Lecture Notes on Mathematical Modelling in the Life Sciences Mimmo Iannelli · Fabio Milner The Basic Approach to Age-Structured Population Dynamics Models, Methods and Numerics Lecture Notes on Mathematical Modelling in the Life Sciences Editor-in-chief MichaelC.Mackey AngelaStevens Serieseditors MartinBurger MauriceChacron OdoDiekmann AnitaLayton JinzhiLei MarkLewis LakshminarayananMahadevan PhilipMaini MasayasuMimura ClaudiaNeuhauser HansG.Othmer MarkPeletier AlanS.Perelson CharlesS.Peskin LuigiPreziosi JonathanRubin MoisesSantillan ChristophSchütte JamesSneyd PeterSwain MartaTyran-Kamin´ska JianhongWu The rapid pace and development of the research in mathematics, biology and medicine has opened a niche for a new type of publication - short, up-to-date, readable lecture notes covering the breadth of mathematical modelling, analysis andcomputationinthelife-sciences,atahighlevel,inbothprintedandelectronic versions.Thevolumesinthisseriesarewritteninastyleaccessibletoresearchers, professionals and graduate students in the mathematical and biological sciences. Theycanserveasanintroductiontorecentandemergingsubjectareasand/orasan advancedteachingaidatcolleges,institutesanduniversities.Besidesmonographs, we envision that this series will also provide an outlet for material less formally presentedandmoreanticipatoryoffutureneeds,yetofimmediateinterestbecause of the novelty of its treatment of an application, or of the mathematics being developed in the context of exciting applications. It is important to note that the LMML focuses on books by one or more authors, not on edited volumes. The topics in LMML range from the molecular through the organismal to the population level, e.g. genes and proteins, evolution, cell biology, developmental biology, neuroscience, organ, tissue and whole body science, immunology and disease, bioengineering and biofluids, population biology and systems biology. Mathematicalmethodsincludedynamicalsystems,ergodictheory,partialdifferen- tial equations,calculus of variations,numericalanalysisand scientific computing, differentialgeometry,topology,optimalcontrol,probability,stochastics,statistical mechanics, combinatorics, algebra, number theory, etc., which contribute to a deeperunderstandingofbiomedicalproblems. Moreinformationaboutthisseriesathttp://www.springer.com/series/10049 Mimmo Iannelli (cid:129) Fabio Milner The Basic Approach to Age-Structured Population Dynamics Models, Methods and Numerics 123 MimmoIannelli FabioMilner DepartmentofMathematics SchoolofMathematicalandStatistical UniversityofTrento Sciences Trento,Italy ArizonaStateUniversity Tempe Arizona,USA ISSN2193-4789 ISSN2193-4797 (electronic) LectureNotesonMathematicalModellingintheLifeSciences ISBN978-94-024-1145-4 ISBN978-94-024-1146-1 (eBook) DOI10.1007/978-94-024-1146-1 LibraryofCongressControlNumber:2017945298 Mathematics Subject Classification (2010): 35A01, 35A02, 35A09, 35B05, 35B10, 35B30, 35B40, 35C05,35F61,35L04,35Q92,44A10,45D05,92D25,92D30,92D40 ©SpringerScience+BusinessMediaB.V.2017 Thisworkissubjecttocopyright.AllrightsarereservedbythePublisher,whetherthewholeorpartof thematerialisconcerned,specificallytherightsoftranslation,reprinting,reuseofillustrations,recitation, broadcasting,reproductiononmicrofilmsorinanyotherphysicalway,andtransmissionorinformation storageandretrieval,electronicadaptation,computersoftware,orbysimilarordissimilarmethodology nowknownorhereafterdeveloped. Theuseofgeneraldescriptivenames,registerednames,trademarks,servicemarks,etc.inthispublication doesnotimply,evenintheabsenceofaspecificstatement,thatsuchnamesareexemptfromtherelevant protectivelawsandregulationsandthereforefreeforgeneraluse. Thepublisher,theauthorsandtheeditorsaresafetoassumethattheadviceandinformationinthisbook arebelievedtobetrueandaccurateatthedateofpublication.Neitherthepublishernortheauthorsor theeditorsgiveawarranty,expressorimplied,withrespecttothematerialcontainedhereinorforany errorsoromissionsthatmayhavebeenmade.Thepublisherremainsneutralwithregardtojurisdictional claimsinpublishedmapsandinstitutionalaffiliations. Printedonacid-freepaper ThisSpringerimprintispublishedbySpringerNature TheregisteredcompanyisSpringerScience+BusinessMediaB.V. Theregisteredcompanyaddressis:VanGodewijckstraat30,3311GXDordrecht,TheNetherlands Preface Potendosisarebbevolentierifattoamenoditantamitologia. Masiamoconvinticheilmitoèunlinguaggio,unmezzo espressivo—cioènonqualcosadiarbitrariomaunvivaiodi simbolicuiappartiene,comeatuttiilinguaggi,unaparticolare sostanzadisignificatichenull’altropotrebberendere.1 C.Pavese,DialoghiconLeucò,1953 ParaphrasingCesare Pavese’s prefaceto his poetical approachto life mediated by Mythology,ifwecould,wewouldhaveavoidedsuchalotofMathematics,butwe knowthatnodescriptionoftherealworldcouldbepossiblewithoutthenurseryof symbols,methodsandrulesthatmakeMathematicsdifferentfromanyotherbranch ofScienceand,actuallyagatetoknowledge. Thus,thisbookiswrittenintheclassicallanguage,vocabularyandsyntaxmade ofDefinitions,Lemmas,PropositionsandTheoremsthatoftenkeeppeopledistant from a mathematical text. Nevertheless, we have tried to remain colloquial and friendly,longingtowriteatextwiththeflavorofanovel. What about the content? The theme of the novel is age structure and its role in the description of the growth and interaction of populations. The story starts at the beginning of the last century, with the work of Lotka and McKendrick, in DemographyandEpidemiology,andcontinueswiththerenewedinterestdeveloped in the 1970s when Biomathematics started to increasingly occupy the scene of mathematicalresearchandapplications.Thestructureofapopulationimmediately becomes essential for significant modeling in Population Dynamics, through its manyfacesofDemography,Ecology,Epidemiologyandcellgrowth,justtonamea few. Ourgoalwastobeasbasicandgeneralaspossibleinpresentingthebackboneof thisstorywithanunwaveringeyeonthemodels,eventhoughhaveonlydiscussed some basic prototypes—not pursuing the many variants and developments that ensue from them. Thus, after a first chapter presenting a brief excursus through 1If we could we would have avoided such a lot of mythology. But we believe that myth is a language, an expressive medium—that is not something arbitrary, but a nursery of symbols endowed,asanylanguage,withaspecialsubstanceofmeaningsthatnothingelsecouldexpress. v vi Preface empirical facts and modelingmotivations, we discuss the linear theory associated with the classical renewal equation and essentially motivated by Demography (Chaps.2–4).Thenweconsidernonlinearextensionsofthetheorywithinaframe- work that—even though not including all possible nonlinearities—encompassesa wide class of models (Chaps. 5–8). There we deal with questions about stability of equilibria and asymptotic behavior of solutions, referring to some specific and significant models in ecological contexts. Finally, Chaps. 9 and 10 are devoted to epidemics. In that context, age appears with central importance in its twofold meaning of class-age—the time elapsed since infection—and chronological age, a demographicvariable which is essential because all epidemiologicalparameters maydependonit. In presenting these topics, we tried to be precise, technically complete and coherentasfar aspossible, withoutlosing ourwayin a forestoftechnicaldetails, resortingto advancedliteraturewhenitwasnotpossibleto provemoregeneralor complex results with only the basic direct tools that we considered necessary to followournarration.Whenappropriate,tohelpthereaderavoidhavingtoreferto previouschapters in order to recall some notation, we have occasionally repeated somedefinitions. Themathematicalbackgroundneededbythereaderisbasicanalysis,advanced enoughtocoverLebesguemachineryanddealwithfunctionspaces.Weavoidedthe functionalanalyticapproachembeddedinthetheoryofabstractevolutionequations, which has gained popularity since the beginning of the story we wanted to tell and has reached a very sophisticated level, providing also a natural context for some aspects that, in fact, we gave up on treating. However, we wanted to reach peopleinterestedinmodels,bydiscussingexamplesandcasestudiesinsuchaway that the objects could keep their concrete meaning. The abstract approach, albeit powerful,maynotbeimmediateand,inanycase, inordertobeusefulitneedsto beimplementedwithsignificantexamplesthathavetobeworkedoutwiththebasic backgroundweaskofthereader...thusgoingbacktoourapproach. What did we disregard? Alas, we left behind too many important aspects. From the abstract approach mentioned above (we dedicate only a few words to it in Sect. 2.10), to the discrete theory (briefly discussed in Sect. 2.11), to the extension of the theory to size structure (nowadays considered a more natural variablefor targetingindividuals),to the extensionto interactingspeciesor multi- groupdynamics(we actually coveredthe case of the single population,extending Malthus and Verhulst models to the age-structured case), to the introduction of spatialstructure(thusconsideringreaction-diffusionequationswithagestructure). But these exclusions may be excused because our purpose was to provide an introduction(abasicapproach,indeed),afirststepinthefield,collectingclassical resultsandmakingthereaderreadyforfurtherstudy. The project of writing this book was conceived many years ago, soon after the publicationof Mimmo’smonograph“MathematicalTheoryof Age-Structured Population Dynamics” (see [18] of Chap. 2). The latter acted as lecture notes, forminganoutlineforamorecompleteandupdatedpresentation.Indeed,through Preface vii alltheseyearsthecontenthasgrownandevolvedsothatthepresentbookisnota neweditionofthepreviousone,butanewbook.Wehopethatwehavealsochanged inasimilarfashion. Acknowledgments are due to too many colleagues and friends. In practice there is no one with whom we discussed it with during the last 20 years who has not influenced this work directly or indirectly. Some parts of the manuscript have circulated among interested people and have received comments that led to improvements and new developments. We received many encouragements to complete the work from those who asked for references and information about some of the results in our exposition.Our thanksgo out to all of them. However, some special acknowledgments are due to those who have contributed through consultation,detailedcomments,orotherhelp:DimitriBreda—whoprovidedcode forsimulationofbifurcations,Jim Cushing—whosecommentshelpedusto better structure and focus some of the presentation, Piero Manfredi—who frequently shared his competence and insights in Demography and Epidemiology, Andrea Pugliese—who commented on several parts of the manuscript and participated in developingsomeofthetheoryandexamplescontainedtherein. We want to dedicate this book to our immediate families who, in some cases throughouttheirwholelives,putupwithourinnumerabledelaysandmeetings(both physical and virtual) that we thought would give us the “final push” to finish the book.Ontheupside,aclosefriendshipgrewthatwillsurvivelongafterthebookis published.Thuswe feelobligatedto acknowledgeby name,in alphabeticalorder, Daniel, Eric, Federico, Giovanni, Jacopo, Mariaconcetta, Marina, Marta, Misha, MonicaandSasha. Trento,Italy MimmoIannelli Tempe,AZ,USA FabioMilner March2017 Contents 1 WhyAgeStructure?AnIntroduction.................................... 1 1.1 HumanDemography:AClassic..................................... 2 1.1.1 DemographicAgeStructure................................. 7 1.1.2 TheDeathProcess ........................................... 9 1.1.3 Fertility....................................................... 14 1.1.4 Migration..................................................... 17 1.1.5 ModelingTrendsandHabitatChanges ..................... 20 1.1.6 TheBasicElementsofaDescription ....................... 22 1.2 Ecology............................................................... 25 1.2.1 LifeTables.................................................... 26 1.2.2 Juvenile-AdultInteraction................................... 28 1.2.3 ModelingNonlinearVitalRates............................. 31 1.3 Epidemics............................................................. 32 1.3.1 EssentialUnstructuredModeling ........................... 35 1.3.2 TheSingleEpidemicOutbreak.............................. 37 1.3.3 DiseaseEndemicity.......................................... 39 1.3.4 TheAgeoftheDisease:TheInternalClock................ 41 1.3.5 ChronologicalAge:DemographyandEpidemics.......... 43 References.................................................................... 46 2 TheBasicLinearTheory .................................................. 49 2.1 TheLotka–McKendrickEquation................................... 50 2.2 TheRenewalEquation............................................... 52 2.3 ExistenceofaSolution............................................... 55 2.4 Regularity............................................................. 59 2.5 TheAsymptoticBehavior............................................ 62 2.6 TheAgeProfile....................................................... 67 2.7 TheOpenPopulation................................................. 73 2.8 InfiniteMaximumAge............................................... 77 ix x Contents 2.9 TheLeslieMatrix .................................................... 79 2.10 Eigenvalues,EigenvectorsandtheCharacteristicEquation........ 82 2.11 CommentsandReferences........................................... 83 References.................................................................... 85 3 NumericalMethodsfortheLinearModel............................... 89 3.1 TheMethodologyofCharacteristics ................................ 90 3.2 Euler–RiemannMethods............................................. 92 3.3 ConvergenceofERMethods ........................................ 95 3.4 Higher-OrderMethods............................................... 99 3.5 UnboundedMortalityRates ......................................... 106 3.6 ApproximationofRand˛(cid:2).......................................... 110 3.7 NumericalSimulations............................................... 114 3.8 CommentsandReferences........................................... 121 References.................................................................... 122 4 TheTime-DependentCase ................................................ 123 4.1 ExtensionoftheLotka–McKendrickModel........................ 124 4.2 TheCaseofConvergingRates....................................... 126 4.3 PeriodicRates ........................................................ 131 4.4 StrongandWeakErgodicity......................................... 133 4.5 Real-LifeDataandNumericalSimulations......................... 136 4.6 CommentsandReferences........................................... 139 References.................................................................... 140 5 NonlinearModels........................................................... 141 5.1 AGeneralNonlinearModel ......................................... 142 5.2 TheSolutiontotheProblem......................................... 146 5.3 TheEquilibriaoftheModel ......................................... 150 5.4 ModelingLogisticGrowth........................................... 152 5.5 Juvenile-AdultDynamics............................................ 155 5.6 MultipleEquilibriainJuvenile-AdultDynamics................... 160 5.7 TheAlleeEffect...................................................... 162 5.8 AModelforCannibalism............................................ 165 5.9 CommentsandReferences........................................... 169 References.................................................................... 171 6 StabilityofEquilibria...................................................... 173 6.1 TheBasicParadigmofStability..................................... 174 6.2 SomeResultsontheCharacteristicEquation....................... 179 6.3 BacktotheLogisticModel.......................................... 185 6.4 Adult-JuvenileCompetition ......................................... 190 6.5 BackwardBifurcation................................................ 197 6.6 CommentsandReferences........................................... 198 References.................................................................... 199
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