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Show that \((0,1)\) and \(R\) have the same cardinality by a) showing that \(f(x)=\frac{2 x-1}{2 x(1-x)}\) is a bijection from \((0,1)\) to \(\mathbf{R} .\) b) using the Schröder-Bernstein theorem.

Short Answer

Expert verified
(0,1) and \( \mathbf{R} \) have the same cardinality because \( f(x) = \frac{2x-1}{2x(1-x)} \) is a bijection, and by the Schröder-Bernstein theorem.

Step by step solution

01

Prove Injectivity of the Function

Show that the function \( f(x) = \frac{2x - 1}{2x(1 - x)} \) is injective. To do this, assume \( f(x_1) = f(x_2) \). Then, solve \( \frac{2x_1 - 1}{2x_1(1 - x_1)} = \frac{2x_2 - 1}{2x_2(1 - x_2)} \). After cross-multiplying and simplifying, show that \( x_1 = x_2 \), proving injectivity.
02

Prove Surjectivity of the Function

To show surjectivity, for any \( y \in \mathbf{R} \), find an \( x \in (0, 1) \) such that \( f(x) = y \). Start with \( y = \frac{2x - 1}{2x(1 - x)} \) and solve for \( x \). This results in the quadratic equation \( 2xy - 2x + y = 1 \). Solve for \( x \): \( x = \frac{1}{2} \left( 1 + \frac{y}{-y-1} \right) \), ensuring \( x \in (0, 1) \). This proves that for every \( y \in \mathbf{R} \), there is a corresponding \( x \in (0,1) \).
03

Conclude Bijection

Since \( f(x) \) is both injective and surjective, it is a bijection from \((0,1)\) to \( \mathbf{R} \). Therefore, \( (0,1) \) and \( \mathbf{R} \) have the same cardinality.
04

Apply the Schröder-Bernstein Theorem

To further solidify the result using the Schröder-Bernstein theorem, note that we already have an injection from \( (0, 1) \) to \( \mathbf{R} \) given by \( f(x) = \frac{2x-1}{2x(1-x)} \). Next, consider the injection from \( \mathbf{R} \) to \( (0,1) \), for example, using the function \( g(y) = \frac{1}{2} + \frac{1}{\pi} \arctan y \). According to the Schröder-Bernstein theorem, if there exist injections in both directions, there exists a bijection between \( (0,1) \) and \( \mathbf{R} \). This confirms that \( (0, 1) \) and \( \mathbf{R} \) have the same cardinality.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Bijection
A bijection, or bijective function, is a function that is both injective (one-to-one) and surjective (onto). In other words, every element in the function's codomain is mapped by exactly one element in its domain. This means that a bijection has no repeated mappings and covers every element in the codomain.
To show that the function \( f(x) = \frac{2x - 1}{2x(1 - x)} \) is bijective, we need to demonstrate that it is both injective and surjective.
  • Injective: we assume \( f(x_1) = f(x_2) \) and show that it must follow that \( x_1 = x_2 \).
  • Surjective: we show that for every \( y \in \mathbf{R} \) (real numbers), there exists a corresponding \( x \in (0, 1) \).
Proving these properties confirms that the function is bijective, illustrating the equivalence of the sets \((0,1)\) and \( \mathbf{R} \).
Schröder-Bernstein theorem
The Schröder-Bernstein theorem is a theorem in set theory that provides a way to prove two sets have the same cardinality. The theorem states: If there exist injective functions (one-to-one) from set A to set B and from set B to set A, then there exists a bijective function between A and B, showing that A and B have the same cardinality.
To apply the Schröder-Bernstein theorem to our problem:
  • We already have the injection \( f: (0, 1) \rightarrow \mathbb{R} \) given by \( f(x) = \frac{2x - 1}{2x(1 - x)} \).
  • Consider the injection \( g: \mathbb{R} \rightarrow (0, 1) \) given by \( g(y) = \frac{1}{2} + \frac{1}{\pi} \arctan y \).
Because both injections exist, the Schröder-Bernstein theorem tells us that there is a bijection between \( (0, 1) \) and \( \mathbb{R} \), proving that these sets have the same cardinality.
Injective function
An injective function, also known as a one-to-one function, is a function where each element in the domain maps to a unique element in the codomain. No two distinct elements in the domain can map to the same element in the codomain.
To prove that \( f(x) = \frac{2x - 1}{2x(1 - x)} \) is injective, assume \( f(x_1) = f(x_2) \). After equating and simplifying, we should be able to show that \( x_1 = x_2 \). This shows that different inputs lead to different outputs, ensuring the function is one-to-one.
In our specific problem, proving the injectivity of \( f(x) \) is necessary for establishing it as part of a bijection, thereby supporting the conclusion that \( (0, 1) \) and \( \mathbf{R} \) have the same cardinality.
Surjective function
A surjective function, also known as an onto function, is one where every element in the codomain is mapped by at least one element in the domain. In other words, the function's image is its entire codomain.
To show \( f \) is surjective, we need to show that for every \( y \in \mathbb{R} \), there exists an \( x \in (0, 1) \) such that \( f(x) = y \).
Starting with the equation \( y = \frac{2x - 1}{2x(1 - x)} \), solve for \( x \). This involves manipulating the equation into a quadratic form and solving for \( x \), ensuring the solution falls within the interval \((0,1)\).
Successfully proving surjectivity means every real number is the image of some number in \((0,1)\), completing the requirements for showing our function \( f(x) \) is bijective.

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Most popular questions from this chapter

Show that if \(x\) is a real number and \(n\) is an integer, then a) \(x < n\) if and only if \(\lfloor x\rfloor < n .\) b) \(n < x\) if and only if \(n < \lceil x\rceil\)

Let \(A\) be the \(2 \times 2\) matrix $$ A=\left[\begin{array}{ll}{a} & {b} \\ {c} & {d}\end{array}\right] $$ Show that if \(a d-b c \neq 0\) , then $$ \mathbf{A}^{-1}=\left[\begin{array}{cc}{\frac{d}{a d-b c}} & {\frac{-b}{a d-b c}} \\ {\frac{-c}{a d-b c}} & {\frac{a}{a d-b c}}\end{array}\right] $$

In this exercise, we prove the Schröder-Bernstein theorem. Suppose that \(A\) and \(B\) are sets where \(|A| \leq|B|\) and \(|B| \leq|A| .\) This means that there are injections \(f : A \rightarrow B\) and \(g : B \rightarrow A\) . To prove the theorem, we must show that there is a bijection \(h : A \rightarrow B,\) implying that \(|A|=|B|\) To build \(h,\) we construct the chain of an element \(a \in A .\) This chain contains the elements \(a, f(a), g(f(a)), f(g(f(a))), g(f(g(f(a)))), \ldots\) It also may contain more elements that precede \(a,\) extending the chain backwards. So, if there is a \(b \in B\) with \(g(b)=a\) , then \(b\) will be the term of the chain just before \(a .\) Because \(g\) may not be a surjection, there may not be any such \(b,\) so that \(a\) is the first element of the chain. If such a \(b\) exists, because \(g\) is an injection, it is the unique element of \(B\) mapped by \(g\) to \(a ;\) we denote it by \(g^{-1}(a) .\) (Note that this defines \(g^{-1}\) as a partial function from \(B\) to \(A .\) . We extend the chain backwards as long as possible in the same way, adding \(f^{-1}\left(g^{-1}(a)\right), g^{-1}\left(f^{-1}\left(g^{-1}\left(g^{-1}(a)\right)\right), \ldots \text { To construct }\right.\) the proof, complete these five parts. a) Show that every element in \(A\) or in \(B\) belongs to exactly one chain. b) Show that there are four types of chains: chains thaform a loop, that is, carrying them forward from every element in the chain will eventually return to this element (type 1\()\) , chains that go backwards without stopping (type 2\()\) , chains that go backwards and end nin the set \(A\) (type \(3 ),\) and chains that go backwards and end in the set \(B\) (type 4\()\) . c) We now define a function \(h : A \rightarrow B .\) We set \(h(a)=\) \(f(a)\) when \(a\) belongs to a chain of type \(1,2,\) or \(3 .\) Show that we can define \(h(a)\) when \(a\) is in a chain of type \(4,\) by taking \(h(a)=g^{-1}(a)\) . In parts \((\mathrm{d})\) and (e), we show that this function is a bijection from \(A\) to \(B,\) proving the theorem. d) Show that \(h\) is one-to-one. (You can consider chains of types \(1,2,\) and 3 together, but chains of type 4 separately.) e) Show that \(h\) is onto. (You need to consider chains of types \(1,2,\) and 3 together, but chains of type 4 separately.)

Let \(\mathbf{A}\) be a zero-one matrix. Show that $$ \begin{array}{ll}{\text { a) } \mathbf{A} \vee \mathbf{A}=\mathbf{A}} & {\text { b) } \mathbf{A} \wedge \mathbf{A}=\mathbf{A}}\end{array} $$

Let \(f\) be a function from the set \(A\) to the set \(B .\) Let \(S\) and \(T\) be subsets of \(A .\) Show that a) \(f(S \cup T)=f(S) \cup f(T)\) b) \(f(S \cap T) \subseteq f(S) \cap f(T)\)

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