04143nam a22005415i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118050001200153050001900165072001600184072001600200072002300216072001600239100008700255245013500342250001800477264006900495300003500564336002600599337002600625338003600651347002400687490007700711505023000788520202601018650002003044650002503064650002503089650001703114650002703131650002303158650004403181650002603225650002503251650003303276650001403309650002303323710003403346773002603380776003603406776003603442830007703478856004603555978-3-031-77772-1DE-He21320251030114623.0cr nn 008mamaa241218s2024    sz |    s    |||| 0|eng d  a97830317777217 a10.1007/978-3-031-77772-12doi 4aQH323.5 4aQH324.2-324.25 7aPBW2bicssc 7aPSA2bicssc 7aMAT0030002bisacsh 7aPSAX2thema1 aRoquejoffre, Jean-Michel.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut14aThe Dynamics of Front Propagation in Nonlocal Reaction–Diffusion Equationsh[electronic resource] /cby Jean-Michel Roquejoffre.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aXIII, 200 p.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aLecture Notes on Mathematical Modelling in the Life Sciences,x2193-47970 a- 1. Introduction -- 2. Cauchy Problem, Steady States, and Diffusive Behaviour -- 3. Travelling Waves -- 4. Sharp Fisher-KPP Spreading -- 5. Sharp ZFK Spreading -- 6. Spreading in Several Space Dimensions -- 7. Final Remarks.  aThe book provides a self-contained and complete description of the long time evolution of the solutions to a class of one-dimensional reaction–diffusion equations, in which the diffusion is given by an integral operator. The underlying motivation is the mathematical analysis of models for biological invasions. The model under study, while simple looking, is of current use in real-life situations. Interestingly, it arises in totally different contexts, such as the study of branching random walks in probability theory. While the model has attracted a lot of attention, and while many partial results about the time-asymptotic behaviour of its solutions have been proved over the last decades, some basic questions on the sharp asymptotics have remained unanswered. One ambition of this monograph is to close these gaps. In some of the situations that we envisage, the level sets organise themselves into an invasion front that is asymptotically linear in time, up to a correction that converges exponentially in time to a constant. In other situations that constitute the main and newest part of the work, the correction is asymptotically logarithmic in time. Despite these apparently different behaviours, there is an underlying common way of thinking that is underlined. At the end of each chapter, a long set of problems is proposed, many of them rather elaborate and suitable for master's projects or even the first question in a PhD thesis. Open questions are also discussed. The ideas presented in the book apply to more elaborate systems modelling biological invasions or the spatial propagation of epidemics. The models themselves may be multidimensional, but they all have in common a mechanism imposing the propagation in a given direction; examples are presented in the problems that conclude each chapter. These ideas should also be useful in the treatment of further models that we are not able to envisage for the time being. The book is suitable for graduate or PhD students as well as researchers. . 0aBiomathematics. 0aEvolution (Biology). 0aPopulation genetics. 0aMathematics. 0aMathematical analysis. 0aDynamical systems.14aMathematical and Computational Biology.24aEvolutionary Biology.24aPopulation Genetics.24aApplications of Mathematics.24aAnalysis.24aDynamical Systems.2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303177771408iPrinted edition:z9783031777738 0aLecture Notes on Mathematical Modelling in the Life Sciences,x2193-479740uhttps://doi.org/10.1007/978-3-031-77772-1