This document discusses different types of fractals including the Koch snowflake, Sierpinski triangle, Pythagorean tree, and Mandelbrot set. It provides definitions of fractals and outlines their key properties like self-similarity and infinite complexity. Construction methods are described for different fractals along with examples and references to online animations showing their self-similar patterns. Applications of fractals are also briefly mentioned.
Many computer graphics and Image Processing effects owe much of their realism to the study of fractals and noise. This short tutorial is based on over a decade of teaching and research interests, and will take a journey from the motion of a microscopic particle to the creation of imaginary planets.
Further resources at:
http://wiki.rcs.manchester.ac.uk/community/Fractal_Resources_Tutorial
A discussion on the theory behind fractals, several different examples and applications of fractals in modern day life. This discusses the Coastline Paradox, Image Compression and uses within Creative Media
Fractals are the mathematical explanation of our world. Knowledge of fractals is essential to everyone's experience of their world. Here, I have explained the concept of fractals.
Many computer graphics and Image Processing effects owe much of their realism to the study of fractals and noise. This short tutorial is based on over a decade of teaching and research interests, and will take a journey from the motion of a microscopic particle to the creation of imaginary planets.
Further resources at:
http://wiki.rcs.manchester.ac.uk/community/Fractal_Resources_Tutorial
A discussion on the theory behind fractals, several different examples and applications of fractals in modern day life. This discusses the Coastline Paradox, Image Compression and uses within Creative Media
Fractals are the mathematical explanation of our world. Knowledge of fractals is essential to everyone's experience of their world. Here, I have explained the concept of fractals.
Revolution of Dignity in Ukraine: Visual Fractals of National Self-organizationОлена Семенець
The fractal nature of visual organization of socio-cultural space in Ukrainian cities during the Revolution of Dignity and external aggression (2013–2016) is analyzed. National symbols (the State Coat of Arms and the Flag, traditional folk embroidery) are considered as socio-cultural patterns that permeate all levels of the system organization. These socio-cultural fractals, i.e. self-similar objects, in which a part contains information about a whole object, are the features of powerful processes of social system self-organization.
Chaos theory is a mathematical field of study which states that non-linear dynamical systems
that are seemingly random are actually deterministic from much simpler equations. The
phenomenon of Chaos theory was introduced to the modern world by Edward Lorenz in 1972
with conceptualization of ‘Butterfly Effect’. As chaos theory was developed by inputs of
various mathematicians and scientists, it found applications in a large number of scientific
fields.
The purpose of the project is the interpretation of chaos theory which is not as familiar as
other theories. Everything in the universe is in some way or the other under control of Chaos
or product of Chaos. Every motion, behavior or tendency can be explained by Chaos Theory.
The prime objective of it is the illustration of Chaos Theory and Chaotic behavior.
This project includes origin, history, fields of application, real life application and limitations
of Chaos Theory. It explores understanding complexity and dynamics of Chaos.
Deep into to Deep Learning Starting from BasicsPlusOrMinusZero
This presentation provides an introduction to the deeper aspects of deep learning starting from basics. The first part of the presentation begins with the definition of an artificial neuron and goes up to a description of the back-propagation algorithm. The second part deals with autoencoders, convolutional neural networks and allied concepts. In the third part, the deeper aspects of the deep learning methodology are presented by discussing special algorithms LeNet, AlexNet, GoogLeNet and FaceNet.
The Untold Story of Indian Origins of ClaculusPlusOrMinusZero
This presentation explores the story of Indian origins of calculus which is not usually told in traditional school/college mathematics textbooks in India. It traces the story in three steps: The idea that calculus had its origins in India also gets proposed, the idea gets traction and finally the idea obtains approval from international mathematical community. Then, the presentation gives a glimpse of the calculus related concepts found in indigenous Indian mathematical literature like Aryabhatiya, Yuktibhasha, etc.
Preseenting Vidya Mobile (An Android app for VAST)PlusOrMinusZero
This is the slideshow used on the occasion of the launching of the Android app "Vidya Mobile", an app created as a mobile platform for Vidya Academy of Science & Technology (VAST), Thissur-680501, Kerala, India. It appears that, as on the launching of "Vidya Mobile", no other similar college in Kerala (probably in India) has developed such a mobile app. VAST is the the first educational institution in Kerala (probably in India) to have such a comprehensive mobile app. This slideshow is released to the public in the hope that it might help other educational institutions in developing their own mobile apps
On Sangamagrama Madhava's (c.1350 - c.1425) Algorithms for the Computation of...PlusOrMinusZero
Sangamagrama Madhava was an astronomer/mathematician who flourished during the fourteenth century CE in Kerala, India. He is credited with the discovery of the power series expansions of the sine and cosine functions. These slides present a closer look at the algorithms and methods used by Madhava to compute the values of the sine and cosine functions.
World environment day 2010 vidya academy mca renjith sankarPlusOrMinusZero
A prize winning entry in a two-hour slide-show preparation contest organised as part of the observance of WORLD ENVIRONMENT DAY 2010 in the Department of Computer Applications, Vidya Academy of science and Technology, Thrissur, India.
World environment day 2010 vidya academy mca steffi lazarPlusOrMinusZero
A prize winning entry in a two-hour slide-show preparation contest organised as part of the observance of WORLD ENVIRONMENT DAY 2010 in the Department of Computer Applications, Vidya Academy of science and Technology, Thrissur, India.
This presentation gives a brief overview of the capabilities of software packages known as 'computer algebra systems'. The stress is on symbolic and graphic computations. Maple is used as a vehicle to illustrate the concepts.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
Francesca Gottschalk from the OECD’s Centre for Educational Research and Innovation presents at the Ask an Expert Webinar: How can education support child empowerment?
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
Safalta Digital marketing institute in Noida, provide complete applications that encompass a huge range of virtual advertising and marketing additives, which includes search engine optimization, virtual communication advertising, pay-per-click on marketing, content material advertising, internet analytics, and greater. These university courses are designed for students who possess a comprehensive understanding of virtual marketing strategies and attributes.Safalta Digital Marketing Institute in Noida is a first choice for young individuals or students who are looking to start their careers in the field of digital advertising. The institute gives specialized courses designed and certification.
for beginners, providing thorough training in areas such as SEO, digital communication marketing, and PPC training in Noida. After finishing the program, students receive the certifications recognised by top different universitie, setting a strong foundation for a successful career in digital marketing.
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
1. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Why I Love Fractals?
Dr V N Krishnachandran
Why I Love Fractals
2. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Why I Love Fractals?
Why I Love Fractals!
Dr V N Krishnachandran
Vidya Academy of Science & Technology
Thalakkottukara, Thrissur - 680501
Dr V N Krishnachandran
Why I Love Fractals
3. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Outline
1 Definition
2 van Koch Snowflake
3 Sierpinski fractals
4 Pythagorean tree
5 Mandelbrot set
6 Newton-Raphson fractals
7 Natural fractals
8 Applications
Dr V N Krishnachandran
Why I Love Fractals
4. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Definition
What is a fractal?
Dr V N Krishnachandran
Why I Love Fractals
5. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
What is a fractal?
A fractal is a mathematical set or a natural
phenomenon with infinite complexity and
approximate self-similarity at any scale.
Dr V N Krishnachandran
Why I Love Fractals
6. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
What is a fractal?
Let us see examples.
Dr V N Krishnachandran
Why I Love Fractals
7. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
What is a fractal?
Romanesco Broccoli : This variant form of cauliflower is a natural
fractal (see detail in next slide).
Dr V N Krishnachandran
Why I Love Fractals
8. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
What is a fractal?
Romanesco Broccoli : Detail
Dr V N Krishnachandran
Why I Love Fractals
9. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Fractal 1: van Koch snowflake
Fractal 1: van Koch snowflake
A curve resembling a snowflake
A real snowflake
Dr V N Krishnachandran
Why I Love Fractals
10. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Fractal 1: van Koch snowflake
Construction of the curve.
Dr V N Krishnachandran
Why I Love Fractals
11. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Fractal 1: van Koch snowflake
Step 1
Dr V N Krishnachandran
Why I Love Fractals
12. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Fractal 1: van Koch snowflake
Dr V N Krishnachandran
Why I Love Fractals
13. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Fractal 1: van Koch snowflake
Step 2
Dr V N Krishnachandran
Why I Love Fractals
14. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Fractal 1: van Koch snowflake
Step 3
Dr V N Krishnachandran
Why I Love Fractals
15. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Fractal 1: van Koch snowflake
Step 4
Dr V N Krishnachandran
Why I Love Fractals
16. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Fractal 1: van Koch snowflake
Step 5
Dr V N Krishnachandran
Why I Love Fractals
17. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Fractal 1: van Koch snowflake
. . . and continue without stopping . . .
Dr V N Krishnachandran
Why I Love Fractals
18. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Fractal 1: van Koch snowflake
Self similarity of van Koch snowflake
Dr V N Krishnachandran
Why I Love Fractals
19. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Fractal 1: van Koch snowflake
Here is a website with animation showing
the self-similarity of van Koch snowflake.
https://www.tumblr.com/search/koch+snowflake
Dr V N Krishnachandran
Why I Love Fractals
20. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Fractal 1: van Koch snowflake
Step Length of Number of Perimeter
Number a segment segments
1 a 3 3a
2 a/3 4 × 3 = 12 12 × (a/3)
3 a/9 4 × 12 = 48 48 × (a/9)
4 a/27 4 × 48 = 192 192 × (a/27)
· · · · · · · · · · · ·
n a/3n−1 4 × 3n−1a 3 × (4/3)n−1a
Perimeter −→ ∞ as n −→ ∞.
Dr V N Krishnachandran
Why I Love Fractals
21. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Fractal 1: van Koch snowflake
Area bounded by the snowflake
=
(8/5) × area of initial triangle
Dr V N Krishnachandran
Why I Love Fractals
22. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Fractal 2: Sierpinski triangle
Fractal 2 : Sierpinski triangle
Dr V N Krishnachandran
Why I Love Fractals
23. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Fractal 2: Sierpinski triangle
Construction of the fractal.
Dr V N Krishnachandran
Why I Love Fractals
24. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Fractal 2: Sierpinski triangle
. . . and continue without stopping
Dr V N Krishnachandran
Why I Love Fractals
25. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Fractal 2: Sierpinski triangle
Wikipedia page on Sierpinski triangle has an animation
showing the construction of the Sierpinski triangle.
Dr V N Krishnachandran
Why I Love Fractals
26. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Fractal 2: Sierpinski triangle
Here is an animation showing
the self-similarity of Sierpinski triangle.
http://www.lutanho.net/fractal/sierpa.html
Dr V N Krishnachandran
Why I Love Fractals
27. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Fractal 3: Sierpinski tetrahedron
Fractal 3: Sierpinski tetrahedron
Dr V N Krishnachandran
Why I Love Fractals
28. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Fractal 3: Sierpinski tetrahedron
Construction of the fractal.
Dr V N Krishnachandran
Why I Love Fractals
29. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Fractal 3: Sierpinski tetrahedron
Steps 1, 2
Dr V N Krishnachandran
Why I Love Fractals
30. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Fractal 3: Sierpinski tetrahedron
Steps 2, 3
Dr V N Krishnachandran
Why I Love Fractals
31. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Fractal 3: Sierpinski tetrahedron
Step 6, and continue without stopping
Dr V N Krishnachandran
Why I Love Fractals
32. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Fractal 4: Pythagorean tree
Fractal 4: Pythagorean tree
Dr V N Krishnachandran
Why I Love Fractals
33. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Fractal 4: Pythagorean tree
Construction of the fractal.
Dr V N Krishnachandran
Why I Love Fractals
34. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Fractal 4: Pythagorean tree
Steps 1, 2
Dr V N Krishnachandran
Why I Love Fractals
35. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Fractal 4: Pythagorean tree
Steps 3, 4 and continue without stopping to get the
image shown in the next slide (with added colors).
Dr V N Krishnachandran
Why I Love Fractals
36. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Fractal 4: Pythagorean tree
Dr V N Krishnachandran
Why I Love Fractals
37. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Fractal 4: Pythagorean tree
Modifications to Pythagorean tree
Dr V N Krishnachandran
Why I Love Fractals
38. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Fractal 4: Pythagorean tree
Dr V N Krishnachandran
Why I Love Fractals
39. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Fractal 4: Pythagorean tree
Dr V N Krishnachandran
Why I Love Fractals
40. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
The complex world!
Dr V N Krishnachandran
Why I Love Fractals
41. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
The Mandelbrot set
Dr V N Krishnachandran
Why I Love Fractals
42. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Fractal 5: Mandelbrot set
Dr V N Krishnachandran
Why I Love Fractals
43. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Fractal 5: Mandelbrot set
Mandelbrot set discovered by
Benoit Mandelbrot in 1979.
Dr V N Krishnachandran
Why I Love Fractals
44. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Fractal 5: Mandelbrot set
The mathematics of Mandelbrot set
Dr V N Krishnachandran
Why I Love Fractals
45. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Fractal 5: Mandelbrot set
Consider the iteration scheme:
zn+1 = z2
n + c
Dr V N Krishnachandran
Why I Love Fractals
46. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Fractal 5: Mandelbrot set
1 Choose a fixed value for c, say, c = 1 + i.
2 Mark the point represented by c in the complex plane.
3 Let z0 = 0.
4 Compute z1, z2, z3, . . . as follows:
z1 = z2
0 + c
z2 = z2
1 + c
z3 = z2
2 + c
· · ·
5 If the values z1, z2, z3, . . . increases indefinitely, mark the point
c with red color.
Otherwise, mark the point c with blue color.
6 Repeat this by choosing different points in the complex plane.
7 The blue colored region is the Mandelbrot set.
Dr V N Krishnachandran
Why I Love Fractals
47. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Fractal 5: Mandelbrot set
We can use a computer program to generate the
Mandelbrot set.
The Mandelbrot set obtained by computing z1, z2, . . . pixel by
pixel, starting with z0 = 0. If the values do not go to infinity after
a large number of iterations the present pixel value is in the
Mandelbrot set and is then colored blue. If the sequence diverge
then the pixel is colored red.
Sometimes, the pixel is colored according to how fast the
divergence is.
Dr V N Krishnachandran
Why I Love Fractals
48. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Fractal 5: Mandelbrot set
Dr V N Krishnachandran
Why I Love Fractals
49. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Fractal 6 : Newton-Raphson fractals
Fractal 6 : Newton-Raphson
fractals
Dr V N Krishnachandran
Why I Love Fractals
50. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Fractal 6 : Newton-Raphson fractals
Dr V N Krishnachandran
Why I Love Fractals
51. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Fractal 6 : Newton-Raphson fractal
We consider the Newton-Raphson fractal corresponding to the
equation
f (z) ≡ z3
− 1 = 0.
The roots of this equation are 1, 1
2(−1 + i
√
3), 1
2(−1 − i
√
3).
Dr V N Krishnachandran
Why I Love Fractals
52. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Fractal 6 : Newton-Raphson fractal
Newton-Raphson method.
1 Choose an initial approximation z0 to a root.
2 Compute z1, z2, . . . by
zn+1 = zn −
f (zn)
f (zn)
= zn −
z3
n − 1
3z2
n
3 The numbers z1, z2, . . . approach a root.
Dr V N Krishnachandran
Why I Love Fractals
53. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Fractal 6 : Newton-Raphson fractal
1 Choose a fixed complex number c. Mark the point c in the
complex plane.
2 Let z0 = c.
3 Compute z1, z2, . . . using the formula zn+1 = zn −
z3
n − 1
3z2
n
.
4 If z0, z1, z2, . . . approach 1, color the point c red.
If z0, z1, z2, . . . approach 1
2 (−1 + i
√
3), color the point c green.
If z0, z1, z2, . . . approach 1
2 (−1 − i
√
3), color the point c blue.
5 Repeat this by choosing various points in the complex plane.
6 The resulting figure is the Newton-Raphson fractal
corres-ponding to the equation z3 − 1 = 0 (see next slide).
Dr V N Krishnachandran
Why I Love Fractals
54. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Fractal 6 : Newton-Raphson fractals
Dr V N Krishnachandran
Why I Love Fractals
55. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Fractal 6 : Newton-Raphson fractal
The equation
z4
+ z3
− 1 = 0
produces the fractal shown in the next slide.
Dr V N Krishnachandran
Why I Love Fractals
56. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Fractal 6 : Newton-Raphson fractal
Dr V N Krishnachandran
Why I Love Fractals
57. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Software
We can explore the complexity of the Mandelbrot set, the
Newton-Raphson fractal and many others using the Xaos program
available at: http://matek.hu/xaos/doku.php
Dr V N Krishnachandran
Why I Love Fractals
58. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Into the natural world!
Dr V N Krishnachandran
Why I Love Fractals
59. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Fractal 7 : Natural fractals
Romanesco Broccoli : This variant form of cauliflower is the
ultimate fractal vegetable (see detail in next slide).
Dr V N Krishnachandran
Why I Love Fractals
60. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Fractal 7 : Natural fractals
Romanesco Broccoli : Detail
Dr V N Krishnachandran
Why I Love Fractals
61. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Fractal 7 : Natural fractals
Oak tree, formed by a sprout branching, and then each of the
branches branching again, etc.
Dr V N Krishnachandran
Why I Love Fractals
62. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Fractal 7 : Natural fractals
River network in China, formed by erosion from repeated rainfall
flowing downhill for millions of years.
Dr V N Krishnachandran
Why I Love Fractals
63. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Fractal 7 : Natural fractals
Our lungs are branching fractals with a surface area of
approximately 100 m2.
Dr V N Krishnachandran
Why I Love Fractals
64. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Fractal 7 : Natural fractals
The plant kingdom is full of spirals. An agave cactus forms its
spiral by growing new pieces rotated by a fixed angle.
Dr V N Krishnachandran
Why I Love Fractals
65. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
What are fractals useful for?
Dr V N Krishnachandran
Why I Love Fractals
66. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Applications of fractals
Fractal antennas
A fractal antenna is an antenna that uses a fractal, self-similar
design to maximize the length, or increase the perimeter of
material that can receive or transmit electromagnetic radiation
within a given total surface area or volume.
Dr V N Krishnachandran
Why I Love Fractals
67. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Applications of fractals
Fractal compression
Fractals have been used for developing algorithms for image
compression.
Dr V N Krishnachandran
Why I Love Fractals
68. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Applications of fractals
Fractal compression
Natural fern leaves (left) and fractal generated fern leaves (right)
Dr V N Krishnachandran
Why I Love Fractals
69. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Applications of fractals
Dr V N Krishnachandran
Why I Love Fractals
70. Definition Snowflake Sierpinski fractals Pythagorean tree Mandelbrot set Newton fractals Natural fractals Applications
Thanks for patient hearing.
Dr V N Krishnachandran
Why I Love Fractals