Calculus, vol 2 - Multi Variable Calculus and Linear Algebra With Applications to Differen

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Posted on 2010-02-05. By anonymous.

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Calculus, vol 2 - Multi Variable Calculus and Linear Algebra With Applications to Differential Equation and Probability
by Tom M. Apostol


This book is a continuation of the author’s Calculus, Volume I, Second Edition. The
present volume has been written with the same underlying philosophy that prevailed in the
first. Sound training in technique is combined with a strong theoretical development.
Every effort has been made to convey the spirit of modern mathematics without undue
emphasis on formalization. As in Volume I, historical remarks are included to give the
student a sense of participation in the evolution of ideas.
The second volume is divided into three parts, entitled Linear Analysis, Nonlinear
Ana!ysis, and Special Topics. The last two chapters of Volume I have been repeated as the
first two chapters of Volume II so that all the material on linear algebra will be complete
in one volume.
Part 1 contains an introduction to linear algebra, including linear transformations,
matrices, determinants, eigenvalues, and quadratic forms. Applications are given to
analysis, in particular to the study of linear differential equations. Systems of differential
equations are treated with the help of matrix calculus. Existence and uniqueness theorems
are proved by Picard’s method of successive approximations, which is also cast in the
language of contraction operators.
Part 2 discusses the calculus of functions of several variables. Differential calculus is
unified and simplified with the aid of linear algebra. It includes chain rules for scalar and
vector fields, and applications to partial differential equations and extremum problems.
Integral calculus includes line integrals, multiple integrals, and surface integrals, with
applications to vector analysis. Here the treatment is along more or less classical lines and
does not include a formal development of differential forms.
The special topics treated in Part 3 are Probability and Numerical Analysis. The material
on probability is divided into two chapters, one dealing with finite or countably infinite
sample spaces; the other with uncountable sample spaces, random variables, and distribution
functions. The use of the calculus is illustrated in the study of both one- and
two-dimensional random variables.
The last chapter contains an introduction to numerical analysis, the chief emphasis
being on different kinds of polynomial approximation. Here again the ideas are unified
by the notation and terminology of linear algebra. The book concludes with a treatment of
approximate integration formulas, such as Simpson’s rule, and a discussion of Euler’s
summation formula.

PDF | 696 pages | 12.5 MB

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