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Power set and universal set

We now meet two ideas that elevate set theory from a notation to a structure. The power set lets us treat the subsets of a set as elements of a new set. The universal set gives a fixed background against which complements and Venn diagrams make sense.

Definitions

Let AA be a set. The power set of AA, written P(A)P(A) (or P(A)\mathcal{P}(A), or sometimes 2A2^A), is the set whose elements are all subsets of AA: P(A)={S:S⊆A}.P(A) = \{S : S \subseteq A\}.

A universal set, usually denoted UU, is a set chosen for a discussion so that every set under consideration is a subset of UU.

Power set examples

  • If A=∅A = \varnothing, then P(A)={∅}P(A) = \{\varnothing\}. One element: the empty subset.
  • If A={a}A = \{a\}, then P(A)={∅,{a}}P(A) = \{\varnothing, \{a\}\}. Two elements.
  • If A={a,b}A = \{a, b\}, then P(A)={∅,{a},{b},{a,b}}P(A) = \{\varnothing, \{a\}, \{b\}, \{a, b\}\}. Four elements.
  • If A={1,2,3}A = \{1, 2, 3\}, then P(A)P(A) has ∅,{1},{2},{3},{1,2},{1,3},{2,3},{1,2,3}\varnothing, \{1\}, \{2\}, \{3\}, \{1,2\}, \{1,3\}, \{2,3\}, \{1,2,3\}. Eight elements.

The pattern is unmistakable: a set with nn elements has 2n2^n subsets.

Theorem: ∣P(A)∣=2∣A∣|P(A)| = 2^{|A|}

Claim. If AA is a finite set with ∣A∣=n|A| = n, then ∣P(A)∣=2n|P(A)| = 2^n.

Proof (counting argument). A subset SS of AA is determined by deciding, for each of the nn elements of AA, whether or not it belongs to SS. Each element has 22 independent choices: in or out. By the multiplication principle, the total number of subsets is 2×2×⋯×2⏟n times=2n.\qed\underbrace{2 \times 2 \times \cdots \times 2}_{n\text{ times}} = 2^n. \qed

Alternative proof (induction). Base case n=0n = 0: A=∅A = \varnothing, ∣P(∅)∣=1=20|P(\varnothing)| = 1 = 2^0. Inductive step: assume ∣P(A)∣=2n|P(A)| = 2^n for every nn-element set. Take an (n+1)(n+1)-element set A∪{x}A \cup \{x\} where x∉Ax \notin A. Every subset of A∪{x}A \cup \{x\} either omits xx (and is a subset of AA) or contains xx (and is S∪{x}S \cup \{x\} for some subset S⊆AS \subseteq A). These two families are disjoint and each has ∣P(A)∣=2n|P(A)| = 2^n elements. So ∣P(A∪{x})∣=2⋅2n=2n+1|P(A \cup \{x\})| = 2 \cdot 2^n = 2^{n+1}.

This is your first encounter with exponential growth in this course: doubling the size of AA does not double the size of P(A)P(A) , it squares it.

Universal set

In any problem we usually have a "world" of objects in mind. The set of all such objects for the problem is called the universal set. For example:

  • For divisibility problems: U=ZU = \mathbb{Z} or U=NU = \mathbb{N}.
  • For trigonometric problems: U=RU = \mathbb{R}.
  • For class-attendance data: U=U = all students in the class.

The choice of UU depends on context. Once UU is fixed, every set in the discussion is a subset of UU, and the complement of a set (next subtopic) becomes meaningful.

Why these matter

Power sets appear whenever we want to count subsets: in probability, an event is a subset of the sample space, so events are elements of P(S)P(S) where SS is the sample space; in combinatorics, choosing a committee is choosing a subset, and so on.

The universal set is what makes the diagram of a set finite to draw. Without specifying UU, the complement of {1,2,3}\{1, 2, 3\} is hopelessly ambiguous: complement in N\mathbb{N}? in Z\mathbb{Z}? in R\mathbb{R}? The universal set settles the question.

Worked examples

Example 1. List P({x,y,z})P(\{x, y, z\}).

Eight subsets: ∅, {x}, {y}, {z}, {x,y}, {x,z}, {y,z}, {x,y,z}\varnothing,\ \{x\},\ \{y\},\ \{z\},\ \{x, y\},\ \{x, z\},\ \{y, z\},\ \{x, y, z\}.

Example 2. If ∣A∣=5|A| = 5, how many subsets does AA have? How many of them have exactly 33 elements?

Total subsets: 25=322^5 = 32. Subsets of size 33: (53)=10\binom{5}{3} = 10 (revisited in Chapter 6).

Example 3. If ∣P(A)∣=32|P(A)| = 32, find ∣A∣|A|.

2n=32⇒n=52^n = 32 \Rightarrow n = 5. So ∣A∣=5|A| = 5.

Example 4. Take U={1,2,…,10}U = \{1, 2, \dots, 10\}, A={2,4,6,8,10}A = \{2, 4, 6, 8, 10\}. List the smallest universal set in which both AA and B={3,6,9}B = \{3, 6, 9\} are subsets, and verify that UU suffices.

A∪B={2,3,4,6,8,9,10}A \cup B = \{2, 3, 4, 6, 8, 9, 10\}. The smallest such universal set is A∪BA \cup B itself. But the given U={1,…,10}U = \{1, \dots, 10\} also contains all of these, so UU suffices.

Example 5 (harder). Prove: if A⊆BA \subseteq B, then P(A)⊆P(B)P(A) \subseteq P(B).

Let S∈P(A)S \in P(A). Then S⊆AS \subseteq A. By transitivity (since A⊆BA \subseteq B), S⊆BS \subseteq B, so S∈P(B)S \in P(B). Hence P(A)⊆P(B)P(A) \subseteq P(B).

Try it yourself

  1. List all elements of P({1,2})P(\{1, 2\}).
  2. How many subsets does a set with 88 elements have?
  3. If P(A)P(A) has 128128 elements, find ∣A∣|A|.
  4. Write all subsets of {a,b,c,d}\{a, b, c, d\} that have exactly two elements.
  5. If A={1,2,{3,4}}A = \{1, 2, \{3, 4\}\}, find ∣A∣|A| and ∣P(A)∣|P(A)|.
  6. Is {1,2}∈P({1,2,3})\{1, 2\} \in P(\{1, 2, 3\})? Is {1,2}⊆P({1,2,3})\{1, 2\} \subseteq P(\{1, 2, 3\})?
  7. Show that P(∅)={∅}P(\varnothing) = \{\varnothing\} and P({∅})={∅,{∅}}P(\{\varnothing\}) = \{\varnothing, \{\varnothing\}\}.
  8. Choose a sensible universal set for: (a) "the set of vowels"; (b) "rational solutions of a quadratic"; (c) "students who play football".
  9. Prove or disprove: P(A∩B)=P(A)∩P(B)P(A \cap B) = P(A) \cap P(B).
  10. Prove or disprove: P(A∪B)=P(A)∪P(B)P(A \cup B) = P(A) \cup P(B).
  11. If ∣A∣=n|A| = n, how many subsets of AA have an even number of elements? (Hint: split by including/excluding a fixed element.)
  12. Why is "U=U = the set of all sets" not a legal universal set? (Hint: it leads to Russell's paradox; this is taken on faith for now.)

Pitfalls / Tricks

  • ∅∈P(A)\varnothing \in P(A) and A∈P(A)A \in P(A) for every set AA. Both the empty subset and AA itself are subsets of AA.
  • {1}∈P({1,2})\{1\} \in P(\{1, 2\}) (true) is not the same as 1∈P({1,2})1 \in P(\{1, 2\}) (false , 11 is not a subset of {1,2}\{1, 2\}).
  • The universal set is a choice. The same set AA may have very different complements in different universes.
  • Insight. The map A↦P(A)A \mapsto P(A) takes nn to 2n2^n. It is the prototype of exponential blow-up , and the reason why brute-force search over subsets becomes infeasible quickly.

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