1 Review of Complex Numbers
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Niobrara County School District #1 Curriculum Guide
NIOBRARA COUNTY SCHOOL DISTRICT #1 CURRICULUM GUIDE th SUBJECT: Math Algebra II TIMELINE: 4 quarter Domain: Student Friendly Level of Resource Academic Standard: Learning Objective Thinking Correlation/Exemplar Vocabulary [Assessment] [Mathematical Practices] Domain: Perform operations on matrices and use matrices in applications. Standards: N-VM.6.Use matrices to I can represent and Application Pearson Alg. II Textbook: Matrix represent and manipulated data, e.g., manipulate data to represent --Lesson 12-2 p. 772 (Matrices) to represent payoffs or incidence data. M --Concept Byte 12-2 p. relationships in a network. 780 Data --Lesson 12-5 p. 801 [Assessment]: --Concept Byte 12-2 p. 780 [Mathematical Practices]: Niobrara County School District #1, Fall 2012 Page 1 NIOBRARA COUNTY SCHOOL DISTRICT #1 CURRICULUM GUIDE th SUBJECT: Math Algebra II TIMELINE: 4 quarter Domain: Student Friendly Level of Resource Academic Standard: Learning Objective Thinking Correlation/Exemplar Vocabulary [Assessment] [Mathematical Practices] Domain: Perform operations on matrices and use matrices in applications. Standards: N-VM.7. Multiply matrices I can multiply matrices by Application Pearson Alg. II Textbook: Scalars by scalars to produce new matrices, scalars to produce new --Lesson 12-2 p. 772 e.g., as when all of the payoffs in a matrices. M --Lesson 12-5 p. 801 game are doubled. [Assessment]: [Mathematical Practices]: Domain: Perform operations on matrices and use matrices in applications. Standards:N-VM.8.Add, subtract and I can perform operations on Knowledge Pearson Alg. II Common Matrix multiply matrices of appropriate matrices and reiterate the Core Textbook: Dimensions dimensions. limitations on matrix --Lesson 12-1p. 764 [Assessment]: dimensions. -
Complex Eigenvalues
Quantitative Understanding in Biology Module III: Linear Difference Equations Lecture II: Complex Eigenvalues Introduction In the previous section, we considered the generalized two- variable system of linear difference equations, and showed that the eigenvalues of these systems are given by the equation… ± 2 4 = 1,2 2 √ − …where b = (a11 + a22), c=(a22 ∙ a11 – a12 ∙ a21), and ai,j are the elements of the 2 x 2 matrix that define the linear system. Inspecting this relation shows that it is possible for the eigenvalues of such a system to be complex numbers. Because our plants and seeds model was our first look at these systems, it was carefully constructed to avoid this complication [exercise: can you show that http://www.xkcd.org/179 this model cannot produce complex eigenvalues]. However, many systems of biological interest do have complex eigenvalues, so it is important that we understand how to deal with and interpret them. We’ll begin with a review of the basic algebra of complex numbers, and then consider their meaning as eigenvalues of dynamical systems. A Review of Complex Numbers You may recall that complex numbers can be represented with the notation a+bi, where a is the real part of the complex number, and b is the imaginary part. The symbol i denotes 1 (recall i2 = -1, i3 = -i and i4 = +1). Hence, complex numbers can be thought of as points on a complex plane, which has real √− and imaginary axes. In some disciplines, such as electrical engineering, you may see 1 represented by the symbol j. √− This geometric model of a complex number suggests an alternate, but equivalent, representation. -
Introduction Into Quaternions for Spacecraft Attitude Representation
Introduction into quaternions for spacecraft attitude representation Dipl. -Ing. Karsten Groÿekatthöfer, Dr. -Ing. Zizung Yoon Technical University of Berlin Department of Astronautics and Aeronautics Berlin, Germany May 31, 2012 Abstract The purpose of this paper is to provide a straight-forward and practical introduction to quaternion operation and calculation for rigid-body attitude representation. Therefore the basic quaternion denition as well as transformation rules and conversion rules to or from other attitude representation parameters are summarized. The quaternion computation rules are supported by practical examples to make each step comprehensible. 1 Introduction Quaternions are widely used as attitude represenation parameter of rigid bodies such as space- crafts. This is due to the fact that quaternion inherently come along with some advantages such as no singularity and computationally less intense compared to other attitude parameters such as Euler angles or a direction cosine matrix. Mainly, quaternions are used to • Parameterize a spacecraft's attitude with respect to reference coordinate system, • Propagate the attitude from one moment to the next by integrating the spacecraft equa- tions of motion, • Perform a coordinate transformation: e.g. calculate a vector in body xed frame from a (by measurement) known vector in inertial frame. However, dierent references use several notations and rules to represent and handle attitude in terms of quaternions, which might be confusing for newcomers [5], [4]. Therefore this article gives a straight-forward and clearly notated introduction into the subject of quaternions for attitude representation. The attitude of a spacecraft is its rotational orientation in space relative to a dened reference coordinate system. -
COMPLEX EIGENVALUES Math 21B, O. Knill
COMPLEX EIGENVALUES Math 21b, O. Knill NOTATION. Complex numbers are written as z = x + iy = r exp(iφ) = r cos(φ) + ir sin(φ). The real number r = z is called the absolute value of z, the value φ isjthej argument and denoted by arg(z). Complex numbers contain the real numbers z = x+i0 as a subset. One writes Re(z) = x and Im(z) = y if z = x + iy. ARITHMETIC. Complex numbers are added like vectors: x + iy + u + iv = (x + u) + i(y + v) and multiplied as z w = (x + iy)(u + iv) = xu yv + i(yu xv). If z = 0, one can divide 1=z = 1=(x + iy) = (x iy)=(x2 + y2). ∗ − − 6 − ABSOLUTE VALUE AND ARGUMENT. The absolute value z = x2 + y2 satisfies zw = z w . The argument satisfies arg(zw) = arg(z) + arg(w). These are direct jconsequencesj of the polarj represenj j jtationj j z = p r exp(iφ); w = s exp(i ); zw = rs exp(i(φ + )). x GEOMETRIC INTERPRETATION. If z = x + iy is written as a vector , then multiplication with an y other complex number w is a dilation-rotation: a scaling by w and a rotation by arg(w). j j THE DE MOIVRE FORMULA. zn = exp(inφ) = cos(nφ) + i sin(nφ) = (cos(φ) + i sin(φ))n follows directly from z = exp(iφ) but it is magic: it leads for example to formulas like cos(3φ) = cos(φ)3 3 cos(φ) sin2(φ) which would be more difficult to come by using geometrical or power series arguments. -
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 -
Complex Numbers Sigma-Complex3-2009-1 in This Unit We Describe Formally What Is Meant by a Complex Number
Complex numbers sigma-complex3-2009-1 In this unit we describe formally what is meant by a complex number. First let us revisit the solution of a quadratic equation. Example Use the formula for solving a quadratic equation to solve x2 10x +29=0. − Solution Using the formula b √b2 4ac x = − ± − 2a with a =1, b = 10 and c = 29, we find − 10 p( 10)2 4(1)(29) x = ± − − 2 10 √100 116 x = ± − 2 10 √ 16 x = ± − 2 Now using i we can find the square root of 16 as 4i, and then write down the two solutions of the equation. − 10 4 i x = ± =5 2 i 2 ± The solutions are x = 5+2i and x =5-2i. Real and imaginary parts We have found that the solutions of the equation x2 10x +29=0 are x =5 2i. The solutions are known as complex numbers. A complex number− such as 5+2i is made up± of two parts, a real part 5, and an imaginary part 2. The imaginary part is the multiple of i. It is common practice to use the letter z to stand for a complex number and write z = a + b i where a is the real part and b is the imaginary part. Key Point If z is a complex number then we write z = a + b i where i = √ 1 − where a is the real part and b is the imaginary part. www.mathcentre.ac.uk 1 c mathcentre 2009 Example State the real and imaginary parts of 3+4i. -
How to Enter Answers in Webwork
Introduction to WeBWorK 1 How to Enter Answers in WeBWorK Addition + a+b gives ab Subtraction - a-b gives ab Multiplication * a*b gives ab Multiplication may also be indicated by a space or juxtaposition, such as 2x, 2 x, 2*x, or 2(x+y). Division / a a/b gives b Exponents ^ or ** a^b gives ab as does a**b Parentheses, brackets, etc (...), [...], {...} Syntax for entering expressions Be careful entering expressions just as you would be careful entering expressions in a calculator. Sometimes using the * symbol to indicate multiplication makes things easier to read. For example (1+2)*(3+4) and (1+2)(3+4) are both valid. So are 3*4 and 3 4 (3 space 4, not 34) but using an explicit multiplication symbol makes things clearer. Use parentheses (), brackets [], and curly braces {} to make your meaning clear. Do not enter 2/4+5 (which is 5 ½ ) when you really want 2/(4+5) (which is 2/9). Do not enter 2/3*4 (which is 8/3) when you really want 2/(3*4) (which is 2/12). Entering big quotients with square brackets, e.g. [1+2+3+4]/[5+6+7+8], is a good practice. Be careful when entering functions. It is always good practice to use parentheses when entering functions. Write sin(t) instead of sint or sin t. WeBWorK has been programmed to accept sin t or even sint to mean sin(t). But sin 2t is really sin(2)t, i.e. (sin(2))*t. Be careful. Be careful entering powers of trigonometric, and other, functions. -
Calculus Formulas and Theorems
Formulas and Theorems for Reference I. Tbigonometric Formulas l. sin2d+c,cis2d:1 sec2d l*cot20:<:sc:20 +.I sin(-d) : -sitt0 t,rs(-//) = t r1sl/ : -tallH 7. sin(A* B) :sitrAcosB*silBcosA 8. : siri A cos B - siu B <:os,;l 9. cos(A+ B) - cos,4cos B - siuA siriB 10. cos(A- B) : cosA cosB + silrA sirrB 11. 2 sirrd t:osd 12. <'os20- coS2(i - siu20 : 2<'os2o - I - 1 - 2sin20 I 13. tan d : <.rft0 (:ost/ I 14. <:ol0 : sirrd tattH 1 15. (:OS I/ 1 16. cscd - ri" 6i /F tl r(. cos[I ^ -el : sitt d \l 18. -01 : COSA 215 216 Formulas and Theorems II. Differentiation Formulas !(r") - trr:"-1 Q,:I' ]tra-fg'+gf' gJ'-,f g' - * (i) ,l' ,I - (tt(.r))9'(.,') ,i;.[tyt.rt) l'' d, \ (sttt rrJ .* ('oqI' .7, tJ, \ . ./ stll lr dr. l('os J { 1a,,,t,:r) - .,' o.t "11'2 1(<,ot.r') - (,.(,2.r' Q:T rl , (sc'c:.r'J: sPl'.r tall 11 ,7, d, - (<:s<t.r,; - (ls(].]'(rot;.r fr("'),t -.'' ,1 - fr(u") o,'ltrc ,l ,, 1 ' tlll ri - (l.t' .f d,^ --: I -iAl'CSllLl'l t!.r' J1 - rz 1(Arcsi' r) : oT Il12 Formulas and Theorems 2I7 III. Integration Formulas 1. ,f "or:artC 2. [\0,-trrlrl *(' .t "r 3. [,' ,t.,: r^x| (' ,I 4. In' a,,: lL , ,' .l 111Q 5. In., a.r: .rhr.r' .r r (' ,l f 6. sirr.r d.r' - ( os.r'-t C ./ 7. /.,,.r' dr : sitr.i'| (' .t 8. tl:r:hr sec,rl+ C or ln Jccrsrl+ C ,f'r^rr f 9. -
Supplement 1: Toolkit Functions
Supplement 1: Toolkit Functions What is a Function? The natural world is full of relationships between quantities that change. When we see these relationships, it is natural for us to ask “If I know one quantity, can I then determine the other?” This establishes the idea of an input quantity, or independent variable, and a corresponding output quantity, or dependent variable. From this we get the notion of a functional relationship in which the output can be determined from the input. For some quantities, like height and age, there are certainly relationships between these quantities. Given a specific person and any age, it is easy enough to determine their height, but if we tried to reverse that relationship and determine age from a given height, that would be problematic, since most people maintain the same height for many years. Function Function: A rule for a relationship between an input, or independent, quantity and an output, or dependent, quantity in which each input value uniquely determines one output value. We say “the output is a function of the input.” Function Notation The notation output = f(input) defines a function named f. This would be read “output is f of input” Graphs as Functions Oftentimes a graph of a relationship can be used to define a function. By convention, graphs are typically created with the input quantity along the horizontal axis and the output quantity along the vertical. The most common graph has y on the vertical axis and x on the horizontal axis, and we say y is a function of x, or y = f(x) when the function is named f. -
Section 1.4 Absolute Value
Section 1.4 Absolute Value Geometric Definition of Absolute Value As we study the number line, we observe a very useful property called symmetry. The numbers are symmetrical with respect to the origin. That is, if we go four units to the right of 0, we come to the number 4. If we go four units to the lest of 0 we come to the opposite of 4 which is −4 The absolute value of a number a, denoted |a|, is the distance from a to 0 on the number line. Absolute value speaks to the question of "how far," and not "which way." The phrase how far implies length, and length is always a nonnegative (zero or positive) quantity. Thus, the absolute value of a number is a nonnegative number. This is shown in the following examples: Example 1 1 Algebraic Definition of Absolute Value The absolute value of a number a is aaif 0 | a | aaif 0 The algebraic definition takes into account the fact that the number a could be either positive or zero (≥0) or negative (<0) 1) If the number a is positive or zero (≥ 0), the first part of the definition applies. The first part of the definition tells us that if the number enclosed in the absolute bars is a nonnegative number, the absolute value of the number is the number itself. 2) If the number a is negative (< 0), the second part of the definition applies. The second part of the definition tells us that if the number enclosed within the absolute value bars is a negative number, the absolute value of the number is the opposite of the number. -
A Tutorial on Euler Angles and Quaternions
A Tutorial on Euler Angles and Quaternions Moti Ben-Ari Department of Science Teaching Weizmann Institute of Science http://www.weizmann.ac.il/sci-tea/benari/ Version 2.0.1 c 2014–17 by Moti Ben-Ari. This work is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/ by-sa/3.0/ or send a letter to Creative Commons, 444 Castro Street, Suite 900, Mountain View, California, 94041, USA. Chapter 1 Introduction You sitting in an airplane at night, watching a movie displayed on the screen attached to the seat in front of you. The airplane gently banks to the left. You may feel the slight acceleration, but you won’t see any change in the position of the movie screen. Both you and the screen are in the same frame of reference, so unless you stand up or make another move, the position and orientation of the screen relative to your position and orientation won’t change. The same is not true with respect to your position and orientation relative to the frame of reference of the earth. The airplane is moving forward at a very high speed and the bank changes your orientation with respect to the earth. The transformation of coordinates (position and orientation) from one frame of reference is a fundamental operation in several areas: flight control of aircraft and rockets, move- ment of manipulators in robotics, and computer graphics. This tutorial introduces the mathematics of rotations using two formalisms: (1) Euler angles are the angles of rotation of a three-dimensional coordinate frame. -
1 Last Time: Complex Eigenvalues
MATH 2121 | Linear algebra (Fall 2017) Lecture 19 1 Last time: complex eigenvalues Write C for the set of complex numbers fa + bi : a; b 2 Rg. Each complex number is a formal linear combination of two real numbers a + bi. The symbol i is defined as the square root of −1, so i2 = −1. We add complex numbers like this: (a + bi) + (c + di) = (a + c) + (b + d)i: We multiply complex numbers just like polynomials, but substituting −1 for i2: (a + bi)(c + di) = ac + (ad + bc)i + bd(i2) = (ac − bd) + (ad + bc)i: The order of multiplication doesn't matter since (a + bi)(c + di) = (c + di)(a + bi). a Draw a + bi 2 as the vector 2 2. C b R Theorem (Fundamental theorem of algebra). Suppose n n−1 p(x) = anx + an−1x + : : : a1x + a0 is a polynomial of degree n (meaning an 6= 0) with coefficients a0; a1; : : : ; an 2 C. Then there are n (not necessarily distinct) numbers r1; r2; : : : ; rn 2 C such that n p(x) = (−1) an(r1 − x)(r2 − x) ··· (rn − x): One calls the numbers r1; r2; : : : ; rn the roots of p(x). A root r has multiplicity m if exactly m of the numbers r1; r2; : : : ; rn are equal to r. Define Cn as the set of vectors with n-rows and entries in C, that is: 82 3 9 v1 > > <>6 v2 7 => n = 6 7 : v ; v ; : : : ; v 2 : C 6 : 7 1 2 n C >4 : 5 > > > : vn ; We have Rn ⊂ Cn.