\RequirePackage{scrlfile} \makeatletter \AfterPackage{beamerbasemodes}{\beamer@amssymbfalse} \makeatother \documentclass[aspectratio=169,handout,notheorems]{beamer} \usefonttheme{professionalfonts} \usepackage{algo} \usetheme{moloch} % new metropolis % fonts \usepackage[defaultsans]{lato} \usepackage{lete-sans-math} \usepackage{soul} \usepackage[dvipsnames]{xcolor} \usepackage{booktabs} \newtheorem{theorem}{Theorem}[section] \newtheorem{lemma}{Lemma}[section] \newtheorem{corollary}{Corollary}[section] \newtheorem{conjecture}{Conjecture}[section] \newtheorem{proposition}{Proposition}[section] \newtheorem{problem}{Problem} \newcommand{\lemmaautorefname}{Lemma} \newcommand{\corollaryautorefname}{Corollary} \newcommand{\conjectureautorefname}{Conjecture} \newcommand{\propositionautorefname}{Proposition} \newcommand{\problemautorefname}{Problem} \def\etal{\emph{et~al.}} \def\R{\mathbb{R}} \def\Z{\mathbb{Z}} \def\F{\mathbb{F}} \newcommand{\e}{\varepsilon} \newcommand{\p}{\pause\medskip} \title{Connectivity Interdiction \& \\ Perturbed Graphic Matroid Cogirth} \date{\today} \author{Cong Yu} \institute{Algorithm \& Logic Group, UESTC} \begin{document} \maketitle \section{Connectivity interdiction} \begin{frame}{Connectivity interdiction} \begin{problem}[connectivity interdiction {[Zenklusen ORL'14]}] Let $G=(V,E)$ be a graph with edge weights $w:E\to\Z_+$ and edge removal costs $c:E\to\Z_+$ and let $B\in \mathbb Z_+$ be the budget. Find $F\subset E$ with $w(F)\leq B$ s.t. the min-cut in $G-F$ is minimized. \end{problem} \p \begin{problem}[$B$-free min-cut] Given the same input, define weight function for cuts \[ w'(\delta(X))=\min_{F\subset \delta(X),c(F)\leq B} w(\delta(X)-F)\] Find the cut with minimum weight $w'$. \end{problem} \end{frame} \begin{frame}{Applications} \begin{itemize} \item drag delivery interdiction \item nuclear smuggling interdiction \item hospital infection control \item ... \end{itemize} \end{frame} \begin{frame}{Previous works} \begin{table}[h] \centering \begin{tabular}{c c c c} \toprule unit cost $w(\cdot)=1$ & general case & random? & ref \\ \midrule $O(m^2n^4\log n)$ & $O(m^{2+1/\e}n^4\log n)$ & $\times$ & [Zenklusen ORL'14] \\ $O(mn^4\log^2 n)$ & $O(m^{1+1/\e}n^4\log^2 n)$ & $\checkmark$ & [Zenklusen ORL'14] \\ $\tilde O(m+n^4 B)$ & $O(\frac{m^2n^4}{\e}\log(Bnw_{\max}))$ & $\times$ & [Huang \etal{} IPCO'24]\\ $\tilde O(n^3m\log w_{\max})$ & - & $\checkmark$ & [Drange \etal{} AAAI'26]\\ $\tilde O(m^2+n^3B)$ & $\tilde O(m^2+mn^3+n^3/\e)$ & $\times$ & this work\\ $\tilde O(m+n^3B)$ & $\tilde O(mn^3+n^3/\e)$ & $\checkmark$ & this work\\ \bottomrule \end{tabular} \caption{PTASes for connectivity interdiction} \end{table} \end{frame} \begin{frame}{Method in [Huang \etal{} IPCO'24]} \begin{problem}[\emph{normalized min-cut} {[Chalermsook \etal{} ICALP'22]}] Given the same input as connectivity interdiction, find \[\argmin_{\text{cut $C$}, F\subset C} \frac{w(C-F)}{B-c(F)+1} \quad s.t. \quad 0\leq c(F)\leq B.\] \end{problem} \p First considered in [Chalermsook \etal{} ICALP'22] as a subproblem in MWU framework when solving minimum $k$-edge connected spanning subgraph (ECSS) problem. \end{frame} \begin{frame}{Method in [Huang \etal{} IPCO'24]} Let $\tau$ be a $(1+\e)$-approximation to the normalized min-cut and let $C^*$ be the optimal $B$-free cut. \begin{lemma} $C^*$ is a $(2+2\e)$-approximate min-cut in $(G,w_\tau)$, where $w_\tau(e)=\min(\tau c(e),w(e))$ is the truncated edge weight. \end{lemma} \end{frame} \begin{frame}{LP method} \begin{equation*} \begin{aligned} \min& & \sum_{e} x_e w(e)& & & \\ s.t.& & \sum_{e\in T} x_e+y_e&\geq 1 & &\forall \text{spanning tree $T$}\quad \text{($x+y$ is a cut)}\\ & & \sum_{e} y_e c(e) &\leq B & &\text{(budget for $F$)}\\ & & y_e,x_e&\in\{0,1\} & &\forall e \end{aligned} \end{equation*} The integral gap is $+\infty$! \end{frame} \begin{frame}{LP method} Consider its \st{linear relaxation} Lagrangian dual. \[ LD=\max_{\lambda \geq 0} \min_{\text{cut $C$ and }F\subset C} w(C-F)-\lambda(B-c(F)) \] We are interested in $L(\lambda)=\min\limits_{\text{cut $C$ and }F\subset C} w(C)-w(F)+\lambda c(F)$. \p Let $C^*$ be the optimal $B$-free mincut and let $\lambda^*$ be the optimal solution to $LD$. \begin{lemma}% \[ L(\lambda^*) \leq w_{\lambda^*}(C^*)<2L(\lambda^*)\] \end{lemma} \end{frame} \section{Cogirth of perturbed graphic matroids} \begin{frame}{Matroid} A matroid $M=(E,\mathcal B)$ is a structure on set $E$. $\mathcal B$ is the collection of ``bases'' with the following properties: \begin{itemize} \item $\mathcal B\neq \emptyset$; \item If $A$ and $B$ are distinct members of $\mathcal B$ and $a\in A-B$, then there exists $b\in B-A$ such that $A-a+b\in \mathcal B$. \end{itemize} \p $X\subset E$ is a cocycle if $X\cap B\neq \emptyset$ holds for all $B\in \mathcal B$. The size of minimum cocycle is the cogirth. \end{frame} \begin{frame}{Examples} \begin{itemize} \item Graphic matroids. $E$ is the edge set. $\mathcal B$ is the collection of all spanning forests. Cogirth is the size of min-cut. \item Uniform matroids. $E$ is a set. $\mathcal B$ is the collection of all subsets of $E$ with $5$ elements. Cogirth is $|E|-4$. \item Binary matroids. $E$ is a set of binary vectors. $\mathcal B$ is the collection of maximum linearly independent sets. What is the cogirth? \item ... \end{itemize} \end{frame} \begin{frame}{Computing (co)girth} \[ \small \begin{array}{ccccccc} \text{Graphic matroids} & \subset & \text{Regular matroids} & \subset & \text{MFMC matroids} & \subset & \text{Binary matroids} \\ P & & P & & P & & \textcolor{BrickRed}{\text{NP-Hard}} \end{array} \] \p \begin{conjecture}[{[Geelen \etal{} Ann. Comb. 2015]}] For any proper minor-closed class $\mathcal M$ of binary matroids, there is a polynomial time algorithm for computing the girth of matroids in $\mathcal M$. \end{conjecture} \end{frame} \begin{frame}{Perturbed graphic matroid} \begin{theorem}[{[Geelen \etal{} Ann. Comb. 2015]}] For any proper minor-closed class $\mathcal M$ of binary matroids, there exists two constants $k,t\in \Z_+$ such that, for each vertically $k$-connected matroid $M\in \mathcal M$, there exist matrices $A,P\in \F_2^{r\times n}$ such that $A$ is the incidence matrix of a graph, $\mathrm{rank}(P)\leq t$, and either $M$ or $M^*$ is isomorphic to $M(A+P)$. \end{theorem} \p \begin{theorem}[{[Geelen \& Kapadia Combinatorica'18]}] There are polynomial-time randomized algorithm for computing the girth and the cogirth of $M(A+P)$. \end{theorem} \p Is there a polynomial-time deterministic algorithm ? \end{frame} \end{document}