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A Logspace Approximation Scheme for the Shortest Path Problem for Graphs with Bounded Independence Number

机译:带有有界独立号的图表最短路径问题的LogSpace近似方案

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How difficult is it to find a path between two vertices in finite directed graphs whose independence number is bounded by some constant k? The independence number of a graph is the largest number of vertices that can be picked such that there is no edge between any two of them. The complexity of this problem depends on the exact question we ask: Do we only wish to tell whether a path exists? Do we also wish to construct such a path? Are we required to construct the shortest path? Concerning the first question, it is known that the reachability problem is first-order definable for all k. In contrast, the corresponding reachability problems for many other types of finite graphs, including dags and trees, are not first-order definable. Concerning the second question, in this paper it is shown that not only can we construct paths in logarithmic space, but there even exists a logspace approximation scheme for this problem. It gets an additional input r>1 and outputs a path that is at most r times as long as the shortest path. In contrast, for directed graphs, undirected graphs, and dags we cannot construct paths in logarithmic space (let alone approximate the shortest one), unless complexity class collapses occur. Concerning the third question, it is shown that even telling whether the shortest path has a certain length is NL-complete and thus as difficult as for arbitrary directed graphs.
机译:它在有限的指示图中找到两个顶点之间的路径有多难,其独立性编号由某些常量k界定?图的独立号是可以挑选的最大数量的顶点,使得它们中的任何两个之间没有边缘。这个问题的复杂性取决于我们问的确切问题:我们是否只希望判断路径是否存在?我们还希望建立这样的路径吗?我们是否需要构建最短的路径?关于第一个问题,已知可达性问题是所有K的一阶可定义。相比之下,许多其他类型的有限图(包括DAG和树木)的相应可达性问题不是一流的可定义。关于第二个问题,在本文中,显示我们不仅可以构建对数空间中的路径,而且还存在用于此问题的LogSpace近似方案。它获得了一个额外的输入r> 1,并输出最多只要最短路径的路径。相反,对于指向图形,无向图形和DAG,我们无法在对数空间中构建路径(更不用说近似最短的一个),除非发生复杂性类崩溃。关于第三个问题,表明甚至讲述最短路径是否具有一定长度是NL完成的,因此难以任意定向图。

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