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The Fiedler vector is defined as the eigenvector corresponding to the second smallest eigenvalue of a Laplacian matrix. However, what if the second smallest eigenvalue is degenerate (for example, the second and third smallest eigenvalues are equal)? Which of the two eigenvectors corresponds to the Fiedler vector?

For example, consider the graph:

Graph where spectrum of Laplacian is degeneracy for second smallest eigenvalue

This graph has spectrum:

[-2.22044605e-16, 2.77930869e-01, 2.77930869e-01, 1.12993595e+00, 1.12993595e+00,  1.33333333e+00,  1.59213318e+00,  1.59213318e+00, 1.66666667e+00]

Thus, one can see that the second smallest value is degenerate, while the graph is connected.

Zonova
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1 Answers1

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This means you have more than 1 solution to whatever you want the Fiedler vector to do for you.

If this is about a partition of the graph (as per en.wikipedia.org/wiki/Algebraic_connectivity), having a degenerate eigenvalue, means that you have more than $1$ 'Fiedler' partition (in your example apparently following the graph's symmetries).

Of course, in such a case you can make a choice of 'the' eigenvector as a linear combination of the $2$. This should reflect different possible partitions or may reflect the need to identify the special linear combinations that make most sense in the construction...

Below $2$ examples for your graph - seems to me that you can choose $4$ vertices positive (or $1$ of those $0$)

case 1

case 2

Jfyi: Mathematica changed the numbering of the vertices

numbering

Michael T
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