21
Introduction to Real Analysis MATH 2001 Juris Stepr¯ ans York University September 13, 2010 Juris Stepr¯ ans MATH 2001

Introduction to Real Analysis MATH 2001 13...Introduction to Real Analysis MATH 2001 Juris Stepr ans ... November 5. There are no lectures on October 11, ... marking on a random basis

Embed Size (px)

Citation preview

Page 1: Introduction to Real Analysis MATH 2001 13...Introduction to Real Analysis MATH 2001 Juris Stepr ans ... November 5. There are no lectures on October 11, ... marking on a random basis

Introduction to Real Analysis MATH 2001

Juris Steprans

York University

September 13, 2010

Juris Steprans MATH 2001

Page 2: Introduction to Real Analysis MATH 2001 13...Introduction to Real Analysis MATH 2001 Juris Stepr ans ... November 5. There are no lectures on October 11, ... marking on a random basis

Instructor

Instructor: Juris Steprans

My office is N530 in the Ross building.

Office hours are Mondays from 4:00 to 5:00 and Wednesdaysfrom 11:00 to 12:00. You are also welcome to make anappointment to see me.

My telephone number is 736-5250 (ask for me) or 736-2100extension 55250. However, I check my email frequently andoften the best way of reaching me is sending an email [email protected]

You can find a link to my website on the Department site. It iswww.math.yorku.ca/Who/Faculty/Steprans/menu.html

Juris Steprans MATH 2001

Page 3: Introduction to Real Analysis MATH 2001 13...Introduction to Real Analysis MATH 2001 Juris Stepr ans ... November 5. There are no lectures on October 11, ... marking on a random basis

Course description

Real analysis is the detailed study of the objects and argumentsused in elementary calculus. A first course in calculus is usuallyfocused on the computational techniques that make calculus souseful in analyzing many physical systems. Such a course mayoverlook several subtle points and the perceptive student will beleft wondering why these techniques work. Real analysis providesthe justification for the techniques and this analysis often providesprecise conditions under which the computational techniques canbe applied. Real Analysis I is an introduction the analysis of thearguments behind the computional techniques of Calculus.

Juris Steprans MATH 2001

Page 4: Introduction to Real Analysis MATH 2001 13...Introduction to Real Analysis MATH 2001 Juris Stepr ans ... November 5. There are no lectures on October 11, ... marking on a random basis

Important dates

The class meets Mondays, Wednesdays and Fridays from 9:30to 10:30 in Lecture Hall 203 in the North Ross building.

The first lecture is on Monday, September 13.

The Mid-Term Examination will be held on Friday,November 5.

There are no lectures on October 11, 13 and 15.

The last date to drop this course without receiving a grade inNovember 12.

The last lecture is on Friday, December 10.

The final examination will be held some time betweenDecember 12 and December 23.

Juris Steprans MATH 2001

Page 5: Introduction to Real Analysis MATH 2001 13...Introduction to Real Analysis MATH 2001 Juris Stepr ans ... November 5. There are no lectures on October 11, ... marking on a random basis

Evaluation

The final grade will be determined on the basis of assigned work, amid-term examination and a final examination according to thefollowing scheme:

Graded assignments: 20%

Mid-term examination: 30%

Final examination: 50%

Students of this course will be able to find their scores for thevarious components of the final grade posted here as they becomeavailable.

Juris Steprans MATH 2001

Page 6: Introduction to Real Analysis MATH 2001 13...Introduction to Real Analysis MATH 2001 Juris Stepr ans ... November 5. There are no lectures on October 11, ... marking on a random basis

The text

The text for the course is:

A Radical Approach to Real Analysis, second edition by David M.Bressoud, 2007. ISBN 0-88385-747-2. Mathematical Associationof America.

The course will cover Chapters 1 to 5 in detail and cover Chapter 6according to the time available. Additional resources can be foundon the course text web site maintained by David M. Bressoud, theauthor of the text.

Juris Steprans MATH 2001

Page 7: Introduction to Real Analysis MATH 2001 13...Introduction to Real Analysis MATH 2001 Juris Stepr ans ... November 5. There are no lectures on October 11, ... marking on a random basis

Figure: Cover of the textbook.

Juris Steprans MATH 2001

Page 8: Introduction to Real Analysis MATH 2001 13...Introduction to Real Analysis MATH 2001 Juris Stepr ans ... November 5. There are no lectures on October 11, ... marking on a random basis

How to read the text

The sections of the text will be covered in the same order aspresented in A Radical Approach to Real Analysis.

You will be told which sections will covered in upcominglectures and will be expected to have read those sectionsbefore the lecture.

You will also be expected to re-read them, with greaterunderstanding, after the lecture.

In other words, between any two lectures you will re-read thematerial of the previous lecture and read for the first time thematerial of the upcoming lecture.

Juris Steprans MATH 2001

Page 9: Introduction to Real Analysis MATH 2001 13...Introduction to Real Analysis MATH 2001 Juris Stepr ans ... November 5. There are no lectures on October 11, ... marking on a random basis

Exercises

Exercises will be assigned after most lectures. These will alsobe listed on the course web site with due dates.

Not all exercises will be marked; but some will be collected formarking on a random basis.

The exercises form an essential part of the course and it is notpossible to successfully complete the course without seriouslyattempting all the exercises.

Some assigned exercises may return as questions on themid-term and final examinations.

Juris Steprans MATH 2001

Page 10: Introduction to Real Analysis MATH 2001 13...Introduction to Real Analysis MATH 2001 Juris Stepr ans ... November 5. There are no lectures on October 11, ... marking on a random basis

From the preface to A Radical Approach to RealAnalysis

This course of analysis is radical; it returns to the roots of thesubject. It is not a history of analysis. It is rather an attempt tofollow the injunction of Henri Poincare to let history informpedagogy. It is designed to be a first encounter with real analysis,laying out its context and motivation in terms of the transitionfrom power series to those that are less predictable, especiallyFourier’s into which even great mathematicians have fallen.

Juris Steprans MATH 2001

Page 11: Introduction to Real Analysis MATH 2001 13...Introduction to Real Analysis MATH 2001 Juris Stepr ans ... November 5. There are no lectures on October 11, ... marking on a random basis

More from the preface to A Radical Approach toReal Analysis

The traditional course begins with a discussion of properties of thereal numbers, moves on to continuity, then differentiability,integrability, sequences, and finally infinite series, culminating in arigorous proof of the properties of Taylor series and perhaps evenFourier series. This is the right way to build analysis, but it is notthe right way to teach it. It supplies little motivation for the earlydefinitions and theorems. Careful definitions mean nothing untilthe drawbacks of the geometric and intuitive understandings ofcontinuity, limits, and series are fully exposed. For this reason, thefirst part of this book follows the historical progression and movesbackwards. It starts with infinite series, illustrating the greatsuccesses that led the early pioneers onward as well as theobstacles that stymied even such luminaries as Euler . . . .

Juris Steprans MATH 2001

Page 12: Introduction to Real Analysis MATH 2001 13...Introduction to Real Analysis MATH 2001 Juris Stepr ans ... November 5. There are no lectures on October 11, ... marking on a random basis

Even more from the preface to A RadicalApproach to Real Analysis

There is an intentional emphasis on the mistakes that have beenmade. These highlight difficult conceptual points. That Cauchyhad so much trouble proving the mean value theorem or coming toterms with the notion of uniform convergence should alert us tothe fact that these ideas are not easily assimilated. The studentneeds time with them. The highly refined proofs that we knowtoday leave the mistaken impression that the road of discovery inmathematics is straight and sure. It is not . . .

Juris Steprans MATH 2001

Page 13: Introduction to Real Analysis MATH 2001 13...Introduction to Real Analysis MATH 2001 Juris Stepr ans ... November 5. There are no lectures on October 11, ... marking on a random basis

Fourier and the heat problem

Juris Steprans MATH 2001

Page 14: Introduction to Real Analysis MATH 2001 13...Introduction to Real Analysis MATH 2001 Juris Stepr ans ... November 5. There are no lectures on October 11, ... marking on a random basis

The heat equation

The key physical fact is that the rate of cooling (or heating)between two adjacent regions is proportional to the difference intheir temperatures.Let z(x ,w , t) denote the temperature at the point (x ,w) at timet. Given a square with bottom left hand corner at (x ,w) andheight and width h the amount of heat the square loses at the lefthand side from right to left is

h∂

∂xz(x ,w , t)

while the amount of heat the square loses at the right hand sidefrom left to right is

−h∂

∂xz(x + h,w , t)

noting the change in sign.

Juris Steprans MATH 2001

Page 15: Introduction to Real Analysis MATH 2001 13...Introduction to Real Analysis MATH 2001 Juris Stepr ans ... November 5. There are no lectures on October 11, ... marking on a random basis

The heat equation continued

Hence, the total change of heat from left to right is:

h

(∂

∂xz(x ,w , t) − ∂

∂xz(x + h,w , t)

)where physical constants have been ignored.Similarly, the total change of heat from left to right is:

h

(∂

∂xz(x ,w , t) − ∂

∂wz(x ,w + h, t)

)

Juris Steprans MATH 2001

Page 16: Introduction to Real Analysis MATH 2001 13...Introduction to Real Analysis MATH 2001 Juris Stepr ans ... November 5. There are no lectures on October 11, ... marking on a random basis

The heat equation continued

On the other hand, the total amount of heat lost or gained shouldbe proportional to the area of the square and the change intemperature

h2∂

∂tz(x ,w , t)

and so

h2∂

∂tz(x ,w , t) =

h

(∂

∂xz(x ,w , t) − ∂

∂xz(x + h,w , t) +

∂wz(x ,w , t) − ∂

∂wz(x ,w + h, t)

)and so . . .

Juris Steprans MATH 2001

Page 17: Introduction to Real Analysis MATH 2001 13...Introduction to Real Analysis MATH 2001 Juris Stepr ans ... November 5. There are no lectures on October 11, ... marking on a random basis

The heat equation continued

∂tz(x ,w , t) =

∂x

(z(x ,w , t) − z(x + h,w , t)

h

)+∂

∂w

(z(x ,w , t) − z(x ,w + h, t)

h

)Taking the limit of the right hand side as h goes to 0 yields:

∂tz(x ,w , t) =

∂2

∂x2z(x ,w , t) +

∂2

∂w2z(x ,w , t)

Juris Steprans MATH 2001

Page 18: Introduction to Real Analysis MATH 2001 13...Introduction to Real Analysis MATH 2001 Juris Stepr ans ... November 5. There are no lectures on October 11, ... marking on a random basis

The heat equation obtained

In the steady state, when the temperature is no longer changing itfollows that ∂

∂t z(x ,w , t) = 0 and hence the variable t can beignored and the heat equation becomes:

∂2

∂x2z(x ,w) +

∂2

∂w2z(x ,w) = 0

This is the equation in which Fourier was interested.

Juris Steprans MATH 2001

Page 19: Introduction to Real Analysis MATH 2001 13...Introduction to Real Analysis MATH 2001 Juris Stepr ans ... November 5. There are no lectures on October 11, ... marking on a random basis

Solutions to the heat equation

Fourier was interested in finding solutions for z such thatz(0, x) = f (x) for some specified function f . The function fspecifies the temperature at which the bottom edge of Fourier’splate is maintained.

Juris Steprans MATH 2001

Page 20: Introduction to Real Analysis MATH 2001 13...Introduction to Real Analysis MATH 2001 Juris Stepr ans ... November 5. There are no lectures on October 11, ... marking on a random basis

Solutions to the heat equation

Juris Steprans MATH 2001

Page 21: Introduction to Real Analysis MATH 2001 13...Introduction to Real Analysis MATH 2001 Juris Stepr ans ... November 5. There are no lectures on October 11, ... marking on a random basis

Solutions to the heat equation

Since φ and ψ depend on different variables it must be thatφ(w)/φ′′(w) and ψ(x)/ψ′′(x) are both constant and, hence

φ′′(w) = Aφ(w)

ψ′′(x) = Aψ(x)

and these equations should be familiar from first year calculus.

Juris Steprans MATH 2001