Discrete mathematicsLesson 2 of 4 in the course Graph theory

Tree Structure, Rooting, Properties, and Counting in Graph Theory

5 flashcards · 5 quiz questions · 5 match pairs · 5 fill-in sentences · English

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Summary

This lesson introduces trees as fundamental structures in graph theory. We will connect several equivalent ways to recognize a tree and distinguish trees from forests.

A tree is an undirected graph in which every pair of distinct vertices is connected by exactly one path. Equivalently, a tree is connected and acyclic: there is a path between every pair of vertices, and there are no cycles.

All flashcards

What is a tree in graph theory?
An undirected graph that is connected and acyclic. Equivalently, every pair of distinct vertices has exactly one simple path between them.
What is a forest?
An undirected acyclic graph. Its connected components are trees, so it is a disjoint union of trees.
How are vertices and edges related in a finite tree?
A finite tree with VV vertices has V−1V-1 edges.
How can the number of components in a forest be calculated?
For a finite forest, the component count is V−EV-E, where VV is its number of vertices and EE its number of edges.
What distinguishes a leaf from a branch vertex?
A leaf has degree one; a branch vertex has degree at least three.

Quiz questions

  1. What two properties define an undirected tree?Answer: It is connected and acyclic.
  2. What is a spanning tree of a connected graph?Answer: A tree subgraph that contains every vertex.
  3. What makes a directed acyclic graph a polytree?Answer: Its underlying undirected graph is a tree.
  4. What condition defines a binary tree?Answer: Each vertex has at most two children.
  5. How many trees are there on a fixed set of nn labeled vertices, according to Cayley's formula?Answer: nn−2n^{n-2}

Based on the Wikipedia article Tree (graph theory), licensed CC BY-SA 4.0. Adapted into a summary, flashcards and quizzes.

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