- 2069 Bhadra · 1+2+4 marks
Define tree; properties and applications
Short answer
A tree is a connected acyclic graph. Key properties: n vertices, n-1 edges, unique path between any two vertices, at least two leaves. Applications include binary search trees, decision trees, Huffman coding, network spanning trees, and hierarchical data structures.
Define a tree and discuss its various properties as well as applications of trees.
Definition
A tree is a connected undirected graph with no simple circuits (cycles).
Properties
For a tree T with n vertices:
- There is exactly one simple path between any two vertices.
- T has exactly n − 1 edges.
- Removing any edge disconnects T; adding any edge between two vertices creates exactly one cycle.
- A tree with n ≥ 2 vertices has at least two leaves (vertices of degree 1).
- A graph is a tree iff it is connected with n − 1 edges, or acyclic with n − 1 edges.
- A rooted tree has a root, and the terms parent, child, sibling, ancestor, descendant, leaf and internal vertex are defined by direction away from the root. In a full m-ary tree with i internal vertices, n = mi + 1 and leaves l = (m − 1)i + 1.
r n = 6 vertices, 5 edges
/ \ leaves: c, d, e
a b internal: r, a, b
/ \ \
c d e
Applications
- Binary search trees, heaps (searching, sorting, priority queues).
- Expression trees and parse trees in compilers.
- Decision trees (classification, lower bound for sorting).
- Huffman coding for data compression (prefix codes).
- Hierarchical structures: file systems, organization charts, XML/HTML DOM.
- Spanning trees for network design (minimum spanning tree) and routing.
- Game trees and backtracking search.
✓ Answer checked by Claude Opus 5.5 (high effort)
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