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The Complexity of Induced Tree Reconfiguration Problems

机译:诱导树重新配置问题的复杂性

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A reconfiguration problem asks when we are given two feasible solutions A and B, whether there exists a reconfiguration sequence (A_0 = A, A_1,..., A_l = B) such that (i) A_0,...,A_l are feasible solutions and (ii) we can obtain A_i from A_(i-1) under the prescribed rule (the reconfiguration rule) for each i = 1,..., l. In this paper, we address the reconfiguration problem for induced trees, where an induced tree is a connected and acyclic induced graph of an input graph. This paper treats the following two rules as the prescribed rules: TOKEN JUMPING; removing u from an induced tree and adding v to the tree, and TOKEN SLIDING; removing u from an induced tree and adding v adjacent to u to the tree, where u and v are vertices in an input graph. As the main results, we show (I) the reconfiguration problem is PSPACE-complete, (II) the reconfiguration problem is W[1]-hard when parameterized by both the size of induced trees and the length of the reconfiguration sequence, and (III) there exists an FPT algorithm when parameterized by both the size of induced trees and the maximum degree of an input graph, under each of TOKEN JUMPING and TOKEN SLIDING.
机译:重新配置问题要求我们给出两个可行的解决方案A和B,是否存在重新配置序列(A_0 = A,A_1,...,A_L = B),使得(i)a_0,...,a_l是可行的解决方案和(ii)我们可以在规定规则(重新配置规则)下从A_(I-1)获得A_I,每个i = 1,...,l。在本文中,我们解决了诱导树的重新配置问题,其中诱导树是输入图的连接和非环状诱导的图。本文将以下两条规则视为规定规则:令牌跳跃;从诱导的树上移除你并将v添加到树上,并令牌滑动;从诱导的树中移除u并将v与u相邻到树,其中u和v是输入图中的顶点。作为主要结果,我们展示(i)重新配置问题是PSPace-Complete,(ii)重新配置问题是W [1] - 当由诱导树的大小和重新配置序列的长度的参数化时,( iii)当诱导树的大小和输入图的最大程度的参数化时,存在FPT算法,在每个令牌跳跃和令牌滑动下。

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