Year Questions: Relation | Engineering Mathematics for Computer Science Engineering - Computer Science Engineering (CSE)

Q3: Let G be an arbitrary group. Consider the following relations on G:
R1: ∀a, b ∈ G, aR1b if and only if ∃g ∈ G such that a = g−1bg
R2: ∀a, b ∈ G, aR2b  if and only if a = b−1 
Which of the above is/are equivalence relation/relations?  (2019)
(a) R1 and R2
(b) R1 only
(c) R2 only
(d) Neither R1 nor R2
Ans:
(b)
Sol: R: ∀a, b ∈ G, aR1b iff ∃g ∈ G such that a = g−1bg
let g and h are inverse for each other.
Reflexive:
aR1a
a = g−1ag
ga = gg−1ag //Left multiplication by g
gag−1 = agg−1 //Right multiplication by g−1
gag−1 = a
a = gag−1
a = h−1ah  (∃h ∈ G)
we have aR1a. So the relation is reflexive.
Alternative :- in the group, there should exist identity element, So we can take it as some g.
Symmetric:
let (a, b) exist, then
a = g−1bg
gag−1 = b
h−1ah = b  (∃h ∈ G)
∴ (b, a) should be in the relation.
Hence the relation is symmetric.
Transitive:
If (a, b) and (b, c) present, then
a = x−1bx and b = y−1cy
Previous Year Questions: Relation | Engineering Mathematics for Computer Science Engineering - Computer Science Engineering (CSE)What is the inverse of x−1y−1?
x−1y−1 . _________ = Identity.
to cancel the term y−1, we must multiply with it's inverse.
to cancel the term x−1, we must multiply with it's inverse.
So, inverse of x−1y−1 is y.x
∴ a = p−1cp, where p is y.x
∴ (a, c) should be in the relation.
Hence the relation is transitive.
Ris equivalence relation.
R2: ∀a, b ∈ G, aR2b iff a = b−1
Reflexive:
for including a pair of (a, a), we need to a = a−1 .
For an arbitrary group this may not be true. So the relation is not reflexive.
R2 is not equivalence relation.
Correct Answer (B).

Q4: The time complexity of computing the transitive closure of binary relation on a set of n elements is known to be  (2018)
(a) O(n)
(b) O(n ∗ log(n))
(c) O(n3/2)
(d) O(n3)
Ans: 
(d)
Sol: The matrix of the transitive closure of a relation on a set of n elementscan be found using n2(2n−1)(n−1)+(n−1)n2 bit operations, which gives the time complexity of O(n4).
But using  Warshall's Algorithm: Transitive Closure we can do it in O(n3) bit operations.
Hence D is the correct answer.

Q5: The time complexity of computing the transitive closure of a binary relation on a set of n elements is known to be  (2017)
(a) O(n log n)
(b) O(n3/2)
(c) O(n3)O(n3)
(d) O(n)O(n)
Ans:
(c)
Sol: Previous Year Questions: Relation | Engineering Mathematics for Computer Science Engineering - Computer Science Engineering (CSE)

If above is a binary relation in it's matrix representation.
Then the following is the O(V3) Warshall's Algorithm to find the Transitive closure of the underlying graph or binary relation.
Previous Year Questions: Relation | Engineering Mathematics for Computer Science Engineering - Computer Science Engineering (CSE)
Q6: A binary relation R on Previous Year Questions: Relation | Engineering Mathematics for Computer Science Engineering - Computer Science Engineering (CSE) is defined as follows: (a, b) R(c, d) if a ≤ c or b ≤ d. Consider the following propositions:
P: R is reflexive
Q: R is transitive
Which one of the following statements is TRUE?  (2016 SET-2)
(a) Both P and Q are true
(b) P is true and Q is false.
(c) P is false and Q is true
(d) Both P and Q are false
Ans:
(b)
Sol: (B) Reflexive, but not transitive.
it is "a ≤ c OR b ≤ d",
NOT
"a ≤ c and b ≤ d",
(2, 5) R(6, 3), (6, 3) R(1, 4), but (2, 5) Previous Year Questions: Relation | Engineering Mathematics for Computer Science Engineering - Computer Science Engineering (CSE)

Q7: Let R be a relation on the set of ordered pairs of positive integers such that ((p, q), (r, s)) ∈ R if and only if p − s = q − r. Which one of the following is true about R?  (2015 SET-3)
(a) Both reflexive and symmetric
(b) Reflexive but not symmetric
(c) Not reflexive but symmetric
(d) Neither reflexive nor symmetric
Ans:
(c)
Sol: The key trick here is to realize that the relation is of the form :
{ordered pair, ordered pair} and not simply ordered pair.
Ok, so for reflexive
a,b if((a, b), (a, b)) ∈ R→ reflexive
((a, b), (a, b)) ∈ R ↔ (a − b = b − a) (not possible for any postive integers b and a)
But that is a contradiction hence it is not reflexive.
Now, for symmetric
((a, b), (c, d)) ∈ R → ((c, d), (a, b)) ∈ R
((a, b), (c, d)) ∈ R → (a−d = b−c)
((c, d), (a, b)) ∈ R
∵ (c − b = d − a) ↔ (d − a = c − b) ↔ (−(a − d) = −(b − c)) ↔ (a − d = b − c)
So, it is symmetric.
Hence, C is the correct option.

Q8: Let R be the relation on the set of positive integers such that aRb if and only if a and b are distinct and have a common divisor other than 1. Which one of the following statements about R is true?  (2015 SET-2)
(a) R is symmetric and reflexive but not transitive
(b) R is reflexive but not symmetric and not transitive
(c) R is transitive but not reflexive and not symmetric
(d) R is symmetric but not reflexive and not transitive
Ans:
(d)
Sol: Take (3, 6) and (6, 2) elements of R. For transitivity (3, 2) must be element of R, but 3 and 2 don't have a common divisor and hence not in R.
For any positive integer n, (n, n) is not element of R as only distinct m and n are allowed for (m, n) in R. So, not reflexive also.

The document Previous Year Questions: Relation | Engineering Mathematics for Computer Science Engineering - Computer Science Engineering (CSE) is a part of the Computer Science Engineering (CSE) Course Engineering Mathematics for Computer Science Engineering.
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FAQs on Previous Year Questions: Relation - Engineering Mathematics for Computer Science Engineering - Computer Science Engineering (CSE)

1. What is the importance of relations in computer science engineering?
Ans. Relations in computer science engineering are essential as they help in establishing connections between different entities or data points. This allows for the organization, manipulation, and retrieval of data in a structured manner, which is vital for various computational tasks.
2. How are relations used in database management systems?
Ans. In database management systems, relations are used to define the structure of the database tables and establish the relationships between them. This enables efficient retrieval of data through queries and ensures data integrity by enforcing constraints.
3. Can you provide an example of a real-world application where relations are utilized in computer science engineering?
Ans. One example of a real-world application where relations are used is in social networking platforms. The relationships between users, such as friendships or following relationships, are represented using relational databases to facilitate interactions and content sharing.
4. What are the different types of relations that can be defined in computer science engineering?
Ans. In computer science engineering, different types of relations can be defined, such as one-to-one, one-to-many, and many-to-many relationships. These relationships determine how data is related and interconnected within a system.
5. How do relations contribute to the efficiency and performance of algorithms in computer science engineering?
Ans. Relations play a crucial role in algorithm design by enabling the representation of data structures and dependencies. This helps in optimizing algorithm performance, reducing time complexity, and enhancing overall efficiency in computational tasks.
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