Random Graphs -- Spring 2012


Room wwh317, Tuesday 5-6:50

Basic Information

Text: The Probabilistic Method, Noga Alon and Joel Spencer, John Wiley & Sons, 3rd Edition. This course could be called The Probabilistic Method or The Erdos Method or, my favorite, Erdos Magic. We will study a variety of random structures with particular emphasis on Random Graphs. We will analyze various algorithms on those structures. We will use random structures to prove the existence of combinatorial objects (this is, more specifically, the Erdos Magic) such as colorings, tournaments, and simultaneous roundoffs. We give methods (2nd moment method, Janson's Inequality, ...) that allow us to estimate and/or bound probabilities, particularly very small probabilities. (A basic knowledge of probability -- expectation, variance, binomial distribution and the like, would be helpful but is not required.) (Also, a prior acquaintance with Discrete Mathematics - graphs, trees, colorings, ... - would be helpful but is not required.) A common theme throughout the course is asymptotic estimation. There will be plenty of big-Ohs, little-ohs, Thetas and Omegas.

Final Exam

Tuesday, May 15, 5pm-6:50pm, wwh317

Assignments

Generally there will be assignments every week. They will be put online on Tuesday and due at the start of class the following Tuesday. Hard copy is always acceptible. Electronic copy can be sent to (Make sure your name is clearly indicated!) s2303307@cs.nyu.edu

The language of preference for the course is LaTeX but all forms of TeX are accepted. Please clarify which form of TeX is being used. Please send both the .tex and the .pdf files.

A special note: Working together on the assignments is encouraged. However, everyone must hand in their separate assignment and it should be written in cribe

Scribe

Scribe postings will be here. Click here scribelist for the list of scribes with dates. To volunteer: send your name, email and date requested to Prof. Spencer at spencer@cims.nyu.edu

February -1 (thanks Krzysztof!) pdf

February 7 (thanks George!) jpg jpg jpg jpg jpg jpg jpg jpg jpg jpg

Assignments

Assignment 1 due January 31, in class postscript LaTeX pdf

Assignment 2 due February 7, in class postscript LaTeX pdf

Assignment 3 due February 14, in class (NOTE: Problem 2 NOT to be handed in) postscript LaTeX pdf

Solutions

Assignment 1 due January 31, in class postscript LaTeX pdf

Assignment 2 due February 7, in class postscript LaTeX pdf

Assorted Stuff

Asymptotics of n choose k postscript LaTeX pdf