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Today, we will explore the concept of cardinality, particularly focusing on comparing the cardinalities of two sets. Can anyone tell me what cardinality means?
Is it about how many elements are in a set?
Exactly! Cardinality refers to the number of elements in a set. Now, let's consider the sets defined in this section. We have the set of real numbers from 0 to 1 and another from 0 to 1, inclusive of 1. Shall we dive into how we can show these two sets have the same cardinality?
How do we prove that they are the same size?
We can use the **Schroder-Bernstein theorem**. This theorem asserts that if we can find injective mappings going both ways between two sets, they must be of equal cardinality. Let’s discuss the first injective mapping.
Let's define our first injective mapping, which we'll call f. This is the identity mapping from the first set to the second. Can anyone explain why this mapping is injective?
Because if two numbers are different in the first set, their images can't be the same in the second set.
Exactly! For every different input x and y, the outputs will also be different. Now, what about the reverse mapping, g? Does someone want to describe how we establish that?
Is g defined as dividing x by 2? If x is less than 1, that keeps it in the same range?
Good point! And what happens when x equals 1?
It maps to 0.5, which is still in the valid range.
Now, let's shift our focus to the idea of infinite sets. What can we say about sets that have cardinality less than the positive integers?
I think the section mentioned that there can’t be an infinite set with a smaller cardinality than the integers.
Correct! This leads us to two claims that are crucial for our proof. Can someone summarize those claims?
One claim says that any set with cardinality less than or equal to the integers has a subset with the same cardinality, and the second claims all subsets of positive integers are either finite or countably infinite.
Exactly! Remember, we use contradiction to show that if an infinite set A has a cardinality less than a, it leads to a contradiction.
Let’s discuss subsets of infinite sets. If A is infinite, can we always find a countably infinite subset within it?
Yes, there's always at least one element you can take out, and removing elements can't make it finite.
Correct! By repeatedly removing elements and arriving at a sequence, we ensure that the resulting subset is countably infinite. Can anyone summarize how we accomplished this?
We kept removing elements from an infinite set and listed those as a subset without ever reaching a finite conclusion.
Exactly! We summarize today’s exploration as understanding how to link cardinalities and the characteristics of infinite sets.
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This section explores the relationship between cardinalities of sets, specifically proving that the set of real numbers in the interval (0,1) has the same cardinality as the set of real numbers in the interval (0,1]. It employs the Schroder-Bernstein theorem and creates injective mappings to demonstrate that both sets possess the same size. Additionally, it delves into concepts surrounding infinite sets and their cardinalities.
This section provides a thorough examination of cardinalities of two specific sets: the set of real numbers in the interval (0,1) but excluding 0 and 1, and the set of real numbers in the interval (0,1]. The goal is to demonstrate that these two sets have the same cardinality using the Schroder-Bernstein theorem, which states that if there are injective functions from one set to another and vice versa, then the two sets have the same cardinality.
The section first discusses the construction of an injective mapping, f, which is the identity mapping from the first set to the second set. It ensures that different inputs yield different outputs since both sets are defined to exclude the same elements.
Next, a second mapping, g, is defined, which maps from the second set back to the first. The discussion illustrates that both mappings adhere to the requirements of injectiveness, thus confirming the claim that the sets are of equal cardinality.
Further, the section introduces the significance of infinite sets, asserting that there is no infinite set with cardinality strictly less than the cardinality of the set of positive integers (
). The proof involves two crucial claims, leading to a contradiction that establishes that any such set must have cardinality a. The section concludes with examinations of additional properties of infinite sets and their subsets, culminating in examples that clarify the discussion.
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The first claim is that if you have any set A whose cardinality is less than equal to the cardinality of set of positive integers then you can always find a subset of the set of positive integers which has the same cardinality as your set A.
Cardinality is a concept used to denote the size of a set. Here, we are referring to set A, which is any set that has fewer elements than or the same number of elements as the set of positive integers (natural numbers). The claim states that no matter how many elements are in set A, we can find a subset B within the positive integers (like {1, 2, 3, ...}). The number of elements in B will be exactly the same as in A, effectively making them equivalent in size.
Think of a box containing various colored marbles (set A) which is smaller than a large jar containing all possible marbles (positive integers). If you can match every marble in the box to a unique marble in the jar so that no marble in the box is left unmatched, it shows that the box’s size is equivalent to a selection from the jar. Thus, there exists a relationship in terms of size.
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Pictorially what I am saying here is that you may have a set A whose cardinality is less than equal to the cardinality of this set Z+. What I am saying here is that in this claim the claim says that you can always find a subset B within the set Z+ whose size is exactly the same as the size of A.
Let's visualize the situation. The set of all positive integers (denoted Z+) is infinite, starting from 1, 2, 3 and going indefinitely. Now, if we have another set (A) that is smaller or equal to the size of Z+, we can find a subset of Z+ (let's call it B) that has the same number of elements as A. The process demonstrates the concept of injective mapping, meaning we can associate each element in set A with a unique element in subset B without any duplicates.
Imagine you have a classroom full of students (set A), and the attendance list (set Z+) contains the names of many more students than in your class. You can pick out a specific list of students (subset B) who correspond to those attending this particular class, thus matching the number of attendees exactly with the students on your list.
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Since the cardinality of A is less than equal to the cardinality of Z+, then as per the definition of cardinalities we know that there exist an injective mapping from the set A to the set of positive integers.
An injective mapping implies that each element in set A can be paired with one unique element in Z+. This means no two different elements from A will point to the same element in Z+. This is a crucial step in proving that two sets have the same cardinality because it establishes a one-to-one relationship between their elements.
Think of a situation where everyone at a party has a unique name tag (this is our injective mapping). No two people share the same name tag, ensuring that you can identify each individual distinctly. If we then say that everyone at the party corresponds one-to-one with the guests in a hall (positive integers), it reinforces that the number of guests matches the number of people with unique name tags from the sector of the party.
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What I do basically is, I just focus on the range of the function that means I pick up the set of images of this function f that means all the valid images as per this function f and since my function f is an injective mapping each element of A will have a unique image.
The goal is to show that the images, or results, of our function f—formed by this injective mapping—generate a new subset B that holds the same number of elements as A. By looking at the unique outputs for each input from A using the mapping, it becomes evident that we can create a set B that isn’t just unique but also perfectly mirrors the size of set A.
Consider a teacher (the function) who has a list of tasks (set A) to assign to students (the outputs in set B). Each task can only be assigned to one student to ensure no student is assigned multiple tasks at the same time. This proves that tasks can perfectly mirror the exact number of students available if the teacher can uniquely assign each one without overlap.
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Key Concepts
Schroder-Bernstein Theorem: A key theorem that provides a way to compare the cardinalities of sets.
Injective Mapping: A function that associates elements from one set to another without collisions, demonstrating equality in cardinality.
Countably Infinite: A category of infinite sets that can be enumerated similarly to positive integers.
See how the concepts apply in real-world scenarios to understand their practical implications.
The set of real numbers between (0, 1) versus the set of real numbers between (0, 1]. These two sets can be shown to have equal cardinality using injective mappings.
The example of subsets of positive integers illustrates that any subset can either be finite or countably infinite, reinforcing understanding of the cardinalities of infinite sets.
Use mnemonics, acronyms, or visual cues to help remember key information more easily.
Sets big or small, cardinality measures them all. Count them up and you'll see, how many fit, that's the key!
Imagine a treasure chest filled with different colored gems. Each gem represents an element. The job is to count how many gems are there, which represents understanding cardinality!
To remember Schroder-Bernstein, think 'SB', for 'Sets Balance' indicating how two sets relate in size.
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Review the Definitions for terms.
Term: Cardinality
Definition:
The measure of the 'size' of a set, or the number of elements in the set.
Term: Injective Mapping
Definition:
A function f from one set to another such that different inputs map to different outputs.
Term: SchroderBernstein Theorem
Definition:
A principle stating that if there are injective functions from set A to set B and from B to A, then the two sets have the same cardinality.
Term: Countably Infinite
Definition:
A set that can be put into a one-to-one correspondence with the set of positive integers.
Term: Subset
Definition:
A set formed from the elements of another set.