“I hear, I forget. I see, I remember. I do, I understand.” (Chinese proverb that was a favorite of Moore’s. Quoted in Halmos, P.R. (1985) I want to be a mathematician: an automathography. Springer-Verlag: 258)

“I hear, I forget. I see, I remember. I do, I understand.” (Chinese proverb that was a favorite of Moore’s. Quoted in Halmos, P.R. (1985) I want to be a mathematician: an automathography. Springer-Verlag: 258)

The Moore method is a deductive manner of instruction used in advanced mathematics courses. It is named after Robert Lee Moore, a famous topologist who first used a stronger version of the method at the University of Pennsylvania when he began teaching there in 1911.

Source: http://en.wikipedia.org/wiki/Moore_method

Information about Mathematics Department Courses (Nanyang JC)

Source: http://nanyangjc.org/index.php/staff/organisation-chart/mathematics-department/

H1 Mathematics

H1 Mathematics provides a foundation in mathematics for students who intend to enrol in university courses such as business, economics and social sciences. The syllabus aims to develop mathematical thinking and problem solving skills in students. A major focus of the syllabus will be the understanding and application of basic concepts and techniques of statistics. This will equip students with the skills to analyse and interpret data, and to make informed decisions. The use of graphic calculator is expected.

H2 Mathematics

H2 Mathematics prepares students adequately for university courses including mathematics, physics and engineering, where more mathematics content is required. The syllabus aims to develop mathematical thinking and problem solving skills in students. Students will learn to analyse, formulate and solve different types of problems. They will also learn to work with data and perform statistical analyses. The use of graphic calculator is expected.

This subject assumes the knowledge of O-Level Additional Mathematics.

Continue reading at http://nanyangjc.org/index.php/staff/organisation-chart/mathematics-department/

Carl Friedrich Gauss

Source: http://en.wikipedia.org/wiki/Carl_Friedrich_Gauss

Johann Carl Friedrich Gauss (/ɡs/; German: Gauß, pronounced [ɡaʊs] ( listen); Latin: Carolus Fridericus Gauss) (30 April 1777 – 23 February 1855) was a German mathematician and physical scientist who contributed significantly to many fields, including number theory, algebra, statistics, analysis, differential geometry, geodesy, geophysics, electrostatics, astronomy and optics.

Sometimes referred to as the Princeps mathematicorum[1] (Latin, “the Prince of Mathematicians” or “the foremost of mathematicians”) and “greatest mathematician since antiquity“, Gauss had a remarkable influence in many fields of mathematics and science and is ranked as one of history’s most influential mathematicians.[2]

Carl Friedrich Gauss.jpg

Continue reading at http://en.wikipedia.org/wiki/Carl_Friedrich_Gauss

अगले साल शुरू करने के लिए गणित समूह ट्यूशन क्लास, 2014.

अगले साल शुरू करने के लिए गणित समूह ट्यूशन क्लास, 2014.
गणित शिक्षण केंद्र

Gotthold Eisenstein (Mathematician)

Gotthold Eisenstein (Mathematician)

*Not Einstein!

Ferdinand Gotthold Max Eisenstein (16 April 1823 – 11 October 1852) was a German mathematician. He specialized in number theory and analysis, and proved several results that eluded even Gauss. Like Galois and Abel before him, Eisenstein died before the age of 30. He was born and died in Berlin, Prussia.

Gauss … in conversation once remarked that, there had been only three epoch-making mathematicians: Archimedes, Newton, and Eisenstein.

Source: http://en.wikipedia.org/wiki/Gotthold_Eisenstein

Gotthold Eisenstein.jpeg

Number Theory Notes – Art of Problem Solving

Source: http://www.artofproblemsolving.com/Resources/Papers/SatoNT.pdf

Excellent notes on Olympiad Number Theory!

Preface:

This set of notes on number theory was originally written in 1995 for students

at the IMO level. It covers the basic background material that an IMO

student should be familiar with. This text is meant to be a reference, and

not a replacement but rather a supplement to a number theory textbook;

several are given at the back. Proofs are given when appropriate, or when

they illustrate some insight or important idea. The problems are culled from

various sources, many from actual contests and olympiads, and in general

are very difficult. The author welcomes any corrections or suggestions.

 

Khan Academy

tomcircle's avatarMath Online Tom Circle

I find Khan Linear Algebra video excellent. The founder / teacher Sal Khan has the genius to explain this not-so-easy topic in modular videos steps by steps, from 2-dimensional vectors to 3-dimensional, working with you by hand to compute eigenvalues and eigenvectors, and show you what they mean in graphic views.

If you are taking Linear Algebra course in university, or revising it, just go through all the Khan’s short (5-20 mins) videos on Linear Algebra here:

In 138 lessons sequence:

http://theopenacademy.com/content/linear-algebra-khan-academy

or random revision:

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Advice to Students

Source: http://www.math.union.edu/~dpvc/courses/advice/welcome.html

Advice to Students:

Over the years, I have collected some information that I hope will help  students, particularly beginning math students, to improve their study  and learning habits.  An important part of what you learn at college is  how to learn, so that you can carry that on for the rest of your  life.  Find out what works for you and what doesn’t.

These observations are centered around first-year calculus courses, so not  everything may apply to you, but even more advanced students can benefit  from some of them.

As you develop your own learning habits, please think carefully about the  following topics:

Continue reading at http://www.math.union.edu/~dpvc/courses/advice/welcome.html

Singapore Maths Tuition Class

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Student Advice: Comments on Perseverance

Source: http://www.math.union.edu/~dpvc/courses/advice/perseverance.html

Comments on Perseverance:

One source of confusion for students when they reach college and begin to  do college-level mathematics is this:  in high school, it is usually pretty  apparent what formula or technique needs to be applied, as much of the  material in high school is computational or procedural.  In college,  however, mathematics becomes more conceptual, and it is much harder to  know what to do when you first start a problem.  As a consequence of this,  many students give up on a problem too early.

If you don’t immediately know how to attack a problem, this doesn’t mean you  are stupid,


If you already know how to do it, it’s not  really a problem.

or that you don’t understand what’s going on; that’s just how  real problems work.  After all, if you already know how to do it, it’s not  really a problem, is it?  You should expect to be confused at first.   There’s no way you can know ahead of time how to solve every problem that  you will face in life.  You’re only hope, and therefore your goal as a  student, is to get experience with working through hard problems on your  own.  That way, you will continue to be able to do so once you leave  college.

One of the first steps in this is to realize that not knowing how, and the  frustration that accompanies that, is part of the process.  Then you have  to start to figure out the questions that you can ask to help you to break  down the problem, so that you can figure out how it really works.  What’s  really important in it?  What is the central concept?  What roles do the  definitions play?  How is this related to other things I know?

Continue reading at http://www.math.union.edu/~dpvc/courses/advice/perseverance.html

Relationship-Mapping-Inverse (RMI)

tomcircle's avatarMath Online Tom Circle

Relationship-Mapping-Inverse (RMI)
(invented by Prof Xu Lizhi 徐利治 中国数学家 http://baike.baidu.com/view/6383.htm)

Find Z = a*b

By RMI Technique:
Let f Homomorphism: f(a*b) = f(a)+f(b)

Let f = log
log: R+ –> R
=> log (a*b) = log a + log b

1. Calculate log a (=X), log b (=Y)
2. X+Y = log (a*b)
3. Find Inverse log (a*b)
4. ANSWER: Z = a*b

Prove:

$latex \sqrt{2}^{\sqrt{2}^{\sqrt{2}}}= 2$

1. Take f = log for Mapping:
$latex \log\sqrt{2}^{\sqrt{2}^{\sqrt{2}}} $
$latex = \sqrt{2}\log\sqrt{2}^{\sqrt{2}}$
$latex = \sqrt{2}\sqrt{2}\log\sqrt{2} $
$latex = 2\log\sqrt{2} $
$latex = \log (\sqrt{2})^2 $
$latex = \log 2$

2. Inverse of log (bijective):
$latex \log \sqrt{2}^{\sqrt{2}^{\sqrt{2}}}= \log 2$
$latex \sqrt{2}^{\sqrt{2}^{\sqrt{2}}}= 2$

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Famous Nonmathematicians who studied Mathematics

This is a list of Famous Nonmathematicians who studied Mathematics, featuring Singapore’s Prime Minister, Lee Hsien Loong, with first class honours in mathematics from Trinity College, University of Cambridge.

Source: http://www.math.uh.edu/~tomforde/famous.html

We often tell our students that there are many things besides teaching and actuarial work that they can do with a degree in mathematics, but they often don’t believe us. Here is a list of well-known people who were math majors (or some equivalent in other countries and times), although not all of them completed their degrees.

THE PUBLIC REALM
•Ralph Abernathy, civil rights leader and Martin Luther King’s closest aide.

•Corazon Aquino, former President of the Philippines. She was a math minor at the College of Mt. St. Vincent.

•Harry Blackmun, Associate Justice of the US Supreme Court, AB summa cum laude in mathematics at Harvard.

•Simeon DeWitt, was the first math major at Rutgers. He became General George Washington’s Chief Geographer in the Revolutionary War. His maps of Yorktown helped win the final battle of that war. Afterwards (1784-1834) he was the Surveyor General for New York State; he helped to plan the Erie Canal, and to develop the grid system of streets and avenues in New York City, among other things.

•David Dinkins, Mayor of New York, BA in mathematics from Howard.

•Alberto Fujimori, President of Peru, MS in mathematics from the University of Wisconsin-Milwaukee.

•Ira Glasser, Executive Director of the American Civil Liberties Union, both a BS and an MA.

•Lee Hsien Loong, Deputy Prime Minister of Singapore, a Bachelor’s from Cambridge.

Read more at http://www.math.uh.edu/~tomforde/famous.html

Prof Su Buqing Problem

tomcircle's avatarMath Online Tom Circle

Prof Su 苏步青, the founding pioneer Math professor of the China’s top universities (Zhejiang 浙江大学 and Fudan 复旦大学), was one of the few mathematicians who had longevity above 100 years old (the other was French Mathematician Hadammard).

http://en.m.wikipedia.org/wiki/Su_Buqing

Two men A and B are 100 km apart, walking towards each other, A at speed 6 km/hour and B at 4 km/hour.
A brings a dog which runs at 10 km/hour between them,  starting from A towards B, upon reaching B it runs back to reach A, then back to B again, and so on…

Find total distance the dog has covered when A and B finally meet ?

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学好数理化,走遍天下都不怕。

Study mathematics, physics, and chemistry well. Then no matter where you go, you will fear nothing!

Ancient Chinese Proverb

Source: http://www.liuxue86.com/a/1133118.html

美国留学打工 “学好数理化,走遍天下都不怕。”在美国一样适用

美国人口普查局的最新报告显示:同样是学士学位,按工作40年计算,工程专业的毕业生比教育学的毕业生多赚160万美元。真可谓是“男怕入错行,女怕嫁错郎。”

根据美国人口普查局最新发布的2011年社区调查报告,美国具有学士学位的大学毕业证全职工作的人每年中位薪资收入是64396美元,这些人既包括新毕业的大学生,也包括那也干的一辈子最高学位是学士的全职工作者。其中工程专业的薪资最高,平均每年高达91611美元,电脑与数学专业排第二位,年均80180美元,物理、化学、医学等自然科学专业薪水也不错,以80037美元排第三位。在另一个极端视觉和表演艺术专业薪水最低,平均一年只有50484美元,教育专业只有50902美元,心理学专业为55509美元,列倒数前三名,由此可以推算出来从事工程专业工作的人平均每年比从事表演艺术专业的人多挣4万美元,以一个人工作40年计算整个职业生涯收入平均相差160万美元,差距还是很惊人的。

The Riemann hypothesis in various settings

Terence Tao's avatarWhat's new

[Note: the content of this post is standard number theoretic material that can be found in many textbooks (I am relying principally here on Iwaniec and Kowalski); I am not claiming any new progress on any version of the Riemann hypothesis here, but am simply arranging existing facts together.]

The Riemann hypothesis is arguably the most important and famous unsolved problem in number theory. It is usually phrased in terms of the Riemann zeta function $latex {\zeta}&fg=000000$, defined by

$latex \displaystyle \zeta(s) = \sum_{n=1}^\infty \frac{1}{n^s}&fg=000000$

for $latex {\hbox{Re}(s)>1}&fg=000000$ and extended meromorphically to other values of $latex {s}&fg=000000$, and asserts that the only zeroes of $latex {\zeta}&fg=000000$ in the critical strip $latex {\{ s: 0 \leq \hbox{Re}(s) \leq 1 \}}&fg=000000$ lie on the critical line $latex {\{ s: \hbox{Re}(s)=\frac{1}{2} \}}&fg=000000$.

One of the main reasons that the Riemann hypothesis is so important to number theory is that the zeroes of…

View original post 12,730 more words

Does one have to be a genius to do maths?

Source: http://terrytao.wordpress.com/career-advice/does-one-have-to-be-a-genius-to-do-maths/

Better beware of notions like genius and inspiration; they are a sort of magic wand and should be used sparingly by anybody who wants to see things clearly. (José Ortega y Gasset, “Notes on the novel”)

Does one have to be a genius to do mathematics?

The answer is an emphatic NO.  In order to make good and useful contributions to mathematics, one does need to work hard, learn one’s field well, learn other fields and tools, ask questions, talk to other mathematicians, and think about the “big picture”.  And yes, a reasonable amount of intelligence, patience, and maturity is also required.  But one does not need some sort of magic “genius gene” that spontaneously generates ex nihilo deep insights, unexpected solutions to problems, or other supernatural abilities.

Continue reading at http://terrytao.wordpress.com/career-advice/does-one-have-to-be-a-genius-to-do-maths/

There’s more to mathematics than grades and exams and methods

Source: http://terrytao.wordpress.com/career-advice/there%E2%80%99s-more-to-mathematics-than-grades-and-exams-and-methods/

When you have mastered numbers, you will in fact no longer be reading numbers, any more than you read words when reading books. You will be reading meanings. (W. E. B. Du Bois)

When learning mathematics as an undergraduate student, there is often a heavy emphasis on grade averages, and on exams which often emphasize memorisation of techniques and theory than on actual conceptual understanding, or on either intellectual or intuitive thought. There are good reasons for this; there is a certain amount of theory and technique that must be practiced before one can really get anywhere in mathematics (much as there is a certain amount of drill required before one can play a musical instrument well). It doesn’t matter how much innate mathematical talent and intuition you have; if you are unable to, say, compute a multidimensional integral, manipulate matrix equations, understand abstract definitions, or correctly set up a proof by induction, then it is unlikely that you will be able to work effectively with higher mathematics.

However, as you transition to graduate school you will see that there is a higher level of learning (and more importantly, doing) mathematics, which requires more of your intellectual faculties than merely the ability to memorise and study, or to copy an existing argument or worked example. This often necessitates that one discards (or at least revises) many undergraduate study habits; there is a much greater need for self-motivated study and experimentation to advance your own understanding, than to simply focus on artificial benchmarks such as examinations.

Continue reading at http://terrytao.wordpress.com/career-advice/there%E2%80%99s-more-to-mathematics-than-grades-and-exams-and-methods/

Circle Theorems

Colleen Young's avatarMathematics, Learning and Technology

A collection of excellent free resources for demonstrating the various circle theorems:
Tim Devereux has created GeoGebra applets which allow exploration of the circle theorems. You can access each theorem from the menu on the left which includes a useful summary of all the theorems.


GeoGebra - Circle Theorems
GeoGebra – Circle Theorems

See alsothese excellent demonstrations.


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Top >10 Mathematics Websites

Colleen Young's avatarMathematics, Learning and Technology

Top >10 Mathematics Websites remains a very popular post on this blog.

 

I have read various ‘Top (insert number here) Mathematics Websites’ posts and all of them have left me with the thought that so many excellent sites are missing from such lists. Any post claiming top 10 or >10 in my case is clearly the author’s top 10, notthe top 10! These are my top >10 because I really do use them – a lot – in the classroom! For my own list, I have decided to include some categories as well as individual sites which gives me the excuse to mention far more than 10! Note that every site mentioned here is free to use.

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MOOCs and TOOCs and the role of problem solving in maths education

njwildberger: tangential thoughts's avatarnjwildberger: tangential thoughts

A quick quiz: which of the following four words doesn’t fit with the others??

Massive/Open/Online/Courses

We are going to muse about MOOCs today, a hot and highly debated topic in higher education circles. Are these ambitious new approaches to delivering free high quality education through online videos and interactive participation over the web going to put traditional universities out of business, or are they just one in a long historical line of hyped technologies that get everyone excited, and then fail to deliver the goods? (Think of the radio, TV, correspondence courses, movies, the tape recorder, the computer; all of which held out some promise for getting us to learn more and learn better, mostly to little avail, although the jury is still out on the computer.)

It’s fun to speculate on future trends, because of the potential—indeed likelihood—0f embarrassment for false predictions. Here is the summary of my argument today:…

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Maths Tuition Singapore Keywords

Just for curiosity, I went to research on the top keywords for Maths Tuition for Google search engine.

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Mathematics and 3D printing

Source: http://samuelcavazos.com/2013/07/12/mathematics-and-3d-printing/

Nice post on Mathematics and 3D printing!

3D printing is the latest advance in technology, that will possibly revolutionise the world!

Quote from source:

Below are some images of some of the mathematical structures he and Carlos Salinas have done using a MakerBot 3D printer. Most of these were first designed by using a software called Mathematica, which has the ability to handle complex surfaces and then create the file necessary to run on the MakerBot Software.

http://samuelcavazos.com/2013/07/12/mathematics-and-3d-printing/

 

How to Make Online Courses Massively Personal

How thousands of online students can get the effect of one-on-one tutoring

Source: http://www.scientificamerican.com/article.cfm?id=how-to-make-online-courses-massively-personal-peter-norvig&WT.mc_id=SA_SA_20130717

Educators have known for 30 years that students perform better when given one-on-one tutoring and mastery learning—working on a subject until it is mastered, not just until a test is scheduled. Success also requires motivation, whether from an inner drive or from parents, mentors or peers.

Online learning is a tool, just as the textbook is a tool. The way the teacher and the student use the tool is what really counts.

NCSM-Jo Boaler-Promoting Equity Through Teaching For A Growth Mindset

Excellent article on learning maths based on a growth mindset.

mathmindsblog's avatarMathMinds

1As you can see from the picture, it was a packed house! After waiting in line for fifteen minutes, I was so lucky (and excited) to get a seat to hear Jo Boaler speak, even if my seat was in the next to last row.

Jo opened the presentation with Dweck’s research on mindsets. “In the fixed mindset, people believe that their talents and abilities are fixed traits. They have a certain amount and that’s that; nothing can be done to change it. In the growth mindset, people believe that their talents and abilities can be developed through passion, education, and persistence.”

Jo states that the fixed mindset contributes to one of the biggest myths in mathematics: being good at math is a gift. She referenced her book, The Elephant in the Classroom (added it to my reading list) and showed the audience various television/movie clips that continue to perpetuate…

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The Key To Career Success

Source: http://www.huffingtonpost.com/brooks-mccorcle/the-key-to-career-success_b_3511254.html

“The essence of mathematics is not to make simple things complicated, but to make complicated things simple.” ~ Stan Gudder, Mathematician

Math, at its core, is about solving problems — about breaking a challenge into its basic elements to be investigated, tested, manipulated and understood. Math can give you the tools to find a winning formula. And, it can create the path to your career.

Math is the key to unlocking possibilities. It frees you up to think creatively about solutions and to focus your attention on what truly matters at the end of the day.

Finally, math empowers you to be a better leader and to remain open to new ideas. It sparks creativity and learning. It gives you confidence and conviction to say “YES!” when you’re asked to take on a new challenge. It helps you attract and energize the people you hire to help you.  In a marketplace that’s moving so fast, it’s important to constantly listen, learn, analyze and formulate new ways to serve customers.  Math provides the foundation for doing just that.

Want to succeed? It’s simple … math.

EDUC115N: How to Learn Math (Stanford Online Maths Education Course )

I will be attending this exciting online course by Stanford on Math Education. Do feel free to join it too, it is suitable for teachers and other helpers of math learners, such as parents.

stanford-maths-tuition

EDUC115N: How to Learn Math 

(Source: https://class.stanford.edu/courses/Education/EDUC115N/How_to_Learn_Math/about)

About This Course

In July 2013 a new course will be available on Stanford’s free on-line platform. The course is a short intervention designed to change students’ relationships with math. I have taught this intervention successfully in the past (in classrooms); it caused students to re-engage successfully with math, taking a new approach to the subject and their learning.

Concepts

1. Knocking down the myths about math.        Math is not about speed, memorization or learning lots of rules. There is no such  thing as “math people” and non-math people. Girls are equally capable of the highest achievement. This session will include interviews with students.

2. Math and Mindset.         Participants will be encouraged to develop a growth mindset, they will see evidence of  how mindset changes students’ learning trajectories, and learn how it can be  developed.

3. Mistakes, Challenges & Persistence.        What is math persistence? Why are mistakes so important? How is math linked to creativity? This session will focus on the importance of mistakes, struggles and persistence.

4. Teaching Math for a Growth Mindset.      This session will give strategies to teachers and parents for helping students develop a growth mindset and will include an interview with Carol Dweck.

5. Conceptual Learning. Part I. Number Sense.        Math is a conceptual subject– we will see evidence of the importance of conceptual thinking and participants will be given number problems that can be solved in many ways and represented visually.

6. Conceptual Learning. Part II. Connections, Representations, Questions.        In this session we will look at and solve math problems at many different  grade levels and see the difference in approaching them procedurally and conceptually. Interviews with successful users of math in different, interesting jobs (film maker, inventor of self-driving cars etc) will show the importance of conceptual math.

7. Appreciating Algebra.        Participants will learn some key research findings in the teaching and learning of algebra and learn about a case of algebra teaching.

8. Going From This Course to a New Mathematical Future.        This session will review the ideas of the course and think about the way towards a new mathematical future.

Make Britain Count: ‘Stop telling children maths isn’t for them’

Source: http://www.telegraph.co.uk/education/maths-reform/9621100/Make-Britain-Count-Stop-telling-children-maths-isnt-for-them.html

“The title comes from the central argument of the book,” says Birmingham-raised
Boaler, “namely the idea that maths is a gift that some have and some don’t.
That’s the elephant in the classroom. And I want to banish it. I believe
passionately that everybody can be good at maths. But you don’t have to take my word for it. Studies of the brain show that all kids can do well at maths,
unless they have some specific learning difficulty.”

But what about those booming Asian economies, with their ready flow of mathematically able graduates? “There are a lot of misconceptions about the methods that are used in China, Japan and Korea,” replies Boaler. “Their way of teaching maths is much more conceptual than it is in England. If you look at the textbooks they use, they are tiny.”

Professor Boaler’s tips on how parents can help Make Britain Count.

1 Encourage children to play maths puzzles and games at home. Anything with a dice will help them enjoy maths and develop numeracy and logic skills.

2 Never tell children they are wrong when they are working on maths problems. There is always some logic to what they are doing. So if your child multiplies three by four and gets seven, try: “Oh I see what you are thinking, you are using what you know about addition to add three and four. When we multiply we have four groups of three…”

3 Maths is not about speed. In younger years, forcing kids to work fast on maths is the best way to start maths anxiety, especially among girls.

4 Don’t tell your children you were bad at maths at school. Or that you disliked it. This is especially important if you are a mother.

5 Encourage number sense. What separates high and low achievers in primary school is number sense.

6 Encourage a “growth mindset” – the idea that ability changes as you work more and learn more.

Mathematics is an art

Taken from http://www.maa.org/devlin/lockhartslament.pdf

The first thing to understand is that mathematics is an art. The difference between math and the other arts, such as music and painting, is that our culture does not recognize it as such. Everyone understands that poets, painters, and musicians create works of art, and are expressing themselves in word, image, and sound. In fact, our society is rather generous when it comes to creative expression; architects, chefs, and even television directors are considered to be working artists. So why not mathematicians? Part of the problem is that nobody has the faintest idea what it is that mathematicians do. The common perception seems to be that mathematicians are somehow connected with science— perhaps they help the scientists with their formulas, or feed big numbers into computers for some reason or other. There is no question that if the world had to be divided into the “poetic dreamers” and the “rational thinkers” most people would place mathematicians in the latter category. Nevertheless, the fact is that there is nothing as dreamy and poetic, nothing as radical, subversive, and psychedelic, as mathematics. It is every bit as mind blowing as cosmology or physics (mathematicians conceived of black holes long before astronomers actually found any), and allows more freedom of expression than poetry, art, or music (which depend heavily on properties of the physical universe). Mathematics is the purest of the arts, as well as the most misunderstood. So let me try to explain what mathematics is, and what mathematicians do. I can hardly do better than to begin with G.H. Hardy’s excellent description: A mathematician, like a painter or poet, is a maker of patterns. If his patterns are more permanent than theirs, it is because they are made with ideas.

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Tangent Secant Theorem (A Maths Tuition)

Nice Proof of Tangent Secant Theorem:

http://www.proofwiki.org/wiki/Tangent_Secant_Theorem

Note: The term “Square of Sum less Square” means a^2-b^2=(a+b)(a-b)

The proof of the Tangent Secant Theorem, though not tested, is very interesting. In particular, the proof of the first case (DA passes through center) should be accessible to stronger students.

The illustration for theorem about tangent and...
The illustration for theorem about tangent and secant (Photo credit: Wikipedia)

How to use tables in CASIO FX-9860G Slim (H2 Maths Tuition)

Tables in CASIO FX-9860G Slim

The most popular Graphical Calculator for H2 Maths is currently the TI-84 PLUS series, but some students do use Casio Graphical Calculators.

The manual for CASIO FX-9860G Slim is can be found here:

http://edu.casio.com/products/fx9860g2/data/fx-9860GII_Soft_E.pdf

The information about Tables and how to generate a table is on page 121.

Generating tables is useful to solve some questions in sequences and series, and also probability. It makes guess and check questions much faster to solve.

h2 tuition gc
Picture of the CASIO FX-9860G Slim Calculator

Finding equation of circle (A Maths) 8 mark Question!

Question:

Find the equation of the circle which passes through A(8,1) and B(7,0) and has, for its tangent at B, the line 3x-4y-21=0.

Solution:

Recall that the equation of a circle is (x-a)^2+(y-b)^2=r^2, where (a,b) is the centre of the circle, and r is the radius of the circle.

Substituting A(8,1) into the equation, we get:

\boxed{(8-a)^2+(1-b)^2=r^2} — Eqn (1)

Substituting B(7,0), we get:

\boxed{(7-a)^2+(0-b)^2=r^2} — Eqn (2)

Equating Eqn (1) and Eqn (2), we get

64-16a+a^2+1-2b+b^2=49-14a+a^2+b^2 which reduces to

\boxed{b=8-a} — Eqn (3)

after simplification.

Now, we rewrite the equation of the tangent as \displaystyle y=\frac{3}{4}x-\frac{21}{4} (make y the subject)

Hence, the gradient of the normal is \displaystyle\frac{-1}{\frac{3}{4}}=-\frac{4}{3}

Let the equation of the normal be \displaystyle y=-\frac{4}{3}x+c

Substitute in  B(7,0) we get \displaystyle 0=-\frac{4}{3}(7)+c

Hence \displaystyle c=\frac{28}{3}

Thus equation of normal is \displaystyle \boxed{y=-\frac{4}{3}x+\frac{28}{3}}

Since the normal will pass through the centre (a,b) we have

\boxed{b=-\frac{4}{3}a+\frac{28}{3}} — Eqn (4)

Finally, we equate Eqn (3) and Eqn (4),

\displaystyle 8-a=-\frac{4}{3}a+\frac{28}{3}

\displaystyle \frac{1}{3}a=\frac{4}{3}

a=4

b=8-a=4

Substituting back into Eqn (1), we get r=5

Hence the equation of the circle is:

\displaystyle\boxed{(x-4)^2+(y-4)^2=5^2}

Checking Multiplication via Digit Sums

mzspivey's avatarA Narrow Margin

Last week a friend who is a fourth grade teacher came to me with a math problem.  The father of one of his students had showed him a trick for checking the result of a three-digit multiplication problem.  The father had learned the trick as a student himself, but he didn’t know why it worked.  My friend showed me the trick and asked if I had seen it before.  This post describes this check and explains why it works.

Suppose you want to multiply 231 $latex \times $ 243.  Working it out by hand, you get 56133.  Add the digits in the answer (5+6+1+3+3) to get 18.  Add the digits again to get 9.  Stop now that you have a single digit.

Alternatively, do this digit adding beforehand.  Adding the digits of 231 together, we get 6.  Adding the digits of 243 together, we get 9.  Multiply 6 $latex \times$ 9…

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How should logarithms be taught?

gowers's avatarGowers's Weblog

Having a blog gives me a chance to defend myself against a number of people who took issue with a passage in Mathematics, A Very Short Introduction, where I made the tentative suggestion that an abstract approach to mathematics could sometimes be better, pedagogically speaking, than a concrete one — even at school level. This was part of a general discussion about why many people come to hate mathematics.

The example I chose was logarithms and exponentials. The traditional method of teaching them, I would suggest, is to explain what they mean and then derive their properties from this basic meaning. So, for example, to justify the rule that xa+b=xaxb one would say something like that if you have a xs followed by b xs and you multiply them all together then you are multiplying a+b xs all together.

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Use of mathematics II

gowers's avatarGowers's Weblog

Today I had an experience that I have had many times before, and so, I imagine, has almost everybody (at least if they are old enough to be the kind of person who might conceivably read this blog post). I was in a queue in a chemist (=pharmacy=drugstore), and I knew that my particular item would be quick and easy to deal with. But I had to wait a while because in front of me was someone who had an item that was much more complicated and time-consuming. In this instance the complexity of the items was not due to their sizes, but a more common occurrence of the phenomenon is something that often happens to me in a local grocery: I want to buy just a pint of milk, say, and I find myself behind somebody who has a big basket of things, several of which have to be…

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On multiple choice questions in mathematics

Terence Tao's avatarWhat's new

Now that the project to upgrade my old multiple choice applet to a more modern and collaborative format is underway (see this server-side demo and this javascript/wiki demo, as well as the discussion here), I thought it would be a good time to collect my own personal opinions and thoughts regarding how multiple choice quizzes are currently used in teaching mathematics, and on the potential ways they could be used in the future.  The short version of my opinions is that multiple choice quizzes have significant limitations when used in the traditional classroom setting, but have a lot of interesting and underexplored potential when used as a self-assessment tool.

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2012 H2 Maths Prelim Solution: SRJC/II/8(iv)

8(iv)

Using the model \displaystyle y=a+\frac{b}{x-2}, estimate the total fertility rate for a particular country Z when its GDP per capita is USD$1000, giving your answer to 1 decimal place and comment on the reliability of the estimate.

First, we need to remove the outlier (40,6.6) as mentioned in part iii.

Then, performing linear regression with GC, (with variables \frac{1}{x-2}y), we get:

a=0.974686

b=6.86442

Substituting x=1, we get \displaystyle y=a+\frac{b}{1-2}=-5.9 (1 d.p.)

Since we cannot have a negative fertility rate (the average number of children that would be born to a woman ), the estimate obtained for y is not reliable.

Xinmin Secondary 2010 Prelim Paper I Q24 Solution (Challenging/Difficult Probability O Level Question)

A bag A contains 9 black balls, 6 white balls and 3 red balls. A bag B contains 6 black balls, 2 white balls and 4 green balls. Ali takes out 1 ball from each bag randomly. When Ali takes out 1 ball from one bag, he will put it into the other bag and then takes out one ball from that bag. Find the probability that

(a) the ball is black from bag A, followed by white from bag B,
(b) both the balls are white in colour,
(c) the ball is black or white from bag B, followed by red from bag A,
(d) both the balls are of different colours,
(e) both the balls are not black or white in colours.

probability maths tuition

Solution:

(a) \displaystyle\frac{9}{18}\times\frac{2}{13}=\frac{1}{13}

(b) Probability of white ball from bag A, followed by white ball from bag B=\displaystyle=\frac{1}{2}\times\frac{6}{18}\times\frac{3}{13}=\frac{1}{26}

Probability of white from B, followed by white from A=\displaystyle=\frac{1}{2}\times\frac{2}{12}\times\frac{7}{19}=\frac{7}{228}

Total prob=\displaystyle\frac{205}{2964}

(c) Prob. of ball is black or white from bag B=\displaystyle\frac{6}{12}+\frac{2}{12}=\frac{8}{12}

\displaystyle\frac{8}{12}\times\frac{3}{19}=\frac{2}{19}

(d) Prob of both red = P(red from A, followed by red from B)=\displaystyle\frac{1}{2}\times\frac{3}{18}\times\frac{1}{13}=\frac{1}{156}

P(both green)=P(green from B, followed by green from A)=\displaystyle\frac{1}{2}\times\frac{4}{12}\times\frac{1}{19}=\frac{1}{114}

P(both black)=P(black from A, followed by black from B)+P(black from B, followed by black from A)=\displaystyle\frac{1}{2}\times\frac{9}{18}\times\frac{7}{13}+\frac{1}{2}\times\frac{6}{12}\times\frac{10}{19}=\frac{263}{988}

P(both white)=\displaystyle\frac{205}{2964} (from part b)

\displaystyle 1-\frac{1}{156}-\frac{1}{114}-\frac{263}{988}-\frac{205}{2964}=\frac{1925}{2964}

(e)

P(neither black nor white from A, followed by neither black nor white from B)=\displaystyle\frac{1}{2}\times\frac{3}{18}\times\frac{5}{13}=\frac{5}{156}

P(neither black nor white from B, followed by neither black nor white from A)=\displaystyle\frac{1}{2}\times\frac{4}{12}\times\frac{4}{19}=\frac{2}{57}

\displaystyle\frac{5}{156}+\frac{2}{57}=\frac{199}{2964}

Why aren’t all functions well-defined?

gowers's avatarGowers's Weblog

I’m in the happy state of just having finished marking exams for this year. There is very little of interest to say about the week that was removed from my life: it would be fun to talk about particularly bizarre mistakes, but I can’t really do that, especially as the results are not yet known (or even fully decided). However, one general theme emerged that made no difference to anybody’s marks. There seems to be a common misconception amongst many Cambridge undergraduates that I’d like to discuss here in the hope that I can clear things up for a few people. (It is an issue that I have discussed already on my web page, but rather than turning that into a blog post I’m starting again.)

The question where the misconception made itself felt was one about functions, injections, surjections, etc. I noticed that a lot of people wrote things…

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