Absolute Value, 59, 116, 381 Derivative Of, 240 Acceleration, 310

Total Page:16

File Type:pdf, Size:1020Kb

Load more

Index absolute value, 59, 116, 381 arctan, 303 derivative of, 240 area acceleration, 310 as a number, 14 due to gravity, 310 assumptions about, 84, 85 addition law, 193, 199 between graphs, 184 addition of points, 68 area function, 84, 89 addition rule for area, 87 as an integral, 183 addition theorem for area, 372 of box, 14 additivity of area, 85 of circle, 181 almost disjoint sets, 88 of circular sector, 349 Analyst 223 of ellipse, 181 and (logical operator), 51 of parabola, 19, 20 antiderivative, 269, 328 of parabolic segment 30 theorem 270 of snowflake, 49 antidifferentiation of triangle, 99 formulas for, 331 under power function, 154 Maple commands for, 330 Aristotle(384-322 B.C.), 14, 223, 235 Apollonius (c 260-170 B.C.), 220 Aryabhat¯ .a (circa 510), 199 approachable point, 224 associative law approximation, 120 for numbers, 375 to n decimals, 121 for points, 69 strong approximation theorem, 122 assumptions about area, 84, 85 arc length, 191 average velocity, 235 arccos, 302 arccot, 304 Babylonians, 8, 24, 27, 35, 78 Archimedean property 380 Banach, Stefan(1892–1945), 86 Archimedes (287–212 B.C.), 4, 8, 9, Berkeley, George (1685-1753), 223 27, 29, 30, 35, 190, 200, 202, Bernoulli, Daniel(1700-1782), 304 209 Bernoulli,Jacob (1654-1705) 26, 127, arcsin, 303 149 between, 288 397 398 INDEX bijective, 292 conic section, 220 Bolzano, Bernard(1781-1848), 236, 287 conservation of energy, 312 bound for a function, 84 constant sequence, 127 bounded constructivists, 54 function, 84 continuity, 256 set, 84 on a set 256 box, 13 contrapositive 54 circumscribed, 22 convergent sequence 122, 125 Brouncker, William(1620-1684), 108 convex downward (spills water), 314 convex upward (holds water), 313 cancellation laws 377 cosh 305 Cantor, 13 cosine Cartesian product, 57 defined, 191 Cauuchy, Augustin(1789-1857), 65, 236 integral of 206, 208 Cavalieri,Bonaventura (1598-1647), 39 cot, 247 chain rule, 250 counterclockwise, 191 change of scale for integrals, 180 critical point, 263 chord of an arc, 199 critical point theorem I, 264 circle critical point theorem II, 265 area of, 181, 385 critical set, 263 circumference of, 385 csc, 247 defined, 80 unit, 80 decreasing function, 90 circular sector (area of), 349, 385 derivative 5, 6, 230 circumscribed fractional, 308 box, 22 higher order, 306 hexagon for snowflake, 49 of order 0, 306 clockwise, 191 of absolute value, 240 closed interval, 17 of arccos, 302 codomain, 58 of arcsin, 303 commutative law of arctan, 303 for numbers, 375 of arccot, 304 for points, 69 of ax, 301 composition of functions, 248, 259 of cos, 238 composition problem, 249 of cosh, 305 compound interest, 148 of exponential, 300 computer calculation of integrals, 113 of logarithm, 239 congruence problem, 86 of powers, 237 INDEX 399 of reciprocal, 246 Calculate ln(2), 106 of sin, 238 Composition problem, 249 1 of sinh, 305 lim{n n }, 148 of trigonometric functions, 247 Calculation of sines, 200 of xr 301 Discontinuous derivative problem, second 306 318 derived function 5 Falling bodies problem, 224 Descartes, Rene (1596-1660), 224 Bernoulli’s problem, 27 difference of sets, 16 Calculate e, 108 differential, 5, 242 Calculation of π, 8 differentiation, 5 Congruence problem, 86 logarithmic, 252 Pine Tree proble, 34 Dirichlet, P. G. Lejenue(1805-1859), 176 Square root problem, 9 discontinuous function, 258 Snowflake prioblem, 49 discreteness of Z, 380 end points of interval, 17 disjoint sets, 85 equal functions 60 almost disjoint sets, 88 equality 383 distance in Q, 381 between numbers, 117 of sets, 13 between points, 79 of propositions, 54 distributive law equation for line, 387 for numbers, 375 equivalent propositions, 52 for points, 69 error function, 330 Diver, Colin (1944-??), 399 etymology divergent sequence, 125 of corollary, 88 domain, 58 of sine, 199 double angle formulas, 195 Euclid (fl. c. 300 B.C.), 14, 35, 220, dummy 235 index, 15 Euler, Leonard (1707-1783), 62, 64, 127 variable 63, 167, 225 evalf, Maple command, 390 even function, 270 e, 108 exponential function, 293, 297 numerical calculation of, 147 derivative of 300 ellipse, area of, 181 exponents, laws of, 383 Emperor Yˇu(c.21st century B.C.), 78 exterme point, 261 entertainments local, 264 Archimedes sine integral, 211 extreme value property, 263 Area of a triangle, 99 400 INDEX fluxion, 5, 242 induction, 65 Fourier, Joseph (1768–1830), 161, 309 inequalities, 380 fractional derivatives, 308 inequality rule function, 6, 58 for limits of functions, 229 bounded, 84 for sequences, 130 Euler’s definition of, 62 for integrals, 168 increasing, 90 inflection point, 316 functions injective, 290 equality of, 60 inner snowflake, 40 operations on, 166 instantaneous velocity, 235 fundamental theorem of calculus, 6, integrable function, 160 320, 324 integral, 160 Leibniz statement of, 325 and area, 183 change of scale for, 180 Galileo (1564-1642) 223, 224 Ei, 330 geometric series, 141 indefinite, 213 finite, 33 of cos, 206, 208 G¯ougˇu,79 integral of sin, 208 graphs, 61 computer computation, 113 area between, 184 Si, 330 gravity, acceleration due to, 310 integration, 3 half angle formulas, 195 by parts, 335 Hausdorff, Felix (1868–1942), 86 by substitution, 340 height of box, 14 of rational functions, 353 Heine, Heinrich Eduard (1821-1881), interior point, 224 236 intermediate value property, 287, 288 Heron (between 250 BC and 150 AD), intersection, 14, 48 284 interval, 17 higher order derivatives, 306 inverse, horizontal, 387 additive, 376 hyperbolic functions, 305 multiplicative, 376 inverse function, 293 Ibn-al-Haitham(circa 1000 A.D.), 27 inverse function theorem, 298 image of f, 61 image of x under f, 58 Katyayana (c. 600 BC or 500BC??), implies, 53 79 increasing function, 90 kinetic energy, 312 indefinite integral, 213 Koch, Helga von(1870-1924) 49, 259 INDEX 401 Lagrange, Joseph Louis (1736–1813) maximum, 58 5, 242 local, 264 Leibniz, Gottfried(1646–1716) 5, 6, 62, of a function, 261 160, 167, 221, 241 284, 308, mean value theorem, 268 325 for integrals, 322 notation for sums, 65 Mercator, Nicolaus(1620-1687), 111 proof of product rule, 245 mesh of partition, 89 length of arc 191 minimum, 58 l’Hˆopital,GuillaumeFran¸cois(1661-1701), local, 264 124 of a function, 261 limit, 225 monotonic function, 90 of a sequence, 125 piecewise, 173 infinite, 273 monotonicity one-sided, 274 of area, 88, 373 line 70, 387 of powers, 382 equation for, 387 Liouville, Joseph (1809–1882), 309 names for rational numbers, 380 ln(2) calculation, 113 Napier, John (1550-1632), 106 ln(a), 2 negative number, 378 localization rule, 240 Newton, Isaac(1642–1727) 5, 6, 236, local maximum, 264 242 local minimum, 264 Newton’s law, 6 logarithm 104, 106, 159 nice function, 320 derivative of, 239 non-integrable function, 174 logarithmic differentiation 252 normalization property of area, 85 not (logical operator), 51 Maple 112, 329, 352 nowhere differentiable function, 259 approximate integration, 113 nth power theorem, 140 calculation of e, 147 nth root rule for sequences, 132 integration, 216 null sequence rule, 128 mypi, 205 number as area, 14 routine, 205 short list of commands, 389 objects in a set, 12 sinsq, 205 odd function, 270 symbolic antidifferentiation, 330 open interval, 17 average, 113 operations on functions, 166 leftsum, 113 optical illusion, 190 rightsum, 113 optimization problems, 277 402 INDEX ordered pair, 57 for limits of functions, 229 order laws, 378 for sequences, 129 or (logical operator), 51 proofs without words, 24 outer snowflake, 40 propositions, 51 equal, 54 pair, ordered, 57 equivalent, 52 parabola, area of 19, 29 sets defined by, 56 parabolic segment, area of, 30 proposition form, 52 parallel lines, 388 Ptolemy, Claudius (fl 127-151), 199 parallelogram, 70 Pythagoras, (f. 530–510 B.C.), 78 area of, 384 Pythagoreans, 24 partition, 89 Pythagorean theorem, 386 regular, 89 partition-sample sequence, 166 quadratic formula, 80 Pascal, Blaise (1623-1662), 24 quotient rule π (pi), 2, 8, 181, 113 for derivatives, 246 ancient values of, 9 for limits, 229 computer calculation of, 113 for limits of functions, 229 piecewise monotonic function, 173 for sequences ,130 non-piecewise monotonic function, 261 radian, 385 point Ramanujan, Srinivasa (1887–1920), 10 in plane, 12, 68 rate of change, 282 in a set, 12 rational functions, 353 of inflection, 316 rational numbers, 12 addition of points, 68 names for, 380 positive number, 378 real number, 6 potential energy, 312 reciprocal (derivative of), 246 power function, 297 reflection 30, 73 powers, 382 reflection law for sin and cos, 195 monotonicity of, 382 reflection theorem, 294 nth power theorem, 140 regular partition, 89 power-sums, (table of), 27 Rhind Papyrus, 8 prerequisites, 7, 375 Riemann, Bernhard (1826–1866) 160 product, Cartesian, 57 Riemann sum, 152 product rule right triangle, 95 for derivatives, 244 rituals for integration 341, 342, 346, for limits, 229 350, 351 INDEX 403 Rolle, Michel, (1652-1719), 267 slope, 386 Rolle’s theorem, 267 snowflake, 48, 259 rotation, 73 area of 49 ruler function, 176 spike function 171, 172, 226 square root problem, 9 Saint-Vincent, Gr´egoirede(1584-1667), squeezing rule 143 for limits of functions, 230 sample, 152 for sequences, 130 Sarasa, Alfons Anton de(1618-1667), stretch 179 106 Stringham, Irving, 106 schizophrenia, 54 subadditivity of area, 87 sector, area of circluar 349, 385 subinterval of a partition, 89 sec, 247 subset, 13 segment, 70, 76 substitution in integrals, 350 sequences, 59 substitution, trigonometric, 345 constant, 127 summation formula 23, 24, 25, 26, 27 constant sequence rule, 128 summation notation, 63
Recommended publications
  • Introduction Into Quaternions for Spacecraft Attitude 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.
  • Calculus Terminology

    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
  • How to Enter Answers in Webwork

    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

    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

    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

    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

    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.
  • Calculus Online Textbook Chapter 2

    Calculus Online Textbook Chapter 2

    Contents CHAPTER 1 Introduction to Calculus 1.1 Velocity and Distance 1.2 Calculus Without Limits 1.3 The Velocity at an Instant 1.4 Circular Motion 1.5 A Review of Trigonometry 1.6 A Thousand Points of Light 1.7 Computing in Calculus CHAPTER 2 Derivatives The Derivative of a Function Powers and Polynomials The Slope and the Tangent Line Derivative of the Sine and Cosine The Product and Quotient and Power Rules Limits Continuous Functions CHAPTER 3 Applications of the Derivative 3.1 Linear Approximation 3.2 Maximum and Minimum Problems 3.3 Second Derivatives: Minimum vs. Maximum 3.4 Graphs 3.5 Ellipses, Parabolas, and Hyperbolas 3.6 Iterations x, + ,= F(x,) 3.7 Newton's Method and Chaos 3.8 The Mean Value Theorem and l'H8pital's Rule CHAPTER 2 Derivatives 2.1 The Derivative of a Function This chapter begins with the definition of the derivative. Two examples were in Chapter 1. When the distance is t2, the velocity is 2t. When f(t) = sin t we found v(t)= cos t. The velocity is now called the derivative off (t). As we move to a more formal definition and new examples, we use new symbols f' and dfldt for the derivative. 2A At time t, the derivativef'(t)or df /dt or v(t) is fCt -t At) -f (0 f'(t)= lim (1) At+O At The ratio on the right is the average velocity over a short time At. The derivative, on the left side, is its limit as the step At (delta t) approaches zero.
  • Doing Physics with Quaternions

    Doing Physics with Quaternions

    Doing Physics with Quaternions Douglas B. Sweetser ©2005 doug <[email protected]> All righs reserved. 1 INDEX Introduction 2 What are Quaternions? 3 Unifying Two Views of Events 4 A Brief History of Quaternions Mathematics 6 Multiplying Quaternions the Easy Way 7 Scalars, Vectors, Tensors and All That 11 Inner and Outer Products of Quaternions 13 Quaternion Analysis 23 Topological Properties of Quaternions 28 Quaternion Algebra Tool Set Classical Mechanics 32 Newton’s Second Law 35 Oscillators and Waves 37 Four Tests of for a Conservative Force Special Relativity 40 Rotations and Dilations Create the Lorentz Group 43 An Alternative Algebra for Lorentz Boosts Electromagnetism 48 Classical Electrodynamics 51 Electromagnetic Field Gauges 53 The Maxwell Equations in the Light Gauge: QED? 56 The Lorentz Force 58 The Stress Tensor of the Electromagnetic Field Quantum Mechanics 62 A Complete Inner Product Space with Dirac’s Bracket Notation 67 Multiplying quaternions in Polar Coordinate Form 69 Commutators and the Uncertainty Principle 74 Unifying the Representations of Integral and Half−Integral Spin 79 Deriving A Quaternion Analog to the Schrödinger Equation 83 Introduction to Relativistic Quantum Mechanics 86 Time Reversal Transformations for Intervals Gravity 89 Unified Field Theory by Analogy 101 Einstein’s vision I: Classical unified field equations for gravity and electromagnetism using Riemannian quaternions 115 Einstein’s vision II: A unified force equation with constant velocity profile solutions 123 Strings and Quantum Gravity 127 Answering Prima Facie Questions in Quantum Gravity Using Quaternions 134 Length in Curved Spacetime 136 A New Idea for Metrics 138 The Gravitational Redshift 140 A Brief Summary of Important Laws in Physics Written as Quaternions 155 Conclusions 2 What Are Quaternions? Quaternions are numbers like the real numbers: they can be added, subtracted, multiplied, and divided.
  • Vector Analysis

    Vector Analysis

    Fachhochschule Frankfurt am Main Fachbereich Informatik und Ingenieurwissenschaften Studiengang Elektrotechnik Vector Analysis Prof. Dr.-Ing. G. Zimmer 2 0 −2 8 8 6 6 4 4 2 2 0 0 −2 −2 −4 −6 −4 −8 −6 Contents 1 The geometry of euclidean space 1 1.1 Vectorsinthree-dimensionalspace . .. 1 1.1.1 Simplevectoroperations . 2 1.1.2 Theinnerproduct........................ 4 1.1.3 Thecrossproduct........................ 5 1.2 n-DimensionalEuclidianspace . 7 1.3 LinearmappinginEuclideanspace. 8 2 Differentiation 9 2.1 Visualizationofreal-valuedfunctions . .... 9 2.2 Limitsandcontinuity . .... .... .... ... .... .... .. 12 2.3 Differentiationoffunctions . 14 2.4 Gradientsanddirectionalderivate . .. 18 3 Vector-valued functions 20 3.1 Paths................................... 20 3.2 Arclength................................ 22 3.2.1 Naturalparametrization . 22 3.3 Differentialgeometryofapath . 23 3.4 Arbitraryorthogonalcoordinates . .. 24 3.4.1 Cylindricalcoordinates. 24 3.4.2 Sphericalcoordinates. 28 3.4.3 Orthogonalcoordinates. 30 3.4.4 Nabla operator of an arbitrary orthogonal coordinate system . 31 3.5 Surfaces................................. 32 3.5.1 Tangentvectorstothesurface . 34 3.5.2 Areaofasurfaces........................ 34 4 Integrals over Paths and Surfaces 36 4.1 Thepathintegral ............................ 36 4.1.1 Potential function of charge distribution along a filament ... 37 4.1.2 Static electric field of a charge distribution along a filament. 38 4.1.3 Thelineintegral ........................ 38 4.1.4 Staticmagneticfieldduetoacurrentfilament
  • Canvas Formula Quiz Question Helper Functions Canvas Requires Users to Manually Input Formulas When Creating Formula Quiz Ques

    Canvas Formula Quiz Question Helper Functions Canvas Requires Users to Manually Input Formulas When Creating Formula Quiz Ques

    Canvas Formula Quiz Question Helper Functions Canvas requires users to manually input formulas when creating formula quiz questions with variables. The Formula Definition section of the formula quiz question builder includes a text field where users must define the ​ quiz question formula (see image below). For more information about using the Math Editor in the Rich Content Editor to build formula quiz questions, view additional PDF resources: How do I use the Math Editor in the Rich Content Editor?, Canvas Equation Editor Tips: ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ Basic View and Canvas Equation Editor Tips: Advanced View. ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ © Canvas 2021 | guides.canvaslms.com | updated 2021-01-16 Page 1 Canvas Formula Quiz Question Helper Functions Helper Functions Use the helper functions listed below to build formulas in the Formula Definition section of the Formula question quiz question creator. Notes: ● All functions accept only numeric parameters. ● All trigonometric function calculations are performed in radians. To convert to or from degrees, use the deg_to_rad( ) or rad_to_deg( ) functions. ● The Formula Definition text field does not designate definable variables with square brackets. ● Variables must start with a letter and may be followed by any combination of letters and numbers. Keep in mind that variable names are case sensitive and characters other than letters and numbers are not recognized. ● In the Formula Definition text field, Canvas translates the entry of the letter “e” as the constant e. ● Helper functions can be nested. For an example of nested helper functions, see the entry for At in the table below. ● Several functions operate on a list of numbers. Unless otherwise noted, the list parameter is defined with a comma-separated list of values or with a nested reverse( ) or sort( ) function.
  • Normed Vector Spaces

    Normed Vector Spaces

    Normed vector spaces A normed vector space is a vector space where each vector is associated with a “length”. In the 2 or 3 dimensional Euclidean vector space, this notion is intuitive: the norm of a vector can simply be defined to be the length of the arrow. However, the concept of a norm generalizes this idea of the length of an arrow vector. Moreover, the norm of a vector changes when we multiply a vector by a scalar. Thus, a norm implements our intuition that scaling a vector changes its length. Definition 1 More rigorously, a normed vector space is a tuple (V; F ; k:k) where V is a vector space, F is a field, and k:k is a function called the norm that maps vectors to strictly positive lengths: k:k : V! [0; 1) . The norm function must satisfy the following conditions: 1. 8v 2 V kvk ≥ 0 2. kαxk = jαj kxk 3. kx + yk ≤ kxk + kyk Below we outline the intuitive reasoning behind each aspect of the definition of a norm: 1. says that all vectors should have a positive length. This enforces our intuition that a “length” is a positive quantity. 2. says that if we multiply a vector by a scalar, it’s length should increase by the magnitude (i.e. the absolute) value of that scalar. This axiom ties together the notion of scaling vectors (Axiom 6 in the definition of a vector space) and the norm of a vector. 3. says that the length of the sum of two vectors should not exceed the sum of the lengths of each vector.