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Dive into the research topics where Peter Hegarty is active.

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Featured researches published by Peter Hegarty.


Acta Arithmetica | 2007

Some explicit constructions of sets with more sums than differences

Peter Hegarty

We present a variety of new results on finite sets A of integers for which the sumset A+A is larger than the difference set A-A, so-called MSTD (more sums than differences) sets. First we show that there is, up to affine transformation, a unique MSTD subset of {\bf Z} of size 8. Secondly, starting from some examples of size 9, we present several new constructions of infinite families of MSTD sets. Thirdly we show that for every fixed ordered pair of non-negative integers (j,k), as n -> \infty a positive proportion of the subsets of {0,1,2,...,n} satisfy |A+A| = (2n+1) - j, |A-A| = (2n+1) - 2k.


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.


Discrete and Computational Geometry | 2015

A Quadratic Lower Bound for the Convergence Rate in the One-Dimensional Hegselmann---Krause Bounded Confidence Dynamics

Edvin Wedin; Peter Hegarty

Let


IEEE Transactions on Automatic Control | 2015

The Hegselmann-Krause Dynamics for the Continuous-Agent Model and a Regular Opinion Function Do Not Always Lead to Consensus

Edvin Wedin; Peter Hegarty


Integers | 2011

A Cauchy-Davenport type result for arbitrary regular graphs

Peter Hegarty

f_{k}(n)


Journal of Difference Equations and Applications | 2016

The Hegselmann-Krause dynamics for equally spaced agents

Peter Hegarty; Edvin Wedin


Archiv der Mathematik | 2003

On a conjecture of Zimmerman about group automorphisms

Peter Hegarty

fk(n) be the maximum number of time steps taken to reach equilibrium by a system of


arXiv: Group Theory | 2009

Finite Groups with an Automorphism Cubing a Large Fraction of Elements

Peter Hegarty


Journal of Difference Equations and Applications | 2016

The Hegselmann-Krause dynamics on the circle converge

Peter Hegarty; Anders Martinsson; Edvin Wedin

n


Combinatorics, Probability & Computing | 2014

On the Diameters of Commuting Graphs Arising from Random Skew-Symmetric Matrices

Peter Hegarty; Dmitrii Zhelezov

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Anders Martinsson

Chalmers University of Technology

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Edvin Wedin

University of Gothenburg

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Dmitrii Zhelezov

Chalmers University of Technology

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Urban Larsson

Chalmers University of Technology

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Aviezri S. Fraenkel

Weizmann Institute of Science

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Peter Dukes

University of Victoria

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