National Institute of Technology Rourkela

राष्ट्रीय प्रौद्योगिकी संस्थान राउरकेला

ଜାତୀୟ ପ୍ରଯୁକ୍ତି ପ୍ରତିଷ୍ଠାନ ରାଉରକେଲା

An Institute of National Importance

Syllabus

Course Details

Subject {L-T-P / C} : MA5123 : Fractals { 3-0-0 / 3}

Subject Nature : Theory

Coordinator : Sangita Jha

Syllabus

Module 1 :

Module 1 (8 hours) Review of basic metric spaces, Hausdorff metric, Transformation on metric spaces, Contraction mapping, The contraction mapping theorem, The space of fractals, Classical fractals.
Module 2 (10 hours) Iterated function system, Attractor, Construction of fractals, Collage theorem, Self-similarity.
Introduction to dynamical systems, The address of points on fractals, Equivalent dynamical systems, Chaotic dynamics on fractals, Code space.
Module 3 (10 hours) Fractal dimension, Hausdorff Measure, Properties of box and Hausdorff dimension, Dimension of self-similar fractals, measure on fractals.
Module 4 (8 hours) Construction of fractal interpolation functions, Fractal dimension of fractal interpolation functions, Fractal splines, Fractal Surfaces.

Course Objective

1 .

To give a better perspective and understanding of the general area of fractal geometry and its relationship to other aspects of analysis, geometry and dynamical systems

2 .

To study the properties of several fractal dimensions

3 .

To develop skills and techniques that will allow them to study many areas where Fractal Geometry plays a role, including analytic number theory, engineering, and ergodic theory

4 .

To introduce the construction of fractals, fractal functions, surfaces and dynamics on fractals

Course Outcome

1 .

CO1: Students will be familiar with the different constructions of fractal sets, including several explicit constructions, and the different notions of dimension available to describe them.
CO2: Students will learn to construct fractals and the chaotic dynamics of fractals.
CO3: Students will learn several fractal dimension techniques.
CO4: Students will learn to construct fractal functions and their dimensions.
CO5: They will be able to approximate irregular structures and non-smooth functions.

Essential Reading

1 .

Michael F. Barnsley, Fractals Everywhere, Academic Press , 1988

2 .

K. Falconer, , Fractal geometry: mathematical foundations and applications, Wiley , 2003

Supplementary Reading

1 .

Gerald A. Edger, Measure Topology, and Fractal Geometry, Springer-Verlag , 1990

2 .

. Heinz O. Peitgen, Hartmut Jürgens, Dietmar Saupe, Chaos and Fractals, New Frontiers of Science, Springer , 2004