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Prove the following relations. $$ E F \subset E \subset E \cup F $$

Short Answer

Expert verified
In conclusion, we have proven the desired relations by showing that every element in the intersection of sets E and F is also an element of set E (\(E \cap F \subseteq E\)), and that every element in set E is also an element of the union of sets E and F (\(E \subseteq E \cup F\)). Therefore, \[E \cap F \subseteq E \subseteq E \cup F\].

Step by step solution

01

Define the set intersection, subset, and set union

Before we prove the desired relations, let's first define the set intersection, subset, and set union. - The intersection of two sets E and F, denoted as \(E \cap F\), is the set of all elements that are present in both sets E and F. - A set A is considered a subset of another set B, denoted as \(A \subseteq B\), if every element of set A is also an element of set B. - The union of two sets E and F, denoted as \(E \cup F\), is the set of all elements that are present in either set E or set F, or both. Now that we've defined these fundamental set operations, we can proceed to prove the relations.
02

Prove that \(E \cap F \subseteq E\)

Let's first prove that the intersection of sets E and F is a subset of E. That is, \(E \cap F \subseteq E\). By definition, an element x is in the intersection of E and F if and only if x is in both sets E and F (\(x \in E \cap F \Leftrightarrow x \in E \,\, \& \,\, x \in F\)). Thus, if an element x is in \(E \cap F\), it must be in set E. This implies that every element in the intersection of E and F is also an element of E, so \(E \cap F \subseteq E\).
03

Prove that \(E \subseteq E \cup F\)

Now, we need to prove that set E is a subset of the union of sets E and F. That is, \(E \subseteq E \cup F\). By the definition of set union, an element x is in the union of E and F if and only if x is in set E, or x is in set F, or both (\(x \in E \cup F \Leftrightarrow x \in E \,\, \text{or} \,\, x \in F \,\, \text{or} \,\, x \in E \cap F\)). Thus, if an element x is in set E, it must also be a member of the union of sets E and F. This implies that every element in set E is also an element of the union of sets E and F, so \(E \subseteq E \cup F\). In conclusion, we have proven the desired relations: \[E \cap F \subseteq E \subseteq E \cup F\]

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Key Concepts

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

Set Intersection
In set theory, the concept of "set intersection" is quite important. It involves identifying elements common to both sets being considered.
When we say "intersection," we are essentially looking for shared components.
Mathematically, if we have two sets, say \( E \) and \( F \), their intersection is denoted as \( E \cap F \). This means any element, let's call it \( x \), that belongs to both \( E \) and \( F \) will also belong to the intersection.
  • For example, if \( E = \{1, 2, 3\} \) and \( F = \{2, 3, 4\} \), then \( E \cap F = \{2, 3\} \).
  • It's symbolically expressed as \( \{ x \mid x \in E \text{ and } x \in F \} \).

The intersection operation is very useful when we want to determine what two groups have in common. It’s a fundamental operation in mathematics that helps in solving various problems concerning collections of objects.
Set Union
The "set union" is another crucial operation in set theory. It involves combining elements from multiple sets to form a new set.
In simple terms, the union of sets \( E \) and \( F \), denoted as \( E \cup F \), contains all elements that are in \( E \), in \( F \), or in both.
  • This means it includes every unique element from both sets.
  • For instance, let \( E = \{1, 2, 3\} \) and \( F = \{3, 4, 5\} \). Their union, \( E \cup F \), would be \( \{1, 2, 3, 4, 5\} \).

Union is especially useful when we aim to capture the entirety of elements under consideration from different particles or groups, without repetition of shared elements. It is a basic but powerful concept that is utilized frequently in areas requiring combination or totality of elements.
Subset
A "subset" is a fundamental idea indicating the relationship between two sets. If we refer to a set \( A \) as a subset of another set \( B \), it means every element in \( A \) is also contained in \( B \), which is symbolically written as \( A \subseteq B \).
  • This can also be true if \( A \) is exactly equal to \( B \), meaning they contain the same elements.
  • For instance, if \( A = \{1, 2\} \) and \( B = \{1, 2, 3\} \), \( A \) is a subset of \( B \) because 1 and 2 are elements of \( B \).

Understanding subsets is essential in many mathematical disciplines, such as combinatorics and computer science, where it helps to analyze relationships and manage groupings or data structures effectively.
It's also important to note the concept of a "proper subset," which implies that \( A \) is a subset of \( B \) but not equal to \( B \) (written as \( A \subset B \)), adding more context when comparing two sets.

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Most popular questions from this chapter

A certain town of population size 100,000 has 3 newspapers: I, II, and III. The proportions of townspeople that read these papers are as follows: I: 10 percent \(\quad\) I and II: 8 percent \(\quad\) I and II and III: 1 percent \(\begin{aligned} \text { II: } 30 \text { percent } & \text { I and III: } 2 \text { percent } \\ \text { III: } 5 \text { percent } & \text { II and III: } 4 \text { percent } \end{aligned}\) (The list tells us, for instance, that 8000 people read newspapers \(I\) and II.) (a) Find the number of people reading only one newspaper. (b) How many people read at least two newspapers? (c) If \(\mathrm{I}\) and III are moming papers and II is an evening paper, how many people read at least one morning paper plus an evening paper? (d) How many people do not read any newspapers? (e) How many people read only one moming paper and one evening paper?

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Prove the following relations. $$ \left(\bigcup_{1} E_{i}\right) F=\bigcup_{1}^{\infty} E_{i} F, \text { and }\left(\bigcap_{1}^{\infty} E_{i}\right) \cup F=\bigcap_{1}^{\infty}\left(E_{l} \cup F\right) $$

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