Mathematical logic Books

Book SynopsisThis textbook covers key topics of Elementary Calculus through selected exercises, in a sequence that facilitates development of problem-solving abilities and techniques. It opens with an introduction to fundamental facts of mathematical logic, set theory, and pre-calculus, extending toward functions, limits, derivatives, and integrals. Over 300 solved problems are approached with a simple, direct style, ordered in a way that positively challenges students and helps them build self-confidence as they progress. A special final chapter adds five carefully crafted problems for a comprehensive recap of the work.The book is aimed at first-year students of fields in which calculus and its applications have a role, including Science, Technology, Engineering, Mathematics, Economics, Architecture, Management, and Applied Social Sciences, as well as students of Quantitative Methods courses. It can also serve as rich supplementary reading for self-study.Trade Review“Mastering Calculus through Practice offers a large number of challenging exercises, as well as complete solutions to these problems. … for someone who has seen the material before and is looking to strengthen (or, indeed, master) the material, working through these problems could prove beneficial.” (John Ross, MAA Reviews, June 20, 2022)Table of ContentsPreface.- Preliminaries.- Functions.- Limits.- Derivatives.- Integrals.- Brief recap.- Solutions.- Appendix A: Pyramid and inequality.- Appendix B: Sources.- Index.

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Book SynopsisThis open access book constitutes the proceedings of the 25th International Conference on Foundations of Software Science and Computational Structures, FOSSACS 2022, which was held during April 4-6, 2022, in Munich, Germany, as part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2022. The 23 regular papers presented in this volume were carefully reviewed and selected from 77 submissions. They deal with research on theories and methods to support the analysis, integration, synthesis, transformation, and verification of programs and software systems.

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Book SynopsisThis book constitutes the proceedings of the 5th International Workshop on Formal Methods Teaching, FMTea 2023, which was held in Lübeck, Germany, in March 2023.The 7 full papers presented in this volume were carefully reviewed and selected from 10 submissions. FMTea 2023 aim is to support a worldwide improvement in learning Formal Methods, mainly by teaching but also via self-learning.Table of ContentsAutomated Exercise Generation for Satisfiability Checking.- Graphical Loop Invariant Based Programming.- A Gentle Introduction to Verification of Parameterized Reactive Systems.- Model Checking Concurrent Programs for Autograding in pseuCo Book.- Teaching TLA+ to Engineers at Microsoft.- Teaching and Training in Formalisation with B.- Teaching low-code Formal Methods with Coloured Petri Nets.

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Book SynopsisFrom the ‘punctuated equilibrium' of Eldrege and Gould, through Lewontin's ‘triple helix' and the various visions and revisions of the Extended Evolutionary Synthesis (EES) of Laland and others, both data and theory have demanded an opening-up of the 1950's Evolutionary Synthesis that so firmly wedded evolutionary theory to the mathematics of gene frequency analysis. It can, however, be argued that a single deep and comprehensive mathematical theory may simply not be possible for the almost infinite varieties of evolutionary process active at and across the full range of scales of biological, social, institutional, and cultural phenomena. Indeed, the case history of 'meme theory' should have raised a red flag that narrow gene-centered models of evolutionary process may indeed have serious limitations. What is attempted here is less grand, but still broader than a gene-centered analysis. Following the instruction of Maturana and Varela that all living systems are cognitive, in a certain sense, and that living as a process is a process of cognition, the asymptotic limit theorems of information and control theories that bound all cognition provide a basis for constructing an only modestly deep but wider-ranging series of probability models that might be converted into useful statistical tools for the analysis of observational and experimental data related to evolutionary process. The line of argument in this series of interrelated essays proves to be surprisingly direct.Table of Contents1 Onthemajortransitions1.1 Introduction1.2 Symmetryandsymmetry-breaking1.3 Resources1.4 Cognitioninnonergodicsystems1.5 Theprebiotic`bigbang'1.6 Biological`recombinationtransparency'1.7 Asimpleapplication1.8 Specializationandcooperation:multipleworkspaces1.9 Discussion1. MathematicalAppendix1. References2 OntheExtendedEvolutionarySynthesis2.1 Introduction2.2 Firstnotions2.3 Thebasictheory2.4 Examples2.5 Moretheory:selectionpressureasshadowprice2.6 Extendingthemodels2.7 Discussion2.8 MathematicalAppendix2.9 References3O nregulation3.1 Introduction3.2 Theory3.3 Applications3.4 Discussion3.5 MathematicalAppendix3.6 References4 Punctuatedregulationasanevolutionarymechanism4.1 Introduction4.2 FisherZerosreconsidered4.3 ExtinctionI:Simplenoise-inducedtransitions4.4 ExtinctionII:Morecomplicatednoise-inducedtransitions4.5 ExtinctionIII:Environmentalshadowprice4.6 Discussion4.7 MathematicalAppendix4.8 References5 Institutionaldynamicsunderselectionpressureanduncertainty5.1 Introduction5.2 ARateDistortionTheoremmodelofcontrol5.3 Selectionpressuredynamics5.4 Destabilizationbydelay5.5 ExtendingtheDataRateTheorem5.6 Movingon5.7 Reconsideringcognition\textit{AnSich5.8 Changingtheviewpoint5.9 Discussion5. References6O n`Speciation':Fragmentsizeininformationsystemphasetransitions6.1 Introduction6.2`Simple'phasetransition6.3 Phasetransitionsinnetworksofinformation-exchangemodules6.4 Discussion6.5 MathematicalAppendix:`Biological'renormalizations6.6 References7 Adaptingcognitionmodelstobiomolecularcondensatedynamics7.1 Introduction7.2 Resources7.3 Cognition7.4 PhasetransitionsI:Fisherzeros7.5 Cognitive`reactionrate'7.6 PhasetransitionsII:Signaltransductionandnoise7.7 Discussion7.8 MathematicalAppendix:Groupoids7.9 References8 EvolutionaryExaptation:Sharedinterbrainactivityinsocialcommunication8.1 Introduction8.2 Correlation8.3 Cognition8.4 Dynamics8.5 Cognitionrate8.6 Anexample8.7 Cooperation:Multipleworkspaces8.8 Networktopologyisimportant8.9 Timeandresourceconstraintsareimportant8.10 Furthertheoreticaldevelopment8.11 Discussion8.12 MathematicalAppendix8.13 References9 Afterward

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Book Synopsis1 The Significance of Symbolic Logic for Scientific Education.- Introducing GitHub Classroom into a Formal Methods Module.- Teaching through Practice: Advanced Static Analysis with LiSA.- Teaching Formal Methods for 10 Years: Reflections on Theories, Tools, Materials, and Communities.- An Educational Module for Temporal Features in Alloy 6.- Checking contracts in Event-B.- Teaching with Logika: Conceiving and Constructing Correct Software.- 8 Teaching Formal Methods in Application Domains: A Case Study in Computer and Network Security.

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Book SynopsisThis text covers topics in algebraic geometry and commutative algebra with a strong perspective toward practical and computational aspects. The first four chapters form the core of the book. A comprehensive chart in the Preface illustrates a variety of ways to proceed with the material once these chapters are covered. In addition to the fundamentals of algebraic geometry—the elimination theorem, the extension theorem, the closure theorem and the Nullstellensatz—this new edition incorporates several substantial changes, all of which are listed in the Preface. The largest revision incorporates a new Chapter (ten), which presents some of the essentials of progress made over the last decades in computing Gröbner bases. The book also includes current computer algebra material in Appendix C and updated independent projects (Appendix D).The book may serve as a first or second course in undergraduate abstract algebra and with some supplementation perhaps, for beginning graduate level courses in algebraic geometry or computational algebra. Prerequisites for the reader include linear algebra and a proof-oriented course. It is assumed that the reader has access to a computer algebra system. Appendix C describes features of Maple™, Mathematica® and Sage, as well as other systems that are most relevant to the text. Pseudocode is used in the text; Appendix B carefully describes the pseudocode used.Readers who are teaching from Ideals, Varieties, and Algorithms, or are studying the book on their own, may obtain a copy of the solutions manual by sending an email to jlittle@holycross.edu.From the reviews of previous editions: “…The book gives an introduction to Buchberger’s algorithm with applications to syzygies, Hilbert polynomials, primary decompositions. There is an introduction to classical algebraic geometry with applications to the ideal membership problem, solving polynomial equations and elimination theory. …The book is well-written. …The reviewer is sure that it will be an excellent guide to introduce further undergraduates in the algorithmic aspect of commutative algebra and algebraic geometry.” —Peter Schenzel, zbMATH, 2007 “I consider the book to be wonderful. ... The exposition is very clear, there are many helpful pictures and there are a great many instructive exercises, some quite challenging ... offers the heart and soul of modern commutative and algebraic geometry.” —The American Mathematical MonthlyTrade Review“In each of the new editions the authors' were interested to incorporate new developments, simplifications of arguments as well as further applications. Thanks to the authors' this is also the case in the present fourth edition. … Thanks to the continuously updating the textbook will remain an excellent source for the computational Commutative Algebra for students as well as for researchers interested in learning the subject.” (Peter Schenzel, zbMATH 1335.13001, 2016)Table of ContentsPreface.- Notation for Sets and Functions.- 1. Geometry, Algebra, and Algorithms.- 2. Groebner Bases.- 3. Elimination Theory.- 4.The Algebra-Geometry Dictionary.- 5. Polynomial and Rational Functions on a Variety.- 6. Robotics and Automatic Geometric Theorem Proving.- 7. Invariant Theory of Finite Groups.- 8. Projective Algebraic Geometry.- 9. The Dimension of a Variety.- 10. Additional Groebner Basis Algorithms.- Appendix A. Some Concepts from Algebra.- Appendix B. Pseudocode.- Appendix C. Computer Algebra Systems.- Appendix D. Independent Projects.- References.- Index.

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Book SynopsisTable of ContentsEinleitung: Überblick über den Inhalt des zweiten Halbbandes.- III. Die logischen Grundlagen des statistischen Schließens.- 1. ,Jenseits von Popper und Carnap‘.- 1.a Programm und Abgrenzung vom Projekt einer induktiven Logik.- 1.b Die relative Häufigkeit auf lange Sicht und die Häufigkeitsdefinition der statistischen Wahrscheinlichkeit.- 1.c Der Vorschlag von Braithwaite, die statistische Wahrscheinlichkeit als theoretischen Begriff einzuführen.- 1.d Vorbereitende Betrachtungen zur Testproblematik statistischer Hypothesen.- 1.e Zusammenfassung und Ausblick.- 2. Präludium: Der intuitive Hintergrund.- 3. Die Grundaxiome. Statistische Unabhängigkeit.- 3.a Die Kolmogoroff-Axiome.- 3.b Unabhängigkeit im statistischen Sinn.- 3.c Hypothesen und Oberhypothesen.- 4. Die komparative Stützungslogik.- 4.a Vorbetrachtungen.- 4.b Einige zusätzliche Zwischenbetrachtungen.- 4.c Die Axiome der Stützungslogik.- 5. Die Likelihood-Regel.- 5.a Kombinierte statistische Aussagen.- 5.b Likelihood und Likelihood-Regel.- 6. Die Leistungsfähigkeit der Likelihood-Regel.- 6.a Die Einzelfall-Regel und ihre Begründung.- 6.b Der statistische Stützungsschluß im diskreten Fall und seine Rechtfertigung.- 6.c Übergang zum stetigen Fall.- 6.d Wahrscheinlichkeitsverteilung und Likelihoodfunktion (,Plausibilitätsverteilung‘).- 6.e Denken in Likelihoods und Bayesianismus.- 7. Vorläufiges Postludium: Ergänzende Betrachtungen zu den statistischen Grundbegriffen.- 7.a Der Begriff des statistischen Datums.- 7.b Chance und Häufigkeit auf lange Sicht.- 7.c Versuchstypen.- 8. Zufall, Grundgesamtheit und Stichprobenauswahl.- 9. Die Problematik der statistischen Testtheorie, erläutert am Beispiel zweier konkurrierender Testtheorien.- 9.a Vorbetrachtungen. Ein warnendes historisches Beispiel.- 9.b Macht und Umfang eines Tests. Die Testtheorie von Neyman-Pearson.- 9.c Die Mehrdeutigkeit der Begriffe „Annahme“ und „Verwerfung“ 159 9.d Einige kritische Bemerkungen zu den Begriffen Umfang und Macht 160 9.e Die Likelihood-Testtheorie.- 10. Probleme der Schätzungstheorie.- 10.a Vorbemerkungen.- 10.b Was ist Schätzung? Klassifikation von Schätzungen.- 10.c Einige spezielle Begriffe der statistischen Schätzungstheorie.- 10.d Die Doppeldeutigkeit von „Schätzung“ und die Mehrdeutigkeit von „Güte einer Schätzung“.- 10.e Theoretische Schätzungen und Schätzhandlungen.- 10.f Das Skalendilemma. Zwecke von Schätzungen.- 10.g Schätzungen im engeren und Schätzungen im weiteren Sinn.- 10.h Kritisches zu den Optimalitätsmerkmalen auf lange Sicht, zur Minimax-Theorie und zur Intervallschätzung.- 10.i Ein Präzisierungsversuch des Begriffes der besser gestützten Schätzung.- 10.j Ist die Schätzungstheorie von Savage das Analogon zur Testtheorie von Neyman-Pearson?.- 11. Kritische Betrachtungen zur Likelihood-Stützungs-und-Testtheorie.- 11.a Ist der Likelihood-Test schlechter als nutzlos ?.- 11.b Das Karten-Paradoxon von Kerridge.- 11.c Die logische Struktur des Stützungsbegriffs.- 12. Subjektivismus oder Objektivismus ?.- 12.a Die subjektivistische (personalistische) Kritik: de Finetti und Savage kontra Objektivismus.- 12.b Die Propensity-Interpretation der statistischen Wahrscheinlichkeit: Popper, Giere und Suppes.- 13. Versuch einer Skizze der logischen Struktur des Fiduzial-Argumentes von R. A. Fisher.- Bibliographie.- IV. ,Statistisches Schließen — Statistische Begründung — Statistische Analyse‘statt,Statistische Erklärung‘.- 1. Elf Paradoxien und Dilemmas.- (I) Die Paradoxie der Erklärung des Unwahrscheinlichen.- (II) Das Paradoxon der irrelevanten Gesetzesspezialisierung.- (III) Das Informationsdilemma.- (IV) Das Erklärungs-Bestätigungs-Dilemma.- (V) Das Paradoxon der reinen ex post facto Kausalerklärung.- (VI) Das Verzahnungsparadoxon.- (VII) Das Erklärungs-Begründungs-Dilemma.- (VIII) Das Dilemma der nomologischen Implikation.- (IX) Das ,Weltanschauungsdilemma‘.- (X) Das Argumentationsdilemma.- (XI) Das Gesetzesparadoxon.- 2. Diskussion.- 2.a Problemreduktionen.- 2.b Das Problem der nomologischen Implikation. Statistisches Schließen und statistische Begründungen.- 2.c Verzahnungen von Erklärungs- und Bestätigungsproblemen.- 2.d Die Leibniz-Bedingung. Unbehebbare intuitive Konflikte.- 3. Statistische Begründungen statt statistische Erklärungen. Der statistische Begründungsbegriff als Explikat der Einzelfall-Regel.- 4. Statistische Analysen.- 4.a Kausale Relevanz und Abschirmung.- 4.b Statistische Oberflächenanalyse und statistisch-kausale Tiefenanalyse von Minimalform.- 4.c Statistische Analyse und statistisches Situationsverständnis.- 4.d Was könnte unter „Statistische Erklärung“ verstanden werden?.- Bibliographie.- Anhang I: Indeterminismus vom zweiten Typ.- Anhang II: Das Repräsentationstheorem von B. de Finetti.- 1. Intuitiver Zugang.- 1.a Bernoulli-Wahrscheinlichkeiten und Mischungen von Bernoulli-Wahrscheinlichkeiten.- 1.b Das Problem des Lernens aus der Erfahrung.- 1.c Die Bedeutung des Begriffs der Vertauschbarkeit.- 2. Formale Skizze. Übergang zum kontinuierlichen Fall.- 2.a Vertauschbarkeit und Symmetrie.- 2.b Mischungen und Lernen aus der Erfahrung: Der Riemannsche Fall..- 2.c Mischungen im abstrakten maßtheoretischen Fall. Das Repräsentationstheorem.- 2.d Diskussion.- Bibliographie.- Anhang III: Metrisierung qualitativer Wahrscheinlichkeitsfelder.- 1. Axiomatische Theorien der Metrisierung. Extensive Größen.- 2. Metrisierung von Wahrscheinlichkeitsfeldern.- 2.a Metrisierung klassischer absoluter Wahrscheinlichkeitsfelder im endlichen und abzählbaren Fall.- 2.b Metrisierung quantenmechanischer Wahrscheinlichkeitsfelder.- 2.c Metrisierung qualitativer bedingter Wahrscheinlichkeitsfelder.- Bibliographie.- Autorenregister.- Verzeichnis der Symbole und Abkürzungen.

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Book Synopsis-Preface.-1. The How, When, and Why of Mathematics.- 2. Logically Speaking.- 3.Introducing the Contrapositive and Converse.- 4. Set Notation and Quantifiers.- 5. Proof Techniques.- 6. Sets.- 7. Operations on Sets.- 8. More on Operations on Sets.- 9. The Power Set and the Cartesian Product.- 10. Relations.- 11. Partitions.- 12. Order in the Reals.- 13. Consequences of the Completeness of (Bbb R).- 14. Functions, Domain, and Range.-15. Functions, One-to-One, and Onto.- 16. Inverses.- 17. Images and Inverse Images.- 18. Mathematical Induction.- 19. Sequences.- 20. Convergence of Sequences of Real Numbers.- 21. Equivalent Sets.- 22. Finite Sets and an Infinite Set.- 23. Countable and Uncountable Sets.- 24. The Cantor-Schröder-Bernstein Theorem.- 25. Metric Spaces.- 26. Getting to Know Open and Closed Sets.- 27. Modular Arithmetic.- 28. Fermat's Little Theorem.- 29. Projects.- Appendix.- References.- Index.Trade ReviewFrom the reviews of the second edition:“The book is written in an informal way, which could please the beginners and not offend the more experienced reader. A reader can find a lot of problems for independent study as well as a lot of illustrations encouraging him/her to draw pictures as an important part of the process of mathematical thinking.”—European Mathematical Society, September 2011"Several areas like sets, functions, sequences and convergence are dealt with and several exercises and projects are provided for deepening the understanding. …It is the impression of the author of this review that the book can be particularly strongly recommended for teacher students to enable them to catch and transfer the “essence” of mathematical thinking to their pupils. But also everybody else interested in mathematics will enjoy this very well written book.—Burkhard Alpers (Aalen), zbMATH“The book is primarily concerned with an exposition of those parts of mathematics in which students need a more thorough grounding before they can work successfully in upper-division undergraduate courses. … a mathematically-conventional but pedagogically-innovative take on transition courses.” —Allen Stenger, The Mathematical Association of America, September, 2011Table of Contents-Preface. -1. The How, When, and Why of Mathematics.- 2. Logically Speaking.- 3.Introducing the Contrapositive and Converse.- 4. Set Notation and Quantifiers.- 5. Proof Techniques.- 6. Sets.- 7. Operations on Sets.- 8. More on Operations on Sets.- 9. The Power Set and the Cartesian Product.- 10. Relations.- 11. Partitions.- 12. Order in the Reals.- 13. Consequences of the Completeness of (\Bbb R).- 14. Functions, Domain, and Range.- 15. Functions, One-to-One, and Onto.- 16. Inverses.- 17. Images and Inverse Images.- 18. Mathematical Induction.- 19. Sequences.- 20. Convergence of Sequences of Real Numbers.- 21. Equivalent Sets.- 22. Finite Sets and an Infinite Set.- 23. Countable and Uncountable Sets.- 24. The Cantor-Schröder-Bernstein Theorem.- 25. Metric Spaces.- 26. Getting to Know Open and Closed Sets.- 27. Modular Arithmetic.- 28. Fermat’s Little Theorem.- 29. Projects.- Appendix.- References.- Index.

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Book SynopsisThe Discrete.- Integers.- Natural Numbers and Induction.- Some Points of Logic.- Recursion.- Underlying Notions in Set Theory.- Equivalence Relations and Modular Arithmetic.- Arithmetic in Base Ten.- The Continuous.- Real Numbers.- Embedding Z in R.- Limits and Other Consequences of Completeness.- Rational and Irrational Numbers.- Decimal Expansions.- Cardinality.- Final Remarks.- Further Topics.- Continuity and Uniform Continuity.- Public-Key Cryptography.- Complex Numbers.- Groups and Graphs.- Generating Functions.- Cardinal Number and Ordinal Number.- Remarks on Euclidean Geometry.Trade ReviewFrom the reviews:"The Art of Proof is a surprising union of rigor with taste and wit. The authors take a hard-core axiomatic approach, but the writing is never dry. Instead, topics are carefully chosen and meticulously developed with grace and humor, careful attention to detail, and just the right number of skill-building exercises and thought-provoking problems."The text is spare—well under two hundred pages—but contains a thorough axiomatic development of the integers and the reals, along with non-standard optional topics such as Cayley graphs and generating functions. Instead of the standard scattershot "symbolic logic-set theory-functions-proof by contradiction-zzzz..." books, this text keeps its focus on just a few fundamental ideas, of which induction is the most important. This helps my students to feel that they are participants in a grand undertaking—the construction of a number system—rather than passive victims of one proof technique after another." —Paul Zeitz (Mathematics Professor at the University of San Francisco)“This qualitative transition presents a most acute pedagogical challenge. … This book does feature definite mathematical content, contrasting with works that aim at decoupling purely logical apparatus from strictly mathematical concerns. … The authors write with the authority of research mathematicians and clearly mean to open that avenue to students. Summing Up: Recommended. Upper-division undergraduates through professionals.” (D. V. Feldman, Choice, Vol. 48 (8), April, 2011)“This book offers an approach well-balanced between rigor and clarifying simplification. Dilbert and Foxtrot cartoons with philosophical quotes presage the introduction of axioms and preliminary propositions. This graceful and witty blend succeeds well in a textbook for a post-calculus course transitioning a student to higher mathematics. The Art of Proof can also well serve independent readers looking for a solitary path to a vista on higher mathematics.” (Tom Schulte, The Mathematical Association of America, November, 2010)“This is an undergraduate text to extend, in a deeper and formal way, the usual initial knowledge of mathematics. The book deals with classical topics like integers, induction, algorithms, real numbers, rational numbers, modular arithmetic, limits, uncountable sets … . The publication may be useful for people using the book to teach a course on the above mentioned topics. … The aim behind this textbook is teaching how to read and write mathematics as well as understanding key methods and concepts.” (Claudi Alsina, Zentralblatt MATH, Vol. 1198, 2010)Table of ContentsPreface.- Notes for the Student.- Notes for Instructors.- Part I: The Discrete.- 1 Integers.- 2 Natural Numbers and Induction.- 3 Some Points of Logic.- 4 Recursion.- 5 Underlying Notions in Set Theory.- 6 Equivalence Relations and Modular Arithmetic.- 7 Arithmetic in Base Ten.- Part II: The Continuous.- 8 Real Numbers.- 9 Embedding Z in R.- 10. Limits and Other Consequences of Completeness.- 11 Rational and Irrational Numbers.- 12 Decimal Expansions.- 13 Cardinality.- 14 Final Remarks.- Further Topics.- A Continuity and Uniform Continuity.- B Public-Key Cryptography.- C Complex Numbers.- D Groups and Graphs.- E Generating Functions.- F Cardinal Number and Ordinal Number.- G Remarks on Euclidean Geometry.- List of Symbols.- Index.

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