Reflexive vs. Symmetric Relations - 17.2.3 | 17. Irreflexive Relation | Discrete Mathematics - Vol 1
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Irreflexive Relations

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0:00
Teacher
Teacher

Today, let's explore irreflexive relations. Can anyone tell me what irreflexive means?

Student 1
Student 1

I think it means an element is not related to itself!

Teacher
Teacher

That's correct! In other words, if we have a relation R defined on a set A, it must not include pairs like (a, a) for any a in A.

Student 2
Student 2

So, how do we show this using a matrix?

Teacher
Teacher

Great question! The matrix will have all diagonal entries as zero, indicating no self-relationships. For instance, if A = {1, 2}, its matrix would look like this: [[0, 0], [0, 0]].

Student 3
Student 3

What if A is an empty set?

Teacher
Teacher

Excellent point! In that case, the relation can be both reflexive and irreflexive simultaneously, as there are no elements to contradict the definitions.

Student 4
Student 4

Got it! So no self-loops and all diagonal zeros, right?

Teacher
Teacher

Exactly! Let's move on to symmetric relations.

Symmetric Relations

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Teacher
Teacher

Now, can anyone explain what a symmetric relation is?

Student 1
Student 1

It's where if a is related to b, then b must also be related to a?

Teacher
Teacher

Correct! That bidirectional relationship is key. If (a, b) is in R, then (b, a) must also be included.

Student 2
Student 2

How does it look in a matrix?

Teacher
Teacher

Good question! A symmetric relation results in a symmetric matrix. If you have (a, b) at row i, column j, then you will also have (b, a) at row j, column i.

Student 3
Student 3

What about if there are no pairs at all?

Teacher
Teacher

If the relation is empty, it is still symmetric since there are no contradicting pairs.

Student 4
Student 4

So symmetric doesn’t mean all elements have to relate, right?

Teacher
Teacher

Exactly! It only applies to those that are present.

Asymmetric Relations

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Teacher
Teacher

Next, let's explore asymmetric relations. Who can tell me what they think that means?

Student 2
Student 2

Isn’t it that if a is related to b, then b can't be related to a?

Teacher
Teacher

Spot on! This means that in our relation, we cannot have both (a, b) and (b, a) unless a equals b.

Student 1
Student 1

So, diagonal elements must also be zero!

Teacher
Teacher

Exactly! As in asymmetric relations, no element can relate to itself either.

Student 3
Student 3

Are there any examples?

Teacher
Teacher

Certainly! For example, if R = {(1, 2)}, it is asymmetric since there is no (2, 1).

Student 4
Student 4

And what about if the relation is empty?

Teacher
Teacher

An empty relation is also asymmetric because it satisfies the condition vacuously.

Antisymmetric Relations

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Teacher
Teacher

Finally, let's talk about antisymmetric relations. Who can define it?

Student 1
Student 1

If a is related to b and b is related to a, then a must equal b?

Teacher
Teacher

Exactly! So for any distinct elements a and b, either (a, b) or (b, a) can be in the relation but not both.

Student 2
Student 2

How does that apply to our set examples?

Teacher
Teacher

For instance, in R = {(1, 1), (2, 2)}, both pairs are antisymmetric, but they can’t relate if we have distinct pairs.

Student 3
Student 3

So, if both (1, 2) and (2, 1) were present, it wouldn't be antisymmetric?

Teacher
Teacher

Correct! That would violate the condition. Let's summarize what we've learned today.

Student 4
Student 4

We've discussed irreflexive, symmetric, asymmetric, and antisymmetric relations!

Teacher
Teacher

Well done! Remember, understanding these relations is crucial as they form the foundation in concepts of set theory and graphs.

Introduction & Overview

Read a summary of the section's main ideas. Choose from Basic, Medium, or Detailed.

Quick Overview

This section introduces various types of binary relations, including irreflexive, symmetric, asymmetric, and antisymmetric relations, highlighting their definitions and properties.

Standard

The section elaborates on different types of binary relations such as irreflexive, symmetric, asymmetric, and antisymmetric relations, outlining their definitions, properties, and examples. It also discusses the conditions under which these relations can coexist, providing a mathematical framework and visual representations.

Detailed

In this section, we explore several key types of binary relations defined on a set. An irreflexive relation is characterized by the absence of self-loops, meaning no element is related to itself; for this relation, the diagonal entries in its matrix representation are all zeros. Notably, a relation can be both reflexive and irreflexive if defined over an empty set. Moving on, a symmetric relation requires that if an element a is related to b, then b must also be related to a. Here, we see that a symmetric matrix arises from a binary relation that satisfies this condition. In contrast, an asymmetric relation demands that if a is related to b, then b should not be related to a, further preventing self-loops. Lastly, an antisymmetric relation allows for pairs of elements to be related in a way where both elements cannot be distinct unless they are equal. The discussion wraps up with the conclusion that there exists no absolute relationship among symmetric, asymmetric, and antisymmetric relations, illustrated through mathematical examples.

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Irreflexive Relations

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Now let us define another special relation defined from the set to itself which is called the irreflexive relation. And the requirement here is that you need that no element should be related to itself in the relation that means you take any element a from the set A, so this universal quantification over the domain is the set A. You take every element a from the domain or the set A, (a,a) should not be present in the relation.
Or the element should not be related to itself. So, it is easy to see that if your relation R is irreflexive, then none of the diagonal entries should be 1 in the relation. So, the matrix for your irreflexive relation will be an n x n matrix. Because the relation is defined from the set A to itself and (a , a ) is not there in the relation, that means the entry number (1, 1) in the matrix will be 0. Similarly (a , a ) is not there in your relation. That means the entry number (2, 2) in your matrix will be 0 and so on, that means the diagonal entry will be just consisting of 0’s or equivalently in terms of the graph representation no self loops will be present, because a will not have any directed edge to itself.

Detailed Explanation

An irreflexive relation is a kind of relation where no element in the set relates to itself. For instance, if we have a set A = {1, 2}, for a relation to be irreflexive, we must not have pairs like (1, 1) and (2, 2). If such pairs are absent, the relation is marked with zeros on the diagonal entries of its corresponding matrix representation. For example, the entries (1, 1) and (2, 2) in this matrix must equal 0.

Examples & Analogies

Think of this like a classroom where each student cannot be their own partner for a group project. So if we have students 1 and 2, student 1 could partner with student 2, but they cannot work in a pair with themselves. Thus, the partnerships can be illustrated as connections in a diagram showing that nobody is connected to themselves.

Simultaneous Reflexive and Irreflexive Relation

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Now it might look that any relation which is reflexive cannot be irreflexive or vice versa but or equivalently can we say that is it possible that I have a relation which is both reflexive as well as irreflexive defined over the same set A. Well the answer is yes because if you consider the set A equal to the empty set, and if you take the relation R, which is also the empty relation. That is the only relation possible over an empty set A then this relation R is both reflexive as well as irreflexive.

Detailed Explanation

A reflexive relation means that every element relates to itself, but it might seem strange to find a relation that is both reflexive and irreflexive simultaneously. However, when the set is empty, this is possible because there are no elements to negate the definitions; hence the empty relation meets the requirements for both reflexivity and irreflexivity since there are no elements to violate these conditions.

Examples & Analogies

Imagine a situation where you have an empty jar: without any objects inside, you can't say that there's anything to which the jar is 'reflexively' linked and simultaneously there are also no objects to establish that it is 'irreflexively' linked. So the empty jar serves as both reflexively and irreflexively valid at the same time.

Definition of Symmetric Relations

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Now let us define symmetric relations, so this relation can be defined from a set A to B where B is might be different from A. So, the relation is from A to B and we say it is symmetric, so as the name suggests symmetric we want here the following to hold, whenever a is related to b as per the relation R, we need that b also should be related to a and that is why the term symmetric here.

Detailed Explanation

A symmetric relation means if an element a is related to an element b, then b must also be related back to a. This symmetry must hold for all instances within the relation. For example, if we have a relationship like 'is a friend of,' once A is a friend of B, then B must be a friend of A.

Examples & Analogies

Consider friendships; if you call someone a friend, that person should reciprocate that friendship back to you. So, if you are friends with someone (A is related to B), it implies they should also consider you a friend (B is related to A) for the relationship to be symmetric.

Matrix Representation of Symmetric Relations

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So, it is easy to see that the matrix for a symmetric relation will always be a symmetric matrix, because if you have a R b, that means the i, jth entry will be 1 and since my relation is symmetric, that means I will also have (b, a) to be present. That means if I take the transpose of M, then in the jth row and ith column, the entry will be 1.

Detailed Explanation

In the matrix representation of a symmetric relation, the entries reflect this symmetry: if (a, b) is present, then (b, a) must also be present, making the matrix symmetric across its diagonal. This means that transpose (flipping the matrix) will yield the same matrix, confirming the symmetry.

Examples & Analogies

Think of this like a digital matchmaking service. If person A shows interest in person B (represented by pairing in the matrix), person B should also show interest back to A. Therefore, if there is an entry showing A interested in B, there must equally be an entry showing B interested in A, maintaining a balanced connection.

Counterexample of Reflexive Implies Symmetric

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But this is not symmetric because you have (1, 2) present in the relation, but you do not have (2, 1) present in the relation.

Detailed Explanation

Even if a relation is reflexive (having pairs like (1, 1) and (2, 2)), it does not automatically make it symmetric. For instance, if there is a pair indicating 1 relates to 2 ()1, 2) but not the reverse (2, 1), the relation is not symmetric despite being reflexive.

Examples & Analogies

Consider a situation where one person invites another to a party but does not reciprocate the invitation; the first person may have an 'invitation' to the second, yet the second does not 'invite' the first back, showcasing the absence of symmetry.

Definitions & Key Concepts

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Key Concepts

  • Irreflexive relation: No self-relations in the context of a set.

  • Symmetric relation: A bidirectional relationship where if (a, b) is present, (b, a) must also be there.

  • Asymmetric relation: A directionally exclusive pairing where (a, b) prohibits (b, a).

  • Antisymmetric relation: Only allows mutual relationships if the elements are identical.

Examples & Real-Life Applications

See how the concepts apply in real-world scenarios to understand their practical implications.

Examples

  • Example of irreflexive relation: R = {(1, 2)} for A = {1, 2}.

  • Example of symmetric relation: R = {(1, 1), (2, 2), (1, 2), (2, 1)}.

  • Example of asymmetric relation: R = {(1, 2)}.

  • Example of antisymmetric relation: R = {(1, 1), (2, 2)}.

Memory Aids

Use mnemonics, acronyms, or visual cues to help remember key information more easily.

🎵 Rhymes Time

  • For a relation that has no pair, diagonal zeros everywhere!

📖 Fascinating Stories

  • Imagine a party where no one talks to themselves—everyone must interact with others only, that’s irreflexive!

🧠 Other Memory Gems

  • Remember 'SAS' for Symmetric (if A relates to B, B must relate back) - S for Both directions, A for A relates to B, S for the reverse.

🎯 Super Acronyms

S.A.A - Symmetric, Asymmetric, Antisymmetric; think of S.A.A to remember the different types of relations.

Flash Cards

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Glossary of Terms

Review the Definitions for terms.

  • Term: Irreflexive Relation

    Definition:

    A relation where no element is related to itself; represented in matrix form by zeros on the diagonal.

  • Term: Symmetric Relation

    Definition:

    A relation where if (a, b) is present, then (b, a) must also be in the relation.

  • Term: Asymmetric Relation

    Definition:

    A relation where if (a, b) is present, then (b, a) must not be present.

  • Term: Antisymmetric Relation

    Definition:

    A relation where if both (a, b) and (b, a) are present, then a must equal b.