Stars and Bars
Complete Framework: Stars and Bars
1. Core Theory
Stars and Bars is a combinatorial technique used to find the number of ways to distribute n identical items into k distinct bins.
In this model:
Stars (⋆): Represent the identical items.
Bars (∣): Represent the dividers that create the bins. To create k bins, you need k−1 bars.
The fundamental principle is Bijective Mapping: Every unique arrangement of stars and bars corresponds to exactly one way to distribute the items.
2. The Two Primary Cases
Feature
Case 1: Non-Negative Integers
Case 2: Positive Integers
Condition
xi≥0 (Bins can be empty)
xi≥1 (Every bin gets )
Logic
Arrange n stars and k−1 bars.
Pre-place 1 star in each of the k bins.
Formula
(k−1n+k−1)
(k−1n−1)
Example
Distributing cookies to kids.
Partitioning a sum into variables ≥1.
3. Mathematical Derivation (Case 1)
To distribute n stars into k bins:
We have n items and k−1 dividers.
Total positions to fill = n+(k−1).
We must choose k−1 of these positions to place our bars (the rest automatically become stars).
Result: (k−1n+k−1).
4. Handling Constraints (L5 Logic)
A. Lower Bound Constraints ("At Least ")
If a bin xi must have at least M items:
Induce Shift: Pre-allocate M items to that bin.
Adjust n: nnew=ntotal−M.
Calculate: Use the standard formula with the updated n.
B. Upper Bound Constraints ("At Most M")
If a bin xi must have at most M items, use the Principle of Inclusion-Exclusion (PIE):
Calculate Total: Find combinations without the upper limit.
Calculate Illegal State: Force the bin to violate the limit (xi≥M+1).
Subtract: Valid=Total−Illegal.
5. Application: Lexicographical Sorting (LeetCode 1641)
Identity: Sorted strings are a special case of Stars and Bars.
The Principle: Since the order of characters is fixed by the "sorted" rule, the string is defined entirely by the frequency of each character.
Mapping: * n (Stars) = Length of the string.
k (Bins) = Number of available characters (e.g., 5 vowels).
Formula: (5−1n+5−1)=(4n+4).
6. Java Implementation (Computational Efficiency)
Complexity:
Time: O(r), where r is the number of bars.
Space: O(1), using iterative calculation to prevent stack overflow and minimize memory.
Examination Problem: Multi-Constraint PIE
Scenario: Find the number of non-negative integer solutions to:
Constraints:
Lower Bound: x1≥2, x2≥1, x3≥0.
Upper Bound: x1≤5.
Phase 1: Total Baseline (Lower Bounds)
Before addressing the "at most" limit, we must satisfy the "at least" requirements.
Initial Stars (n): 15
Pre-allocation: x1 takes 2, x2 takes 1.
Shifted Stars (n′): 15−2−1=12.
Bins (k): 3 variables.
Bars (r): 3−1=2.
Total Baseline Calculation:
Phase 2: Illegal State (Upper Bound Violation)
The constraint is x1≤5. We must find how many ways x1 can be 6 or greater.
Current State: x1 already has 2 stars from pre-allocation.
Target for Violation: x1 needs to reach a total of 6 stars.
Induced Shift: To go from 2 stars to 6 stars, x1 needs 4 more stars from our remaining pool of 12.
Remaining Stars (n′′): 12−4=8.
Illegal State Calculation:
Phase 3: Final Result
Apply the Principle of Inclusion-Exclusion (PIE):
Summary Table for Review
State
n (Stars)
r (Bars)
Result
Baseline
12
2
91
Illegal ()
8
2
45
Final
-
-
46
Python
Code output
Problem Statement: Multi-Constraint PIE
Find the number of non-negative integer solutions to: x1+x2+x3+x4=20
Constraints:
Lower Bounds: xi≥1 for all i∈{1,2,3,4}.
Upper Bounds: x1≤4 and x2≤5.
Derivation
1. Baseline Calculation
Apply global lower bounds xi≥1:
nstars=20−4=16
kbins=4
rbars=3
S=(4−116+4−1)=(319)=969
2. Principle of Inclusion-Exclusion (PIE)
Let $A$ be the set of solutions where x1 violates its upper bound ( x1≥5).
Let B be the set of solutions where x2 violates its upper bound (x2≥6).
Set A (Violation of x1):
x1 already has 1 star. To reach ≥5, we must shift 4 additional stars.
nA=16−4=12
∣A∣=(312+3)=(315)=455
Set B (Violation of x2):
x2 already has 1 star. To reach ≥6, we must shift 5 additional stars.
nB=16−5=11
∣B∣=(311+3)=(314)=364
Set A \cap B (Simultaneous Violation):
Shift 4 stars for x1 and 5 stars for x2
nA∩B=16−(4+5)=7
∣A∩B∣=(37+3)=(310)=120
3. Final Calculation
Valid Solutions = Total - (Violations)
Java Implementation
This implementation uses the PIE framework to handle arbitrary upper-bound constraints.
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