Lecture 2: the Probabilistic Method and Linearity of Expectation
نویسنده
چکیده
An old math puzzle goes: Suppose there are six people in a room; some of them shake hands. Prove that there are at least three people who all shook each others’ hands or three people such that no pair of them shook hands. Generalized a bit, this is the classic Ramsey problem. The diagonal Ramsey numbers R(k) are de ned as follows. R(k) is the smallest integer n such that in every two-coloring of the edges of the complete graph Kn by red and blue, there is a monochromatic copy of Kk , i.e. there are k nodes such that all of the k 2 edges between them are red or all of the edges are blue. A solution to the puzzle above asserts that R(3) 6 6 (and it is easy to check that, in fact, R(3) 6). In 1929, Ramsey proved that R(k) is nite for every k. We want to show that R(k) must grow pretty fast; in fact, we’ll prove that for k > 3, we have R(k) > b2k/2c. This requires nding a coloring of Kn that doesn’t contain any monochromatic Kk . To do this, we’ll use the probabilistic method: We’ll give a random coloring of Kn and show that it satis es our desired property with positive probability. This proof appeared in a paper of Erdös from 1947, and this is the example that starts Alon and Spencer’s famous book devoted to the probabilistic method.
منابع مشابه
Lecture 8 : Linearity of expectation
1 Linearity of expectation Now let us see some extensions of the basic method. Theorem 1 (Linearity of expectation). Let X1, · · · , Xn be random variables and X = c1X1+ · · ·+ cnXn, where ci’s are constants. Then EX = c1 EX1 + · · ·+ cn EXn. Proof. We prove it by induction. The base case of n = 1 is trivial. For the inductive step, it is sufficient to show that E[X + Y ] = E[X] + E[Y ] for two...
متن کاملRandom Graphs and the Probabilistic Method
These notes accompany a lecture given in the summer of 2006 at the Center for Combinatorics at Nankai University. They are provided as a reference (and especially bibliography) for students new to the probabilistic method. The goal in these notes is twofold. First we wish to demonstrate the basics of the probabilistic method, covering both the expectation and second moment applications. Second,...
متن کاملThe Probabilistic Method in Combinatorics
2 The Linearity of Expectation and small tweakings 11 2.1 Revisiting the Ramsey Number R(n, n) . . . . . . . . . . . . . . . . . . . 11 2.2 List Chromatic Number and minimum degree . . . . . . . . . . . . . . . 11 2.3 The Daykin-Erdős conjecture . . . . . . . . . . . . . . . . . . . . . . . . 13 2.4 An Example from Combinatorial Geometry . . . . . . . . . . . . . . . . . 14 2.5 Graphs with High...
متن کاملThe effect of Lecture and Focus Group Teaching Methods on Nursing Students Learning in Community Health Course
Introduction. New methods of teaching in nursing education has not been extensively investigated in Iran. Considering the importance of nursing education promotion and successful application of new methods of teaching, especially focus group method, this study was conducted to determine and compare the effect of lecture, and focus group teaching methods on nursing students' learning in communit...
متن کاملNovel Radial Basis Function Neural Networks based on Probabilistic Evolutionary and Gaussian Mixture Model for Satellites Optimum Selection
In this study, two novel learning algorithms have been applied on Radial Basis Function Neural Network (RBFNN) to approximate the functions with high non-linear order. The Probabilistic Evolutionary (PE) and Gaussian Mixture Model (GMM) techniques are proposed to significantly minimize the error functions. The main idea is concerning the various strategies to optimize the procedure of Gradient ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2015