Chapter 1 VISUALIZING , FINDING AND PACKING DIJOINS

We consider the problem of making a directed graph strongly connected. To achieve this, we are allowed for assorted costs to add the reverse of any arc. A successful set of arcs, called a dijoin, must intersect every directed cut. Lucchesi and Younger gave a min-max theorem for the problem of finding a minimum cost dijoin. Less understood is the extent to which dijoins pack. One difficulty is that dijoins are not as easily visualized as other combinatorial objects such as matchings, trees or flows. We give two results which act as visual certificates for dijoins. One of these, called a lobe decomposition, resembles Whitney’s ear decomposition for 2-connected graphs. The decomposition leads to a natural optimality condition for dijoins. Based on this, we give a simple description of Frank’s primal-dual algorithm to find a minimum dijoin. Our implementation is purely primal and only uses greedy tree growing procedures. It runtime is O(nm), matching the best known, due to Gabow. We then consider the function f(k) which is the maximum value such that every weighted directed graph whose minimum weight of a directed cut is at least k, admits a weighted packing of f(k) dijoins (a weighted packing means that the number dijoins containing an arc is at most its weight). We ask whether f(k) approaches infinity. It is not yet known whether f(k0) ≥ 2 for some constant k0. We consider a concept of skew submodular flow polyhedra and show that this dijoinpair question reduces to finding conditions on when their integer hulls are non-empty. We also show that for any k, there exists a half-integral dijoin packing of size k 2 .