trace of adjacency matrix


What is the adjacency matrix?

The adjacency matrix can be used to determine how many walks there are between any two lattice sites. To diagram a lattice, points are drawn for the sites and lines connecting those sites. This is called a graph, and an atom can move from one point to another if a line joins the two sites. Figure 1 below shows a graph with 6 points labeled ?

How do you find the trace of a n n matrix?

Let A be an n × n matrix. The trace of A, denoted tr(A), is the sum of the diagonal elements of A. That is, This seems like a simple definition, and it really is. Just to make sure it is clear, let’s practice. A = [1 2 3 4], B = [ 1 2 0 3 8 1 ? 2 7 ? 5] and C = [1 2 3 4 5 6]. To find the trace of A, note that the diagonal elements of A are 1 and 4.

Why do mathematicians care about the trace of a matrix?

The reason for the silence in these areas is that there simply is not a relationship. We end this section by again wondering why anyone would care about the trace of matrix. One reason mathematicians are interested in it is that it can give a measurement of the “size" 3 of a matrix. A = [1 ? 2 1 1] and B = [ 6 7 11 ? 4].

What is the largest eigenvalue of the adjacency matrix?

Note that the largest eigenvalue of the adjacency matrix corresponds to the smallest eigenvalue of the Laplacian. I introduce the Perron-Frobenius theory, which basically says that the largest eigenvalue of the adjacency matrix of a connected graph has multiplicity 1 and that its corresponding eigenvector is uniform in sign.

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