390 research outputs found

    On the trace formula for Hecke operators on congruence subgroups, II

    Full text link
    In a previous paper, we obtained a general trace formula for double coset operators acting on modular forms for congruence subgroups, expressed as a sum over conjugacy classes. Here we specialize it to the congruence subgroups Ξ“0(N)\Gamma_0(N) and Ξ“1(N)\Gamma_1(N), obtaining explicit formulas in terms of class numbers for the trace of a composition of Hecke and Atkin-Lehner operators. The formulas are among the simplest in the literature, and hold without any restriction on the index of the operators. We give two applications of the trace formula for Ξ“1(N)\Gamma_1(N): we determine explicit trace forms for Ξ“0(4)\Gamma_0(4) with Nebentypus, and we compute the limit of the trace of a fixed Hecke operator as the level NN tends to infinity

    The min-max edge q-coloring problem

    Full text link
    In this paper we introduce and study a new problem named \emph{min-max edge qq-coloring} which is motivated by applications in wireless mesh networks. The input of the problem consists of an undirected graph and an integer qq. The goal is to color the edges of the graph with as many colors as possible such that: (a) any vertex is incident to at most qq different colors, and (b) the maximum size of a color group (i.e. set of edges identically colored) is minimized. We show the following results: 1. Min-max edge qq-coloring is NP-hard, for any qβ‰₯2q \ge 2. 2. A polynomial time exact algorithm for min-max edge qq-coloring on trees. 3. Exact formulas of the optimal solution for cliques and almost tight bounds for bicliques and hypergraphs. 4. A non-trivial lower bound of the optimal solution with respect to the average degree of the graph. 5. An approximation algorithm for planar graphs.Comment: 16 pages, 5 figure

    A Parameterized Study of Maximum Generalized Pattern Matching Problems

    Full text link
    The generalized function matching (GFM) problem has been intensively studied starting with [Ehrenfeucht and Rozenberg, 1979]. Given a pattern p and a text t, the goal is to find a mapping from the letters of p to non-empty substrings of t, such that applying the mapping to p results in t. Very recently, the problem has been investigated within the framework of parameterized complexity [Fernau, Schmid, and Villanger, 2013]. In this paper we study the parameterized complexity of the optimization variant of GFM (called Max-GFM), which has been introduced in [Amir and Nor, 2007]. Here, one is allowed to replace some of the pattern letters with some special symbols "?", termed wildcards or don't cares, which can be mapped to an arbitrary substring of the text. The goal is to minimize the number of wildcards used. We give a complete classification of the parameterized complexity of Max-GFM and its variants under a wide range of parameterizations, such as, the number of occurrences of a letter in the text, the size of the text alphabet, the number of occurrences of a letter in the pattern, the size of the pattern alphabet, the maximum length of a string matched to any pattern letter, the number of wildcards and the maximum size of a string that a wildcard can be mapped to.Comment: to appear in Proc. IPEC'1
    • …
    corecore