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Today, we're discussing partitions of sets. Can anyone tell me what a partition means?
Isn’t it about dividing a set into parts?
Exactly! A partition divides a set into non-empty, disjoint subsets that collectively equal the original set. Think of how the states of India partition the country without overlapping.
So, the subsets can't share elements, right?
Correct! This leads us to remember: P for Partition, D for Disjoint.
What if I just had one subset? Is that valid for a partition?
Yes, having the set itself counts as a trivial partition.
Now, summarizing: a partition is a collection of 'D' is for disjoint subsets that 'P' partition the original set.
Now, let’s shift to equivalence relations. Who can define what an equivalence relation is?
Isn't it a relation that groups elements based on specific criteria?
Yes! It must be reflexive, symmetric, and transitive. Let's remember these properties as RST.
Could you give an example of how equivalence relations work?
Consider grouping numbers by their remainders when divided by 3: they create equivalence classes like {0 mod 3}, {1 mod 3}, and {2 mod 3}.
To summarize: an equivalence relation defines groups with R for reflexive, S for symmetric, and T for transitive, forming classes.
We’ve defined both equivalence relations and partitions. How do they connect?
Are equivalence classes a type of partition?
Exactly! Each equivalence class from an equivalence relation forms a partition. They’re two sides of the same coin.
And can I create an equivalence relation from any partition?
Yes! You can construct an equivalence relation from a partition by relating all elements within the same subset.
So remember: equivalence relations lead to partitions and vice versa. Easy to remember: E for Equivalence class, P for Partition.
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In this section, we delve into the concept of equivalence relations and partitions in discrete mathematics. We define partitions as collections of disjoint subsets that combine to form the original set and illustrate how equivalence classes derived from equivalence relations lead to these partitions, establishing a clear relationship between them.
In this lecture on Discrete Mathematics, we explore two fundamental concepts: equivalence relations and partitions. An equivalence relation is defined on a set which allows us to group elements that are equivalent. An equivalence class formed by this relation consists of elements that share a common relationship, meaning they are related under this equivalence relation.
We then introduce the notion of a partition of a set. A partition is a collection of non-empty, pairwise disjoint subsets whose union equals the original set. For example, think of a country's states; collectively they partition the country without overlap.
A significant relationship is established between equivalence relations and partitions: the equivalence classes of a relation form a partition of the set. Conversely, from a partition, we can construct an equivalence relation whose classes match the provided subsets. Thus, we find that the count of equivalence relations over a set is identical to the number of partitions of that set.
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So, let us start with the definition of a partition of a set. So, imagine you are given a set C which may be finite or it may be infinite. Now, what is the partition of this set C? The partition here is basically a collection of pairwise disjoint, non-empty subsets say m subsets of C which should be pairwise disjoint such that if you take their union, you should get back the original set C.
A partition of a set is a way to divide a set into smaller subsets. These subsets must not overlap (called pairwise disjoint), and they must cover the entire original set without leaving any elements out. This means that when you combine (or take the union of) all these smaller subsets, you return to your original set C.
Think of a partition like dividing a pizza into slices. Each slice represents a non-overlapping portion of the entire pizza (the original set). If you put all the slices back together, you recreate the whole pizza without losing any cheese or toppings.
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So, more formally the requirements here are the following. Each subset ≠ ∅ that means each subset should have at least one element. They should be pairwise disjoint. That means if I take any C_i, C_j then C_i ∩ C_j = ∅ and C_i ∪…∪C_m = C. So, one trivial partition of the set C is the set C itself.
For a collection of subsets to be a partition, they must satisfy a few specific rules: each subset must contain at least one element (no empty subsets), they cannot overlap at all (the intersection of any two subsets is empty), and if you combine all the subsets together, you must get back the original set. An example of the simplest partition is just considering the original set as a single subset without breaking it down at all.
Imagine sorting different colored marbles into jars. Each jar holds marbles of only one color, and at least one marble is in each jar. If one jar had no marbles, it would violate the rules. The union of all jars must result in all the marbles you had originally.
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What we now want to establish here is a very interesting relationship between the equivalence from an equivalence relation to the partition of a set. So, we want to establish a relationship between equivalence relation and partition of a set...
An equivalence relation is a way of grouping elements based on a certain property that relates them. When you have an equivalence relation defined on a set, you can form equivalence classes, which are like partitions where every class is a subset containing elements related to each other. The relationship we are discussing is that every equivalence relation can create a partition of the set, and conversely, every partition can lead to an equivalence relation.
Think of a classroom where students are grouped based on their favorite subject. If math is one group, science another, and art another, each student's favorite subject relates them to their group, just like an equivalence relation. All students associated with math together form a partition, splitting the entire class based on their preferences.
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Now, I can prove the property in the reverse direction as well. What do I mean by that? I claim here that you give me any partition of a set C, say you give me a collection of m subsets which constitute a partition of the set C. Then I can give you an equivalence relation R whose equivalence classes will be the subsets which you have given me in the partition.
If you start with a partition of a set, you can construct an equivalence relation by saying two elements belong to the same relation if they are in the same subset of the partition. This means every subset from the partition defines its corresponding equivalence class, thus forming an equivalence relation.
Consider a library where books are divided into sections based on genres: fiction, non-fiction, and mystery. Each section is a partition; if two books are in the fiction section, they are related, as they belong to the same genre group, forming an equivalence relation based on genre.
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So, let us formally prove this. Now, going to prove that a relation R that I am saying here to construct indeed will be reflexive, symmetric and transitive...
To show that the constructed relation R is indeed an equivalence relation, we must prove three properties: reflexivity (every element is related to itself), symmetry (if one element is related to another, then the second is also related to the first), and transitivity (if one element is related to a second, and that second is related to a third, then the first is related to the third). These properties help validate that our construction behaves as expected.
Imagine a relationship of 'friendship' among students. Every student is friends with themselves (reflexivity), if student A is friends with student B, then B is also friends with A (symmetry), and if A is friends with B and B is friends with C, then A is also friends with C (transitivity). This friendship relation mirrors the properties of an equivalence relation.
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So, in other words what we can show here is that the number of equivalence relations what we have established here actually is that the number of equivalence relations over C is exactly the same as number of partitions of set C.
In conclusion, we’ve established a fundamental connection between equivalence relations and partitions. For every possible equivalence relation on a set, there exists a corresponding partition, and vice versa. This means that understanding and counting one gives insight into the other, highlighting the integral relationship between these concepts.
It's like analyzing a network of friendships. Any way of grouping friends based on who is friends with whom can lead to different groups (partitions), and each unique group dynamic can be viewed as a different 'friendship rule' or equivalence relation. Thus, the methods of counting these friendships (relations) and groups (partitions) will yield the same results.
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Key Concepts
Equivalence Relation: A relation satisfying reflexivity, symmetry, and transitivity.
Equivalence Class: A subset of a set where all elements are related under a specific equivalence relation.
Partition: A division of a set into disjoint, non-empty subsets that collectively represent the entire set.
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Example of an equivalence relation: 'Is equal to' forms equivalence classes like '1 is equal to 1' and '2 is equal to 2'.
Example of a partition: Dividing a set of integers into even and odd numbers creates two disjoint subsets.
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Parts that never meet, yet make a whole, that’s a partition, the goal they stole.
Imagine a school with different clubs where no one can belong to two clubs at once, each student joins a group distinctly, creating a partition.
To remember properties: RST - Reflexive, Symmetric, Transitive.
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Review the Definitions for terms.
Term: Equivalence Relation
Definition:
A relation that is reflexive, symmetric, and transitive.
Term: Equivalence Class
Definition:
A subset formed by all elements equivalent to each other under a specific equivalence relation.
Term: Partition
Definition:
A collection of pairwise disjoint, non-empty subsets whose union equals the original set.
Term: Reflexive
Definition:
A property of a relation where every element is related to itself.
Term: Symmetric
Definition:
A property of a relation where if one element is related to another, the second is related to the first.
Term: Transitive
Definition:
A property of a relation where if one element is related to a second, and the second is related to a third, then the first is related to the third.