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Featured researches published by Anders Martinsson.


Annals of Applied Probability | 2014

On the existence of accessible paths in various models of fitness landscapes

Peter Hegarty; Anders Martinsson

We present rigorous mathematical analyses of a number of well-known mathematical models for genetic mutations. In these models, the genome is represented by a vertex of the n-dimensional binary hypercube, for some n, a mutation involves the flipping of a single bit, and each vertex is assigned a real number, called its fitness, according to some rules. Our main concernis with the issue of existence of (selectively) accessible paths; that is, monotonic paths in the hypercube along which fitness is always increasing. Our main results resolve open questions about three such models, which in the biophysics literature are known as house of cards (HoC), constrained house of cards (CHoC) and rough Mount Fuji (RMF). We prove that the probability of there being at least one accessible path from the all-zeroes node v^0 to the all-ones node v^1 tends respectively to 0, 1 and 1, as n tends to infinity. A crucial idea is the introduction of a generalization of the CHoC model, in which the fitness of v^0 is set to some α = α_n ∈ [0, 1]. We prove that there is a very sharp threshold at α_n = (ln n)/n for the existence of accessible paths from v^0 to v^1 . As a corollary we prove significant concentration, for α below the threshold, of the number of accessible paths about the expected value (the precise statement is technical; see Corollary 1.4). In the case of RMF, we prove that the probability of accessible paths from v^0 to v^1 existing tends to 1 provided the drift parameter θ = θ_n satisfies n(θ_n) → ∞, and for any fitness distribution which is continuous on its support and whose support is connected.


Journal of Difference Equations and Applications | 2016

An improved energy argument for the Hegselmann–Krause model

Anders Martinsson

We show that the freezing time of the d-dimensional Hegselmann–Krause model is where n is the number of agents. This improves the best known upper bound whenever .


Journal of Difference Equations and Applications | 2016

The Hegselmann-Krause dynamics on the circle converge

Peter Hegarty; Anders Martinsson; Edvin Wedin

We consider the Hegselmann-Krause dynamics on a one-dimensional torus and provide the first proof of convergence of this system. The proof requires only fairly minor modifications of existing methods for proving convergence in Euclidean space.


arXiv: Discrete Mathematics | 2018

Even Flying Cops Should Think Ahead

Anders Martinsson; Florian Meier; Patrick Schnider; Angelika Steger

We study the entanglement game, which is a version of cops and robbers, on sparse graphs. While the minimum degree of a graph G is a lower bound for the number of cops needed to catch a robber in G, we show that the required number of cops can be much larger, even for graphs with small maximum degree. In particular, we show that there are 3-regular graphs where a linear number of cops are needed.


international conference of distributed computing and networking | 2016

When can multi-agent rendezvous be executed in time linear in the diameter of a plane configuration?

Peter Hegarty; Anders Martinsson; Dmitrii Zhelezov

In multi-agent rendezvous it is naturally assumed that agents have a maximum speed of movement. In the absence of any distributed control issues, this imposes a lower bound on the time to rendezvous, for idealised point agents, proportional to the diameter of a configuration. Assuming bounded visibility, we consider Ω(n2 log n) points distributed independently and uniformly at random in a disc of radius n, so that the visibility graph is asymptotically almost surely (a.a.s.) connected. We allow three types of possible interaction between neighbors, which we term signalling, sweeping and tracking. Assuming any such interaction can be executed without significant delay, and assuming each point can generate random bits and has unlimited memory, we describe a randomized algorithm which a.a.s. runs in time O(n), hence in time proportional to the diameter, provided the number of points is o(n3). Several questions are posed for future work.


Journal of Machine Learning Research | 2013

Lovász ϑ function, SVMs and finding dense subgraphs

Vinay Jethava; Anders Martinsson; Chiranjib Bhattacharyya; Devdatt P. Dubhashi


neural information processing systems | 2012

The Lovász ϑ function, SVMs and finding large dense subgraphs

Vinay Jethava; Anders Martinsson; Chiranjib Bhattacharyya; Devdatt P. Dubhashi


arXiv: Probability | 2015

Accessibility percolation and first-passage site percolation on the unoriented binary hypercube

Anders Martinsson


arXiv: Probability | 2017

A linear threshold for uniqueness of solutions to random jigsaw puzzles.

Anders Martinsson


arXiv: Probability | 2016

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Anders Martinsson

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Peter Hegarty

Chalmers University of Technology

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Devdatt P. Dubhashi

Chalmers University of Technology

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Dmitrii Zhelezov

Chalmers University of Technology

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Edvin Wedin

University of Gothenburg

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Vinay Jethava

Chalmers University of Technology

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Timo Hirscher

Chalmers University of Technology

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