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Graph Theory - Isomorphisms and Subgraphs
Rating: 4.4 out of 5(3 ratings)
458 students

Graph Theory - Isomorphisms and Subgraphs

Learn Isomorphisms and Subgraphs in Graph Theory!
Created byLucas Bazilio
Last updated 4/2025
English

What you'll learn

  • Understand the concept of graph isomorphisms and their role in graph theory.
  • Solve fundamental problems in graph theory.
  • Explore the properties and applications of subgraphs and derived graphs.
  • Learn various operations on graphs and how they modify graph structures.

Course content

5 sections7 lectures1h 39m total length
  • Graph Isomorphism15:22

    In this lecture, we define the concept of isomorphisms in graph theory.

Requirements

  • Fundamentals of graph theory.
  • To have already taken Part 1

Description

Welcome to Graph Theory – Isomorphisms and Subgraphs, a course designed to take you deeper into the structural foundations of graph theory. If you're studying mathematics, computer science, engineering, or any field where graphs are used to model relationships and systems, this course will enhance your ability to recognize, compare, and analyze graph structures with precision and insight.

We begin by exploring the concept of graph isomorphism, which allows us to determine when two graphs are essentially the same, even if they are drawn differently or labeled with different vertices. This idea is central to understanding graph equivalence and is widely used in chemistry (e.g., comparing molecular structures), pattern recognition, and data analysis. You’ll learn how to identify isomorphic graphs, understand their properties, and apply systematic methods to test for isomorphism.

From there, we move on to the study of subgraphs — graphs formed from subsets of a larger graph’s vertices and edges. Subgraphs help us zoom in on specific portions of a graph and analyze local structure, patterns, and connectivity. You’ll learn about different types of subgraphs, including induced subgraphs, spanning subgraphs, and important special subgraphs like cliques and cycles. These tools are essential for decomposing graphs, analyzing large networks, and building up complex structures from simpler ones.

Throughout the course, you'll work through carefully chosen examples and intuitive explanations designed to make abstract concepts tangible and applicable. You'll not only learn the formal definitions and theorems, but also develop the reasoning skills to recognize structural patterns in a wide variety of graphs.

By the end of this course, you’ll have a deeper understanding of how to compare graphs, extract meaningful structure, and apply these ideas in both theoretical and practical contexts. This course will sharpen your analytical skills and prepare you for more advanced topics in graph theory and beyond.

Who this course is for:

  • Anyone interested in learning Graph Theory.
  • Engineering, Science, or Mathematics students.
  • Software engineers.
  • Programmers.