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最終更新日:2021/01/05  

0AL0304   Advanced Course on Mathematical Model Analysis

2.0 Credits, 1, 2 Year, SprABTue5,6
Akitoshi TAKAYASU

Overview

This lecture introduces a risk verification method by numerical computations of nonlinear mathematical models and a rigorous numerical method to control the risk in numerical computations. Representing phenomena by mathematical models and predicting them by computer simulations are widely used methods for analyzing phenomena, but if the reproducibility of phenomena by mathematical models cannot be verified, unexpected risks are inherent in the analysis of phenomena. In this lecture, as a familiar method of verifying the reliability of mathematical models, each method of simulation using numerical computation is introduced. In particular, we focus on the errors in numerical computation, and discuss "rigorous numerics", which is a numerical computation method that gives correct results by taking account of all errors that occur in numerical computation.

Remarks

Identical to 01CF407.

Course Type

lectures

Relation to Degree Program Competences

The general competence of the degree program is related to "1. ability to utilize knowledge," the specialized competence of the degree program is related to "1. basic engineering skills," "2. knowledge of basic theories and related technologies," "3. knowledge of actual problems," and "4. broad perspective and bird's eye view," and the research group competence is related to "1. The research group competence is related to "1. research ability" and "2. expertise.

Course Objectives(Learning Outcomes)

Representation of phenomena around us by mathematical models and their predictions by computer simulations are widely used methods for analyzing phenomena. However, if the reproducibility of the phenomena cannot be verified by the mathematical models, unexpected risks will be inherent in the analysis of the phenomena. Therefore, in this lecture, as a familiar method of verifying the reliability of mathematical models, each method of simulation using numerical computation is introduced. In particular, we pay attention to the errors in numerical computation, and discuss "rigorous numerics", which is a numerical computation method that gives correct results by taking account of all errors that occur in numerical computation.

Course Keywords

numerical analysis, rigorous numerics, infinite-dimensional dynamical systems

Class Schedule

The following topics will be outlined in each lecture. In order to deepen the understanding of the contents of the lecture, exercises with report assignments and group work by students will be conducted as needed.

1. Overview -validating mathematical models-
2. Banach space, fixed-point theorem, tsimplified newton operators
3. Risk in numerical computations (floating-point number, interval arithmetic)
4. Validating periodic orbits of delay differential equations I
5. Validating mathematical models using rigorous numerics
6. Risk in numerical computations (floating-point numbers, interval arithmetic)
7. Validating periodic solutions via Fourier series
8. Validating periodic solutions of delay differential equations I
9. Validating periodic solutions of delay differential equations II
10. Validating mathematical models using rigorous numerics

Course Prerequisites

Grading Philosophy

Students will be judged on a 1:2 ratio of performance on the exercises and the final exam. Students who pass the exam with an overall score of 60% or higher are considered to be successful.

Course Hours Breakdown and Out-of-Class Learning

Textbooks, References,and Supplementary Materials

Textbook
Handouts will be distributed as necessary. Lecture materials will be available on the web.

Reference books
Fundamentals of Numerical Computation with Guaranteed Accuracy, edited by Shin-ichi Oishi, Corona Publishing, 2018, ISBN 978-4-339-02887-4
Numerical Computation with Guaranteed Accuracy," M. Nakao and Y. Watanabe, Science, 2011. 3.
Numerical Computation with Guaranteed Accuracy," by Shin-ichi Oishi, Corona Publishing, 2000.

Others are presented during the lecture.

Office Hours and Contact Information

SB0706
As needed (Please contact us by e-mail in advance)

高安 亮紀  

Other(Behavioral expectations and points to note for students during coursework)

In this lecture, we try to bridge the gap from the basic knowledge to the state-of-the-art research results, so that the students can learn the analysis methods of mathematical models using numerical computation with their hands. We will start from the basic knowledge and sublimate the topics to the most advanced research subjects.

Relation to Other Courses

Teaching Fellow and/or Teaching Assistant

TA assignment available (1 person)