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Inge S. Helland Epistemic Processes A Basis for Statistics and Quantum Theory Epistemic Processes Inge S. Helland Epistemic Processes A Basis for Statistics and Quantum Theory 123 IngeS.Helland DepartmentofMathematics UniversityofOslo Oslo,Norway ISBN978-3-319-95067-9 ISBN978-3-319-95068-6 (eBook) https://doi.org/10.1007/978-3-319-95068-6 LibraryofCongressControlNumber:2018950424 ©Springer-VerlagGmbHGermany,partofSpringerNature2018 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. ThisSpringerimprintispublishedbytheregisteredcompanySpringerNatureSwitzerlandAG Theregisteredcompanyaddressis:Gewerbestrasse11,6330Cham,Switzerland Preface Allhumandecisions,includingthosemadeinscientific experimentsandin obser- vational studies, are made in some context. Such contexts are being explicitly consideredin thisbook.To do so,a conceptualvariableis definedasanyvariable whichcanbedefinedbya(groupof)human(s)—forinstancescientists—inagiven setting. Such variables are classified. Sufficiency and ancillarity in a statistical model used in scientific investigations are defined conditionally in the scientists’ context. The conditionality principle, the sufficiency principle and the likelihood principle are generalized, and a rule for when one should not condition on an ancillary is motivated by examples. Model reduction is discussed in generalfrom thepointofviewthatthereexistsamathematicalgroupactingupontheparameter space of the model. It is shown that a natural extension of this whole discussion gives a conceptual fundament from which the formalism of quantum theory can be discussed. This can also be considered as an argument for an epistemological basis for quantum theory, a kind of basis that has also been advocated by part of the quantum foundation community in recent years. Born’s celebrated formula is shown to follow from a focused version of the likelihood principle together with some reasonable assumptions on rationality connected to experimental evidence. ThequestionsaroundBell’sinequalityareapproachedbyusinganepistemicpoint of view connected to each observer. The Schrödinger equation is derived from reasonable assumptions. The objective aspects of the world are identified with the ideal observational results upon which all real and imagined observers agree. Philosophicalconclusionsfrommypointofdeparturearediscussed. Thisisaverybriefsummaryofthisbook.Attheoutset,itiswrittenforseveral groups of readers: (a) physicists interested in the foundation of their science, (b) statisticians interested in the foundation of their science and its relationship to modernphysics,(c)philosophersofscience,(d)studentswithagoodbackgroundin mathematicsand(e)mathematicianswithaninterestinthefoundationofempirical science.Tohavesuchadiversityofreadersinmindisquiteachallenge.Somewill experiencepartofthetextasrathertechnical;otherswillseetheapproachasunusual comparedtothewaytheyareusedtoseetheirownsciencepresented.Iencourage the reader to start with a relatively open mind, but also criticism of my way of v vi Preface thinkingiswelcome.Thetextconcentratesonthefoundation;thereareverymany aspects of both quantum theory and statistical inference that are not covered. On the foundationallevel, I argue that there is a connectionbetween these two areas. This may be an unusual way of thinking, especially for physicists, and it implies a special interpretationofquantummechanics.Asan interpretationitis related to therecentQuantumBayesianapproach,brieflycalledQBism,butItrytoemphasize thatBayesianismisabranchofstatisticalinferencetheory,notofprobabilitytheory. Also, I will allow other approaches to statistical inference. Looking at quantum mechanics as related to statistical inference will presuppose that there are data. Thesedataareprovidedbymacroscopicmeasurementapparatuses.Intheordinary approach towards quantum mechanics, these measurement apparatuses are first discussedatalaterstage;hereIwillassumefromthebeginningthattheyarethere. Inadiscussionofabriefversionoftheaccountgiveninthisbook,theQuantum BayesianRuedigerSchackwrote:“Themaindifferencebetweenyourapproachand QBism is that your approach is phrased in terms of acquiring information about variables. QBism on the other hand is concerned with decision theory...”. I will discussmyrelationtoQBisminmoredetailbelow.Iappreciatethatdecisiontheory isimportant,buthereIprefertheQuantumDecisionTheorypromotedinaseriesof papersbyYukalovandSornette;see Sect.1.3below.Also, see myremarksto this theoryinSect.5.5,whereIjustseedecisionasaprimitiveconcept.Myclaimisthat atheoryaboutacquiringinformationaboutvariablesisimportantenoughtowarrant abook.Afterallitsaimistocoverthebasisofstatisticsasascienceandalsovery much of quantum theory as a science. Some of my more qualitative views on the processofmakingdecisionsarediscussedinChap.6. Statisticianstalkaboutdataontheonehandandparametersofstatisticalmodels ontheotherhand.Here,Iwillgeneralizetheparameterconceptinsuchawaythat the new concept also covers prediction and other statements about single units. I callthenewconcepte-variable,anabbreviationforepistemicconceptualvariable. In a quantum mechanical setting, simple e-variables will correspond to what is usually is called observables.As a statistician I want to distinguishbetween these observables and the corresponding data values that result from experiments. A statistician will call these estimates. However, in quantum theory, this distinction is not always clear. The reason from a statistical point of view is as follows: The e-variablesof elementary quantumtheory are discrete, and experiments are often veryaccurate.Thisresult,inconfidenceintervals,credibilityintervalsorprediction intervalsaroundthetruevaluethatmaydegeneratetoasinglepoint,whichactually is the true value. Thus, in such cases the distinction between estimates and true value is blurred out, and much of statistical theory becomes irrelevant. At the foundational level, I will nevertheless keep the distinction and insist that this is relatedtostatisticalinference.Assuch,itismadeinacontext,asalreadymentioned. Theobserver,andthe informationavailabletotheobserver,playsa crucialrolein quantummechanics. I acknowledge that many readers may be confused by this book, especially readerswhoknowalittle(ormore)oftheusualtreatmentofquantummechanics.I thinkthattheonlythingIcanofferthesereadersatpresentisaletterthatIwroteto Preface vii mycolleagueBarbaraHellerrecently.BarbaraisastatisticianlivinginChicago,and shehasakeeninterestinquantummechanics.Afterreadingapartofmymanuscript, shewrotetomethatshewasconfused.Hereismyanswer. DearBarbara, Iunderstandverywellyourconfusion.— What does statistics have to offer, in my opinion? It is true that statistics is being used to a large extent by experimental physicists, but I have been looking for somethingmore fundamental.Can one think of quantumtheoryand statistical inference as having partly a common basis? I think so, and I have tried to sketch such a basis in my book. The common basis is, as I see it, that of an epistemic process:aprocesstoachieveknowledge.InthesimplestcasehavingwhatIcallan e-variable(epistemicconceptualvariable)θ,askingaquestiontonature:whatisθ? Andobtainingananswerintermsofinformationaboutθ. In statistics, θ is most often a continuous parameter, and the answer can be in terms of a confidence interval or a Bayesian credibility interval. In elementary quantummechanics,θ canbediscrete,andinanidealmeasurementwecanobtain adefiniteanswer:θ =u. Furthermore,inquantumtheory,wehavewhatIcallcomplementarye-variables: thinkof spincomponentsin differentdirections.We can obtaininformationabout θa andaboutθb,butthevector(θa,θb)isinaccessible. IntheHilbertspaceformulation,ane-variableisidentifiedwithanoperator,the possiblevaluesofθ aretheeigenvaluesofthatoperatorandverymanystatevectors canbeidentifiedbytheeventsofthetypeθ =u.Ihavemadeapointofdiscussing thisidentificationfromseveralpointsofviewinmybook. Where do the probabilities in quantum theory come from? They are given by Born’sformula,aformulaforP(θb = u |θa = u )intermsofthestatevectors.I k j have a rather long derivation of Born’s formula in my book, using two premises: (1) A focused likelihood principle, which can be motivated from the likelihood principle in statistics, a basic principle which again can be derived from fairly obviousassumptions:aconditionalityprincipleandasufficiencyprinciple.(2)An assumptionofperfectrationality. Of course, this is not the full story, but it appears to me to be a very useful beginningfor understandingquantum theory from assumptions that are related to thebasicassumptionsofstatisticaltheory. I hope that this has clarified my points of view to some extent, and I sincerely hopethatitmayhavecontributedtoremovesomeofyourconfusion. * Thereadersjustinterestedinmyviewsonthefoundationofquantummechanics mayskip Chap.2, but Sect.2.3 shouldbe lookedat, and the conceptof likelihood asthejointprobability(probabilitydensity)ofthedata,seenasafunctionofthee- variable/parameter(Sect.2.1.3),shouldbeunderstood.Section3.2maybedropped viii Preface ifthegeneralizedlikelihoodprincipleofSect.3.2.4istakenforgranted.Section4.4 maybedroppedinthefirstreading.Theveryimpatientreadermaygodirectlyfrom Chap.1toSect.5.15. Aas,Norway IngeS.Helland References Bargmann,V.(1964).NoteonWigner’sTheoremonsymmetryoperations. JournalofMathemat- icalPhysics,5,862–868. Bjørnstad,J.F.(1990).Predictivelikelihood:Areview.StatisticalScience,5,242–265. Gelman,A.,&Robert,C. P.(2013).“Notonlydefendedbutalsoapplied”:Theperceivedabsurdity ofBayesianinference.TheAmericanStatistician,67,1–5. Hammond, P. J. (2011). Laboratory Games and Quantum Behavior. The Normal Form with a SeparableStateSpace.Workingpaper.DepartmentofEconomics,UniversityofWarwick. Helland,I.S.(2008).Quantummechanicsfromfocusingandsymmetry.FoundationsofPhysics, 38,818–842. Smolin,L.(2011).Arealensembleinterpretationofquantummechanics.aXiv.1104.2822[quant- ph]. Wigner,E,P.(1959).Grouptheoryanditsapplicationtothequantummechanicsofatomicspectra. NewYork:Academic. Acknowledgements I am grateful to Philip Goyal for inviting me to the workshop on Reconstructing Quantum Theory at the Perimeter Institute in 2009 on the basis of Helland (2008). GudmundHermansen has done some of the calculations in connection to Example 5.16. Also, thanks to Arne B. Sletsjøe for discussions in effect leading to Proposition4.2,to ErikAlfsen for givingme the preprintHammond(2011),to Kingsley Jones for making me aware of Wigner (1959) and of Bargmann (1964), to Joan Ennis for clarification of the meaning of the term “epistemic”, to Chris EnnisforsendingmeSmolin(2011),forrecommendingtomethebookbyAnton Zeilingerandforgeneraldiscussions,toPekkaLahtiforinformationrelatedtothe Bornrule,toDagNormannforinformationaboutpropositionallogic,toGudmund Hermansen, Celine Cunen and Emil Aas Stoltenberg for the reference to Gelman andRobert(2013),toNilsLidHjortformakingmeawareofBjørnstad(1990),to Barbara Heller for giving her first reactions to an unfinished manuscript, to Bent Selchau for readingand givingcommentsto Chap.1 and notleast for helpingme through my own epistemic processes, to Paul Busch for comments on the final manuscriptandfinallytoHaraldMartensandChrisFuchsfordiscussions.Special thanksgotoAndreiKhrennikovforthroughouttheyearsarrangingveryinteresting conferencesonquantumfoundation.BigthanksgotoSharonTubbandtherestof theFranciscoStreetgangfortheiremotionalandintellectualstimulationswhenever we meet. Finally, I want to thank my family for everything they have sacrificed whileIhavebeenseekingafoundationrelatedtomyviewsofscience. ix Contents 1 TheEpistemicViewUponScience......................................... 1 1.1 Introduction............................................................ 1 1.2 DifferentViewsontheFoundationofQuantumMechanics......... 4 1.3 TheoryofDecisions:Focusing—Context............................ 7 1.4 ThePBRTheorem.AToyModel..................................... 8 1.5 EpistemicProcesses................................................... 9 1.5.1 E-VariablesinSimpleEpistemicQuestions................ 10 1.5.2 E-VariablesinStatistics...................................... 11 1.5.3 E-VariablesinCausalInference............................. 11 1.5.4 E-VariablesinQuantumMechanics......................... 12 1.5.5 RealandIdealMeasurementsinQuantumMechanics..... 13 1.5.6 QuantumStates,TheirInterpretations,andaLink totheEnsembleInterpretation .............................. 14 1.5.7 QuantumStatesforSpin1/2Particles ...................... 16 1.5.8 InaccessibleConceptualVariables andComplementarity........................................ 17 References..................................................................... 18 2 StatisticalInference.......................................................... 21 2.1 BasicStatistics......................................................... 21 2.1.1 Probability.................................................... 21 2.1.2 StatisticalModels............................................ 24 2.1.3 InferenceforContinuousParameters ....................... 25 2.1.4 InferenceforDiscretee-Variables........................... 30 2.2 GroupActionsandModelReduction................................. 32 2.3 Interlude................................................................ 36 References..................................................................... 38 3 InferenceinanEpistemicProcess.......................................... 41 3.1 ConceptualVariablesandContexts................................... 41 3.2 Data;GeneralizedSufficiencyandAncillarity....................... 44 3.2.1 Sufficiency.................................................... 45 xi

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