Complex Numbers in Polar Form; Demoivre's Theorem
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Section 2.6 Cylindrical and Spherical Coordinates
Section 2.6 Cylindrical and Spherical Coordinates A) Review on the Polar Coordinates The polar coordinate system consists of the origin O,the rotating ray or half line from O with unit tick. A point P in the plane can be uniquely described by its distance to the origin r = dist (P, O) and the angle µ, 0 µ < 2¼ : · Y P(x,y) r θ O X We call (r, µ) the polar coordinate of P. Suppose that P has Cartesian (stan- dard rectangular) coordinate (x, y) .Then the relation between two coordinate systems is displayed through the following conversion formula: x = r cos µ Polar Coord. to Cartesian Coord.: y = r sin µ ½ r = x2 + y2 Cartesian Coord. to Polar Coord.: y tan µ = ( p x 0 µ < ¼ if y > 0, 2¼ µ < ¼ if y 0. · · · Note that function tan µ has period ¼, and the principal value for inverse tangent function is ¼ y ¼ < arctan < . ¡ 2 x 2 1 So the angle should be determined by y arctan , if x > 0 xy 8 arctan + ¼, if x < 0 µ = > ¼ x > > , if x = 0, y > 0 < 2 ¼ , if x = 0, y < 0 > ¡ 2 > > Example 6.1. Fin:>d (a) Cartesian Coord. of P whose Polar Coord. is ¼ 2, , and (b) Polar Coord. of Q whose Cartesian Coord. is ( 1, 1) . 3 ¡ ¡ ³ So´l. (a) ¼ x = 2 cos = 1, 3 ¼ y = 2 sin = p3. 3 (b) r = p1 + 1 = p2 1 ¼ ¼ 5¼ tan µ = ¡ = 1 = µ = or µ = + ¼ = . 1 ) 4 4 4 ¡ 5¼ Since ( 1, 1) is in the third quadrant, we choose µ = so ¡ ¡ 4 5¼ p2, is Polar Coord. -
Designing Patterns with Polar Equations Using Maple
Designing Patterns with Polar Equations using Maple Somasundaram Velummylum Claflin University Department of Mathematics and Computer Science 400 Magnolia St Orangeburg, South Carolina 29115 U.S.A [email protected] The Cartesian coordinates and polar coordinates can be used to identify a point in two dimensions. The polar coordinate system has a fixed point O called the origin or pole and a directed half –line called the polar axis with end point O. A point P on the plane can be described by the polar coordinates ( r, θ ), where r is the radial distance from the origin and θ is the angle made by OP with the polar axis. Several important types of graphs have equations that are simpler in polar form than in rectangular form. For example, the polar equation of a circle having radius a and centered at the origin is simply r = a. In other words , polar coordinate system is useful in describing two dimensional regions that may be difficult to describe using Cartesian coordinates. For example, graphing the circle x 2 + y 2 = a 2 in Cartesian coordinates requires two functions, one for the upper half and one for the lower half. In polar coordinate system, the same circle has the very simple representation r = a. Maple can be used to create patterns in two dimensions using polar coordinate system. When we try to analyze two dimensional patterns mathematically it will be helpful if we can draw a set of patterns in different colors using the help of technology. To investigate and compare some patterns we will go through some examples of cardioids and rose curves that are drawn using Maple. -
Finding Pi Project
Name: ________________________ Finding Pi - Activity Objective: You may already know that pi (π) is a number that is approximately equal to 3.14. But do you know where the number comes from? Let's measure some round objects and find out. Materials: • 6 circular objects Some examples include a bicycle wheel, kiddie pool, trash can lid, DVD, steering wheel, or clock face. Be sure each object you choose is shaped like a perfect circle. • metric tape measure Be sure your tape measure has centimeters on it. • calculator It will save you some time because dividing with decimals can be tricky. • “Finding Pi - Table” worksheet It may be attached to this page, or on the back. What to do: Step 1: Choose one of your circular objects. Write the name of the object on the “Finding Pi” table. Step 2: With the centimeter side of your tape measure, accurately measure the distance around the outside of the circle (the circumference). Record your measurement on the table. Step 3: Next, measure the distance across the middle of the object (the diameter). Record your measurement on the table. Step 4: Use your calculator to divide the circumference by the diameter. Write the answer on the table. If you measured carefully, the answer should be about 3.14, or π. Repeat steps 1 through 4 for each object. Super Teacher Worksheets - www.superteacherworksheets.com Name: ________________________ “Finding Pi” Table Measure circular objects and complete the table below. If your measurements are accurate, you should be able to calculate the number pi (3.14). Is your answer name of circumference diameter circumference ÷ approximately circular object measurement (cm) measurement (cm) diameter equal to π? 1. -
Evaluating Fourier Transforms with MATLAB
ECE 460 – Introduction to Communication Systems MATLAB Tutorial #2 Evaluating Fourier Transforms with MATLAB In class we study the analytic approach for determining the Fourier transform of a continuous time signal. In this tutorial numerical methods are used for finding the Fourier transform of continuous time signals with MATLAB are presented. Using MATLAB to Plot the Fourier Transform of a Time Function The aperiodic pulse shown below: x(t) 1 t -2 2 has a Fourier transform: X ( jf ) = 4sinc(4π f ) This can be found using the Table of Fourier Transforms. We can use MATLAB to plot this transform. MATLAB has a built-in sinc function. However, the definition of the MATLAB sinc function is slightly different than the one used in class and on the Fourier transform table. In MATLAB: sin(π x) sinc(x) = π x Thus, in MATLAB we write the transform, X, using sinc(4f), since the π factor is built in to the function. The following MATLAB commands will plot this Fourier Transform: >> f=-5:.01:5; >> X=4*sinc(4*f); >> plot(f,X) In this case, the Fourier transform is a purely real function. Thus, we can plot it as shown above. In general, Fourier transforms are complex functions and we need to plot the amplitude and phase spectrum separately. This can be done using the following commands: >> plot(f,abs(X)) >> plot(f,angle(X)) Note that the angle is either zero or π. This reflects the positive and negative values of the transform function. Performing the Fourier Integral Numerically For the pulse presented above, the Fourier transform can be found easily using the table. -
Polar Coordinates and Calculus.Wxp
Polar Coordinates and Calculus Recall that in the Polar coordinate system the coordinates ) represent <ß the directed distance from the pole to the point and the directed angle, counterclockwise from the polar axis to the segment from the pole to the point. A polar function would be of the form: ) . < œ 0 To find the slope of the tangent line of a polar graph we will parameterize the equation. ) ( Assume is a differentiable function of ) ) <œ0 0 ¾Bœ<cos))) œ0 cos and Cœ< sin ))) œ0 sin . .C .C .) Recall also that œ .B .B .) 1Þ Find the derivative of < œ # sin ) Remember that horizontal tangent lines occur when and that vertical tangent lines occur when page 1 2 Find the HTL and VTL for cos ) and sketch the graph. Þ < œ # " page 2 Recall our formula for the derivative of a function in polar coordinates. Since Bœ<cos))) œ0 cos and Cœ< sin ))) œ0 sin , we can conclude .C .C .) that œ.B œ .B .) Solutions obtained by setting < œ ! gives equations of tangent lines through the pole. 3Þ Find the equations of the tangent line(s) through the pole if <œ#sin #Þ) page 3 To find the arc length of a polar curve, you have two options. 1) You can use the parametrization of the polar curve: cos))) cos and sin ))) sin Bœ< œ0 Cœ< œ0 then use the arc length formula for parametric curves: " w # w # 'α ÈÐBÐ) ÑÑ ÐCÐ ) ÑÑ . ) or, 2) You can use an alternative formula for arc length in polar form: " <# Ð.< Ñ # . -
MATLAB Examples Mathematics
MATLAB Examples Mathematics Hans-Petter Halvorsen, M.Sc. Mathematics with MATLAB • MATLAB is a powerful tool for mathematical calculations. • Type “help elfun” (elementary math functions) in the Command window for more information about basic mathematical functions. Mathematics Topics • Basic Math Functions and Expressions � = 3�% + ) �% + �% + �+,(.) • Statistics – mean, median, standard deviation, minimum, maximum and variance • Trigonometric Functions sin() , cos() , tan() • Complex Numbers � = � + �� • Polynomials = =>< � � = �<� + �%� + ⋯ + �=� + �=@< Basic Math Functions Create a function that calculates the following mathematical expression: � = 3�% + ) �% + �% + �+,(.) We will test with different values for � and � We create the function: function z=calcexpression(x,y) z=3*x^2 + sqrt(x^2+y^2)+exp(log(x)); Testing the function gives: >> x=2; >> y=2; >> calcexpression(x,y) ans = 16.8284 Statistics Functions • MATLAB has lots of built-in functions for Statistics • Create a vector with random numbers between 0 and 100. Find the following statistics: mean, median, standard deviation, minimum, maximum and the variance. >> x=rand(100,1)*100; >> mean(x) >> median(x) >> std(x) >> mean(x) >> min(x) >> max(x) >> var(x) Trigonometric functions sin(�) cos(�) tan(�) Trigonometric functions It is quite easy to convert from radians to degrees or from degrees to radians. We have that: 2� ������� = 360 ������� This gives: 180 � ������� = �[�������] M � � �[�������] = �[�������] M 180 → Create two functions that convert from radians to degrees (r2d(x)) and from degrees to radians (d2r(x)) respectively. Test the functions to make sure that they work as expected. The functions are as follows: function d = r2d(r) d=r*180/pi; function r = d2r(d) r=d*pi/180; Testing the functions: >> r2d(2*pi) ans = 360 >> d2r(180) ans = 3.1416 Trigonometric functions Given right triangle: • Create a function that finds the angle A (in degrees) based on input arguments (a,c), (b,c) and (a,b) respectively. -
Classical Mechanics Lecture Notes POLAR COORDINATES
PHYS 419: Classical Mechanics Lecture Notes POLAR COORDINATES A vector in two dimensions can be written in Cartesian coordinates as r = xx^ + yy^ (1) where x^ and y^ are unit vectors in the direction of Cartesian axes and x and y are the components of the vector, see also the ¯gure. It is often convenient to use coordinate systems other than the Cartesian system, in particular we will often use polar coordinates. These coordinates are speci¯ed by r = jrj and the angle Á between r and x^, see the ¯gure. The relations between the polar and Cartesian coordinates are very simple: x = r cos Á y = r sin Á and p y r = x2 + y2 Á = arctan : x The unit vectors of polar coordinate system are denoted by r^ and Á^. The former one is de¯ned accordingly as r r^ = (2) r Since r = r cos Á x^ + r sin Á y^; r^ = cos Á x^ + sin Á y^: The simplest way to de¯ne Á^ is to require it to be orthogonal to r^, i.e., to have r^ ¢ Á^ = 0. This gives the condition cos ÁÁx + sin ÁÁy = 0: 1 The simplest solution is Áx = ¡ sin Á and Áy = cos Á or a solution with signs reversed. This gives Á^ = ¡ sin Á x^ + cos Á y^: This vector has unit length Á^ ¢ Á^ = sin2 Á + cos2 Á = 1: The unit vectors are marked on the ¯gure. With our choice of sign, Á^ points in the direc- tion of increasing angle Á. Notice that r^ and Á^ are drawn from the position of the point considered. -
36 Surprising Facts About Pi
36 Surprising Facts About Pi piday.org/pi-facts Pi is the most studied number in mathematics. And that is for a good reason. The number pi is an integral part of many incredible creations including the Pyramids of Giza. Yes, that’s right. Here are 36 facts you will love about pi. 1. The symbol for Pi has been in use for over 250 years. The symbol was introduced by William Jones, an Anglo-Welsh philologist in 1706 and made popular by the mathematician Leonhard Euler. 2. Since the exact value of pi can never be calculated, we can never find the accurate area or circumference of a circle. 3. March 14 or 3/14 is celebrated as pi day because of the first 3.14 are the first digits of pi. Many math nerds around the world love celebrating this infinitely long, never-ending number. 1/8 4. The record for reciting the most number of decimal places of Pi was achieved by Rajveer Meena at VIT University, Vellore, India on 21 March 2015. He was able to recite 70,000 decimal places. To maintain the sanctity of the record, Rajveer wore a blindfold throughout the duration of his recall, which took an astonishing 10 hours! Can’t believe it? Well, here is the evidence: https://twitter.com/GWR/status/973859428880535552 5. If you aren’t a math geek, you would be surprised to know that we can’t find the true value of pi. This is because it is an irrational number. But this makes it an interesting number as mathematicians can express π as sequences and algorithms. -
Double Factorial Binomial Coefficients Mitsuki Hanada Submitted in Partial Fulfillment of the Prerequisite for Honors in The
Double Factorial Binomial Coefficients Mitsuki Hanada Submitted in Partial Fulfillment of the Prerequisite for Honors in the Wellesley College Department of Mathematics under the advisement of Alexander Diesl May 2021 c 2021 Mitsuki Hanada ii Double Factorial Binomial Coefficients Abstract Binomial coefficients are a concept familiar to most mathematics students. In particular, n the binomial coefficient k is most often used when counting the number of ways of choosing k out of n distinct objects. These binomial coefficients are well studied in mathematics due to the many interesting properties they have. For example, they make up the entries of Pascal's Triangle, which has many recursive and combinatorial properties regarding different columns of the triangle. Binomial coefficients are defined using factorials, where n! for n 2 Z>0 is defined to be the product of all the positive integers up to n. One interesting variation of the factorial is the double factorial (n!!), which is defined to be the product of every other positive integer up to n. We can use double factorials in the place of factorials to define double factorial binomial coefficients (DFBCs). Though factorials and double factorials look very similar, when we use double factorials to define binomial coefficients, we lose many important properties that traditional binomial coefficients have. For example, though binomial coefficients are always defined to be integers, we can easily determine that this is not the case for DFBCs. In this thesis, we will discuss the different forms that these coefficients can take. We will also focus on different properties that binomial coefficients have, such as the Chu-Vandermonde Identity and the recursive relation illustrated by Pascal's Triangle, and determine whether there exists analogous results for DFBCs. -
Section 6.7 Polar Coordinates 113
Section 6.7 Polar Coordinates 113 Course Number Section 6.7 Polar Coordinates Instructor Objective: In this lesson you learned how to plot points in the polar coordinate system and write equations in polar form. Date I. Introduction (Pages 476-477) What you should learn How to plot points in the To form the polar coordinate system in the plane, fix a point O, polar coordinate system called the pole or origin , and construct from O an initial ray called the polar axis . Then each point P in the plane can be assigned polar coordinates as follows: 1) r = directed distance from O to P 2) q = directed angle, counterclockwise from polar axis to the segment from O to P In the polar coordinate system, points do not have a unique representation. For instance, the point (r, q) can be represented as (r, q ± 2np) or (- r, q ± (2n + 1)p) , where n is any integer. Moreover, the pole is represented by (0, q), where q is any angle . Example 1: Plot the point (r, q) = (- 2, 11p/4) on the polar py/2 coordinate system. p x0 3p/2 Example 2: Find another polar representation of the point (4, p/6). Answers will vary. One such point is (- 4, 7p/6). Larson/Hostetler Trigonometry, Sixth Edition Student Success Organizer IAE Copyright © Houghton Mifflin Company. All rights reserved. 114 Chapter 6 Topics in Analytic Geometry II. Coordinate Conversion (Pages 477-478) What you should learn How to convert points The polar coordinates (r, q) are related to the rectangular from rectangular to polar coordinates (x, y) as follows . -
Numerous Proofs of Ζ(2) = 6
π2 Numerous Proofs of ζ(2) = 6 Brendan W. Sullivan April 15, 2013 Abstract In this talk, we will investigate how the late, great Leonhard Euler P1 2 2 originally proved the identity ζ(2) = n=1 1=n = π =6 way back in 1735. This will briefly lead us astray into the bewildering forest of com- plex analysis where we will point to some important theorems and lemmas whose proofs are, alas, too far off the beaten path. On our journey out of said forest, we will visit the temple of the Riemann zeta function and marvel at its significance in number theory and its relation to the prob- lem at hand, and we will bow to the uber-famously-unsolved Riemann hypothesis. From there, we will travel far and wide through the kingdom of analysis, whizzing through a number N of proofs of the same original fact in this talk's title, where N is not to exceed 5 but is no less than 3. Nothing beyond a familiarity with standard calculus and the notion of imaginary numbers will be presumed. Note: These were notes I typed up for myself to give this seminar talk. I only got through a portion of the material written down here in the actual presentation, so I figured I'd just share my notes and let you read through them. Many of these proofs were discovered in a survey article by Robin Chapman (linked below). I chose particular ones to work through based on the intended audience; I also added a section about justifying the sin(x) \factoring" as an infinite product (a fact upon which two of Euler's proofs depend) and one about the Riemann Zeta function and its use in number theory. -
Pi, Fourier Transform and Ludolph Van Ceulen
3rd TEMPUS-INTCOM Symposium, September 9-14, 2000, Veszprém, Hungary. 1 PI, FOURIER TRANSFORM AND LUDOLPH VAN CEULEN M.Vajta Department of Mathematical Sciences University of Twente P.O.Box 217, 7500 AE Enschede The Netherlands e-mail: [email protected] ABSTRACT The paper describes an interesting (and unexpected) application of the Fast Fourier transform in number theory. Calculating more and more decimals of p (first by hand and then from the mid-20th century, by digital computers) not only fascinated mathematicians from ancient times but kept them busy as well. They invented and applied hundreds of methods in the process but the known number of decimals remained only a couple of hundred as of the late 19th century. All that changed with the advent of the digital computers. And although digital computers made possible to calculate thousands of decimals, the underlying methods hardly changed and their convergence remained slow (linear). Until the 1970's. Then, in 1976, an innovative quadratic convergent formula (based on the method of algebraic-geometric mean) for the calculation of p was published independently by Brent [10] and Salamin [14]. After their breakthrough, the Borwein brothers soon developed cubically and quartically convergent algorithms [8,9]. In spite of the incredible fast convergence of these algorithms, it was the application of the Fast Fourier transform (for multiplication) which enhanced their efficiency and reduced computer time [2,12,15]. The author would like to dedicate this paper to the memory of Ludolph van Ceulen (1540-1610), who spent almost his whole life to calculate the first 35 decimals of p.