Room wwh317, Tuesday 5-6:50
The exam will be THREE HOURS LONG. It will have eight questions of varying lengths. It is not a particularly long exam, and you may well finish with time to spare.
Previous information about a scheduled exam should be ignored.
Special rules: The exam must be returned by Monday, May 7 noon. It may be taken at any time period before that but it must be a continuous time period for the three hours. (e.g., one can do it 2:30-5:30 a.m. Thursday morning.)
The text, The Probabilistic Method, may be used. Notes may be used. Everything that is on the website for the course, including assignments and solutions and scribenotes may be used. Your own notes, if they are on the computer, may be used. You may NOT look for other papers, results, Wikis or whatever. As this is a timed exam, it is suggested that you familiarize yourself with the material (at least, where it is!) in the various notes available before you take the exam.
Please supply your own (large!) pad of paper for writing the solutions. Submit separate problems on separate sheets.
As a general rule I avoid tricky problems -- the questions test mostly a basic understanding of the course. Problems marked with a (*) are more difficult, those with a (-) have short answers, if you see them! More information on the exam will be placed HERE as the date approaches.
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.
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
February -1 (thanks Krzysztof!) pdf
February 7 (thanks George!) jpg jpg jpg jpg jpg jpg jpg jpg jpg jpg
February 14 (thanks Nate!) pdf
February 21 (thanks Brian!) jpg jpg jpg jpg jpg jpg jpg
March 6 (thanks Krzysztof!) pdf
March 26 (thanks Jeong!) pdf
April 3 (thanks Feng!) pdf
April 17 (thanks Nimrod!) pdf tex ps April 24 (thanks Krzysztof!) pdf
May 1 (thanks Arjun!) pdf
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
Assignment 4 due February 21, in class postscript LaTeX pdf
Assignment 5 due February 28, in class postscript LaTeX pdf
Assignment 6 due March 6, in class postscript LaTeX pdf
Assignment 7 due March 20, in class postscript LaTeX pdf
Assignment 8 due March 27, in class postscript LaTeX pdf
Assignment 9 due April 3, in class postscript LaTeX pdf
Assignment 10 due April 10, in class postscript LaTeX pdf
Assignment 11 due April 17, in class postscript LaTeX pdf
Assignment 12 due April 24, in class postscript LaTeX pdf
Assignment 13 due May 1, in class postscript LaTeX pdf
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 postscript LaTeX pdf
Assignment 4 due February 21, in class postscript LaTeX pdf
Assignment 5 due February 28, in class postscript LaTeX pdf
Assignment 6 due March 6, in class postscript LaTeX pdf
Assignment 7 due March 20, in class postscript LaTeX pdf
Assignment 8 due March 27, in class postscript LaTeX pdf
Assignment 9 due April 3, in class postscript LaTeX pdf
Assignment 10 due April 10, in class postscript LaTeX pdf
Assignment 11 due April 17, in class postscript LaTeX pdf
Assignment 12 due April 24, in class postscript LaTeX pdf
Assignment 13 due May 1, in class postscript LaTeX pdf
Correlation Inequality for Janson Inequality postscript LaTeX pdf