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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:

  1. There is exactly one simple path between any two vertices.
  2. T has exactly n − 1 edges.
  3. Removing any edge disconnects T; adding any edge between two vertices creates exactly one cycle.
  4. A tree with n ≥ 2 vertices has at least two leaves (vertices of degree 1).
  5. A graph is a tree iff it is connected with n − 1 edges, or acyclic with n − 1 edges.
  6. 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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