7 research outputs found
On the Laplacian spectra of token graphs
We study the Laplacian spectrum of token graphs, also called
symmetric powers of graphs. The k-token graph Fk(G) of
a graph G is the graph whose vertices are the k-subsets of
vertices from G, two of which being adjacent whenever their
symmetric difference is a pair of adjacent vertices in G. In this
paper, we give a relationship between the Laplacian spectra of any two token graphs of a given graph. In particular, we show
that, for any integers h and k such that 1 ≤ h ≤ k ≤ n
2 , the
Laplacian spectrum of Fh(G) is contained in the Laplacian
spectrum of Fk(G). We also show that the doubled odd
graphs and doubled Johnson graphs can be obtained as token
graphs of the complete graph Kn and the star Sn = K1,n−1,
respectively. Besides, we obtain a relationship between the
spectra of the k-token graph of G and the k-token graph of
its complement G. This generalizes to tokens graphs a wellknown property stating that the Laplacian eigenvalues of G
are closely related to the Laplacian eigenvalues of G. Finally,
the doubled odd graphs and doubled Johnson graphs provide
two infinite families, together with some others, in which the
algebraic connectivities of the original graph and its token
graph coincide. Moreover, we conjecture that this is the case
for any graph G and its token graph.This research of C. Dalfó and M.A. Fiol has been partially supported by AGAUR from the Catalan Government under project 017SGR1087 and by MICINN from the Spanish Government under project PGC2018-095471-B-I00. The research of C. Dalfó has also been supported by MICINN from the Spanish Government under project MTM2017-83271-R. The research of C. Huemer was supported by MICINN from the Spanish Government under project PID2019-104129GB-I00/AEI/10.13039/501100011033 and AGAUR from the Catalan Government under project 017SGR1336. F.J. Zaragoza MartÃnez acknowledges the support of the National Council of Science and Technology (Conacyt) and its National System of Researchers (SNI). This research has also received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie SkÅ‚odowska-Curie grant agreement No 73492
The Effect of Induced Subgraphs on Quasi-Randomness
One of the main questions that arise when studying random and quasi-random
structures is which properties P are such that any object that satisfies P
"behaves" like a truly random one. In the context of graphs, Chung, Graham, and
Wilson call a graph p-quasi-random} if it satisfies a long list of the
properties that hold in G(n,p) with high probability, like edge distribution,
spectral gap, cut size, and more.
Our main result here is that the following holds for any fixed graph H: if
the distribution of induced copies of H in a graph G is close (in a well
defined way) to the distribution we would expect to have in G(n,p), then G is
either p-quasi-random or p'-quasi-random, where p' is the unique non-trivial
solution of a certain polynomial equation. We thus infer that having the
correct distribution of induced copies of any single graph H is enough to
guarantee that a graph has the properties of a random one. The proof techniques
we develop here, which combine probabilistic, algebraic and combinatorial
tools, may be of independent interest to the study of quasi-random structures