Department of Mathematics
Qualifying Exam - Analysis (M517-M518)
- Description
The analysis qualifier is based (approximately) on the content of the
courses M517-M518. For the convenience of those preparing the exam and
those who are taking the exam, a list of topics has been compiled. The
analysis qualifier may include any of the topics included in the following
list (whether or not the topics were actually covered in M517-M518 during
recent semesters). The analysis qualifier will not include any topics that
are not included in the list and any given exam probably will not include
every topic on the list.
M 517
-
basic properties of real numbers and Rn
-
Finite, countable and uncountable sets
-
Metric space topology: open, closed compact, connected sets; Heine-Borel
thm
-
Sequences: limit defn; limit thms in R and Rn; subsequences; Cauchy sequences;
Monotone convergence theorem for sequences.
-
Limits and continuity: limits of functions; function limit theorems; continuity
and uniform continuity; continuity and monotone functions;
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continuity on connected, compact sets.
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Series of numbers in R or C; tests for convergence; power series; absolute
convergence and rearrangements.
-
differentiation of functions of one variable: derivative; differentiation
rules; Mean value theorem and consequences; Taylor's
-
theorem in 1 variable
-
integration of functions of one variable: Riemann integral; conditions
for integrability; properties of the integral; fundamental theorem
of calculus; rectifiable curves
M 518
-
sequences and series of functions: pointwise, uniform convergence; uniform
convergence and continuity, integrability, differentiability; Weierstrass
M-test; the B-space C(K); Weierstrass approx theorem; Stone-Weierstrass
theorem
-
differentiation in Rn: derivative as a linear tranformation;partial derivatives;
Jacobian and Hessian matrices; Taylor's theorem; conditions for differentiability
and consequences of differentiability
-
Inverse and implicit function theorems
-
Riemann integration in Rn: proerties of the integral;sets of measure and
content zero;Lebesgue's necessary and sufficient condtions for integrability;
multiple and iterated integrals; Fubini's theorem; change of variable
-
vector analysis: vector differential calculus; divergence, gradient,
curl; vector integral calculus; integral identities and integral theorems
of Green, Gauss and Stokes.
References: Wade, W. R., An Introduction to Analysis, Prentice-Hall,
1995
Rudin, W., Prinicples of Mathematical Analysis, 3rd ed, McGraw-Hill
November 1998