Graph Theory Basics
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Graph Theory Basics

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Questions and Answers

What is the main purpose of Prim's Algorithm?

  • To find the longest path in a graph
  • To find the maximum spanning tree of a graph
  • To find the shortest path between two nodes
  • To find the minimum spanning tree of a graph (correct)
  • In Prim's Algorithm, how do you choose the next node to include in the tree?

  • Choose the node with the lowest degree
  • Choose the node connected to the current node by the edge of least weight (correct)
  • Choose the node with the highest degree
  • Choose the node furthest from the current node
  • What is the main difference between Dijkstra's Algorithm and Prim's Algorithm?

  • Dijkstra's Algorithm is used for finding the shortest path, while Prim's Algorithm is used for finding the minimum spanning tree (correct)
  • Dijkstra's Algorithm is used for weighted graphs, while Prim's Algorithm is used for unweighted graphs
  • Dijkstra's Algorithm is used for finding the longest path, while Prim's Algorithm is used for finding the maximum spanning tree
  • Dijkstra's Algorithm is used for directed graphs, while Prim's Algorithm is used for undirected graphs
  • In Dijkstra's Algorithm, how do you calculate the shortest distance to the start for all nodes adjacent to the chosen node?

    <p>By adding the weight of the edge to the current node</p> Signup and view all the answers

    What is the purpose of putting a line through the row of the chosen node in Prim's Algorithm for matrices?

    <p>To delete the row of the chosen node</p> Signup and view all the answers

    What is the stopping criterion for Dijkstra's Algorithm?

    <p>When the desired end node has a shortest distance written</p> Signup and view all the answers

    What defines a 'simple' graph?

    <p>A graph with at most one edge connecting two nodes and no loops.</p> Signup and view all the answers

    Which statement about 'walks' in a graph is true?

    <p>A walk allows visiting the same vertex multiple times.</p> Signup and view all the answers

    What does the Handshaking Lemma state about a graph?

    <p>The sum of all degrees in a graph is twice the total number of edges.</p> Signup and view all the answers

    In the context of matrices, what do adjacency matrices represent?

    <p>The direct connections between nodes in the graph.</p> Signup and view all the answers

    Which property is true for the minimum spanning tree (MST) of a graph?

    <p>It is a connected graph with no cycles, hitting every node once.</p> Signup and view all the answers

    What occurs when two matrices A and B are multiplied?

    <p>Position m,n in the product matrix represents their dot product.</p> Signup and view all the answers

    How many edges does the minimum spanning tree (MST) for n nodes have?

    <p>n - 1 edges</p> Signup and view all the answers

    What does it mean if a walk is described as 'closed'?

    <p>It ends at the same node where it began.</p> Signup and view all the answers

    Study Notes

    Graphs

    • A graph is a collection of points (nodes or vertices) connected by lines (edges).
    • A simple graph has at most one edge between two nodes and no edges that loop back to the same vertex.

    Walks, Paths, and Cycles

    • A walk is a succession of connected edges of length n.
    • A path is a walk that does not visit the same node twice.
    • A cycle is a path that ends at the same node it started at.
    • A walk is closed if it ends at the same node it started at, and open otherwise.
    • Two nodes are adjacent if they are connected by a line.
    • A node and edge are incident if they touch.

    The Handshaking Lemma

    • The degree of a vertex is the number of edges that meet at that vertex.
    • The Handshaking Lemma states that the sum of all degrees in a graph is twice the total number of edges.

    Matrices

    • Graph information can be stored in a matrix, which is a grid of numbers.
    • Adjacency matrices store information about graph connections.
    • Raising an adjacency matrix to a power n gives the number of walks of length n between nodes.
    • Undirected graphs are symmetrical along their main diagonal.
    • Distance matrices record the weight of each edge between nodes.

    Matrix Multiplication

    • Matrix multiplication is not commutative (AB ≠ BA).
    • The product of two matrices at position m,n is the dot product of the mth row in A and the nth column in B.

    The Minimum Spanning Tree

    • A tree is a connected graph with no cycles that visits every node once.
    • The minimum spanning tree (MST) is the tree-shaped subgraph with the lowest total weight.
    • The MST for n nodes has n - 1 edges.
    • There are two algorithms to find the MST: Kruskal's Algorithm and Prim's Algorithm.

    Kruskal's Algorithm

    • Pick the edge of least weight in the graph.
    • Select the next edge of least weight that does not create a cycle.
    • Repeat until all nodes are included.

    Prim's Algorithm

    • Choose any node.
    • Choose the edge of least weight connected to this node.
    • Choose the next lowest weight edge connecting the tree to a new node.
    • Repeat until all nodes are included.

    Prim's Algorithm for Matrices

    • Choose any starting node.
    • Put a line through the row of the chosen node.
    • Highlight the column of the chosen node.
    • Circle the edge of least weight in the column.
    • Repeat until all rows are deleted.

    Dijkstra's Algorithm

    • Dijkstra's algorithm finds the shortest path between any two nodes.
    • Steps:
      • Begin at the starting node.
      • Calculate the shortest distance back to the start for all adjacent nodes.
      • Choose the node with the shortest distance and continue working with it.
      • Repeat until the desired end node has a shortest distance written.

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    Description

    Learn about the definitions and concepts of graphs, walks, paths, and cycles in graph theory. Understand the difference between a walk, path, and cycle.

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