We study approximation algorithms, integrality gaps, and hardness of approximation, of two problems related to cycles of “small”
length
k in a given graph. The instance for these problems is a graph
G = (
V,
E) and an integer
k. The
k
-Cycle Transversal problem is to find a minimum edge subset of
E that intersects every
k-cycle. The
k
-Cycle-Free Subgraph problem is to find a maximum edge subset of
E without
k-cycles.
The 3
-Cycle Transversal problem (covering all triangles) was studied by Krivelevich [Discrete Mathematics, 1995], where an LP-based 2-approximation
algorithm was presented. The integrality gap of the underlying LP was posed as an open problem in the work of Krivelevich.
We resolve this problem by showing a sequence of graphs with integrality gap approaching 2. In addition, we show that if 3
-Cycle Transversal admits a (2 −
ε)-approximation algorithm, then so does the
Vertex-Cover problem, and thus improving the ratio 2 is unlikely. We also show that
k
-Cycle Transversal admits a (
k − 1)-approximation algorithm, which extends the result of Krivelevich from
k = 3 to any
k. Based on this, for odd
k we give an algorithm for
k
-Cycle-Free Subgraph with ratio
\frack-12k-3=\frac12+\frac14k-6\frac{k-1}{2k-3}=\frac{1}{2}+\frac{1}{4k-6}
; this improves over the trivial ratio of 1/2.
Our main result however is for the
k
-Cycle-Free Subgraph problem with even values of
k. For any
k = 2
r, we give an
W(n-\frac1r+\frac1r(2r-1)-e)\Omega\left(n^{-\frac{1}{r}+\frac{1}{r(2r-1)}-\varepsilon}\right)
-approximation scheme with running time
ε
− Ω(1/ε)
poly(
n). This improves over the ratio
Ω(
n
− 1/r
) that can be deduced from extremal graph theory. In particular, for
k = 4 the improvement is from
Ω(
n
− 1/2) to
Ω(1/
n
− 1/3 − ε
).
Similar results are shown for the problem of covering cycles of length ≤ k or finding a maximum subgraph without cycles of length ≤ k.