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Embeddings of Planar Quasimetrics into Directed L_1 and Polylogarithmic Approximation for Directed Sparsest-Cut
Mathematics of Data & Decisions| Speaker: | Anastasios Sidiropoulos, UIC |
| Location: | zoom |
| Start time: | Tue, Feb 1 2022, 1:00PM |
Description
The multi-commodity flow-cut gap is a fundamental parameter that affects the performance of several divide \& conquer algorithms, and has been extensively studied for various classes of undirected graphs. It has been shown by [Linial, London and Rabinovich 1994] and by [Aumann and Rabani 1998] that for general n-vertex graphs it is bounded by O(log n) and the Gupta-Newman-Rabinovich-Sinclair conjecture asserts that it is O(1) for any family of graphs that excludes some fixed minor.
We
show that the multicommodity flow-cut gap on \emph{directed} planar
graphs is O(log^3 n). This is the first \emph{sub-polynomial} bound for
any family of directed graphs of super-constant treewidth. We remark
that for general directed graphs, it has been shown by [Chuzhoy and
Khanna 2009] that the gap is Omega(n^(1/7)), even for directed acyclic
graphs.
As a direct consequence of our result,
we also obtain the first polynomial-time polylogarithmic-approximation
algorithms for the Directed Non-Bipartite Sparsest-Cut, and the Directed
Multicut problems for directed planar graphs, which extends the
long-standing result for undirected planar graphs by [Rao 99] (with a
slightly weaker bound).
At the heart of our result we investigate low-distortion quasimetric embeddings into \emph{directed} $\ell_1$.
More
precisely, we construct O(log^2 n)-Lipschitz quasipartitions for the
shortest-path quasimetric spaces of planar digraphs, which generalize
the notion of Lipschitz partitions from the theory of metric embeddings.
This construction combines ideas from the theory of bi-Lipschitz
embeddings, with tools form data structures on directed planar graphs.
Joint work with Ken-ichi Kawarabayashi, to appear in FOCS 2021.
https://ucdavis.zoom.us/j/92696386057?pwd=V3hrODBH...
