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Questions and Answers
Given a countably infinite set $S$ and its power set $\mathcal{P}(S)$, formulate a precise argument, leveraging Zermelo’s Axiom of Choice, demonstrating the existence of a surjection from $\mathcal{P}(S)$ onto $S$. Detail any subtle dependencies on choice principles.
Given a countably infinite set $S$ and its power set $\mathcal{P}(S)$, formulate a precise argument, leveraging Zermelo’s Axiom of Choice, demonstrating the existence of a surjection from $\mathcal{P}(S)$ onto $S$. Detail any subtle dependencies on choice principles.
Assuming the Axiom of Choice, for each non-empty subset $A \subseteq S$, choose an element $f(A) \in A$. This defines a function $f: \mathcal{P}(S) \setminus {\emptyset} \to S$. Since $S$ is countably infinite, its cardinality is $\aleph_0$, while the cardinality of $\mathcal{P}(S)$ is $2^{\aleph_0}$, which is strictly greater than $\aleph_0$ (Cantor's Theorem). Without additional axioms, constructing a surjection is not straightforward. The ability to choose such an element from each subset necessitates the Axiom of Choice, particularly if we seek such a function explicitly.
Consider an uncountable set $X$ within a universal set $U$. Construct a rigorous proof demonstrating that either the complement of $X$ in $U$, denoted $X^c$, is also uncountable, or provide a counterexample and a justification for why a general proof is unattainable within ZFC set theory.
Consider an uncountable set $X$ within a universal set $U$. Construct a rigorous proof demonstrating that either the complement of $X$ in $U$, denoted $X^c$, is also uncountable, or provide a counterexample and a justification for why a general proof is unattainable within ZFC set theory.
Assume, for contradiction, $X^c$ is countable. Then $U = X \cup X^c$. If both $X$ and $X^c$ are countable, then $U$ would be countable, which contradicts the premise that $X$ is uncountable and a subset of a universal set $U$. Therefore $X^c$ must be uncountable, unless $U$ is countable, in which case the premise that X is uncountable is violated. A counterexample within ZFC is unattainable, as that would violate fundamental properties of set theory.
Given two sets $A$ and $B$, define a third set $C$ such that $C \subseteq A \cup B$, $C \cap A \neq \emptyset$, and $C \cap B \neq \emptyset$. Formulate a necessary and sufficient condition, expressed in terms of set inclusion or equality involving $A$, $B$, and $C$, under which $C = A \cup B$.
Given two sets $A$ and $B$, define a third set $C$ such that $C \subseteq A \cup B$, $C \cap A \neq \emptyset$, and $C \cap B \neq \emptyset$. Formulate a necessary and sufficient condition, expressed in terms of set inclusion or equality involving $A$, $B$, and $C$, under which $C = A \cup B$.
The necessary and sufficient condition is that $A \subseteq C$ and $B \subseteq C$. This ensures that every element in $A$ and every element in $B$ is also in $C$, and since $C$ is already a subset of $A \cup B$, this implies that $C$ must be equal to $A \cup B$.
Let $A$ and $B$ be arbitrary sets. Prove that $\mathcal{P}(A \cap B) = \mathcal{P}(A) \cap \mathcal{P}(B)$, where $\mathcal{P}(X)$ denotes the power set of $X$.
Let $A$ and $B$ be arbitrary sets. Prove that $\mathcal{P}(A \cap B) = \mathcal{P}(A) \cap \mathcal{P}(B)$, where $\mathcal{P}(X)$ denotes the power set of $X$.
Consider an infinite sequence of sets $A_1, A_2, A_3, \dots$. Define $\liminf_{n \to \infty} A_n$ and $\limsup_{n \to \infty} A_n$. Provide a comprehensive example where $\liminf_{n \to \infty} A_n \neq \limsup_{n \to \infty} A_n$, and justify why they differ.
Consider an infinite sequence of sets $A_1, A_2, A_3, \dots$. Define $\liminf_{n \to \infty} A_n$ and $\limsup_{n \to \infty} A_n$. Provide a comprehensive example where $\liminf_{n \to \infty} A_n \neq \limsup_{n \to \infty} A_n$, and justify why they differ.
Given sets $A$, $B$, and $C$, prove or disprove: If $A \cup B = A \cup C$, then $B = C$. If the statement is false, provide a counterexample and then specify additional conditions under which the implication becomes valid.
Given sets $A$, $B$, and $C$, prove or disprove: If $A \cup B = A \cup C$, then $B = C$. If the statement is false, provide a counterexample and then specify additional conditions under which the implication becomes valid.
Formally define the concept of a 'hereditarily finite set'. Then, using only the axioms of ZFC set theory (without the Axiom of Infinity), prove that the set of all hereditarily finite sets is itself a set.
Formally define the concept of a 'hereditarily finite set'. Then, using only the axioms of ZFC set theory (without the Axiom of Infinity), prove that the set of all hereditarily finite sets is itself a set.
Given the universal set $U = \mathbb{R}$, let $A = {x \in \mathbb{R} \mid x^2 < 2}$ and $B = {x \in \mathbb{R} \mid |x - 1| < 1}$. Determine the complement of $A \cap B$ with respect to $U$, expressing it in interval notation and rigorously justifying each step.
Given the universal set $U = \mathbb{R}$, let $A = {x \in \mathbb{R} \mid x^2 < 2}$ and $B = {x \in \mathbb{R} \mid |x - 1| < 1}$. Determine the complement of $A \cap B$ with respect to $U$, expressing it in interval notation and rigorously justifying each step.
Let $S$ be a collection of sets. Define the properties that $S$ must satisfy to be considered a σ-algebra. Provide a non-trivial example of a σ-algebra on the set $X = {a, b, c}$.
Let $S$ be a collection of sets. Define the properties that $S$ must satisfy to be considered a σ-algebra. Provide a non-trivial example of a σ-algebra on the set $X = {a, b, c}$.
Let $A$ and $B$ be subsets of a universal set $U$. Without using Venn diagrams, prove De Morgan's Law: $(A \cup B)^c = A^c \cap B^c$.
Let $A$ and $B$ be subsets of a universal set $U$. Without using Venn diagrams, prove De Morgan's Law: $(A \cup B)^c = A^c \cap B^c$.
Define the symmetric difference of two sets $A$ and $B$, denoted $A \triangle B$. Prove that $A \triangle B = (A \cup B) \setminus (A \cap B)$.
Define the symmetric difference of two sets $A$ and $B$, denoted $A \triangle B$. Prove that $A \triangle B = (A \cup B) \setminus (A \cap B)$.
Let $f: X \to Y$ be a function, and let $A, B \subseteq X$. Prove or disprove: $f(A \cap B) = f(A) \cap f(B)$. If the statement is false, provide a counterexample and then specify conditions under which the implication becomes valid.
Let $f: X \to Y$ be a function, and let $A, B \subseteq X$. Prove or disprove: $f(A \cap B) = f(A) \cap f(B)$. If the statement is false, provide a counterexample and then specify conditions under which the implication becomes valid.
Let $A, B, C$ be sets. Prove the distributive law: $A \cap (B \cup C) = (A \cap B) \cup (A \cap C)$.
Let $A, B, C$ be sets. Prove the distributive law: $A \cap (B \cup C) = (A \cap B) \cup (A \cap C)$.
Suppose $A$ and $B$ are sets such that $A \subseteq B$. Prove that $B^c \subseteq A^c$.
Suppose $A$ and $B$ are sets such that $A \subseteq B$. Prove that $B^c \subseteq A^c$.
Formulate a statement, equivalent to the Axiom of Choice, using only the concepts of sets, functions, and surjections. Justify the equivalence rigorously.
Formulate a statement, equivalent to the Axiom of Choice, using only the concepts of sets, functions, and surjections. Justify the equivalence rigorously.
Given a set $A$, characterize the set of all subsets of $A$ that are both open and closed in the discrete topology on $A$. Provide a proof for your characterization.
Given a set $A$, characterize the set of all subsets of $A$ that are both open and closed in the discrete topology on $A$. Provide a proof for your characterization.
Let $A$ be a set. Prove that there is no surjection from $A$ to its power set $\mathcal{P}(A)$. (Cantor’s Theorem)
Let $A$ be a set. Prove that there is no surjection from $A$ to its power set $\mathcal{P}(A)$. (Cantor’s Theorem)
Consider a partially ordered set $(X, \leq)$. Define what it means for a subset $C \subseteq X$ to be a chain. Then, leveraging Zorn's Lemma, prove that every set $A$ contains a maximal chain with respect to set inclusion.
Consider a partially ordered set $(X, \leq)$. Define what it means for a subset $C \subseteq X$ to be a chain. Then, leveraging Zorn's Lemma, prove that every set $A$ contains a maximal chain with respect to set inclusion.
Let $A$ be a set. Define the characteristic function $\chi_A(x)$ of $A$. Then, given two sets $A$ and $B$, express the characteristic function of $A \cup B$, $A \cap B$, and $A^c$ in terms of $\chi_A(x)$ and $\chi_B(x)$. Where complements are defined with respect to a universal set, $U$.
Let $A$ be a set. Define the characteristic function $\chi_A(x)$ of $A$. Then, given two sets $A$ and $B$, express the characteristic function of $A \cup B$, $A \cap B$, and $A^c$ in terms of $\chi_A(x)$ and $\chi_B(x)$. Where complements are defined with respect to a universal set, $U$.
Let $A$ and $B$ be two sets. Prove or disprove that $\mathcal{P}(A \cup B) = \mathcal{P}(A) \cup \mathcal{P}(B)$. If false, provide a counterexample and describe the correct relationship between the two sets.
Let $A$ and $B$ be two sets. Prove or disprove that $\mathcal{P}(A \cup B) = \mathcal{P}(A) \cup \mathcal{P}(B)$. If false, provide a counterexample and describe the correct relationship between the two sets.
Let $f:X \rightarrow Y$ be a function. For any subset $B$ of $Y$, define $f^{-1}(B) = {x \in X | f(x) \in B}$ as the preimage of $B$. Prove that for any collection of subsets ${B_i}{i \in I}$ of $Y$, $f^{-1}(\bigcup{i \in I} B_i) = \bigcup_{i \in I} f^{-1}(B_i)$.
Let $f:X \rightarrow Y$ be a function. For any subset $B$ of $Y$, define $f^{-1}(B) = {x \in X | f(x) \in B}$ as the preimage of $B$. Prove that for any collection of subsets ${B_i}{i \in I}$ of $Y$, $f^{-1}(\bigcup{i \in I} B_i) = \bigcup_{i \in I} f^{-1}(B_i)$.
Let $A$ and $B$ be two sets. Prove that if $A \subseteq B$, then $\mathcal{P}(A) \subseteq \mathcal{P}(B)$, where $\mathcal{P}(X)$ denotes the power set of $X$.
Let $A$ and $B$ be two sets. Prove that if $A \subseteq B$, then $\mathcal{P}(A) \subseteq \mathcal{P}(B)$, where $\mathcal{P}(X)$ denotes the power set of $X$.
Flashcards
What is a Set?
What is a Set?
A well-defined collection of distinct objects, considered as an object in its own right.
What are Elements?
What are Elements?
Objects that make up a set.
What is the Roster Method?
What is the Roster Method?
Listing all elements within curly braces. E.g., A = {1, 2, 3, 4}.
What is Set-Builder Notation?
What is Set-Builder Notation?
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What is the Empty Set?
What is the Empty Set?
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What is the Universal Set?
What is the Universal Set?
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What is a Subset?
What is a Subset?
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What is a Proper Subset?
What is a Proper Subset?
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Is a Set a Subset of Itself?
Is a Set a Subset of Itself?
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Is the Empty Set a Subset of Every Set?
Is the Empty Set a Subset of Every Set?
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What is the Union of Sets?
What is the Union of Sets?
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What is the Intersection of Sets?
What is the Intersection of Sets?
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What is the Complement of a Set?
What is the Complement of a Set?
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What are Venn Diagrams?
What are Venn Diagrams?
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What is the Commutative Law for Union?
What is the Commutative Law for Union?
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What is the Commutative Law for Intersection?
What is the Commutative Law for Intersection?
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What is the Associative Law for Union?
What is the Associative Law for Union?
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What is the Associative Law for Intersection?
What is the Associative Law for Intersection?
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What is the Distributive Law of Union over Intersection?
What is the Distributive Law of Union over Intersection?
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What is the Distributive Law of Intersection over Union?
What is the Distributive Law of Intersection over Union?
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What is the Identity Law for Union?
What is the Identity Law for Union?
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What is the Identity Law for Intersection?
What is the Identity Law for Intersection?
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What is the Complement Law for Union?
What is the Complement Law for Union?
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What is the Complement Law for Intersection?
What is the Complement Law for Intersection?
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What is De Morgan's Law (Union)?
What is De Morgan's Law (Union)?
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What is De Morgan's Law (Intersection)?
What is De Morgan's Law (Intersection)?
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Union when A is a subset of B?
Union when A is a subset of B?
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Intersection when A is a subset of B?
Intersection when A is a subset of B?
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What are Disjoint Sets?
What are Disjoint Sets?
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What is the statistical application of Venn Diagrams?
What is the statistical application of Venn Diagrams?
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Study Notes
- Elementary set theory is a fundamental concept in mathematics dealing with collections of objects, known as sets
Sets and Elements
- A set is a well-defined collection of distinct objects, considered as an object in its own right
- Elements or members are the objects that make up a set
- Sets are typically denoted by uppercase letters (e.g., A, B, C), and elements by lowercase letters (e.g., a, b, c)
- x ∈ A denotes that element 'x' belongs to set A
- y ∉ A denotes that element 'y' does not belong to set A
Defining Sets
- Roster Method: Listing all elements within curly braces, for example: A = {1, 2, 3, 4}
- Set-Builder Notation: Defining a set by specifying a property that its elements must satisfy, for example: B = {x | x is an even number}
- Empty Set: A set contains no elements, denoted by ∅ or { }
- Universal Set: A set contains all possible elements under consideration, denoted by U
Subsets
- A set A is a subset of a set B if every element of A is also an element of B; this is denoted as A ⊆ B
- A ⊂ B denotes that A is a proper subset of B if A ⊆ B and A ≠B
- Every set is a subset of itself, A ⊆ A
- The empty set is a subset of every set, ∅ ⊆ A for any set A
- To prove that A ⊆ B, show that if x ∈ A, then x ∈ B
Union
- The union of two sets A and B is the set containing all elements that are in A, or in B, or in both
- It is denoted as A ∪ B
- A ∪ B = {x | x ∈ A or x ∈ B}
- The union is commutative: A ∪ B = B ∪ A
- The union is associative: (A ∪ B) ∪ C = A ∪ (B ∪ C)
- A ∪ ∅ = A
- A ∪ A = A
- If A ⊆ B, then A ∪ B = B
Intersection
- The intersection of two sets A and B is the set containing all elements that are common to both A and B
- It is denoted as A ∩ B
- A ∩ B = {x | x ∈ A and x ∈ B}
- The intersection is commutative: A ∩ B = B ∩ A
- The intersection is associative: (A ∩ B) ∩ C = A ∩ (B ∩ C)
- A ∩ ∅ = ∅
- A ∩ A = A
- If A ⊆ B, then A ∩ B = A
- If A ∩ B = ∅, then A and B are said to be disjoint sets
Complements
- The complement of a set A (with respect to the universal set U) is the set containing all elements in U that are not in A
- It is denoted as A' or Aᶜ
- A' = {x | x ∈ U and x ∉ A}
- (A')' = A, the complement of the complement of A is A
- A ∪ A' = U
- A ∩ A' = ∅
- U' = ∅
- ∅' = U
Venn Diagrams
- Venn diagrams are graphical representations of sets using circles or other shapes within a rectangle representing the universal set
- They are used to visualize relationships between sets, such as unions, intersections, and complements
- Each set is represented by a circle, and the overlapping areas represent the intersection of the sets
- The area outside the circle representing set A but inside the rectangle represents the complement of A
- Shading regions in a Venn diagram helps illustrate the results of set operations
Set Identities
- Commutative Laws:
- A ∪ B = B ∪ A
- A ∩ B = B ∩ A
- Associative Laws:
- (A ∪ B) ∪ C = A ∪ (B ∪ C)
- (A ∩ B) ∩ C = A ∩ (B ∩ C)
- Distributive Laws:
- A ∪ (B ∩ C) = (A ∪ B) ∩ (A ∪ C)
- A ∩ (B ∪ C) = (A ∩ B) ∪ (A ∩ C)
- Identity Laws:
- A ∪ ∅ = A
- A ∩ U = A
- Complement Laws:
- A ∪ A' = U
- A ∩ A' = ∅
- De Morgan's Laws:
- (A ∪ B)' = A' ∩ B'
- (A ∩ B)' = A' ∪ B'
Applications of Set Theory
- Set theory is used in various branches of mathematics, including logic, probability, statistics, and computer science
- It provides a foundation for defining mathematical structures and reasoning about their properties
- Set theory is used in database management, data analysis, and algorithm design within computer science
- Venn diagrams are used in data analysis and statistics to visually represent the relationships between different groups or categories
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