11 research outputs found
Resilient degree sequences with respect to Hamilton cycles and matchings in random graphs
P\'osa's theorem states that any graph whose degree sequence satisfies for all has a Hamilton cycle.
This degree condition is best possible. We show that a similar result holds for
suitable subgraphs of random graphs, i.e. we prove a `resilience version'
of P\'osa's theorem: if and the -th vertex degree (ordered
increasingly) of is at least for all ,
then has a Hamilton cycle. This is essentially best possible and
strengthens a resilience version of Dirac's theorem obtained by Lee and
Sudakov.
Chv\'atal's theorem generalises P\'osa's theorem and characterises all degree
sequences which ensure the existence of a Hamilton cycle. We show that a
natural guess for a resilience version of Chv\'atal's theorem fails to be true.
We formulate a conjecture which would repair this guess, and show that the
corresponding degree conditions ensure the existence of a perfect matching in
any subgraph of which satisfies these conditions. This provides an
asymptotic characterisation of all degree sequences which resiliently guarantee
the existence of a perfect matching.Comment: To appear in the Electronic Journal of Combinatorics. This version
corrects a couple of typo
On resilience of connectivity in the evolution of random graphs
In this note we establish a resilience version of the classical hitting time
result of Bollob\'{a}s and Thomason regarding connectivity. A graph is said
to be -resilient with respect to a monotone increasing graph property
if for every spanning subgraph satisfying
for all ,
the graph still possesses . Let be the random
graph process, that is a process where, starting with an empty graph on
vertices , in each step an edge is chosen uniformly at
random among the missing ones and added to the graph . We show that
the random graph process is almost surely such that starting from , the largest connected component of is
-resilient with respect to connectivity. The result is
optimal in the sense that the constants in the number of edges and
in the resilience cannot be improved upon. We obtain similar results for
-connectivity.Comment: 13 pages; update after reviewers' report
Dirac's theorem for random regular graphs
We prove a `resilience' version of Dirac's theorem in the setting of random
regular graphs. More precisely, we show that, whenever is sufficiently
large compared to , a.a.s. the following holds: let be any
subgraph of the random -vertex -regular graph with minimum
degree at least . Then is Hamiltonian.
This proves a conjecture of Ben-Shimon, Krivelevich and Sudakov. Our result
is best possible: firstly, the condition that is large cannot be omitted,
and secondly, the minimum degree bound cannot be improved.Comment: Final accepted version, to appear in Combinatorics, Probability &
Computin
Local resilience of an almost spanning -cycle in random graphs
The famous P\'{o}sa-Seymour conjecture, confirmed in 1998 by Koml\'{o}s,
S\'{a}rk\"{o}zy, and Szemer\'{e}di, states that for any , every graph
on vertices with minimum degree contains the -th power of a
Hamilton cycle. We extend this result to a sparse random setting.
We show that for every there exists such that if then w.h.p. every subgraph of a random graph with
minimum degree at least , contains the -th power of a
cycle on at least vertices, improving upon the recent results of
Noever and Steger for , as well as Allen et al. for .
Our result is almost best possible in three ways: for the
random graph w.h.p. does not contain the -th power of any long
cycle; there exist subgraphs of with minimum degree and vertices not belonging to triangles; there exist
subgraphs of with minimum degree which do not
contain the -th power of a cycle on vertices.Comment: 24 pages; small updates to the paper after anonymous reviewers'
report
Dirac-type theorems in random hypergraphs
For positive integers and divisible by , let be the
minimum -degree ensuring the existence of a perfect matching in a
-uniform hypergraph. In the graph case (where ), a classical theorem of
Dirac says that . However, in general, our
understanding of the values of is still very limited, and it is an
active topic of research to determine or approximate these values. In this
paper we prove a "transference" theorem for Dirac-type results relative to
random hypergraphs. Specifically, for any and any
"not too small" , we prove that a random -uniform hypergraph with
vertices and edge probability typically has the property that every
spanning subgraph of with minimum degree at least
has a perfect matching. One interesting aspect of
our proof is a "non-constructive" application of the absorbing method, which
allows us to prove a bound in terms of without actually knowing
its value
Resilience of perfect matchings and Hamiltonicity in random graph processes
ISSN:1042-9832ISSN:1098-241