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Course Catalog 2013-2014
MAT-61756 Measure and Integration, 7 cr |
Additional information
Moodle is used during the course.
Suitable for postgraduate studies
Person responsible
Sirkka-Liisa Eriksson
Lessons
| Study type | P1 | P2 | P3 | P4 | Summer | Implementations | Lecture times and places |
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Requirements
Passed final examination or two partial examinations
Completion parts must belong to the same implementation
Principles and baselines related to teaching and learning
During the course there are instructed exercises that helps learning. Moodle study platform is used during the course and extra material may be handed out through that there and students may discuss about there problem.
Learning Outcomes
After the completion of the course the student knows the main concepts and results of the measure and integration theory. The student is capable of defining the main concepts precisely. The student is capable of applying results in calculations and giving justifications for then. The student is able to verify the most important results. The student can apply the concepts and results in advanced studies and applications in the area of analysis and stochastics. The exact mathematical reasoning is emphasized during the course.
Content
| Content | Core content | Complementary knowledge | Specialist knowledge |
| 1. | Lebesgue measure in the set of real numbers starting from the outer measure | An example of the non-measurable set | the role of the axiom of choice in the measure theory |
| 2. | The foundations of the general measure theory: a sigma algebra, a measurable space, a measure space. The theory of integration: Convergence theorems The connections between the Lebesgue integral and the Riemann integral. | Borel measure The connections to the probability theory Ecpected value | Generaöl outer measure A measure given by the general outer measure. |
| 3. | The product measure The integhral with respect to the product measure Tonelli's and Fubini's theorems n-dimensional Lebesgue measure | the Dedekind system the uniqueness theorems the Riemann-Stieltjes integral | |
| 4. | Absolutely continuous measures and singular measures | L-spaces |
Instructions for students on how to achieve the learning outcomes
The grade of the course is based on the final exam or two partial exams. When the points for the final exam or the partial exams are 30% of the maximum, the grade of the course may be improved by bonus points collected from the instructed exercises and homework. The passing limit is 50% of the maximum. If the student is mastering the concepts, results, short proofs and examples type of problems the evaluation is 3. For the grade 4 the student should in addition to the previous level be able to independently apply theory more. For the grade 5 the student should independently deduce results, invent solutions and compare results more than in the previous levels.
Assessment scale:
Numerical evaluation scale (1-5) will be used on the course
Partial passing:
Study material
| Type | Name | Author | ISBN | URL | Edition, availability, ... | Examination material | Language |
| Book | Real analysis | Royden, H.L. | No | English | |||
| Summary of lectures | Lebesgue measure and integration | S.-L. Eriksson | Available from Moodle | Yes | English |
Prerequisites
| Course | Mandatory/Advisable | Description |
| MAT-01160 Honours Mathematics 1 | Advisable | |
| MAT-01260 Honours Mathematics 2 | Advisable | |
| MAT-01360 Honours Mathematics 3 | Advisable | |
| MAT-01460 Honours Mathematics 4 | Advisable | |
| MAT-60206 Mathematical Analysis | Advisable | |
| MAT-61256 Geometric Analysis | Advisable |
Prerequisite relations (Requires logging in to POP)
Correspondence of content
| Course | Corresponds course | Description |
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More precise information per implementation
| Implementation | Description | Methods of instruction | Implementation |
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Contact teaching: 0 % Distance learning: 0 % Self-directed learning: 0 % |