Need a lot of worked real analysis proofs (from easy to difficult)

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Discussion Overview

The discussion revolves around recommendations for books and resources to prepare for real analysis in the context of a Ph.D. program in Operations Research. Participants share their experiences and suggest various texts that include worked examples and solutions, addressing the need for foundational proof skills in mathematics.

Discussion Character

  • Exploratory
  • Technical explanation
  • Homework-related

Main Points Raised

  • One participant seeks recommendations for books with a high number of worked examples in real analysis, expressing a lack of proof experience.
  • Another participant suggests "Berkeley Problems in Mathematics" as a comprehensive resource covering various mathematical topics, including real analysis.
  • Some participants recommend specific books, including those by Pugh, Spivak, and Rudin, noting their strengths and weaknesses regarding solutions and clarity.
  • A participant mentions the importance of also covering rigorous linear algebra in preparation for the Ph.D. program.
  • There is a suggestion to explore online resources, including tutorials and lectures on real analysis.
  • One participant highlights the relevance of stochastic processes and probability theory in Operations Research, suggesting additional literature in those areas.

Areas of Agreement / Disagreement

Participants generally agree on the importance of real analysis for the Ph.D. program, but there is no consensus on which specific books or resources are the best fit, as multiple recommendations are provided with varying opinions on their effectiveness.

Contextual Notes

Some recommendations lack solutions, which may be a limitation for those seeking worked examples. The discussion also reflects a range of mathematical topics beyond real analysis, indicating a broader scope of preparation needed for Operations Research.

Who May Find This Useful

Individuals preparing for graduate studies in mathematics, particularly those entering fields related to Operations Research, may find the shared resources and recommendations beneficial.

Helicobacter
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I was accepted into a top tier Ph.D. Operations Research program. I have six months to prepare independently on my own (at home). Everybody told me real analysis is the first thing I should look at (which makes sense, because I don't have proof experience).

Can you please recommend me a book that has a high number of worked examples (e.g., any solutions manual).

I got the Bartle and the Rosenlicht text, but there are no solutions to the exercises, and in the text there are not many worked proofs.

Remark: I posed this thread in two forums because I want to have higher exposure and I didn't know which one would be more fitting.
 
Last edited:
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Since you posted this in 2 separate threads, the other one has been deleted, it was deleted exactly when I was clicking the "Post Quick reply" button, Lol!

Regarding the books, I would recommend "Berkeley Problems in Mathematics" by Paulo Ney de Souza & Jorge-Nuno Silva. It contains problems and solutions that covers all major topics in Math at undergraduate level (you may ignore Complex Analysis & Groups if you want to since they won't be of much use in Operations Research). The contents are:

1 Real Analysis
1.1 Elementary Calculus
1.2 Limits and Continuity
1.3 Sequences, Series. and Products
1.4 Differential Calculus
1.5 Integral Calculus
1.6 Sequences of Functions
1.7 Fourier Series
1.8 Convex Functions

2 Multivariable Calculus
2.1 Limits and Continuity
2.2 Differential Calculus
2.3 Intcgral Calculus

3 Differential Equations
3.1 First Order Equations
3.2 Second Order Equations
3.3 Higher Order Equations
3.4 Systems of Differential Equations

4 Metric Spaces
4.1 Topology of R^n
4.2 General Theory
4.3 Fixed Point Theorem

5 Complex Analysis
5.1 Complex Numbers
5.2 Series and Sequences of Functions
5.3 Conformal Mappings
5.4 Integral Representation of Analytic Functions
5.5 Functions on the Unit Disc
5.6 Growth Conditions
5.7 Analytic and Meromorphic Functions
5.8 Cauchy’s Theorem
5.9 Zeros and Singularities
5.10 Harmonic Functions
5.11 Residue Theory
5.12 Integrals Along the Real Axis

6 Algebra
6.1 Examples of Groups and General Theory
6.2 Homomorphisms and Subgroups
6.3 Cyclic Groups
6.4 Normality, Quotients, and Homomorphisms
6.5 S,. A,. D,
6.6 Direct Products
6.7 Free Groups. Products. Gcnerators. and Relations
6.8 Finite Groups
6.9 Rings and Their Homomorphisms
6.10 Ideals
6.11 Polynomials
6.12 Fields and Their Extensions
6.13 Elementary Number Theory

7 Linear Algebra
7.1 Vector Spaces
7.2 Rank and Determinants
7.3 Systems of Equations
7.4 Linear Transformations
7.5 Eigenvalues and Eigenvectors
7.6 Canonical Forms
7.7 Similarity
7.8 Bilinear. Quadratic Forms. and Inner Product Spaces
7.9 General Theory of Matrices
 
Do you mind to share your profile? I am pretty much interested in applying for Operations Research PhD myself!
 
Thanks a lot, this is much more than I expected: I need to also cover rigorous linear algebra.

Not sure what you mean by profile. If you mean qualifications by that: undergrad GPA: 3.97, math GRE (not the subject test): 800.
 
Last edited by a moderator:
Baby Rudin is pretty good.
 
Thanks for all the recommendations.
 
If its for Real Analysis then I would recommend Real Mathematical Analysis by Pugh. It doesn't have solutions, but the text is very well written. If it is for an introductory course in Analysis I would recommend Calculus by Spivak followed by Spivak's Calculus on Manifolds or Analysis on Manifolds by Munkres.
 
  • #10
Helicobacter said:
I was accepted into a top tier Ph.D. Operations Research program. I have six months to prepare independently on my own (at home). Everybody told me real analysis is the first thing I should look at (which makes sense, because I don't have proof experience).

Can you please recommend me a book that has a high number of worked examples (e.g., any solutions manual).

I got the Bartle and the Rosenlicht text, but there are no solutions to the exercises, and in the text there are not many worked proofs.

Remark: I posed this thread in two forums because I want to have higher exposure and I didn't know which one would be more fitting.

A lot of OR involves probability theory and statistics. A good book on stochastic processes and read papers on applying stochastic models to real world problems e.g using kalman filters. There is a huge literature in finance.
 

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