upgrade
upgrade

Intro to the Theory of Sets

Set Identities

Study smarter with Fiveable

Get study guides, practice questions, and cheatsheets for all your subjects. Join 500,000+ students with a 96% pass rate.

Get Started

Why This Matters

Set identities are the algebraic backbone of set theory—they're the rules that let you manipulate, simplify, and transform set expressions with confidence. You're being tested not just on whether you can recall that AB=BAA \cup B = B \cup A, but on whether you can apply these identities to simplify complex expressions, construct proofs, and recognize equivalent forms. These identities mirror logical equivalences in propositional logic, which means mastering them here pays dividends across discrete mathematics, computer science, and formal reasoning.

Think of set identities as your toolkit for problem-solving. Each identity captures a fundamental truth about how sets behave under union, intersection, and complementation. On exams, you'll need to chain multiple identities together to prove statements or simplify expressions—so don't just memorize formulas. Know which identity applies in which situation, and understand the underlying principle each one demonstrates.


Structural Identities: Order and Grouping Don't Matter

These identities establish that union and intersection are well-behaved operations—you can rearrange and regroup freely without changing results. This flexibility is what makes algebraic manipulation of sets possible.

Commutative Laws

  • Order is irrelevantAB=BAA \cup B = B \cup A and AB=BAA \cap B = B \cap A hold for all sets
  • Mirrors arithmetic commutativity where a+b=b+aa + b = b + a, reinforcing the algebraic structure of set operations
  • Proof strategy: When simplifying expressions, freely reorder terms to group related sets together

Associative Laws

  • Grouping doesn't affect outcome(AB)C=A(BC)(A \cup B) \cup C = A \cup (B \cup C) and (AB)C=A(BC)(A \cap B) \cap C = A \cap (B \cap C)
  • Parentheses become optional for chains of the same operation, letting you write ABCA \cup B \cup C unambiguously
  • Critical for proofs: Allows you to regroup terms strategically when working toward a target expression

Idempotent Laws

  • Repetition changes nothingAA=AA \cup A = A and AA=AA \cap A = A
  • Eliminates redundancy in expressions; if you see the same set appearing multiple times, collapse it
  • Unique to set operations: Unlike arithmetic (where a+a=2aa + a = 2a), sets don't "stack"

Compare: Commutative vs. Associative Laws—both allow rearrangement, but commutative swaps order while associative changes grouping. On proofs, identify which type of rearrangement you need before citing the identity.


Identity and Domination: The Extremes

These identities describe how sets interact with the two "extreme" sets: the empty set \emptyset and the universal set UU. Understanding these boundary cases is essential for simplification and proof construction.

Identity Laws

  • Empty set is the union identityA=AA \cup \emptyset = A because adding nothing changes nothing
  • Universal set is the intersection identityAU=AA \cap U = A because intersecting with everything keeps only what's in AA
  • Analogous to arithmetic: \emptyset behaves like 0 in addition; UU behaves like 1 in multiplication

Domination Laws

  • Universal set dominates unionAU=UA \cup U = U because UU already contains everything
  • Empty set dominates intersectionA=A \cap \emptyset = \emptyset because there's nothing to intersect with
  • Simplification shortcut: Spot these patterns early to collapse complex expressions quickly

Compare: Identity Laws vs. Domination Laws—identity laws preserve the set (AA stays AA), while domination laws override it (result is always UU or \emptyset). Both involve extreme sets but with opposite effects.


Distribution and Absorption: Combining Operations

These identities govern how union and intersection interact with each other. They're your primary tools for expanding or factoring set expressions.

Distributive Laws

  • Intersection distributes over unionA(BC)=(AB)(AC)A \cap (B \cup C) = (A \cap B) \cup (A \cap C)
  • Union distributes over intersectionA(BC)=(AB)(AC)A \cup (B \cap C) = (A \cup B) \cap (A \cup C)
  • Key difference from arithmetic: Both directions work for sets, unlike numbers where only multiplication distributes over addition

Absorption Laws

  • Union absorbs intersectionA(AB)=AA \cup (A \cap B) = A because ABAA \cap B \subseteq A
  • Intersection absorbs unionA(AB)=AA \cap (A \cup B) = A because AABA \subseteq A \cup B
  • Simplification power: When you see a set combined with an expression containing itself, absorption likely applies

Compare: Distributive vs. Absorption Laws—distribution expands expressions (more terms), while absorption collapses them (fewer terms). Use distribution when you need to "break apart" a complex term; use absorption when you spot redundancy.


Complement Identities: Negation and Duality

These identities describe how complements behave—the relationship between a set and everything not in it. De Morgan's Laws are particularly high-yield for exams and proofs.

Complement Laws

  • Union with complement gives universal setAA=UA \cup A' = U covers all possibilities
  • Intersection with complement gives empty setAA=A \cap A' = \emptyset since nothing is both in and out of AA
  • Foundational for proofs: These establish that AA and AA' partition the universal set

Double Complement Law

  • Complementing twice returns the original(A)=A(A')' = A
  • Negation is reversible: What's outside of "outside AA" is just AA itself
  • Proof technique: Use this to eliminate double negations when simplifying complement expressions

De Morgan's Laws

  • Complement of union becomes intersection of complements(AB)=AB(A \cup B)' = A' \cap B'
  • Complement of intersection becomes union of complements(AB)=AB(A \cap B)' = A' \cup B'
  • Most frequently tested identity: Memorize both directions and practice applying them in chains

Compare: Complement Laws vs. De Morgan's Laws—complement laws deal with a single set and its complement, while De Morgan's transforms complements of compound expressions. If an FRQ asks you to simplify an expression with complemented unions or intersections, De Morgan's is almost certainly required.


Quick Reference Table

ConceptBest Examples
Order/Grouping FlexibilityCommutative Laws, Associative Laws
Neutral ElementsIdentity Laws (\emptyset for \cup, UU for \cap)
Extreme/Boundary BehaviorDomination Laws, Complement Laws
Expanding ExpressionsDistributive Laws
Collapsing ExpressionsAbsorption Laws, Idempotent Laws
Working with ComplementsDe Morgan's Laws, Double Complement Law
Partitioning Universal SetComplement Laws (AA=UA \cup A' = U)

Self-Check Questions

  1. Which two identities both allow you to rearrange set expressions, and what's the key difference between them?

  2. You encounter the expression A(AB)A \cup (A \cap B). Which identity simplifies this, and what's the result?

  3. Compare and contrast the Identity Laws and Domination Laws: how does each involve \emptyset and UU, and when does the original set "survive" versus get overwritten?

  4. Simplify (AB)(A \cap B)' using De Morgan's Laws. Now apply the Double Complement Law to ((A))((A')'). How do these two types of complement identities serve different purposes?

  5. An FRQ asks you to prove that A(BC)=(AB)(AC)A \cap (B \cup C) = (A \cap B) \cup (A \cap C). Which identity is this, and what's the analogous identity with union and intersection swapped?