- Laplacian matrix
In the mathematical field of
graph theory the Laplacian matrix, sometimes called admittance matrix or Kirchhoff matrix, is a matrix representation of a graph. Together withKirchhoff's theorem it can be used to calculate the number of spanning trees for a given graph. The Laplacian matrix can be used to find many others properties of the graph, seespectral graph theory .Definition
Given a graph "G" with "n" vertices (without loops or multiple edges), its Laplacian matrix is defined as [Weisstein, Eric W. " [http://mathworld.wolfram.com/LaplacianMatrix.html Laplacian Matrix] ." From MathWorld—A Wolfram Web Resource.]
:
That is, it is the difference of the
degree matrix and theadjacency matrix of the graph.In the case of directed graphs, either the indegree or the outdegree might be used, depending on the application.The normalized laplacian matrix is defined as [Weisstein, Eric W. " [http://mathworld.wolfram.com/LaplacianMatrix.html Laplacian Matrix] ." From MathWorld—A Wolfram Web Resource.]
:
Example
Here is a simple example of a labeled graph and its Laplacian matrix.
Properties
For a graph "G" and its Laplacian matrix "L" with
eigenvalues :* "L" is always positive-semidefinite ().
* The number of times 0 appears as an eigenvalue in the Laplacian is the number of connected components in the graph.
* is always 0.
* is called thealgebraic connectivity .
* The smallest non-trivial eigenvalue of "L" is called the spectral gap orFiedler value .Deformed Laplacian
The deformed Laplacian is commonly defined as
:
where "I" is the unit matrix, "A" is the adjacency matrix, and "D" is the degree matrix, and "s" is a (complex-valued) number. Note that normal Laplacian is just .
As an operator
The Laplacian matrix can be generalized to the case of graphs with an infinite number of vertices and edges; this generalization is known as the
discrete Laplace operator .ee also
*
Kirchhoff's theorem References
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