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Riemann-Roch for sublattices of the Root Lattice A_n, Graph Automorphisms and Counting Cycles in Graphs

Madhusudan Manjunath
Max-Planck-Institut für Informatik - D1
Promotionskolloquium
AG 1, AG 2, AG 3, AG 4, AG 5, RG1, SWS, MMCI  
AG Audience
English

Date, Time and Location

Tuesday, 20 December 2011
14:15
30 Minutes
E1 4
024
Saarbrücken

Abstract

This thesis consists of two independent parts. In the first part of the thesis, we develop a Riemann-Roch theory for sublattices of the root lattice $A_n$ extending the work of Baker and Norine ({\textit Advances in Mathematics}, 215({\textbf 2}): 766-788, 2007) and study questions that arise from this theory. Our theory is based on the study of critical points of a certain simplicial distance function on a lattice and establishes connections between the Riemann-Roch theory and the Voronoi diagrams of lattices under certain simplicial distance functions. In particular, we provide a new geometric approach for the study of the Laplacian of graphs. As a consequence, we obtain a geometric proof of the Riemann-Roch theorem for graphs and generalise the result to other sub-lattices of $A_n$. Furthermore, we use the geometric approach to study the problem of computing the rank of a divisor on a finite multigraph $G$ to obtain an algorithm that runs in polynomial time for a fixed number of vertices, in particular with running time $2^{O(n \log n)}\text{poly}(\text{size}(G))$ where $n$ is the number of vertices of $G$. Motivated by this theory, we study a dimensionality reduction approach to the graph automorphism problem and we also obtain an algorithm for the related problem of counting automorphisms of graphs that is based on exponential sums.


In the second part of the thesis, we develop an approach, based on complex-valued hash functions, to count cycles in graphs in the data streaming model. Our algorithm is based on the idea of computing instances of complex-valued random variables over the given stream and improves drastically upon the na\"ive sampling algorithm.

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Madhusudan Manjunath
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Madhusudan Manjunath, 12/16/2011 14:48 -- Created document.