Question

Choose a direction for each of the edges and write down the incidence matrix $A$ for the graph sketched in Figure 8.4. Verify that its graph Laplacian $(8.62)$ equals $K=A^T A$.

   Choose a direction for each of the edges and write down the incidence matrix $A$ for the graph sketched in Figure 8.4. Verify that its graph Laplacian $(8.62)$ equals $K=A^T A$.
Applied Linear Algebra (Undergraduate Texts in Mathematics)
Applied Linear Algebra (Undergraduate Texts in Mathematics)
Peter J. Olver,… 2nd Edition
Chapter 8, Problem 37 ↓

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Assume the graph has vertices labeled as \( v_1, v_2, \ldots, v_n \) and edges labeled as \( e_1, e_2, \ldots, e_m \). For this example, let's consider a simple graph with 4 vertices and 4 edges: - Vertices: \( v_1, v_2, v_3, v_4 \) - Edges: \( e_1 = (v_1, v_2),  Show more…

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Choose a direction for each of the edges and write down the incidence matrix $A$ for the graph sketched in Figure 8.4. Verify that its graph Laplacian $(8.62)$ equals $K=A^T A$.
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Key Concepts

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Incidence Matrix
The incidence matrix is a matrix representation of a graph that describes the relationship between edges and vertices. Each row corresponds to an edge, and each column corresponds to a vertex. When a direction is assigned to each edge, entries in the matrix typically have a value of -1 for the vertex where the edge originates (tail) and +1 for the vertex where the edge terminates (head), with zeros elsewhere. This representation is fundamental in graph theory as it enables the use of linear algebra tools to analyze graph properties.
Graph Laplacian
The graph Laplacian is a matrix that plays a central role in spectral graph theory and is defined to capture the connectivity properties of the graph. It is commonly constructed as L = D - W, where D is the degree matrix and W is the adjacency matrix. Alternatively, when using an incidence matrix A, the graph Laplacian can be expressed as L = A^T A. This formulation highlights the intrinsic link between the graph’s edge structure and its Laplacian, irrespective of the arbitrary edge orientations chosen in A.
Relation between Incidence Matrix and Laplacian
The connection between the incidence matrix and the graph Laplacian is established through the product A^T A, which yields the Laplacian matrix. This relationship is significant because it shows that the Laplacian incorporates information about the incidence of edges on vertices, such as their degrees and the way vertices are interconnected. Notably, even though the incidence matrix depends on the chosen direction for each edge, the resulting Laplacian remains invariant, reflecting the underlying undirected structure of the graph.

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4. (a) (4 pts) Draw the graph represented by the adjacency matrix: A B C D E A [ 0 1 1 0 0 ] B [ 1 0 1 0 3 ] C [ 1 1 4 1 0 ] D [ 0 0 1 2 2 ] E [ 0 3 0 2 0 ] (b) (4 pts) Please label the edges for the graph obtained in part (a). Find the corresponding incidence matrix for the graph in part (a) with your labeled edges.

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