Welcome
to
620-312 Linear Analysis
Second Semester,
2007
Lecturer: Associate Professor Jerry Koliha
Address: Room 164 in the Richard Berry Building
e-mail: j.koliha@ms.unimelb.edu.au
I welcome you to what I hope will be an enjoyable and instructive semester.
It is important to familiarize yourself with the contents of the prescribed Lecture Notes. The Appendices contain background material for the course. Please read Appendices A and E in the first weeks of the semester. You are welcome to discuss any problems with me outside lectures (in the scheduled consultation hours or at other times by appointment). The first part of the Notes relates to metric spaces; the section on completion of metric spaces gives an alternative approach to the one presented in 620-311 and will be a crucial tool for the construction of the Lebesgue integral. It is expected that students will take advantage of the MacTutor History of Mathematics website containing biographies of mathematicians and a history of mathematical disciplines.
Class
Representative: Yi Huang
Visit your lecturer's home page
| News | Lectures | Assessment |
| Lecture times | Consultation hours | Assignments |
| References | Practice Class | Subject objectives and generic skills |
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If you miss a lecture, you may download the following black and white scans of the lecture transparencies. The scans are in portable document format (PDF) and you will need Adobe's Acrobat Reader or plugin for your web-browser. The files are protected by a password given in the lectures.
Reading these
Lecture Notes is NOT a substitute for attendance. If you want
to do well in this subject, you have to attend Lectures and Practice
Classes.
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The assessment in this subject will be based on four assignments due during the Semester and a three hour examination at the end of Semester. Your mark in 620-312 will be the maximum of
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Your lecture times (L=lecture, P=Practice Class)
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Monday L |
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Room 213, R. Berry Building |
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Tuesday L |
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Room 213, R. Berry Building |
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Friday L |
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Room 213, R. Berry Building |
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Thursday P |
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Room 213, R. Berry Building |
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The consultation hours are for individual consultations. They will start in the second week of Semester. The students can come at other times, subject to the availability of the lecturer.
Thursday
11-12 pm |
Room
164 R. Berry Build. |
Friday
11-12 pm |
Room
164 R. Berry Build. |
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There will be 4 assignments that will contribute up to 20% towards your final mark in this subject. Assignments will be handed out a week before the due date. Copies will be available through this Web site. Click on Assignment X to download the text of the assignment, and click on the due date to download a solution (understandably, solutions are available only after the due date).
Students who are unable to submit an assignment on time and qualify for special consideration, should contact A/Prof Koliha as soon as possible.
These assignments must be your own work. While students are encouraged to discuss their coursework and problems with one another, assignments must be written up independently. According to the University Council ruling, each student is required to hand in a signed statement regarding plagiarism for each subject. Download the file here: plag.pdf
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The prescribed text for this subject is a preliminary version of the book
J. J. Koliha, Linear Analysis, University of Melbourne, 20065
sold from the University Bookroom. The following books may serve as additional references:
I. Integration
II. Linear spaces and
operators
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Practice Class is given
weekly on Thursday 10-11 am in Room 213 in R. Berry Building.
Attendance is monitored. Overall strategy for Practice Classes:
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Handbook entry for 620-312
Content:
Measure and integration: Introduction to measure spaces
and abstract Lebesgue integration; Lebesgue integration in Euclidean
spaces; dominated convergence and applications; relation between
integration and differentiation; Newton integral
Linear spaces and operators: Normed and inner product spaces;
Hilbert spaces, abstract Fourier series; linear operators and
functionals; dual spaces; Hahn-Banach theorem; uniform boundedness;
open mapping theorem and closed graph theorem
On completion of this subject, students should:
Comprehend:
Have developed the ability to:
Appreciate:
In addition to learning
specific technical skills that will assist you in your future
careers in science, engineering, commerce, education or elsewhere,
you will have the opportunity to develop in this subject, generic
skills that will assist you whatever your future career path.
©The University of Melbourne 1994-1999. Disclaimer and Copyright Information.
Created: July 2001 Last modified:11 October 2007 Authorised by: Professor Peter Taylor, Head of DepartmentMaintained by: J. J. Koliha, Department of Mathematics & Statistics