For questions related to the study of properties of a graph in relationship to the spectral properties of some associated matrix.

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3
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0answers
155 views

What can we say about two graphs if they have similar adjacency matrices?

Suppose we have two (finite, simple, undirected) graphs, what can we say about these graphs if they have similar adjacency matrices? Observations to begin with: If $G_1$ and $G_2$ are isomorphic, ...
1
vote
1answer
111 views

cluster validation and determining number of clusters

I want to find number of cluster in the real world data set. So, I validate the spectral clustering by using some indexes as shown in figures below? But as you seen in figures the results are very ...
0
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0answers
151 views

Variance of the first return time of a simple random walk on an hypercube graph

I am trying to solve this problem.... I have a simple random walk on a $d$-cube (finite graph). At each vertex of the graph, the particle chooses one of $d$ edges equally likely. I need to calculate ...
1
vote
1answer
120 views

What does small eigenvalue gap imply for a graph?

Knowing a graph has good expansion has well-known implications. What can we say about graphs with $1-\lambda = O(\log n/n)$, where $1-\lambda$ is the difference between the two largest eigenvalues of ...
2
votes
1answer
104 views

Connection between the Tutte and characteristic polynomials?

Both the Tutte polynomial $T_G(x,y)$ and the characteristic polynomial $\phi_G(x)$ encode a great amount of structure of the input graph $G$. I've read somewhere that the Tutte polynomial has a kind ...
1
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0answers
99 views

Algebraic characterization of being $P_n$-free.

Is there an algebraic way to determine from the adjacency matrix $A$ of a simple graph $G$, whether $G$ contains an induced path of fixed length $n$? I am particularly interested in the case $n=6$. ...
1
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2answers
87 views

Upper bound on the difference between two elements of an eigenvector

Let $W$ be the non-negative, symmetric adjacency/affinity matrix for some connected graph. If $W_{ij}$ is large, then vertex $i$ and vertex $j$ have a heavily weighted edge between them. If $W_{ij} = ...
2
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0answers
75 views

when does a graph with normalized laplacian have a uniform degree distribution?

Consider the graph $G(A)$ with A as its adjacency matrix. Let $L$ be its Laplacian and $L_{sym} = D^{\frac{1}{2}}LD^{\frac{1}{2}}$ be the normalized Laplacian. Now let $A(L_{sym}) = I - L_{sym}$ ...
0
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1answer
42 views

For which spectrum is the following result for?

I don't know if I am the only one that feels this, but damn Spectral Graph Theory needs some notation change... Maybe it is because I am not so experienced in the field yet, but man every time I read ...
2
votes
0answers
246 views

Bounds on the maximum eigenvalue of the adjacency matrix of a graph.

I managed to proof the following result for the maximum eigenvalue: $ d_{avg}\leq \lambda_{max} \leq \Delta(G) $ where $d_{avg}$ is the average degree of the graph while $\Delta(G)$ is the maximum ...
4
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1answer
115 views

What graph Laplacians commute

I know that the graph Laplacian of a fully connected graph commutes with the Laplacian of any other graph. Is there any theorem stating something similar about some more general family of graphs? ...
2
votes
1answer
136 views

Global solution for spectral clustering

I used spectral clustering for directed graphs suggested by Dengyong Zhou paper to partition the graph.I selected the eigen vectors corresponding to k largest eigen values and then I use kmeans or FCM ...
1
vote
2answers
164 views

Adjacency, Laplacian and Maximum Degree

I am relevantly new to http://math.stackexchange.com/ and this will be my first question, although I have been lurking around for some time now! So, pardon me if I am missing any posting etiquette ...
3
votes
2answers
68 views

Graphs with zero spectrum / nilpotent symmetric matrices

Is there a graph theoretic characterization of those graphs with zero spectrum? Alternatively, can one at least characterize all symmetric nilpotent (complex) matrices, so that one could recognize ...
1
vote
1answer
94 views

Prove $MM^t=A+kI$ for matrices associated to graphs

How can I prove that $MM^t=A+kI$ for incidence matrix $M$ and adjacency matrix $A$ of a $k$-regular graph with $n$ vertices? It is easy to see that $MM^t$ is an $n\times n$-matrix (like $A$), ...
1
vote
1answer
300 views

Adjacency matrix defines a distance metric

Let $A$ be adjacency matrix of a graph (perhaps weighted). Prove that \begin{equation} \sum_i \sum_j A_{ij} (f_i- f_j)^2 = \mathbf{f}^T L \mathbf{f} \end{equation} where $\mathbf{f}$ holds values of ...
0
votes
1answer
189 views

Eigenvalues of graph's laplacians

I'm trying to tackle a question from a homework assignment and one of the problems concerns the relation between eigenvalues of a graph's laplacian and its complement's laplacian. The relation is: ...
1
vote
2answers
103 views

Spectrum of a 3-regular graph

Let $D_n$ be the following graph on $2n$ vertices: $V=\mathbb{Z}_n\times\{0,1\}$ and $E=\{(i,j)(i+1,j): i\in \mathbb{Z}_n,j\in \{0,1\}\}\cup\{(i,0)(i,1):i\in\mathbb{Z}_n\}$. What is the spectrum of ...
1
vote
1answer
668 views

Spectrum of the cycle graph $C_n$

I am trying to find out the spectrum (the collection of eigenvalues) with their multiplicities of the cycle graph $C_n$. Assuming that $X=\pmatrix{x_1\\x_2\\\vdots\\x_n}$ is the eigenvector, by ...
1
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0answers
51 views

spectral graph theory with “potentials”

Let G be an undirected graph with bounded degree and n vertices. Let L[G] be the corresponding graph Laplacian, which is a symmetric $n \times n$ matrix. Let V be an $n \times n$ diagonal matrix. I am ...
30
votes
6answers
2k views

Motivation for spectral graph theory.

Why do we care about eigenvalues of graphs? Of course, any novel question in mathematics is interesting, but there is an entire discipline of mathematics devoted to studying these eigenvalues, so ...
-1
votes
1answer
129 views

Eigenvalues of a connected graph $G$ are greater than or equal to $-1$ iff $G$ is perfect?

Consider $P_G$ as the characteristic polynomial of the adjacency matrix of the connected graph $G$. It is easy to prove that $P_{K_n}(x)=(x-n+1)(x+1)^{n-1}$, so all of the eigenvalues of a perfect ...
1
vote
3answers
307 views

How to find the spectrum of the hypercube?

I want to find the proof of the spectrum of the hypercube
1
vote
0answers
185 views

Is there a simple interpretation of the eigenvectors of a graph (visualizable?)?

I want to understand eigenvectors obtain from graphs (adjacency matrices) in an analogous way as they are interpreted from principal component analysis of a set of images, which is easy:Eigenfaces ...
4
votes
1answer
371 views

Intuitive interpretation of the adjacency matrix as a linear operator.

Naturally we can describe graphs via tables of "yes there is an edge" or "no there is not" between each pair of vertices, so the definition of an adjacency matrix is easily understood. Thinking of ...
5
votes
1answer
131 views

Laplacians, Diagonal Perturbations

Setup: Consider a Laplacian (or Kirchoff) matrix $L = L^T \in \mathbb{R}^{n \times n}$ corresponding to a weighted, undirected and connected graph. That is, a matrix with $L_{ij} \leq 0$ for $i\neq j$ ...
2
votes
1answer
407 views

The number of connected components of a $k$-regular graph equals the multiplicity of k

In similar vein to this question, I am trying to understand the proof of the fact that in a $k$-regular graph, the multiplicity of the eigenvalue $k$ equals the number of connected components. The ...
3
votes
2answers
2k views

Lowest Eigenvalue of a positive semi-definite matrix

I am reading a paper on spectral graph theory. Let us say we have an adjacency matrix W and a degree matrix D. We construct a Laplacian matrix, L defined as: L = D - W The paper claims that L is ...
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1answer
157 views

Tighter bound on a spectrum of a matrix obtained by partial diagonal shift

A matrix $V\in\mathbb{R}^{n\times n}$ is a full symmetric matrix with negative off-diagonal elements summing (in absolute value) to diagonal elements. Suppose that $V$ has all entries, and let ...
1
vote
1answer
261 views

Strongly connected graph associated with a matrix

This type of matrices $L$ is called Leslie type matrices in Population dynamics: $$L = \begin{pmatrix} f_{11} & f_{12} & f_{13} & \dotsm & f_{1,i-1} & f_{1,i}& \dotsm & ...
7
votes
3answers
2k views

Eigenvalues of a bipartite graph

Let $X$ be a connected graph with maximum eigenvalue $k$. Assume that $-k$ is also an eigenvalue. I wish to prove that $X$ is bipartite. Now if $\vec{x}=(x_1,\cdots ,x_n)$ is the eigenvector for ...
2
votes
1answer
372 views

Connectedness of a regular graph and the multiplicity of its eigenvalue

Suppose $X$ is a $k$-regular graph with adjacency matrix $A$. I wish to show that if $k$ has multiplicity $1$ as an eigenvalue of $A$ then $X$ is connected. By way of contradiction I assume that X is ...
4
votes
0answers
79 views

Extension of Cheeger's inequality with distinguished vertices

The standard Cheeger's inequality for graph $G$ states that $\frac{1}{2}$ $\lambda$ < $\phi(G)$ < $\sqrt{2\lambda}$ where $\lambda$ is the second smallest eigenvalue of the normalized ...
4
votes
1answer
216 views

Questions on fractional Laplacian graph spectra

Both the signed ($D-A$) and unsigned ($D+A$) Laplacian are of interest in spectral graph theory, see eg Cvetkovic: Bibliography on the signless Laplacian eigenvalues: first one hundred references. ...
4
votes
1answer
267 views

characteristic polynomial of the adjacency matrix of a tree

I have read that if $A$ is the adjacency matrix of a tree $T$, then we have that $$\det(\lambda I - A) = \sum_{k=0}^{\lfloor n/2 \rfloor} (-1)^k N_k(T) \lambda^{n-2k} $$ where $N_k(T)$ is the number ...
2
votes
1answer
4k views

Plotting a one-sided amplitude spectrum

I have a continuous signal $x(t)$ such that $$x(t)=12\cos(6\pi t)+6\cos(24\pi t)+3\cos(30 \pi t)$$ and is asked to sketch a $1$-sided Amplitude Spectrum of the signal $x(t)$ if sampled above the ...
5
votes
2answers
436 views

A finite graph G is $d$-regular if, and only if, its adjacency matrix has the eigenvalue $λ = d$

Show that a graph $G$ finite with $n$ vertices is $d$-regular if, and only if, the vector with all the coordinates equals to 1 is eigenvetor from eigenvalue $λ = d$ from the adjacency matrix $A$ ...
10
votes
1answer
804 views

Eigenstructure of discrete Laplacian on uniform grid

The discrete Laplacian of a graph is the matrix $L = D - A$ where $D$ is a diagonal matrix with $d_{ii}$ being the degree of $v_i$, and $A$ is the usual adjacency matrix. Is there anything known ...
2
votes
0answers
52 views

Properties of a generalized graph

I'll start with formulating my problem and then ask my question: To generalize a graph $Ga = (Va,Ea)$, we partition its nodes into disjoint sets. The elements of a partitioning $V$ are subsets of ...
4
votes
1answer
268 views

Spectral graph theory and connected components of graphs

We know that multiplicity of least eigenvalue of laplacian matrix of graph gives us number of connected components in graph.What is intuition behind this theorem? How do we know that this works in ...
7
votes
3answers
1k views

Significance of eigenvalue

When I represent a graph with a matrix and calculate its eigenvalues what does it signify? I mean, what will spectral analysis of a graph tell me?
27
votes
1answer
4k views

What do the eigenvectors of an adjacency matrix tell us?

The principal eigenvector of the adjacency matrix of a graph gives us some notion of vertex centrality. What do the second, third, etc. eigenvectors tell us? Motivation: A standard information ...
11
votes
5answers
2k views

Spectrum of adjacency matrix of complete graph

Fooling around in matlab, I did an eigenvalue decomposition of the adjacency matrix of $K_5$. ...
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0answers
138 views

Spielman. Spectral Graph Theory Proposition

Spielman says in Lecture 3: Laplacians and Adjacency Matrices Fiedler’s Theorem will follow from an analysis of the eigenvalues of tri-diagonal matrices with zero row-sums. These may be viewed as ...
1
vote
1answer
190 views

Relationship Between Eigenvalue and Degree

I have a question regarding Rayleigh quotient. It's well known that maximal eigenvalue can be found by $$\lambda_{\max}(M)=\max_{x\neq 0}\frac{x^{T}Mx}{x^{T}x}.$$ Using this how to prove that ...
2
votes
0answers
76 views

algebraic connectivity of the giant component [closed]

In percolation theory there is this idea of a giant component, and I am curious what is known about its algebraic connectivity. I looked on google but I was not able to find anything particularly ...
7
votes
1answer
478 views

Spielman's proof of graph connectivity

I use Spielman's lectures on course Spectral Graph Theory I have few question regarding Lecture 2. The Laplacian, especially Lemma 2.3.1 (Graph connectivity). Please, help me to make it a little bit ...
0
votes
1answer
258 views

Proof of Algebraic connectivity

I am very curious about the proof of Algebraic connectivity Algebraic connectivity: The algebraic connectivity of a graph $G$ is the second-smallest eigenvalue of the Laplacian matrix of $G$. ...
8
votes
1answer
202 views

Two formulas for the minimal eigenvalue of a graph

Hello again everybody, I'm reading Fan Chung's monograph Spectral Graph Theory. In it, she has two formulas for the minimal eigenvalue of a graph. She doesn't explain why they're equivalent, and I'm ...
14
votes
1answer
518 views

What does the minimal eigenvalue of a graph say about the graph's connectivity?

I'm reading Fan Chung's Spectral Graph Theory, and I'm now in chapter 2. There, Chung proves Cheeger's inequality, which is that $2h_G \geq \lambda_1 > h_G^2/2$ for any graph $G$. To me, this ...