Set theory Study Guide
Study Guide
📖 Core Concepts
Set: A collection of distinct objects (elements).
Element membership: $o \in A$ means o is in set A.
Subset: $A \subseteq B$ ⇔ every element of A is also in B.
Proper subset: $A \subset B$ ⇔ $A \subseteq B$ and $A \neq B$.
Power set: $\mathcal{P}(A)=\{\,S\mid S\subseteq A\,\}$, the set of all subsets of A.
Cardinality: Size of a set; two sets have the same cardinality iff there is a bijection between them.
Countable vs. Uncountable:
Countable: can be listed (bijection with $\mathbb{N}$).
Uncountable: cannot be listed (e.g., $\mathbb{R}$).
Transfinite numbers:
Cardinals: $\aleph0, \aleph1,\dots$ (sizes of infinite sets).
Ordinals: $\omega, \omega+1,\dots$ (order types of well‑ordered sets).
Axiomatic set theory (ZFC): Formal system (Zermelo–Fraenkel + Choice) that avoids paradoxes by restricting set formation.
Universe $V$: The class of all sets obtainable from the ZFC axioms; a model of ZFC.
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📌 Must Remember
Cantor’s Theorem: $|\mathcal{P}(A)| > |A|$ for any set $A$ (even infinite).
Uncountability of $\mathbb{R}$: No bijection $\mathbb{R}\leftrightarrow\mathbb{N}$ (proved by diagonalization).
Empty set: $\varnothing$ has no elements; $\varnothing \subseteq A$ for any $A$.
Union / Intersection:
$A\cup B = \{x\mid x\in A\lor x\in B\}$
$A\cap B = \{x\mid x\in A\land x\in B\}$
Complement: $A^{c}=U\setminus A$ (relative to a universal set $U$).
Symmetric difference: $A\triangle B = (A\setminus B)\cup(B\setminus A)$.
Cartesian product: $A\times B=\{(a,b)\mid a\in A,\,b\in B\}$.
Axiom of Choice (AC): For any family of non‑empty sets $\{Ai\}{i\in I}$, there exists a function $f$ with $f(i)\in Ai$ for each $i$.
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🔄 Key Processes
Proving a set is countable
Find an explicit bijection $f:\mathbb{N}\to S$ or show $S\subseteq\mathbb{N}$.
Diagonalization (showing uncountability)
Assume a listing of $\mathbb{R}$, construct a new real by flipping the $n^{\text{th}}$ digit of the $n^{\text{th}}$ entry → contradiction.
Using Cantor’s Theorem
Given $A$, define $g:A\to\mathcal{P}(A)$ by $g(a)=\{a\}$ (injective).
Show no surjection $h:A\to\mathcal{P}(A)$ can exist via the classic “Russell set” $R=\{a\in A\mid a\notin h(a)\}$.
Building sets in ZFC (von Neumann hierarchy)
$V0=\varnothing$, $V{\alpha+1}=\mathcal{P}(V\alpha)$, $V\lambda=\bigcup{\beta<\lambda}V\beta$ for limit ordinal $\lambda$ → $V=\bigcup{\alpha}V\alpha$.
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🔍 Key Comparisons
Subset vs. Proper Subset
$A\subseteq B$: $A$ may equal $B$.
$A\subset B$: $A$ is strictly smaller; $A\neq B$.
Union vs. Intersection
Union adds elements (logical OR).
Intersection keeps only common elements (logical AND).
Power Set vs. Original Set
$\mathcal{P}(A)$ contains all subsets, so $|\mathcal{P}(A)|$ is strictly larger than $|A|$.
Naive Comprehension vs. Axiomatic (ZFC)
Naive: “any property defines a set” → paradoxes (Russell).
ZFC: Restricts comprehension to subsets of existing sets (Separation), avoiding paradoxes.
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⚠️ Common Misunderstandings
“Every infinite set is larger than $\mathbb{N}$.”
False: $\mathbb{Z}$ and $\mathbb{Q}$ are countably infinite, same size as $\mathbb{N}$.
“The power set of a finite set has the same cardinality as the set.”
Wrong: $|\mathcal{P}(A)|=2^{|A|}$, always larger for $|A|\ge 1$.
“A set cannot be an element of itself.”
In ZFC this is guaranteed by the Foundation axiom; naive set theory allowed such “self‑membership” leading to paradoxes.
“Choice is needed for every selection problem.”
Not always; many finite or constructive selections can be made without AC.
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🧠 Mental Models / Intuition
Bijection = “perfect pairing”: Think of two groups of people shaking hands one‑to‑one; if every person in each group gets exactly one partner, the groups have the same size.
Power set as “all possible committees”: From a pool $A$, each subset is a possible committee; the number of committees grows exponentially.
Diagonalization as “changing the diagonal”: Visualize a list of infinite binary strings; flipping the diagonal creates a new string guaranteed to differ from every listed one.
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🚩 Exceptions & Edge Cases
Empty set in power set: $\mathcal{P}(\varnothing)=\{\varnothing\}$ (size 1, not 0).
Singleton sets: $|\{x\}|=1$, but $\mathcal{P}(\{x\})=\{\varnothing,\{x\}\}$ (size 2).
Axiom of Choice fails in some models: In the Cohen model, AC does not hold, showing that many results (e.g., every vector space has a basis) depend on AC.
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📍 When to Use Which
Counting problems → Try to construct an explicit bijection with $\mathbb{N}$ (countable) before declaring a set “infinite”.
Comparing sizes of infinite sets → Use Cantor’s theorem (power set) or construct explicit bijections (e.g., $\mathbb{N}\leftrightarrow\mathbb{Z}$).
Defining a new set → In ZFC, apply the Separation axiom: define $B=\{x\in A\mid \varphi(x)\}$ rather than unrestricted comprehension.
Need a choice function → If you have an indexed family of non‑empty disjoint sets and must pick one element from each, invoke AC.
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👀 Patterns to Recognize
“Listability” ⇒ Countable: Whenever a problem mentions “can be listed” or “enumerated”, think countable.
Diagonal argument structure: Assume a complete list, construct an element differing in the $n^{\text{th}}$ place of the $n^{\text{th}}$ entry → uncountable.
Subset‑of‑Power‑Set growth: Whenever you see $\mathcal{P}$ appear, expect an exponential increase in cardinality.
Paradox clues: Statements like “the set of all sets that do not contain themselves” signal the need for axiomatic restrictions.
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🗂️ Exam Traps
Mistaking “subset” for “proper subset” – answer choice may say “$A\subset B$” when $A=B$; the correct notation for “could be equal” is $\subseteq$.
Assuming all infinite sets are uncountable – $\mathbb{Q}$ is a classic counter‑example.
Confusing power set size with original set size – $|\mathcal{P}(A)| = 2^{|A|}$, never equal unless $A=\varnothing$.
Forgetting the need for AC – statements like “every family of non‑empty sets has a choice function” are false without AC; exam may present a finite family to trick you.
Misapplying diagonalization – it proves uncountability of $\mathbb{R}$, not that $\mathbb{R}$ is “larger than any set”; the correct conclusion is $|\mathbb{R}| > |\mathbb{N}|$.
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