Suchergebnis: Katalogdaten im Herbstsemester 2017
Physik Master | ||||||
Wahlfächer | ||||||
Physikalische und mathematische Wahlfächer | ||||||
Auswahl: Mathematik | ||||||
Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |
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401-3531-00L | Differential Geometry I Höchstens eines der drei Bachelor-Kernfächer 401-3461-00L Funktionalanalysis I / Functional Analysis I 401-3531-00L Differentialgeometrie I / Differential Geometry I 401-3601-00L Wahrscheinlichkeitstheorie / Probability Theory ist im Master-Studiengang Mathematik anrechenbar. | W | 10 KP | 4V + 1U | D. A. Salamon | |
Kurzbeschreibung | Submanifolds of R^n, tangent bundle, embeddings and immersions, vector fields, Lie bracket, Frobenius' Theorem. Geodesics, exponential map, completeness, Hopf-Rinow. Levi-Civita connection, parallel transport, motions without twisting, sliding, and wobbling. Isometries, Riemann curvature, Theorema Egregium. Cartan-Ambrose-Hicks, symmetric spaces, constant curvature, Hadamard's theorem. | |||||
Lernziel | Introduction to Differential Geometry. Submanifolds of Euclidean space, tangent bundle, embeddings and immersions, vector fields and flows, Lie bracket, foliations, the Theorem of Frobenius. Geodesics, exponential map, injectivity radius, completeness Hopf-Rinow Theorem, existence of minimal geodesics. Levi-Civita connection, parallel transport, Frame bundle, motions without twisting, sliding, and wobbling. Isometries, the Riemann curvature tensor, Theorema Egregium. Cartan-Ambrose-Hicks, symmetric spaces, constant curvature, nonpositive sectional curvature, Hadamard's theorem. | |||||
Literatur | Joel Robbin and Dietmar Salamon "Introduction to Differential Geometry", Link | |||||
401-3461-00L | Functional Analysis I Höchstens eines der drei Bachelor-Kernfächer 401-3461-00L Funktionalanalysis I / Functional Analysis I 401-3531-00L Differentialgeometrie I / Differential Geometry I 401-3601-00L Wahrscheinlichkeitstheorie / Probability Theory ist im Master-Studiengang Mathematik anrechenbar. | W | 10 KP | 4V + 1U | A. Carlotto | |
Kurzbeschreibung | Baire category; Banach and Hilbert spaces, bounded linear operators; basic principles: Uniform boundedness, open mapping/closed graph theorem, Hahn-Banach; convexity; dual spaces; weak and weak* topologies; Banach-Alaoglu; reflexive spaces; compact operators and Fredholm theory; closed range theorem; spectral theory of self-adjoint operators in Hilbert spaces; Fourier transform and applications. | |||||
Lernziel | Acquire a good degree of fluency with the fundamental concepts and tools belonging to the realm of linear Functional Analysis, with special emphasis on the geometric structure of Banach and Hilbert spaces, and on the basic properties of linear maps. | |||||
Skript | Lecture Notes on "Funktionalanalysis I" by Michael Struwe | |||||
Literatur | A primary reference for the course is the textbook by H. Brezis: Haim Brezis. Functional analysis, Sobolev spaces and partial differential equations. Universitext. Springer, New York, 2011. Other useful, and recommended references are the following: Elias M. Stein and Rami Shakarchi. Functional analysis (volume 4 of Princeton Lectures in Analysis). Princeton University Press, Princeton, NJ, 2011. Peter D. Lax. Functional analysis. Pure and Applied Mathematics (New York). Wiley-Interscience [John Wiley & Sons], New York, 2002. Walter Rudin. Functional analysis. International Series in Pure and Applied Mathematics. McGraw-Hill, Inc., New York, second edition, 1991. | |||||
Voraussetzungen / Besonderes | Solid background on the content of all Mathematics courses of the first two years of the undergraduate curriculum at ETH (most remarkably: fluency with measure theory, Lebesgue integration and L^p spaces). | |||||
401-3601-00L | Probability Theory Höchstens eines der drei Bachelor-Kernfächer 401-3461-00L Funktionalanalysis I / Functional Analysis I 401-3531-00L Differentialgeometrie I / Differential Geometry I 401-3601-00L Wahrscheinlichkeitstheorie / Probability Theory ist im Master-Studiengang Mathematik anrechenbar. | W | 10 KP | 4V + 1U | A.‑S. Sznitman | |
Kurzbeschreibung | Basics of probability theory and the theory of stochastic processes in discrete time | |||||
Lernziel | This course presents the basics of probability theory and the theory of stochastic processes in discrete time. The following topics are planned: Basics in measure theory, random series, law of large numbers, weak convergence, characteristic functions, central limit theorem, conditional expectation, martingales, convergence theorems for martingales, Galton Watson chain, transition probability, Theorem of Ionescu Tulcea, Markov chains. | |||||
Inhalt | This course presents the basics of probability theory and the theory of stochastic processes in discrete time. The following topics are planned: Basics in measure theory, random series, law of large numbers, weak convergence, characteristic functions, central limit theorem, conditional expectation, martingales, convergence theorems for martingales, Galton Watson chain, transition probability, Theorem of Ionescu Tulcea, Markov chains. | |||||
Skript | available, will be sold in the course | |||||
Literatur | R. Durrett, Probability: Theory and examples, Duxbury Press 1996 H. Bauer, Probability Theory, de Gruyter 1996 J. Jacod and P. Protter, Probability essentials, Springer 2004 A. Klenke, Wahrscheinlichkeitstheorie, Springer 2006 D. Williams, Probability with martingales, Cambridge University Press 1991 | |||||
401-3621-00L | Fundamentals of Mathematical Statistics | W | 10 KP | 4V + 1U | S. van de Geer | |
Kurzbeschreibung | The course covers the basics of inferential statistics. | |||||
Lernziel | ||||||
401-3177-67L | Introduction to Vertex Operator Algebras | W | 4 KP | 2V | C. A. Keller | |
Kurzbeschreibung | A first introduction to the theory of vertex operator algebras. | |||||
Lernziel | Understand the basic concepts of vertex operator algebras and their most important examples. | |||||
Inhalt | Tentative plan: 1) Formal power series, local fields 2) Vertex Algebras 3) Conformal symmetry 4) Vertex Operator Algebras 5) Correlation functions 6) VOAs from lattices 7) Connection to modular forms: Zhu's Theorem 8) Connection to Monstrous Moonshine | |||||
Literatur | Victor Kac: Vertex Algebras for Beginners James Lepowksy, Haisheng Li: Introduction to Vertex Operator Algebras and Their Representations | |||||
Voraussetzungen / Besonderes | Basic algebra and linear algebra. Some background in quantum mechanics is helpful, but not necessary. |
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