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Let's start with the definition of a partition of a set. Can anyone tell me what that means?
Is it like dividing a set into smaller groups?
Exactly! A partition divides a set into non-empty subsets that do not overlap. These subsets are called pairwise disjoint. Can anyone give me an example?
Like the states in India partitioning the country?
Great example! If we think of India as set C, each state represents a distinct subset, and together they cover all of India.
So no states share counties or parts?
Correct! And all the elements of C must be included in those subsets.
What happens if a subset is empty?
An empty subset can't be part of a partition! Each subset must have at least one element. Remember, the partition must be non-empty.
To summarize, a partition of a set must contain non-empty, mutually exclusive subsets whose union is the original set.
Now, let's explore a key relationship: how does an equivalence relation relate to a partition?
Is there a way we can go from one to the other?
Yes! If I have an equivalence relation defined on a set, its equivalence classes can form a partition of that set. Each equivalence class represents a subset within the partition.
So, every element belongs to at least one equivalence class?
Correct! And that means the union of all equivalence classes will cover the entire set without any missing elements.
What if I created a partition first? Can I still create an equivalence relation?
Absolutely! You can construct an equivalence relation from a partition by defining pairs of elements that belong to the same subset.
To recap: equivalence relations and partitions are two sides of the same coin; each can be used to define the other!
Let's solidify our understanding with a practical example. If we take the set C = {1, 2, 3, 4, 5, 6} and say we partition it into subsets A1 = {1, 2}, A2 = {3, 4}, A3 = {5, 6}, can we identify the equivalence relation?
We would create pairs like (1, 2) because both these numbers belong to A1.
And then we would do the same for A2 and A3!
Exactly! So the equivalence relation R corresponding to this partition would have pairs like (1, 1), (2, 2), and also (1, 2), (2, 1).
What if we wanted to find out if R is an equivalence relation?
Good question! We can check for reflexivity, symmetry, and transitivity, and in this case, it meets all conditions.
Summarizing, by engaging with examples, we confirm that our understanding of partitions and equivalence relations is not just theoretical but practical as well.
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This section introduces the concept of partitions in set theory. It explains that a partition of a set consists of non-empty subsets that are mutually exclusive and their union reconstructs the original set. The relationship between partitions and equivalence classes is also discussed.
In this section, we define the notion of a partition of a set. A partition takes a set C (which can be finite or infinite) and divides it into subsets that are pairwise disjoint and non-empty, such that the union of these subsets equals the original set C. For instance, in the context of geographical regions, states of India can be seen as partitioning the country into distinct areas without overlaps. Moreover, the relationship between equivalence relations and partitions is established; specifically, if an equivalence relation is defined over a set, its equivalence classes will form a partition of that set. Conversely, a collection of subsets forming a partition can be used to construct an equivalence relation. By illustrating these concepts with examples and proofs, we highlight that the number of equivalence relations corresponds exactly to the number of partitions for a given 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 of breaking that set into smaller groups (subsets) such that the groups do not overlap with each other (pairwise disjoint), and together they cover the entire original set (their union equals the original set). This means that there should be no empty subsets, and no element in the original set can be left out when we combine the subsets.
Think of a partition like dividing a pizza into slices. Each slice represents a non-empty subset of the pizza (the original set). No two slices overlap (disjoint), and when you combine all the slices, you get back the whole pizza (the original set). Just like each slice has toppings, each subset in a partition can have distinct elements but together they help create the complete pizza.
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So intuitively, say for example, you have the map of India you can say that the various states of India partition the entire country India into various subsets such that there is no intersection among the states here. So, in that sense, I am just trying to find out some subsets of the set C such that there should not be any overlap among those subsets and if I take the union of all those subsets I should get back the original set C, there should not be any element of C which is missing.
The example of India's states illustrates how partitions work in a real-world context. If we consider India as the original set, then each state acts like a subset that does not overlap with other states. This means that if we combine all the states (take their union), we will still have all of India's territory without any missing parts. Hence, all elements from the original set are accounted for in these states.
Imagine a school divided into different grades. Each grade represents a non-overlapping group of students (subsets), and when you combine all the students from all grades, you have every student in the school (the original set). No student falls into two grades at the same time (pairwise disjoint).
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So, one trivial partition of the set C is the set C itself. I can imagine that C is partitioned into just one subset namely the entire set C.
A trivial partition is the simplest way to partition a set. Here, the entire set is treated as a single subset. This means that even if we don't split the set into smaller parts, we still satisfy the definition of a partition because we're still using all elements of the original set without leaving any out.
Consider a bag of mixed candies. If you don't separate the candies at all and consider the whole bag as one group, you have created a trivial partition. Just like identifying the entire bag as one type doesn't change the fact that it includes all candies inside.
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I can decide to partition C into exactly two halves or I can decide to partition C into three equal sets of equal sizes and so on. So, there might be various ways of partitioning your set is not a unique way of partitioning a set.
There are multiple ways to partition a set, not just one. This means that depending on how we choose to group the elements, we can create different partitions of the same set. For instance, a set can be divided into two parts, three parts, or more, each time forming a different partition. The flexibility in choosing subsets allows for various configurations.
Imagine organizing a classroom with 30 students. You could group them into 3 teams of 10, or 5 teams of 6, or even 2 teams of 15. Each way represents a different partition of the same group. Just like players can form teams in several configurations, sets can be partitioned in many different ways.
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Key Concepts
Partition: A way of dividing a set into disjoint subsets whose union is the original set.
Equivalence Relation: A type of relation that satisfies reflexivity, symmetry, and transitivity.
Equivalence Class: The grouping of elements that are related by an equivalence relation.
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Example of partitioning set {1, 2, 3, 4} into subsets {1, 2}, {3, 4}.
An equivalence relation might define numbers to be equivalent if they are both even or both odd.
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A partition divides without any fights, pairwise disjoint, covers all rights.
Imagine a fruit basket where each type of fruit is separated into its own bag, each bag contains at least one fruit, and when all bags are combined, they cover every fruit in the basket without leftovers!
Think 'PART' for Partition: P for Pairwise disjoint, A for All elements included, R for Really non-empty subsets, T for Total set union.
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Review the Definitions for terms.
Term: Partition
Definition:
A collection of non-empty, pairwise disjoint subsets of a set whose union equals the entire set.
Term: Equivalence Relation
Definition:
A relation that is reflexive, symmetric, and transitive; it relates elements of a set in a way that partitions the set into equivalence classes.
Term: Equivalence Class
Definition:
A subset formed by the elements that are equivalent to each other under a given equivalence relation.