...greatest mathematical challenges of all time, Fermat's last theorem. He was born in Alexandria somewhere between 200 and 214 BC. Alexandria was the center of Greek culture and knowledge and Diophantus belonged to the ‘Silver Age’ of Alexandria. Altough little is known about his life, according to his riddle, he got married when he was 33, had a son who lived for 42 years and was 84 when he died. During his life, Diophantus wrote the Arithmetica, the Porismata, the Moriastica, and On Polygonal Numbers. Arithmetica originally had thirteen books, out of which we only have six. It is a collection of problems giving numerical solutions of both determinate and indeterminate equations. The information from these books tell us that Diophantus studied from Babylonian teachers. Porismata is a collection of lemmas, although the book is entirely lost. One such lemma is that the difference of the cubes of two rational numbers is equal to the sum of the cubes of two other rational numbers. The Moriastica is thought to have treated computation with fractions. Only fragments of Diophantus' books On Polygonal Numbers, a topic of great interest to Pythagoras and his followers, have survived. Diophantus is often called “the Father of Algebra" because he contributed greatly to number theory, mathematical notation, and because Arithmetica contains the earliest known use of syncopated notation. 2. Fermat’s solution was called his "Last Theorem”: "If an integer n is greater than 2, then...
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...gives you a guarantee that the statement has to be true. But when you dissect a proof right down to its base axiom, there you will have to rely on an assumption- that our intuition deems valid. I am not here to argue on the basis of the correctness in our underlying assumption of the base axiom. Proofs are merely a way to deduce results from a given premise. And the premise here is the truth of the axiom. I am uncomfortable about the fact that people are willing to accept the intuition behind the base axiom but not the intuition behind the results that follow. True, in most cases it is easier to be aware of the former- and the latter may be hard to see as obvious. A case in point would be Fermat’s last theorem. Andrew Wiles did come up with an absolutely marvellous proof of the theorem- something that puzzled the greatest minds for three and a half centuries. But in those three and a half centuries, what if some person saw it as obvious. Does he/she have to prove it in Wiles’ way or any other way to actually believe in it? Indeed Fermat himself could have been one such person. ‘The truly marvellous proof that this margin is too small to contain’ may have very well referred to a product of intuition that words find hard to explain. Let a world in which everybody speaks...
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...the prize, treated vibrations of general curved as well as plane surfaces and was published privately in 1821. During the 1820’s she worked on generalizations of her research, but removed herself from the academic community on account of her gender and largely unaware of new developments taking place in the theory of elasticity but made little progress. Meanwhile, she had actively restored her interest and wrote to Gauss outlining her strategy for a general solution. Her result first appeared in 1825 in addition to the second of Legendre’s Théorie des nombres. Sophie Germain died on June 27, 1831 in Paris, France at the age of fifty-five. She had been suffering from breast cancer and died before receiving an honorary doctor’s degree. The theorem was proved in all cases by the English mathematician, Andrew Wiles, in 1995. ...
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...Introducing Sophie Calle and Jean Michel Basquiant they are artist around the same time period. Sophie Calle is a French writer, photographer, installation artist, and conceptual artist. Jean Michel Basquiant is a painter. Sophie Calle was born on October 9, 1953 in Paris, French. She is known for her conceptual art and installation art. Now she is considered as the most important artists of all time, she was recognized by Newsweek Magazine as of one out the ten important artist in contemporary art. In the late 1970s she has started doing photographer by combining text on her images. Sophie existence plays important role in her works. (ARNDT) Calle most famous work is consist of recreating moments from other lives. She would follow people...
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...FHMM1124 General Mathematics II (Past Year Paper Answer) September 2010 1 (a) Z=92 , x =20 , y =16 (b) Laspeyres price index = 108.43 2 (a) Year 2006 2007 2008 Total Deviation Average deviation Adjustment Adjusted seasonal factor,S Q1 -2.00 -3.13 -5.13 -2.57 0.06 -2.63 Deviation (Y-T) Q2 Q3 0.87 4.62 1.37 6.50 11.12 2.24 5.56 1.12 0.06 0.06 5.50 1.06 Q4 -3.50 -4.25 -7.75 -3.88 0.05 -3.93 (b)(i) (ii) 3 (a)(i) (ii) Limit is exist (iii) f(x) is continuous at x =-2 (b)(ii) Area = (c) 4 (a) Equation of normal : (b)(i) f(x) is increasing at f(x) is decreasing at (ii) Local maximum point = Local minimum point = 1 FHMM1124 General Mathematics II (Past Year Paper Answer) December 2010 1 (a) g=34 , u =2 , v =6 (b)(i) Aggregate price Index for 2008=90.48 Aggregate price Index for 2009=112.38 (ii) Laspeyres price index = 89.53 2 (a) Week/ Day 2006 2007 2008 Total Deviation Average deviation Adjustment Adjusted seasonal factor,S Mon -12.20 -13.80 -26.00 -13.00 0.06 -13.06 Deviation (Y-T) Tue Wed 2.00 14.80 1.40 17.20 0.80 32.00 4.20 16.00 1.40 0.06 0.06 15.94 1.34 Thu 27.6 29.00 56.60 28.30 0.06 28.24 Fri -31.60 -33.20 -64.80 32.40 0.06 -32.46 (a)(iv) Yp=98 (b)(i) (ii) 3 (a)(i) (ii) Limit does not exist. (iii) f(x) is discontinuous at x = 0 (iv) c = 8 (b)(i) f(x) is increasing at f(x) is decreasing at (ii) Local maximum point = Local minimum point = (iv) Absolute maximum point =155 Absolute minimum point = -53 2 FHMM1124 General...
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...Migration to Australia & Canada -Supriyo Kumar Chacrabarty, CEO, SA Associates. At present, out of five countries of most happy, affluent & economically solvent country around the world, Australia & Canada are main two. Because, comparing to the area of the country, the most feature of these two countries are less population, state guarantee of providing highest citizen facility, high salary, ensured of leading luxurious life, facility of letting the children's of international quality of high education. Sometimes these countries are told the country of ''Migration''. And yes, really this is. For, considering High Skilled Professionals of around the world are brought here by giving them Citizenship under the migration program run by government. For this, no longer time of a country is taken to touch the highest of development for out of total number of population 94% are highly educated, conscious citizen and hard worker. Political stableness is also a main cause of this improvement. However, many weight-less advertisements are visible about the migration of Australia & Canada, and heard of many saying that these all least do not see the light of goal. The main cause behind this belief is Negative Result that made after 2-3 years long waiting & investing a huge number of money. This may, of course, take a longer time, but if the causes of being negative result are discussed, then answers will be got of some imperceptible information about Australia & Canada migration. At present...
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...This exam consisted of 13 numbered pages. ERASMUS UNIVERSITY ROTTERDAM Erasmus School of Economics International Bachelor Economics & Business Economics, Bachelor 1 Exam Mathematics 1 (FEB11003X-10) Monday 11 July 2011, 9:30 – 12:30 hrs Instructions ESE • You are not allowed to use a calculator. • You are not allowed to use a programmable calculator. • You are not allowed to use notes (except a cheat sheet, see below). • You are not allowed to use books. • You are not allowed to use a dictionary. • You are allowed to take the examination papers with you (but you have to turn in the separate answer sheet). Additional information You are allowed to use a cheat sheet, for which the following rules apply: • Two-sided A4 • Your name and student number in the upper right corner All material that does not satisfy these rules will be taken away from you and may be considered a fraud attempt. Use the separate answer sheet to indicate your answers. The exam consists of 19 problems grouped in four parts, each with different types of problems. For the basic problems, multiple choice problems and calculation problems you will score 3, 4 and 5 points, respectively, per correct answer and no points for incorrect answers. For the open problems (8 points per problem) your score will depend on the answer and the calculation. The exam grade is the result from the formula (10 + number of scored points)/10. So 63 scored points result...
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...natural logarithm (often called “Euler's constant”), and the modern notations for the trigonometric functions. [1.497] For that matter, Euler was also instrumental in developing the current notion of “function”, as well as the notation “f(x)”. [1.571-572] A 1777 memoir of Euler's also contained one of the first uses of the letter “i” to represent the square root of -1. [1.498] Euler's main areas of interest in pure mathematics were undoubtedly number theory and infinite series. It was Euler who proved Fermat's “little” theorem on coprime integers in 1736. [1.482] He also generalized the theorem using his phi function, which counts the number of integers less than and coprime to a given integer. [1.502] Inspired by Fermat and Goldbach, Euler also did substantial work with prime numbers, those integers which are equal to the sum of their divisors and which remain one of the most puzzling areas of number theory. [1.473] Euler was also the first to prove Fermat's famous last theorem for cubes in 1770. [1.485] In the realm of infinite series, Euler was notable for finding solutions to problems by manipulating series in unexpected ways. He was the first to find series representations for e^x, sin(x) and cos(x) [1.498-499], and he used these in order to solve the Basel problem as well as develop Euler’s formula, which states e^(ix) = cos(x) + isin(x). This discovery has seen virtually endless uses in mathematics as well as physics, though the latter application was not truly appreciated...
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.... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 7 7 9 12 16 17 21 21 23 24 27 27 28 29 30 32 33 35 35 38 45 45 46 47 51 51 52 53 55 55 56 58 59 63 64 69 3 Induction 3.1 The sum of odd numbers . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3.2 Subset counting revisited . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3.3 Counting regions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 Counting subsets 4.1 The number of ordered subsets . . . . 4.2 The number of subsets of a given size 4.3 The Binomial Theorem . . . . . . . . 4.4 Distributing presents . . . . . . . . . . 4.5 Anagrams . . . . . . . . . . . . . . . . 4.6 Distributing money . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 Pascal’s Triangle 5.1 Identities in the Pascal Triangle . . . . . . . . . . . . . . . . . . . . . . . . . 5.2 A bird’s eye view at the...
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...to her introduction into society, Sophie Germain felt disregarded because of her sex. For this reason, Sophie Germain felt marginalized and her personality seemed deeply affected by this treatment. Eventually, Germain became known as a “charming personality”. Sophie Germain once said, “It made no difference from whom an idea came; it was only of consequence that it should be true and useful. Fame [is] to be the small space which one occupies in the brain of his neighbors – a definition which Schopenhauer has since repeated” (Ladd Franklin). While Sophie Germain earned her fame for her theory on elasticity, mathematicians feel she completed her best work in number theory. Sophie Germain produced a proof for the first case of Fermat’s Last Theorem for all primes p less than 100. She, like so many women of this time, were instrumental in paving a path for women in mathematics. Sophie Germain worked in both number theory and physics. She died at the age of fifty-five in...
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...Jaffe-Quinn article have been invited from a number of mathematicians, and I expect it to receive plenty of specific analysis and criticism from others. Therefore, I will concentrate in this essay on the positive rather than on the contranegative. I will describe my view of the process of mathematics, referring only occasionally to Jaffe and Quinn by way of comparison. In attempting to peel back layers of assumptions, it is important to try to begin with the right questions: 1. What is it that mathematicians accomplish? There are many issues buried in this question, which I have tried to phrase in a way that does not presuppose the nature of the answer. It would not be good to start, for example, with the question How do mathematicians prove theorems? This question...
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...Chapter 1 Discrete Probability Distributions 1.1 Simulation of Discrete Probabilities Probability In this chapter, we shall first consider chance experiments with a finite number of possible outcomes ω1 , ω2 , . . . , ωn . For example, we roll a die and the possible outcomes are 1, 2, 3, 4, 5, 6 corresponding to the side that turns up. We toss a coin with possible outcomes H (heads) and T (tails). It is frequently useful to be able to refer to an outcome of an experiment. For example, we might want to write the mathematical expression which gives the sum of four rolls of a die. To do this, we could let Xi , i = 1, 2, 3, 4, represent the values of the outcomes of the four rolls, and then we could write the expression X 1 + X 2 + X 3 + X4 for the sum of the four rolls. The Xi ’s are called random variables. A random variable is simply an expression whose value is the outcome of a particular experiment. Just as in the case of other types of variables in mathematics, random variables can take on different values. Let X be the random variable which represents the roll of one die. We shall assign probabilities to the possible outcomes of this experiment. We do this by assigning to each outcome ωj a nonnegative number m(ωj ) in such a way that m(ω1 ) + m(ω2 ) + · · · + m(ω6 ) = 1 . The function m(ωj ) is called the distribution function of the random variable X. For the case of the roll of the die we would assign equal probabilities or probabilities 1/6 to each of the outcomes....
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.... . . . . Abstraction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Summing Consecutive Integers . . . . . . . . . . . . . . . . . . . . . . . . . . . . The Product Principle . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Two element subsets . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Important Concepts, Formulas, and Theorems . . . . . . . . . . . . . . . . . . . . Problems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2 Counting Lists, Permutations, and Subsets. . . . . . . . . . . . . . . . . . . . . . Using the Sum and Product Principles . . . . . . . . . . . . . . . . . . . . . . . . Lists and functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . The Bijection Principle . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . k-element permutations of a set . . . . . . . . . . . . . . . . . . . . . . . . . . . . Counting subsets of a set . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Important Concepts, Formulas, and Theorems . . . . . . . . . . . . . . . . . . . . Problems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.3 Binomial Coefficients . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pascal’s Triangle . . . . . . . . . . . . . . . . . . . . . ....
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...GRE MATH FORMULAE Mixtures first.... 1. when you mix different quantities (say n1 and n2) of A and B, with different strengths or values v1 and v2 then their mean value vm after mixing will be: Vm*(n1 + n2) = (v1.n1 + v2.n2) you can use this to find the final price of say two types of rice being mixed or final strength of acids of different concentration being mixed etc.... the ratio in which they have to be mixed in order to get a mean value of vm can be given as: n1/n2 = (v2 - vm)/(vm - v1) When three different ingredients are mixed then the ratio in which they have to be mixed in order to get a final strength of vm is: n1 : n2 : n3 = (v2 - vm)(v3 - vm) : (vm - v1)(v3 - vm) : (vm - v2)(vm - v1) 2. If from a vessel containing M units of mixtures of A & B, x units of the mixture is taken out & replaced by an equal amount of B only .And If this process of taking out & replacement by B is repeated n times , then after n operations, Amount of A left/ Amount of A originally present = (1-x/M)^n 3. If the vessel contains M units of A only and from this x units of A is taken out and replaced by x units of B. if this process is repeated n times, then: Amount of A left = M [(1 - x/M)^n] This formula can be applied to problem involving dilution of milk with water, etc... EXPLAINATION TO THE ABOVE FORMULA when you mix different quantities (say n1 and n2) of A and B, with different strengths or values v1 and v2 then their mean value vm after mixing...
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...CALCULUS I Paul Dawkins Calculus I Table of Contents Preface ........................................................................................................................................... iii Outline ........................................................................................................................................... iv Review............................................................................................................................................. 2 Introduction ................................................................................................................................................ 2 Review : Functions..................................................................................................................................... 4 Review : Inverse Functions .......................................................................................................................14 Review : Trig Functions ............................................................................................................................21 Review : Solving Trig Equations ..............................................................................................................28 Review : Solving Trig Equations with Calculators, Part I ........................................................................37 Review : Solving Trig Equations with Calculators, Part II .............................................
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