DATA STRUCTURES/Student Engineering Notebook
Page 05·notes
SELF-BALANCING TREES & MULTI-WAY INDICES—~34 MIN READ

AVL Trees: Height Balancing, Rotations & Minimal Node Bounds

“Balance factors, single and double rotations (LL, RR, LR, RL), Fibonacci recurrence for minimal nodes, and height bounds.”

1.The AVL Invariant & The Four Rotation Types

An AVL Tree (Adelson-Velsky and Landis) is a self-balancing binary search tree.

Balance Factor (BF):

text{BF}(u) = text{Height}(text{LeftSubtree}(u)) - text{Height}(text{RightSubtree}(u)).

For every node in an AVL tree, text{BF}(u) in {-1, 0, +1}.

When an insertion causes text{BF} to become +2 or -2 at a critical node A:

1. LL Case (Inserted in Left of Left): Right rotation at A.

2. RR Case (Inserted in Right of Right): Left rotation at A.

3. LR Case (Inserted in Right of Left): Left rotation at A.left, then Right rotation at A.

4. RL Case (Inserted in Left of Right): Right rotation at A.right, then Left rotation at A.

Every rotation takes O(1) time, guaranteeing O(log n) insertion and deletion.

2.The Fibonacci Recurrence for Minimum AVL Nodes

To maximize height with the minimum number of nodes, one subtree of the root must have height h - 1 and the other must have height h - 2.

Recurrence for Minimum Nodes N(h):

N(h) = N(h - 1) + N(h - 2) + 1

With base cases (height of single node = 0):

- h = 0: N(0) = 1

- h = 1: N(1) = 2

- h = 2: N(2) = 2 + 1 + 1 = 4

- h = 3: N(3) = 4 + 2 + 1 = 7

- h = 4: N(4) = 7 + 4 + 1 = 12

- h = 5: N(5) = 12 + 7 + 1 = 20

- h = 6: N(6) = 20 + 12 + 1 = 33

Notice N(h) = F_{h+3} - 1, where F_k is the k-th Fibonacci number. Since Fibonacci numbers grow as phi^h (where phi approx 1.618), h approx log_phi n = 1.44 log_2 n = O(log n).

WORKED EXAM ANALYSIS · STEP-BY-STEP DERIVATIONOriginal Practice Problem · Modeled on GATE Pattern (2 Marks)

3. Worked Problem: Maximum Height of an AVL Tree Given Node Count

⚠️ Pitfall Warning:

If n falls strictly between N(h) and N(h+1), the maximum possible height is h, NOT h+1.

Problem: What is the maximum possible height of an AVL tree containing n = 30 nodes (where a single-node tree has height 0)?

Step 1: Compute minimum node thresholds N(h):

N(0) = 1

N(1) = 2

N(2) = 4

N(3) = 7

N(4) = 12

N(5) = 20

N(6) = 33

Step 2: Compare given n = 30 with thresholds:

N(5) = 20 <= 30 < N(6) = 33.

Step 3: Deduce maximum height:

To achieve height 6, an AVL tree requires at least 33 nodes.

Since we only have 30 nodes (< 33), a height of 6 is impossible.

Height 5 requires at least 20 nodes, which is satisfied (30 >= 20).

Final Answer: The maximum possible height is 5.

SOURCE TRANSPARENCY & CITATIONS

Primary Academic References & Exam Sources

Every concept in Notes From a B.Tech Brain is synthesized from authoritative academic texts, seminal peer-reviewed research, verified exam archives, and renowned university lectures.

Curated University Lecture Series
Introduction to Algorithms (4th Edition) ·
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