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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7
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0answers
74 views

What is the intuition behind / How can we interpret the eigenvalues and eigenvectors of Euclidean Distance Matrices ?

Given a set of points $x_1,x_2,...,x_m$ in the euclidean space $\mathbb{R}^n$, we can form a $m$ x $m$ Euclidean Distance Matrix $D$ where $D_{ij}={||x_i-x_j||}^2$. We know a little bit about these ...
5
votes
0answers
286 views

Generating a stochastic matrix with a given second dominant eigenvalue

I need a procedure (iterative or otherwise) that, given a positive integer $N$ and a (possibly complex) number $\lambda$ such that $0 < \vert \lambda \vert < 1$, will be able to generate an $N ...
4
votes
0answers
45 views

What do the eigenvalues/vectors of a metric describe?

Given a finite metric space $(X = \{ x_i \}_{i=1}^n,d)$, one can form the matrix $A$ of pairwise distances $a_{ij} = d(x_i, x_j)$. What does the eigenspectrum of this matrix say about the metric $d$? ...
4
votes
0answers
208 views

spectral radius (adjacency matrix) of a partitioned graph

Is the following bound on the largest eigenvalue of a partitioned graph known? It seems like it should be but I am not able to find a reference to it. Given a graph $G=(V,E)$ whose vertices are ...
4
votes
0answers
117 views

Constructing a directed graph from its spectrum

This is related to the following question from cs theory stack exchange: http://cstheory.stackexchange.com/questions/3742/reverse-graph-spectra-problem So it seems as if given a sequence of real ...
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 ...
3
votes
0answers
77 views

Clustering with SVD

I'm trying to do some clustering on a graph, which is represented by an adjacency matrix $B = A^2$, where $A$ is symmetric. I tried several methods like taking the eigenvectors of the Laplacian $L = ...
3
votes
0answers
101 views

Interesting Questions in Spectral Graph Theory

In the past, I have worked on few problems in Spectral graph theory and their applications to Physics. I have read parts of Fan Chung's book and Daniel Spielman lecture notes. I really enjoyed the ...
3
votes
0answers
53 views

Is the upper Cheeger Inequality tight?

The (upper) Cheeger Inequality says: Let $G$ be an unweighted, undirected, regular graph of degree $d$. Let $\lambda_2$ be the second eigenvalue of the Laplacian matrix of $G$, and let $\phi(G)$ ...
3
votes
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, ...
2
votes
0answers
27 views

Spectral radius of a time-varying matrix with strictly positive increment

Consider a time varying non-negative matrix $A(t)$ and its spectral radius $\rho(A(t))$ where $t$ denotes the time. If $A(t)$ changes over time with each time a random element in $A(t)$ is being ...
2
votes
0answers
130 views

a closed formula to enumerate the self avoiding walks of a graph

Let $G$ be a directed graph with $N$ nodes and weighted adjacency matrix $W $ defined by $$ W_{ij} = \left\{ \begin{array}{cl} w_{ij} & \text{ if } \ i \ \text{ is connected to } j \\ 0 & ...
2
votes
0answers
78 views

interpretation of generalized eigenvalue/vectors in spectral graph theory

Let us say I have a symmetric graph adjacency matrix A, a degree matrix D, a laplacian L (D-A). I have a generalized eigenvalue equation $Av=\lambda Lv$. Does the eigenvalue/vectors produced in this ...
2
votes
0answers
56 views

Possible Eigenvalues of Graph

How would one prove (or disprove) that there is no such graph $G$ with $\lambda$ as an eigenvalue? I tried setting up a system of equations to see if it's possible for $-\frac{1}{2}$ to be an ...
2
votes
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 $A(L_{sym}) = I - L_{sym}$ ...
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 ...
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 ...
2
votes
0answers
561 views

Is there any relation between the principal eigenvalue of sub matrix and the original matrix?

I am wondering whether there is any relation between principal eigenvalue of sub matrix and the original matrix. In fact I am facing a problem which is to select $n$ rows and $n$ columns from the ...
1
vote
0answers
38 views

Graph Combinatorics: How many such Graphs are there?

How many $4$-regular graphs exist on $8$ vertices? I found that such a graph can't be disconnectd since if so, then graph can be written as disjoint union of atleast two graphs. $4$ regularity ...
1
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0answers
17 views

Expected number of leaf nodes in some theoretical graph models

If a leaf node of a graph refers to a node having the degree of 1, how can one compute the expected number of leaf nodes of: (A) a random graph (e.g., Erdos-Renyi graph), (B) a small-world graph ...
1
vote
0answers
18 views

Adjacency vs Laplacian matrix

There are different ways to represent a graph but adjacency and laplacian matrices are the two most powerful ones having various properties. Recently, a student asked me when exactly we should use ...
1
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0answers
21 views

Spectral gaps of common graphs

I'm looking for the spectral gap of common graphs (alternatively, the mixing time of a (lazy) random walk on these graphs). Asymptotic values are fine. Assume that every node has a sufficient number ...
1
vote
0answers
32 views

Properties of non-negative non-symmetric square matrices

I've done some searching but couldn't get much from the web. I am looking for some pointers regarding the properties of non-negative non-symmetric square matrices. The elements within the matrix are ...
1
vote
0answers
46 views

Is there such a notion of “expansion” in groups?

Given a subset of elements of a finite group $G$, I would like it to be such that the set of all distinct words (as elements of $G$) that can be formed from this set is exponentially large in the size ...
1
vote
0answers
30 views

About the topology of a $d$-regular tree

What is the proof that the infinite $d$-regular tree is an universal covering space for any $d$-regular graph? Is it true that the infinite $d$-regular tree is a Ramanujan graph? (any easy way to see ...
1
vote
0answers
36 views

Weighted undirected graphs, complex Laplacian, complex eigenvalues & spectral clusering

I am rather puzzled and confused, I have been trying to get a clear understanding of how would spectral clustering work for an undirected weighted graph, I have used the normalized Laplacian, but I ...
1
vote
0answers
40 views

Fast Cholesky Factrorization for Tree Laplacians

Suppose $T_1$ and $T_2$ represent two Laplacian matrices of two spanning trees of $n$ vertices. Since the Cholesky factorization needs $O(n)$ time for each $T_i\ (i=1,2)$ due to the tree structure, ...
1
vote
0answers
39 views

Spectrum of an infinite graph independent of labelling

Does there exist an infinite graph whose spectrum does not depend upon the labelling of the graph? While evaluating the spectrum, I am considering adjacency matrix of the infinite graph as a bounded ...
1
vote
0answers
99 views

Does any vertex transitive graph have a bounded eigenvector?

Following up on the negative answer to this question, I would be interested in knowing the answer to the following question, which I cannot seem to find an obvious contradiction to when testing for ...
1
vote
0answers
81 views

Number of Nodes within a Given Distance from a Node

Suppose we are given a $d$-regular graph $G=(V,E)$ of order $n$. Let $\lambda_2$ be the second-largest eigenvalue of $G$'s adjacency matrix. Does this information help obtaining a lowerbound or ...
1
vote
0answers
48 views

How can I prove that a particular family of graphs is integral?

I'm working with an infinite family of graphs that seem to always have all integral eigenvalues, and I'd like to find some way to prove that (if it's true). Call the graphs $G_{n,k}$ and define them ...
1
vote
0answers
47 views

pierre simon laplace and his knowledge of the (Laplacian) matrices

so as we all know, there is a graph matrix called the Laplacian that is used in some eigenvalue/eigenvector/graph theory/spectral theory problems. i'm wondering if the name of this matrix is ...
1
vote
0answers
36 views

How to show that the spectral radius of a binary tree approaches exp(1) as the N tends to infinity?

How can I prove mathematically that the spectral radius of a binary tree approaches e as the number of nodes tends to infinity? I mean it is true that the increase in nodes number is exponential but ...
1
vote
0answers
55 views

Characterization of all matrices with unit spectral radius under constraint

Let $A \in \mathbb{R}^{n \times n}_{\geq 0}$ be a symmetric matrix with positive row sums $\mathbf{d} := A\mathbf{1} > 0$. I am interested in characterizing all those positive diagonal matrices $Z ...
1
vote
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
vote
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 ...
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 ...
1
vote
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 ...
0
votes
0answers
9 views

How to show a random matrix has large spectral gap?

If I know $Y$ is a random d-regular bipartite graph (tanner code in coding theory), can I show $Y^TY$ has large spectral gap with high probability? More specifically: If I know $Y=AX \in ...
0
votes
0answers
21 views

How to find spectral radius of ${0,1}$ and ${0,1,-1}$ matrices?

[this is kind of a continuation of this question ] It seems that the following is true, Among $n=3$ dimension symmetric matrices over $\{0,1\}$ which have $d=7$ ones the maximum spectral radius is ...
0
votes
0answers
20 views

Intuition behind spectral radius of a graph

Suppose that I have a graph G, along with its respective adjacency matrix A. The definition of how one can compute the spectral radius of this graph is not hard to grasp, but I was wondering about the ...
0
votes
0answers
22 views

Graph Centrality: spectral techniques

What is the difference between: normalizing the row of an adjacency matrix and taking the right eigenvector normalizing the row of an adjacency matrix and taking the left eigenvector ...
0
votes
0answers
24 views

What physical intuition the eigen values and eigen vectors of adjacency matrix and laplacian of a graph provide?

So I have a undirected graph and its corresponding adjacency matrix $A$ and laplacian $L = D -A$, where $D$ is a diagonal degree matrix. What physical intuition can the eigen values and eigen vectors ...
0
votes
0answers
25 views

Reference for the proof of interlacing of eigenvalues of submatrices

If one has a $n \times n$ Hermitian matrix $A$ and one removes $k$ of the rows and their corresponding columns then the eigenvalues of the remnant interlace the eigenvalues of the full matrix. Can ...
0
votes
0answers
32 views

the number of ways a planar graph can be partitioned

i have a connected planar graph to cut into k parts and want to know how many possible solutions there are. it clearly depends on the shape of the graph since nodes all in a row cannot be partitioned ...
0
votes
0answers
21 views

Extremal eigenvalues & eigenvectors of skew-adjacency matrix

I am looking for ways to obtain the extremal eigenvalues and eigenvectors of the skew-adjacency matrix of a directed graph. The graphs I am interested in are not regular (but they have a maximum ...
0
votes
0answers
14 views

Faber-Krahn inequality for domain in Z^d with nearest-neighbor connections

In $\mathbb{R}^d$ there is a theorem that if you are looking for the first Dirichlet eigenvalue $\lambda_1$ of a domain $D \subset \mathbb{R}^d$ with a given volume $V$, then $\lambda_1$ will be ...
0
votes
0answers
11 views

correlations between network parameters

I am calculating spectral densities for networks. Is there a reason why skewness and kurtosis would, in general, be correlated across many networks? That is, as a feature of networks rather than ...
0
votes
0answers
29 views

Spectral methods with linear programming

Is it possible to model and solve some fundamental spectral methods (say Singular-Value Decomposition) with (Integer?) Linear Programming? Update: say you want to do SVD. Can you model it as a ...
0
votes
0answers
18 views

Modifications to the definition of graph Laplacian?

Many people have defined various definitions for graph Laplacian. For example see here [1]. What is common between various definitions of Laplacian that makes all of them ``Laplacian"? For example ...