In Mathematics, the Logarithm of a Number Is the Exponent to Which Another Fixed Value, the Base, Must Be Raised to Produce That Number
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The Enigmatic Number E: a History in Verse and Its Uses in the Mathematics Classroom
To appear in MAA Loci: Convergence The Enigmatic Number e: A History in Verse and Its Uses in the Mathematics Classroom Sarah Glaz Department of Mathematics University of Connecticut Storrs, CT 06269 [email protected] Introduction In this article we present a history of e in verse—an annotated poem: The Enigmatic Number e . The annotation consists of hyperlinks leading to biographies of the mathematicians appearing in the poem, and to explanations of the mathematical notions and ideas presented in the poem. The intention is to celebrate the history of this venerable number in verse, and to put the mathematical ideas connected with it in historical and artistic context. The poem may also be used by educators in any mathematics course in which the number e appears, and those are as varied as e's multifaceted history. The sections following the poem provide suggestions and resources for the use of the poem as a pedagogical tool in a variety of mathematics courses. They also place these suggestions in the context of other efforts made by educators in this direction by briefly outlining the uses of historical mathematical poems for teaching mathematics at high-school and college level. Historical Background The number e is a newcomer to the mathematical pantheon of numbers denoted by letters: it made several indirect appearances in the 17 th and 18 th centuries, and acquired its letter designation only in 1731. Our history of e starts with John Napier (1550-1617) who defined logarithms through a process called dynamical analogy [1]. Napier aimed to simplify multiplication (and in the same time also simplify division and exponentiation), by finding a model which transforms multiplication into addition. -
Exponent and Logarithm Practice Problems for Precalculus and Calculus
Exponent and Logarithm Practice Problems for Precalculus and Calculus 1. Expand (x + y)5. 2. Simplify the following expression: √ 2 b3 5b +2 . a − b 3. Evaluate the following powers: 130 =,(−8)2/3 =,5−2 =,81−1/4 = 10 −2/5 4. Simplify 243y . 32z15 6 2 5. Simplify 42(3a+1) . 7(3a+1)−1 1 x 6. Evaluate the following logarithms: log5 125 = ,log4 2 = , log 1000000 = , logb 1= ,ln(e )= 1 − 7. Simplify: 2 log(x) + log(y) 3 log(z). √ √ √ 8. Evaluate the following: log( 10 3 10 5 10) = , 1000log 5 =,0.01log 2 = 9. Write as sums/differences of simpler logarithms without quotients or powers e3x4 ln . e 10. Solve for x:3x+5 =27−2x+1. 11. Solve for x: log(1 − x) − log(1 + x)=2. − 12. Find the solution of: log4(x 5)=3. 13. What is the domain and what is the range of the exponential function y = abx where a and b are both positive constants and b =1? 14. What is the domain and what is the range of f(x) = log(x)? 15. Evaluate the following expressions. (a) ln(e4)= √ (b) log(10000) − log 100 = (c) eln(3) = (d) log(log(10)) = 16. Suppose x = log(A) and y = log(B), write the following expressions in terms of x and y. (a) log(AB)= (b) log(A) log(B)= (c) log A = B2 1 Solutions 1. We can either do this one by “brute force” or we can use the binomial theorem where the coefficients of the expansion come from Pascal’s triangle. -
Inverse of Exponential Functions Are Logarithmic Functions
Math Instructional Framework Full Name Math III Unit 3 Lesson 2 Time Frame Unit Name Logarithmic Functions as Inverses of Exponential Functions Learning Task/Topics/ Task 2: How long Does It Take? Themes Task 3: The Population of Exponentia Task 4: Modeling Natural Phenomena on Earth Culminating Task: Traveling to Exponentia Standards and Elements MM3A2. Students will explore logarithmic functions as inverses of exponential functions. c. Define logarithmic functions as inverses of exponential functions. Lesson Essential Questions How can you graph the inverse of an exponential function? Activator PROBLEM 2.Task 3: The Population of Exponentia (Problem 1 could be completed prior) Work Session Inverse of Exponential Functions are Logarithmic Functions A Graph the inverse of exponential functions. B Graph logarithmic functions. See Notes Below. VOCABULARY Asymptote: A line or curve that describes the end behavior of the graph. A graph never crosses a vertical asymptote but it may cross a horizontal or oblique asymptote. Common logarithm: A logarithm with a base of 10. A common logarithm is the power, a, such that 10a = b. The common logarithm of x is written log x. For example, log 100 = 2 because 102 = 100. Exponential functions: A function of the form y = a·bx where a > 0 and either 0 < b < 1 or b > 1. Logarithmic functions: A function of the form y = logbx, with b 1 and b and x both positive. A logarithmic x function is the inverse of an exponential function. The inverse of y = b is y = logbx. Logarithm: The logarithm base b of a number x, logbx, is the power to which b must be raised to equal x. -
Black Hills State University
Black Hills State University MATH 341 Concepts addressed: Mathematics Number sense and numeration: meaning and use of numbers; the standard algorithms of the four basic operations; appropriate computation strategies and reasonableness of results; methods of mathematical investigation; number patterns; place value; equivalence; factors and multiples; ratio, proportion, percent; representations; calculator strategies; and number lines Students will be able to demonstrate proficiency in utilizing the traditional algorithms for the four basic operations and to analyze non-traditional student-generated algorithms to perform these calculations. Students will be able to use non-decimal bases and a variety of numeration systems, such as Mayan, Roman, etc, to perform routine calculations. Students will be able to identify prime and composite numbers, compute the prime factorization of a composite number, determine whether a given number is prime or composite, and classify the counting numbers from 1 to 200 into prime or composite using the Sieve of Eratosthenes. A prime number is a number with exactly two factors. For example, 13 is a prime number because its only factors are 1 and itself. A composite number has more than two factors. For example, the number 6 is composite because its factors are 1,2,3, and 6. To determine if a larger number is prime, try all prime numbers less than the square root of the number. If any of those primes divide the original number, then the number is prime; otherwise, the number is composite. The number 1 is neither prime nor composite. It is not prime because it does not have two factors. It is not composite because, otherwise, it would nullify the Fundamental Theorem of Arithmetic, which states that every composite number has a unique prime factorization. -
Saxon Course 1 Reteachings Lessons 21-30
Name Reteaching 21 Math Course 1, Lesson 21 • Divisibility Last-Digit Tests Inspect the last digit of the number. A number is divisible by . 2 if the last digit is even. 5 if the last digit is 0 or 5. 10 if the last digit is 0. Sum-of-Digits Tests Add the digits of the number and inspect the total. A number is divisible by . 3 if the sum of the digits is divisible by 3. 9 if the sum of the digits is divisible by 9. Practice: 1. Which of these numbers is divisible by 2? A. 2612 B. 1541 C. 4263 2. Which of these numbers is divisible by 5? A. 1399 B. 1395 C. 1392 3. Which of these numbers is divisible by 3? A. 3456 B. 5678 C. 9124 4. Which of these numbers is divisible by 9? A. 6754 B. 8124 C. 7938 Saxon Math Course 1 © Harcourt Achieve Inc. and Stephen Hake. All rights reserved. 23 Name Reteaching 22 Math Course 1, Lesson 22 • “Equal Groups” Word Problems with Fractions What number is __3 of 12? 4 Example: 1. Divide the total by the denominator (bottom number). 12 ÷ 4 = 3 __1 of 12 is 3. 4 2. Multiply your answer by the numerator (top number). 3 × 3 = 9 So, __3 of 12 is 9. 4 Practice: 1. If __1 of the 18 eggs were cracked, how many were not cracked? 3 2. What number is __2 of 15? 3 3. What number is __3 of 72? 8 4. How much is __5 of two dozen? 6 5. -
Mock In-Class Test COMS10007 Algorithms 2018/2019
Mock In-class Test COMS10007 Algorithms 2018/2019 Throughout this paper log() denotes the binary logarithm, i.e, log(n) = log2(n), and ln() denotes the logarithm to base e, i.e., ln(n) = loge(n). 1 O-notation 1. Let f : N ! N be a function. Define the set Θ(f(n)). Proof. Θ(f(n)) = fg(n) : There exist positive constants c1; c2 and n0 s.t. 0 ≤ c1f(n) ≤ g(n) ≤ c2f(n) for all n ≥ n0g 2. Give a formal proof of the statement: p 10 n 2 O(n) : p Proof. We need to show that there are positive constants c; n0 such that 10 n ≤ c · n, 10 p for every n ≥ n0. The previous inequality is equivalent to c ≤ n, which in turn 100 100 gives c2 ≤ n. Hence, we can pick c = 1 and n0 = 12 = 100. 3. Use the racetrack principle to prove the following statement: n 2 O(2n) : Hint: The following facts can be useful: • The derivative of 2n is ln(2)2n. 1 • 2 ≤ ln(2) ≤ 1 holds. n Proof. We need to show that there are positive constants c; n0 such that n ≤ c·2 . We n pick c = 1 and n0 = 1. Observe that n ≤ 2 holds for n = n0(= 1). It remains to show n that n ≤ 2 also holds for every n ≥ n0. To show this, we use the racetrack principle. Observe that the derivative of n is 1 and the derivative of 2n is ln(2)2n. Hence, by n the racetrack principle it is enough to show that 1 ≤ ln(2)2 holds for every n ≥ n0, 1 1 1 1 or log( ln 2 ) ≤ n. -
Unit 2. Powers, Roots and Logarithms
English Maths 4th Year. European Section at Modesto Navarro Secondary School UNIT 2. POWERS, ROOTS AND LOGARITHMS. 1. POWERS. 1.1. DEFINITION. When you multiply two or more numbers, each number is called a factor of the product. When the same factor is repeated, you can use an exponent to simplify your writing. An exponent tells you how many times a number, called the base, is used as a factor. A power is a number that is expressed using exponents. In English: base ………………………………. Exponente ………………………… Other examples: . 52 = 5 al cuadrado = five to the second power or five squared . 53 = 5 al cubo = five to the third power or five cubed . 45 = 4 elevado a la quinta potencia = four (raised) to the fifth power . 1521 = fifteen to the twenty-first . 3322 = thirty-three to the power of twenty-two Exercise 1. Calculate: a) (–2)3 = f) 23 = b) (–3)3 = g) (–1)4 = c) (–5)4 = h) (–5)3 = d) (–10)3 = i) (–10)6 = 3 3 e) (7) = j) (–7) = Exercise: Calculate with the calculator: a) (–6)2 = b) 53 = c) (2)20 = d) (10)8 = e) (–6)12 = For more information, you can visit http://en.wikibooks.org/wiki/Basic_Algebra UNIT 2. Powers, roots and logarithms. 1 English Maths 4th Year. European Section at Modesto Navarro Secondary School 1.2. PROPERTIES OF POWERS. Here are the properties of powers. Pay attention to the last one (section vii, powers with negative exponent) because it is something new for you: i) Multiplication of powers with the same base: E.g.: ii) Division of powers with the same base : E.g.: E.g.: 35 : 34 = 31 = 3 iii) Power of a power: 2 E.g. -
Slide Rules: How Quickly We Forget Charles Molían If You Have Not Thrown out Your Old Slide Rule, Treasure It, Especially If It Is One of the More Sophisticated Types
HISTORY OF PHYSICS91 Instrumental Background Slide Rules: How Quickly We Forget Charles Molían If you have not thrown out your old slide rule, treasure it, especially if it is one of the more sophisticated types. It is a relic of a recent age In 1614 John Napier published details of invention of the electronic calculator. Fig 1 top A straight slide rule from A.W. Faber of Bavaria his logarithms which reduced multiplica The bigger the slide rule, the more cl 905. (The illustration is from a 1911 catalogue). In this engraving the number 1 on the bottom scale of the slide tion and division to simple addition and accurate the calculations. But there are is placed above 1.26 on the lower scale on the main body subtraction. To make logarithms easier he limits to practicable lengths so various of the rule. The number 2 on the slide corresponds to devised rectangular rods inscribed with ingenious people devised ways of increas 2.52 on the lower scale, the number 4 to 5.04, and any numbers which became known as ing the scale while maintaining the device other number gives a multiple of 1.26. The line on the ‘Napier’s Bones’. By 1620, Edmund Gunter at a workable size. Several of these slide transparent cursor is at 4.1, giving the result of the had devised his ‘Gunter scale’, or Tine of rules became fairly popular, and included multiplication 1.26 x 4.1 as 5.15 (it should be 5.17 but the engraving is a little out).The longer the slide rule and numbers’, a plot of logarithms on a line. -
Leonhard Euler: His Life, the Man, and His Works∗
SIAM REVIEW c 2008 Walter Gautschi Vol. 50, No. 1, pp. 3–33 Leonhard Euler: His Life, the Man, and His Works∗ Walter Gautschi† Abstract. On the occasion of the 300th anniversary (on April 15, 2007) of Euler’s birth, an attempt is made to bring Euler’s genius to the attention of a broad segment of the educated public. The three stations of his life—Basel, St. Petersburg, andBerlin—are sketchedandthe principal works identified in more or less chronological order. To convey a flavor of his work andits impact on modernscience, a few of Euler’s memorable contributions are selected anddiscussedinmore detail. Remarks on Euler’s personality, intellect, andcraftsmanship roundout the presentation. Key words. LeonhardEuler, sketch of Euler’s life, works, andpersonality AMS subject classification. 01A50 DOI. 10.1137/070702710 Seh ich die Werke der Meister an, So sehe ich, was sie getan; Betracht ich meine Siebensachen, Seh ich, was ich h¨att sollen machen. –Goethe, Weimar 1814/1815 1. Introduction. It is a virtually impossible task to do justice, in a short span of time and space, to the great genius of Leonhard Euler. All we can do, in this lecture, is to bring across some glimpses of Euler’s incredibly voluminous and diverse work, which today fills 74 massive volumes of the Opera omnia (with two more to come). Nine additional volumes of correspondence are planned and have already appeared in part, and about seven volumes of notebooks and diaries still await editing! We begin in section 2 with a brief outline of Euler’s life, going through the three stations of his life: Basel, St. -
RATIO and PERCENT Grade Level: Fifth Grade Written By: Susan Pope, Bean Elementary, Lubbock, TX Length of Unit: Two/Three Weeks
RATIO AND PERCENT Grade Level: Fifth Grade Written by: Susan Pope, Bean Elementary, Lubbock, TX Length of Unit: Two/Three Weeks I. ABSTRACT A. This unit introduces the relationships in ratios and percentages as found in the Fifth Grade section of the Core Knowledge Sequence. This study will include the relationship between percentages to fractions and decimals. Finally, this study will include finding averages and compiling data into various graphs. II. OVERVIEW A. Concept Objectives for this unit: 1. Students will understand and apply basic and advanced properties of the concept of ratios and percents. 2. Students will understand the general nature and uses of mathematics. B. Content from the Core Knowledge Sequence: 1. Ratio and Percent a. Ratio (p. 123) • determine and express simple ratios, • use ratio to create a simple scale drawing. • Ratio and rate: solve problems on speed as a ratio, using formula S = D/T (or D = R x T). b. Percent (p. 123) • recognize the percent sign (%) and understand percent as “per hundred” • express equivalences between fractions, decimals, and percents, and know common equivalences: 1/10 = 10% ¼ = 25% ½ = 50% ¾ = 75% find the given percent of a number. C. Skill Objectives 1. Mathematics a. Compare two fractional quantities in problem-solving situations using a variety of methods, including common denominators b. Use models to relate decimals to fractions that name tenths, hundredths, and thousandths c. Use fractions to describe the results of an experiment d. Use experimental results to make predictions e. Use table of related number pairs to make predictions f. Graph a given set of data using an appropriate graphical representation such as a picture or line g. -
Optimizing MPC for Robust and Scalable Integer and Floating-Point Arithmetic
Optimizing MPC for robust and scalable integer and floating-point arithmetic Liisi Kerik1, Peeter Laud1, and Jaak Randmets1,2 1 Cybernetica AS, Tartu, Estonia 2 University of Tartu, Tartu, Estonia {liisi.kerik, peeter.laud, jaak.randmets}@cyber.ee Abstract. Secure multiparty computation (SMC) is a rapidly matur- ing field, but its number of practical applications so far has been small. Most existing applications have been run on small data volumes with the exception of a recent study processing tens of millions of education and tax records. For practical usability, SMC frameworks must be able to work with large collections of data and perform reliably under such conditions. In this work we demonstrate that with the help of our re- cently developed tools and some optimizations, the Sharemind secure computation framework is capable of executing tens of millions integer operations or hundreds of thousands floating-point operations per sec- ond. We also demonstrate robustness in handling a billion integer inputs and a million floating-point inputs in parallel. Such capabilities are ab- solutely necessary for real world deployments. Keywords: Secure Multiparty Computation, Floating-point operations, Protocol design 1 Introduction Secure multiparty computation (SMC) [19] allows a group of mutually distrust- ing entities to perform computations on data private to various members of the group, without others learning anything about that data or about the intermedi- ate values in the computation. Theory-wise, the field is quite mature; there exist several techniques to achieve privacy and correctness of any computation [19, 28, 15, 16, 21], and the asymptotic overheads of these techniques are known. -
Calculus Terminology
AP Calculus BC Calculus Terminology Absolute Convergence Asymptote Continued Sum Absolute Maximum Average Rate of Change Continuous Function Absolute Minimum Average Value of a Function Continuously Differentiable Function Absolutely Convergent Axis of Rotation Converge Acceleration Boundary Value Problem Converge Absolutely Alternating Series Bounded Function Converge Conditionally Alternating Series Remainder Bounded Sequence Convergence Tests Alternating Series Test Bounds of Integration Convergent Sequence Analytic Methods Calculus Convergent Series Annulus Cartesian Form Critical Number Antiderivative of a Function Cavalieri’s Principle Critical Point Approximation by Differentials Center of Mass Formula Critical Value Arc Length of a Curve Centroid Curly d Area below a Curve Chain Rule Curve Area between Curves Comparison Test Curve Sketching Area of an Ellipse Concave Cusp Area of a Parabolic Segment Concave Down Cylindrical Shell Method Area under a Curve Concave Up Decreasing Function Area Using Parametric Equations Conditional Convergence Definite Integral Area Using Polar Coordinates Constant Term Definite Integral Rules Degenerate Divergent Series Function Operations Del Operator e Fundamental Theorem of Calculus Deleted Neighborhood Ellipsoid GLB Derivative End Behavior Global Maximum Derivative of a Power Series Essential Discontinuity Global Minimum Derivative Rules Explicit Differentiation Golden Spiral Difference Quotient Explicit Function Graphic Methods Differentiable Exponential Decay Greatest Lower Bound Differential