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Consider a Venn diagram picturing two events \(A\) and \(B\) that are not disjoint. a. Shade the event \((A \cup B)^{C} .\) On a separate Venn diagram shade the event \(A^{C} \cap B^{C} .\) How are these two events related? b. Shade the event \((A \cap B)^{C} .\) On a separate Venn diagram shade the event \(A^{C} \cup B^{C} .\) How are these two events related? (Note: These two relationships together are called DeMorgan's laws.)

Short Answer

Expert verified
The shaded regions for \((A \cup B)^{C}\) and \(A^{C} \cap B^{C}\) are the same, as are the shaded regions for \((A \cap B)^{C}\) and \(A^{C} \cup B^{C}\). This proves DeMorgan's Laws, which state \((A \cup B)^{C} = A^{C} \cap B^{C}\), and \((A \cap B)^{C} = A^{C} \cup B^{C}\).

Step by step solution

01

- Venn Diagram for (A U B)'

Draw a Venn diagram including sets A and B overlapping. The shaded region for the event \((A \cup B)^{C}\) will be all areas outside of A and B, since \(A \cup B\) represents all elements that are in A, B or in both, and the prime notation represents the complement, meaning not in \(A \cup B\).
02

- Venn Diagram for \(A^{C} \cap B^{C}\)

In a new Venn diagram with sets A and B. The shaded region representing the event \(A^{C} \cap B^{C}\) will be all regions outside of A and B. Here \(A^{C}\) represents the set of elements not in A and \(B^{C}\) represents the set of elements not in B. The intersection \(\cap\) means that it is the set of elements that satisfy both conditions, which means everything outside of both A and B.
03

- Venn Diagram for \((A \cap B)^{C}\)

In another Venn diagram, the region representing the event \((A \cap B)^{C}\) will be everything outside the intersected region of A and B, since \(A \cap B\) represents the elements that are in both A and B.
04

- Venn Diagram for \(A^{C} \cup B^{C}\)

In a separate Venn diagram, \(A^{C} \cup B^{C}\) is represented by everything outside A and everything outside B, as \(A^{C}\) and \(B^{C}\) denotes the areas outside A and B respectively. The union \( \cup \) indicates that the set consists of the elements that are in \(A^{C}\), \(B^{C}\) or in both.
05

- Conclusions on DeMorgan's laws

The combinations \((A \cup B)^{C}\) and \(A^{C} \cap B^{C}\) visually look the same, as do the combinations \((A \cap B)^{C}\) and \(A^{C} \cup B^{C}\). This visualization confirms DeMorgan's Laws which state: \((A \cup B)^{C} = A^{C} \cap B^{C}\) and \((A \cap B)^{C} = A^{C} \cup B^{C}\)

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Key Concepts

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

Venn Diagram
A Venn diagram is a powerful tool used to illustrate relationships between different sets. Imagine it as overlapping circles where each circle represents a set. For example, sets \(A\) and \(B\) can overlap if they share common elements. Venn diagrams help us visualize operations like union, intersection, and complement in set theory.

To depict \((A \cup B)^{C}\), shade everything outside both sets \(A\) and \(B\). The union, \(A \cup B\), includes everything in either \(A\), \(B\), or both. Therefore, its complement consists of all elements not in these areas. This shaded region helps you see what's not included in either set, demonstrating how simple it is to understand set relations using Venn diagrams.
  • Union \(A \cup B\): Elements in \(A\), \(B\), or both.
  • Intersection \(A \cap B\): Elements common to both \(A\) and \(B\).
  • Complement: Elements not in the specified set or sets.
Set Theory
Set theory is a fundamental concept in mathematics, providing a basic framework to understand collections of objects or elements. Each 'set' is simply a group of distinct items. Operations in set theory include union, intersection, and complement, which help define relationships between sets.

The union, denoted by \( \cup \), combines all elements from both sets. The intersection, marked by \( \cap \), includes only the elements common to both. Complements, like \(A^{C}\), indicate elements not in the set \(A\). Understanding these operations is crucial for grasping concepts like DeMorgan's Laws, which provide rules relating to sets and logic expressions.
  • Set: A collection of items.
  • Union \( \cup \): Combines items from two sets.
  • Intersection \( \cap \): Common items in both sets.
  • Complement \(^{C}\): Items not in the specific set.
Logic in Mathematics
Logic in mathematics deals with the principles of reasoning and specifically how mathematical statements relate to truth values. This is closely tied to set theory when using operations to form new sets. DeMorgan's Laws provide a vital role in logical expressions.

DeMorgan's Laws are logical equivalences that describe how the complement of a union relates to the intersection of complements, and vice versa. The laws state:
  • \((A \cup B)^{C} = A^{C} \cap B^{C}\): The complement of the union of two sets equals the intersection of their complements.
  • \((A \cap B)^{C} = A^{C} \cup B^{C}\): The complement of the intersection equals the union of their complements.
These laws simplify complex expressions and are essential in mathematical logic and proofs. By visualizing these concepts with Venn diagrams or through direct logical reasoning, learners can deepen their mathematical understanding.

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Most popular questions from this chapter

Consider a system consisting of four components, as pictured in the following diagram: Components 1 and 2 form a series subsystem, as do Components 3 and 4 . The two subsystems are connected in parallel. Suppose that \(P(1\) works \()=.9, P(2\) works \()=\) \(.9, P(3\) works \()=.9\), and \(P(4\) works \()=.9\) and that the four components work independently of one another. a. The 1-2 subsystem works only if both components work. What is the probability of this happening? b. What is the probability that the \(1-2\) subsystem doesn't work? that the \(3-4\) subsystem doesn't work? c. The system won't work if the \(1-2\) subsystem doesn't work and if the \(3-4\) subsystem also doesn't work. What is the probability that the system won't work? that it will work? d. How would the probability of the system working change if a \(5-6\) subsystem were added in parallel with the other two subsystems? e. How would the probability that the system works change if there were three components in series in each of the two subsystems?

The report "TV Drama/Comedy Viewers and Health Information" (www.cdc.gov/Healthmarketing) describes the results of a large survey involving approximately 3500 people that was conducted for the Center for Disease Control. The sample was selected in a way that the Center for Disease Control believed would result in a sample that was representative of adult Americans. One question on the survey asked respondents if they had learned something new about a health issue or disease from a TV show in the previous 6 months. Data from the survey was used to estimate the following probabilities, where \(L=\) event that a randomly selected adult American reports learning something new about a health issue or disease from a TV show in the previous 6 months and \(F=\) event that a randomly selected adult American is female $$ P(L)=.58 \quad P(L \cap F)=.31 $$ Assume that \(P(F)=.5\). Are the events \(L\) and \(F\) independent events? Use probabilities to justify your answer.

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