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Welcome everyone! Today, we will explore whether the union of two equivalence relations results in another equivalence relation. Can anyone tell me what properties define an equivalence relation?
I think they are reflexivity, symmetry, and transitivity.
Exactly! Now, we can confirm that the union of two equivalence relations is always reflexive and symmetric. But what about transitivity? Let's consider our example with the sets.
That's interesting! But could you clarify why it might not be transitive?
Sure! If we have two relations, say R1 and R2, and we find that (a, b) is in their union and (b, c) is present, for the union to be transitive, (a, c) must also be there. However, there are cases where it isn't.
So we need to find a counterexample to display that?
Exactly! Remember our sets X = {a, b, c} and the relations R1 and R2? Let’s summarize that diffraction in properties of the union!
Now that we've discussed the union, let’s move on to the intersection of two equivalence relations. Who can tell me if the intersection also forms an equivalence relation?
I think it would! Each relation is reflexive, right?
Correct! We can prove that the intersection indeed remains reflexive, symmetric, and transitive. Let's break it down together. First, because both relations are reflexive, (a, a) will be present in the intersection.
What about symmetry?
Good question! Since (a, b) is in the intersection, symmetry applies due to how both initial relations were defined. Lastly, can anyone summarize how transitivity holds?
If (a, b) and (b, c) are in both relations, then (a, c) must also exist?
Exactly! Now you clearly see how intersections maintain the equivalence relation properties!
Let’s discuss when the union of two equivalence relations equals their composition. This is crucial for understanding their behavior together.
Is that an if and only if statement?
Correct! We need to establish both directions of implication. How do we start proving the first part?
We assume the composition equals the union, right?
Exactly! Show that the transitive property holds under these premises. What about the reverse implication?
That must mean if the union is an equivalence relation, then their composition must equal the union!
Correct! Keep practicing this concept until it becomes second nature.
To finish, let's look at the function P(n). This function counts the number of equivalence relations over a set of n elements. Anyone have an idea how to relate it with partitions?
I think P(n) represents the same number of partitions, right?
Exactly! Each equivalence relation corresponds to a unique partition. How can we express P(n) in terms of previous values?
Maybe using a recurrence relation with combinatorial coefficients?
Spot on! By examining j elements that can pair with the first element, we express the recurrence relation involving C(n-1, j). Great job today everyone. Let’s summarize our learning!
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The section delves into the properties of equivalence relations, focusing on how the union and intersection of two equivalence relations may or may not maintain these properties. It presents definitions, proofs, and counterexamples to clarify when these operations result in equivalence relations, emphasizing the importance of reflexivity, symmetry, and transitivity in determining the nature of the relations.
In this section of the chapter, we investigate the interplay between two significant equivalence relations over a non-empty set. We begin by addressing whether the union of two equivalence relations maintains the property of being an equivalence relation. Through a counterexample involving specific sets, we demonstrate that while the union is always reflexive and symmetric, it does not necessarily maintain the transitive property.
In contrast, we prove that the intersection of two equivalence relations is always an equivalence relation, affirming the preservation of reflexivity, symmetry, and transitivity. Furthermore, we explore a condition under which the union of two equivalence relations can be equivalent if and only if their composition equals their union, providing proofs for both implications.
We conclude by defining the function P(n) that denotes the number of equivalence relations over a set of n elements, and exploring its recurrence relations through combinatorial arguments, further solidifying the connection between equivalence relations and partitions.
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Now in question number 2 again, you are given two equivalence relations over a non-empty set and we want to prove that \( R_1 \cap R_2 \) will be an equivalence relation if and only if the composition \( R_1 \circ R_2 \) is equal to the \( R_1 \cup R_2 \).
In this part, we are tasked with understanding under what conditions the intersection of two equivalence relations (denoted as \( R_1 \cap R_2 \)) will still be an equivalence relation. An equivalence relation is defined by three properties: it must be reflexive, symmetric, and transitive. We need to prove that these properties hold for the intersection if the condition concerning the composition (denoted as \( R_1 \circ R_2 \)) being equal to the union (denoted as \( R_1 \cup R_2 \)) is satisfied. Specifically, we'll look at properties individually, showing that both relations maintain the required properties under these conditions.
Imagine two groups of friends at a party. If your two best friends each have their own friend groups (their equivalence relations), the intersection of those groups (friends they share) reflects mutual relationships. If every shared relationship can connect (like through common interests), it makes finding new connections easier. Thus, the way we can relate to their friends showcases the maintenance of the same properties, resulting in a more integrated social experience.
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If I take \( R_1 \) and \( R_2 \) to be equivalence relations over the set \( X \), then since \( R_1 \) and \( R_2 \) are individually reflexive relations... which shows that the intersection will be a symmetric relation.
This chunk discusses how to prove that the intersection of two equivalence relations retains the properties of reflexivity and symmetry. Reflexivity means that every element in set \( X \) relates to itself. Since both equivalence relations possess this property, their intersection will also include these self-related pairs. For symmetry, if an element \( (a, b) \) is in the intersection, it implies that both \( R_1 \) and \( R_2 \) have this pair which also implies the reverse pair, thus proving symmetry. This establishes that both reflexivity and symmetry hold true.
Consider two classes of students. If each class has several students, the intersection of students who belong to both classes will still contain students who relate to themselves. If you represent every student as a node, then connecting these nodes indicates mutual understanding and respect. Therefore, the intersection maintains the same qualities of reflexivity and symmetry.
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Now consider the transitivity property for which I consider arbitrary ordered pairs \( (a, b) \) and \( (b, c) \) to be present in \( R_1 \cap R_2 \). ... this shows that the ordered pair \( (a, c) \) will be present in the intersection as well.
This chunk explains the transitive property in the context of intersections. For a relation to be transitive, if two pairs \( (a, b) \) and \( (b, c) \) are related, then the pair \( (a, c) \) must also be present. Since both \( R_1 \) and \( R_2 \) are equivalence relations, if \( (a, b) \) and \( (b, c) \) are in the intersection of these two relations, then we can conclude that \( (a, c) \) must also be in the intersection. This is important because it solidifies the condition under which the intersection remains an equivalence relation.
Think of a friendship chain. If Alice is friends with Bob, and Bob is friends with Charlie, then Alice will naturally have a connection to Charlie as well. This chain of relationships exemplifies transitivity. Hence, in social structures, this property is essential for establishing solid networks of friendships.
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So, now you can see that the argument that we have given here for \( R_1 \cap R_2 \) to be a transitive relation need not hold... this is precisely the reason due to which the union of two equivalence relations need not be a transitive relation.
The conclusion emphasizes that while the intersection of two equivalence relations will always be an equivalence relation (retaining reflexivity, symmetry, and transitivity), the union does not guarantee transitivity. This means that although both conditions can link together through shared elements in the intersection, combining all elements from both relations into a union may break the transitivity property, highlighting an essential distinction between the two types of operations on relations.
Imagine adding two different groups of friends together for a party. While individual friends may have connections (those in the intersection), creating a massive group may lead to unfamiliarity among some members, breaking the cohesion needed for everyone to feel included or connected (breaking transitivity). Therefore, while intersections help maintain relationships, unions may complicate them.
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Key Concepts
Equivalence Relation: Defined by reflexivity, symmetry, and transitivity.
Union: The combination of two sets, including all their elements.
Intersection: The common elements of two sets.
Composition: A method of combining relations where transitivity must hold.
Function P(n): Counts the number of equivalence relations over a set of n elements.
See how the concepts apply in real-world scenarios to understand their practical implications.
Consider the set X = {a, b, c} with equivalence relations R1 = {(a,a), (b,b), (c,c), (a,b), (b,a)} and R2 = {(a,a), (b,b), (c,c), (b,c), (c,b)}. The union R1 U R2 is reflexive and symmetric but not transitive.
The intersection R1 ∩ R2 retains reflexivity since it includes (a,a), (b,b), (c,c), and maintains symmetry and transitivity.
Use mnemonics, acronyms, or visual cues to help remember key information more easily.
Reflex, Symm, Transitive too, Equivalence relations are true blue!
Imagine a club where each member knows themselves (reflexive), knows each other (symmetric), and if member A knows B, and B knows C, then A surely knows C (transitive).
Remember 'RST' for Reflexive, Symmetric, Transitive when you think of equivalence relations.
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Review the Definitions for terms.
Term: Equivalence Relation
Definition:
A relation that is reflexive, symmetric, and transitive.
Term: Reflexivity
Definition:
An element is related to itself.
Term: Symmetry
Definition:
If one element is related to another, then the second is related to the first.
Term: Transitivity
Definition:
If one element is related to a second, and that second is related to a third, the first is related to the third.
Term: Intersection
Definition:
The set of elements common to two sets.
Term: Union
Definition:
The set that contains all elements from both sets.
Term: Composition
Definition:
Combining two relations such that if one element is related to another, and that second element is related to a third, the first element relates to the third.
Term: Function P(n)
Definition:
Denotes the number of equivalence relations over a set of n elements.