Mathematical Logic II
WS 2023/24
Note: This course was held in German.
Information

This year's lectures were recorded by the Video AG. Videos are available at https://rwth.video/23wsmalo2.

The complete course materials are only available on our Moodle course page.
Schedule
Type  Date  Location  Organizer  

V4  Mon  10:30  –  12:00  1010141 (IV)  Lecture (Start 16th October)  E. Grädel 
Tue  12:30  –  14:00  2350028 (AH I)  Lecture (Start 10th October)  E. Grädel  
Ü2  Tue  14:15  –  15:45  2350028 (AH I) and online (link)  Exercise Class (Start 24th October)  S. Brinke, J. Arpasi 
Content
This course builds on the introductory lecture Mathematical Logic, which provided the basis of propositional logic, modal logic, and firstorder logic. Mathematical Logic II will make the students acquainted with more advanced methods and with some of the fundamental achievements of mathematical logic in the 20th century.
We will focus on two areas of mathematical logic, namely set theory and model theory.
Set Theory and Foundations of Mathematics
Aus dem Paradies, das Cantor uns geschaffen, soll uns niemand vertreiben können.
(David Hilbert, 1926)
Mathematics relies in a fundamental way on the notion of a set. But what are sets? A naive approach leads to paradoxes like the one, due to Russell, dealing with the set of all sets that are not elements of themselves.
We will explain in detail the axiom system ZFC (ZermeloFraenkel with Axiom of Choice) for set theory and try to understand the world of sets (Cantor's paradise) that they bring forth. This includes ordinals (how to count beyond the finite), cardinals (how to calculate with magnitudes of infinite sets), transfinite inductions, and recursion. We will discuss the importance of the Axiom of Choice and the Continuum Hypothesis.
The ultimate goal of the foundational efforts (Hilbert's program) was to put mathematics on a firm basis and to make sure that it is consistent (i.e., not contradictory). However, we will present a fundamental result, due to Gödel, that tells us that this dream will never come true: mathematics cannot be proved to be consistent, unless it is inconsistent!
Introduction to Model Theory
Model theorists are mad tailors: they are making all the possible clothes hoping to produce also something suitable for dressing.
(after Stanislav Lem)
Model Theory is the study of mathematical structures with means of logic. The main goal of this part of the course is to learn the fundamental constructions and tools used in model theory, like compactness, types, and elementary extensions. We will concentrate on two questions.

Given a firstorder theory T, how do the models of T look like?
We will show how to construct models that are especially rich, i.e., contain every configuration that is not forbidden by T. Conversely, we will find models that omit everything not explicitly demanded by T. In most of these model constructions, the compactness theorem plays a central role. 
What is the expressive power of a logic?
We will introduce logical systems beyond firstorder logic, like infinitary logic and fixed point logics, which are closely related to induction and recursion and which have applications in many areas, from set theory to computer science. To understand the power of these logics, we will study in detail the method of EhrenfeuchtFraïssé games and provide tools that make playing these games easier.
Literature
[1]  E. Börger, E. Grädel, and Y. Gurevich. The Classical Decision Problem. Springer Verlag, 1997. 
[2]  A. Blumensath. Set Theory. In Logic, Algebra and Geometry. Unpublished, 2016. 
[3]  C. Chang and J. Keisler. Model Theory. NorthHolland, 1990. 
[4]  R. Cori and D. Lascar. Logique mathématique. Masson, 1994. 
[5]  B. Cooper. Computability Theory. Chapman Hall/CRC Mathematics, 2003. 
[6]  K. Doets. Basic Model Theory. CSLI Publications, 1996. 
[7]  H. Ebbinghaus and J. Flum. Finite Model Theory. Springer, 1999. 
[8]  H. Ebbinghaus, J. Flum, and W. Thomas. Einführung in die mathematische Logik. Wissenschaftliche Buchgesellschaft, Darmstadt, 1986. 
[9]  H. Ebbinghaus. Einführung in die Mengenlehre. BI Wissenschaftsverlag, 1994. 
[10]  E. Grädel, P. G. Kolaitis, L. Libkin, M. Marx, J. Spencer, M. Y. Vardi, Y. Venema, and S.Weinstein. Finite Model Theory and Its Applications. SpringerVerlag, 2007. 
[11]  M. Fitting. Firstorder logic and automated theorem proving. Springer, 1996. 
[12]  O. Grumberg, E. Clarke, and D. Peled. Model Checking. MIT Press, 1999. 
[13]  W. Hodges. A shorter model theory. Cambridge University Press, 1997. 
[14]  R. Lassaigne and M. de Rougemont. Logique et complexité. Hermes, 1996. 
[15]  Y. Moses, R. Fagin, J. Halpern, and M. Vardi. Reasoning about Knowledge. MIT Press, 1995. 
[16]  M. Manzano. Model Theory. Clarendon Press, 1999. 
[17]  Y. Moschovakis. Notes on Set Theory. Springer Verlag, 1994. 
[18]  B. Poizat. A Course in Model Theory. Springer Verlag, 2000. 
[19]  M. D. Potter. Mengentheorie. Spektrum Akademischer Verlag, 1994. 
[20]  P. Rothmaler. Einführung in die Modelltheorie. Spektrum Verlag, 1995. 
[21]  R. Smullyan. Theory of formal systems. Princeton University Press, 1961. 
[22]  R. Smullyan. Gödel's Incompleteness Theorems. Oxford University Press, 1992. 
Prerequisites
 Mathematical Logic
Classification
 Informatik (B.Sc.) / Wahlpflichtbereich Theoretische Informatik
 Mathematik (B.Sc.) / Wahlpflichtbereich
 Informatik (M.Sc.) / Theoretische Informatik
 Mathematik (M.Sc.) / Reine Mathematik
 Software Systems Engineering (M.Sc.) / Theoretical Foundations of Software Systems Engineering
Contact
Erich Grädel, Sophie Brinke