Warning: foreach() argument must be of type array|object, bool given in /var/www/html/web/app/themes/studypress-core-theme/template-parts/header/mobile-offcanvas.php on line 20

Prove that a connected undirected graph is orientable if and only if each edge is contained in a cycle.

Short Answer

Expert verified
A connected undirected graph is orientable if and only if every edge is part of a cycle.

Step by step solution

01

Understanding the Problem Statement

We need to prove that a connected undirected graph is orientable if and only if each edge is contained in a cycle. This requires us to demonstrate both directions, the 'if' and 'only if' conditions.
02

Proving 'If' Condition

To prove 'if' condition, assume each edge is contained in a cycle. This implies we can start at any vertex and can keep following along a cycle in a specific direction until we pass through all edges, giving the graph an orientation. Thus, such a graph is orientable.
03

Proving 'Only If' Condition

For the 'only if' condition, assume the graph is orientable. This means we can assign a direction to each edge such that every vertex can be reached from any other vertex. If any edge is not part of a cycle, orienting would create an endpoint vertex where paths can end without returning, contradicting the property of orientation. Therefore, each edge must be part of a cycle.
04

Conclusion

Both directions have been proven. If each edge is part of a cycle, the graph is orientable, and if the graph is orientable, every edge must be part of a cycle. Therefore, a connected undirected graph is orientable if and only if each edge is contained in a cycle.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with Vaia!

Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Connected Graph
In graph theory, a graph is referred to as 'connected' when there is a path between every pair of vertices in the graph. This means you can start at any vertex and reach any other vertex by following the edges.
A connected graph does not have any isolated subgraphs or splitting of pairs of vertices by removing edges.
    - **Every pair of vertices is reachable**: Any vertex can be reached from any other by tracing a path through the edges. - **Single Component**: The entire graph is included as one component with no separate parts. - **Important for Orientability**: To check if a graph is orientable, it must first be connected since directions need to allow travel between all vertices.
The concept of connectivity is a fundamental property that ensures the graph is treated as a whole unit rather than separate parts. This is essential when discussing properties like orientation and cycles.
Graph Orientation
Graph orientation involves assigning a direction to each edge of an undirected graph, converting it into a directed graph. For a graph to be orientable, this direction assignment should allow any vertex to be reached from any other vertex through directed paths.
Directing the edges so that it maintains connectivity can often be challenging. This is due to needing to ensure cycles are formed to prevent dead ends. This is particularly important in the original exercise, where cycles of edges ensure that no vertex becomes an endpoint.
    - **Direction Assignment**: Each edge receives a direction. Usually represented with an arrow. - **Preserving Reachability**: Any vertex can be reached from another in the directed setup, theoretically maintaining connectivity. - **Use in Algorithms**: Graph orientation helps in defining clients of network flows or road networks, directing routes efficiently.
The ability to orient a graph not only defines directional paths but also implies having structural assurance that no part of the graph becomes redundant.
Graph Cycle
A cycle in a graph is a path that starts and ends at the same vertex, with all edges and vertices being distinct except for the starting and ending vertex. In the context of the exercise, the presence of cycles in a graph impacts its orientability.
Cycles ensure that directionality in graph orientation can be achieved without leaving vertices unreachable. It prevents the formation of dead ends, a vital aspect of showing a graph can be directed.
    - **Circular Path**: Forms a complete loop returning to the starting vertex. - **Key to Orientability**: Ensures every directionally assigned edge remains part of a traversable loop. - **Prevents Disconnection**: Helps maintain the property of connectivity by preventing isolated chains of vertices.
Understanding cycles is pivotal in graph theory, especially when ensuring that each edge plays a role in the functional traversal of a graph in a given direction.

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Study anywhere. Anytime. Across all devices.

Sign-up for free