M5140 Graph Theory

Faculty of Science
Autumn 2011
Extent and Intensity
2/1/0. 3 credit(s) (příf plus uk k 1 zk 2 plus 1 > 4). Type of Completion: zk (examination).
Teacher(s)
doc. Mgr. Michal Kunc, Ph.D. (lecturer)
Guaranteed by
doc. RNDr. Josef Niederle, CSc.
Department of Mathematics and Statistics – Departments – Faculty of Science
Timetable
Thu 18:00–19:50 M1,01017
  • Timetable of Seminar Groups:
M5140/01: Thu 15:00–15:50 M1,01017, M. Kunc
M5140/02: Thu 12:00–12:50 M5,01013, M. Kunc
Prerequisites (in Czech)
! M5145 Graph Theory && !( FI:MA010 Graph Theory )
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 6 fields of study the course is directly associated with, display
Course objectives
This is an introductory course in graph theory. After passing the course, students will be able to: use the basic notions of graph theory; define and understand basic properties of graphs, in particular, edge connectivity, vertex connectivity, planarity and chromatic number; explain and apply the most important results of graph theory; solve simple graph problems using standard effective algorithms.
Syllabus
  • Basic concepts: definition of graphs, basic graphs, representation of graphs, isomorphism of graphs, subgraphs, degree sequence.
  • Walks, trails, paths: shortest paths, number of walks, Markov chains.
  • Flow networks: max-flow min-cut theorem.
  • Edge connectivity and vertex connectivity: connected components, bridges, Menger's theorem, Dirac's theorem, blocks, 2-connected graphs, 3-connected graphs.
  • Graph traversals: Eulerian graphs, Hamiltonian graphs, travelling salesman problem.
  • Matchings: bipartite matching, Tutte's theorem.
  • Trees: characterizations of trees, center, number of trees, minimal spanning trees.
  • Edge colourings: colourings of bipartite graphs, Vizing's theorem, Ramsey's theorem.
  • Vertex colourings: Brooks' theorem, chromatic polynomial.
  • Planar graphs: Euler's formula, Platonic solids, number of edges, Kuratowski's theorem, dual graph, four colour theorem, genus.
  • Minors: Robertson–Seymour theorem.
  • Graph orientation: Robbins' theorem, tournaments.
Literature
  • NEŠETŘIL, Jaroslav. Kombinatorika. Vyd. 1. Praha: Státní pedagogické nakladatelství, 1983, 173 s. URL info
  • NEŠETŘIL, Jaroslav. Teorie grafů. Vyd. 1. Praha: SNTL - Nakladatelství technické literatury, 1979, 316 s. URL info
  • PLESNÍK, Ján. Grafové algoritmy. 1. vyd. Bratislava: Veda, 1983, 343 s. info
  • KUČERA, Luděk. Kombinatorické algoritmy. 2., nezměn. vyd. Praha: SNTL - Nakladatelství technické literatury, 1989, 286 s. info
  • Introduction to graph theory. Edited by Robin J. Wilson. 4th ed. Harlow: Prentice Hall, 1996, viii, 171. ISBN 0582249937. info
  • DIESTEL, Reinhard. Graph theory. 3rd ed. Berlin: Springer, 2006, xvi, 410s. ISBN 3540261834. info
Teaching methods
Lectures and seminars.
Assessment methods
Written and oral examination.
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
Listed among pre-requisites of other courses
The course is also listed under the following terms Autumn 2007 - for the purpose of the accreditation, Autumn 1999, Autumn 2010 - only for the accreditation, Autumn 2000, Autumn 2001, Autumn 2002, Autumn 2003, Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011 - acreditation, Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, autumn 2017, Autumn 2018, Autumn 2019, Autumn 2020, autumn 2021, Autumn 2022, Autumn 2023, Autumn 2024.
  • Enrolment Statistics (Autumn 2011, recent)
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