Power Set

Context: FIT1058_MOC Β· the set of all subsets of a set Β· size Β· refined by size via the Binomial Coefficient

Quick Revision

  • 🎯 Objective: = all subsets of βž” including and .
  • πŸ“¦ Core Components: βž” binary-choice argument βž” .
  • ⚑ Key Constraint: exponential blow-up β€” gives over a million subsets.

πŸ“ Core

1. The Power Set (All Subsets)

  • Definition βž” β€” its elements are themselves sets.
  • Cardinality βž” (exponential).
  • Edge case βž” , size .

2. Why (Binary Choice)

  • Per element βž” include or exclude, independent options.
  • Product rule βž” subsets.

3. Maximum vs Maximal

  • Maximum βž” largest size of any qualifying subset (global).
  • Maximal βž” cannot be enlarged while keeping the property (local).
  • Relation βž” maximum ⟹ maximal, not conversely (dually minimum/minimal).

Key identities:

βš–οΈ Core Decision Matrix

NotionMeaningExample
maximumlargest size anywheremaximum clique
maximalcan’t be extendedmaximal clique
minimumsmallest sizeβ€”
minimalcan’t be shrunkβ€”

When It Flips: subsets split by size β€” per layer, summing to (Binomial Coefficient). Contrast the Cartesian Product: its size multiplies, whereas the power set's is exponential.

πŸ“Š Exam Execution Trace

Manual Execution Trace

by size:

Step / StateSize Subsets
0 (Init)β€”β€”β€”
101
213
323
431

⚠️ Common Mistakes

  • πŸ’‘ Elements of are sets βž” and are members; and enumerating is infeasible for large (over subsets at ).

🧠 Active Recall