13.07.2015 Views

Mathematical Methods for Physics and Engineering - Matematica.NET

Mathematical Methods for Physics and Engineering - Matematica.NET

Mathematical Methods for Physics and Engineering - Matematica.NET

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

CONTENTS29.6 Characters 1092Orthogonality property of characters29.7 Counting irreps using characters 1095Summation rules <strong>for</strong> irreps29.8 Construction of a character table 110029.9 Group nomenclature 110229.10 Product representations 110329.11 Physical applications of group theory 1105Bonding in molecules; matrix elements in quantum mechanics; degeneracy ofnormal modes; breaking of degeneracies29.12 Exercises 111329.13 Hints <strong>and</strong> answers 111730 Probability 111930.1 Venn diagrams 111930.2 Probability 1124Axioms <strong>and</strong> theorems; conditional probability; Bayes’ theorem30.3 Permutations <strong>and</strong> combinations 113330.4 R<strong>and</strong>om variables <strong>and</strong> distributions 1139Discrete r<strong>and</strong>om variables; continuous r<strong>and</strong>om variables30.5 Properties of distributions 1143Mean; mode <strong>and</strong> median; variance <strong>and</strong> st<strong>and</strong>ard deviation; moments; centralmoments30.6 Functions of r<strong>and</strong>om variables 115030.7 Generating functions 1157Probability generating functions; moment generating functions; characteristicfunctions; cumulant generating functions30.8 Important discrete distributions 1168Binomial; geometric; negative binomial; hypergeometric; Poisson30.9 Important continuous distributions 1179Gaussian; log-normal; exponential; gamma; chi-squared; Cauchy; Breit–Wigner; uni<strong>for</strong>m30.10 The central limit theorem 119530.11 Joint distributions 1196Discrete bivariate; continuous bivariate; marginal <strong>and</strong> conditional distributions30.12 Properties of joint distributions 1199Means; variances; covariance <strong>and</strong> correlation30.13 Generating functions <strong>for</strong> joint distributions 120530.14 Trans<strong>for</strong>mation of variables in joint distributions 120630.15 Important joint distributions 1207Multinominal; multivariate Gaussian30.16 Exercises 121130.17 Hints <strong>and</strong> answers 1219xvi

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!