1.5 Inverse Trigonometric Functions Remember That Only One-To-One Functions Have Inverses

Total Page:16

File Type:pdf, Size:1020Kb

1.5 Inverse Trigonometric Functions Remember That Only One-To-One Functions Have Inverses 1.5 Inverse Trigonometric Functions Remember that only one-to-one functions have inverses. So, in order to find the inverse functions for sine, cosine, and tangent, we must restrict their domains to intervals where they are one-to-one. To find the inverse sine function, we restrict the domain of sine to [−π=2; π=2]. sin−1 x = y $ sin y = x In other words, sin−1 x or arcsin x is the ANGLE in the interval [−π=2; π=2] whose sine is x. p −1 3 1 −1 sin 2 arcsin(− 2 ) sin 2 In order to have an inverse for cosine, we restrict the domain of cosine to the interval [0; π]. cos−1 x = y $ cos y = x In other words, cos−1 x or arccos x is the ANGLE in the interval [0; π] whose cosine is x. p −1 2 1 5 arccos(0) cos − 2 arccos 2 arccos − 4 1 In order to have an inverse for tangent, we restrict the domain of tangent to the interval (−π=2; π=2). tan−1 x = y $ tan y = x y = tan x y = arctan x In other words, tan−1 x or arctan x is the ANGLE in the interval (−π=2; π=2) whose tangent is x. p arctan(1) tan−1(− 3) When combining trig and inverse trig, remember that an inverse trig expression is an ANGLE!! −1 4 −1 2 tan(sin 5 ) sin cos − 3 sin(tan−1 x) cot(cos−1 x) 2 2.2 The Limit of a Function x Introductory Example: Consider the function f(x) = p . The table below gives values of the x + 4 − 2 function when x is near 0. x f(x) x f(x) −0:5 3:8708287 0.5 4.1213203 −0:1 3:9748418 0:1 4.0248457 −0:05 3:9874607 0:05 4.0124612 −0:01 3:9974984 0:01 4.0024984 −0:001 3:999750 0:001 4.000250 −0:0001 3:999975 0:0001 4.000025 As the values of x get closer to 0 from both sides, the values of f(x) are getting closer to 4. This is written x mathematically as: lim p = 4 x!0 x + 4 − 2 lim f(x) = L x!a is read as \the limit as x approaches a of f(x) is L." This means the values of f(x) get closer and closer to L (or possibly equal to L) by letting x get closer and closer to a, but not equal to a. f(0) is undefined in the above example since f(0) = p 0 = 0 . When dealing with limits, we are 0+4−2 0 examining values as x approaches a, but not equal to a. [Note: We'll see later that the value of the function at a may or may not equal the limit.] In all three of these pictures, lim f(x) = 2. It doesn't matter what f(4) actually is or even if it exists. x!4 Left-Handed Limit: lim f(x) is the limit when ONLY looking at values of x approaching from the left, x!a− i.e. values of x less than a. Right-Handed Limit: lim f(x) is the limit ONLY looking at values of x approaching from the right, i.e. x!a+ values of x greather than a. The limit exists if and only if the left-handed and right-handed limits both exist and are equal. lim f(x) = L if and only if lim f(x) = L and lim f(x) = L x!a x!a− x!a+ 3 1 Infinite Limits: Calculate lim x!0 x2 x f(x) x f(x) −0:5 4 0:5 4 −0:1 100 0:1 100 −0:05 400 0:05 400 −0:01 10; 000 0:01 10; 000 −0:001 1; 000; 000 0:001 1; 000; 000 −0:0001 100; 000; 000 0:0001 100; 000; 000 As the values of x approach 0 from both sides, f(x) gets larger and larger without bound. In this case, we 1 say that lim = 1. x!0 x2 1 1 1 Example: Calculate lim , lim , and lim x!0+ x x!0− x x!0 x Definition: The line x = a is a vertical asymptote if the limit from the left, right, or both is 1 or −∞. Example: Consider the graph of f below. Find the indicated limits. lim f(x) lim f(x) lim f(x) x!4− x!4+ x!4 8 lim f(x) lim f(x) lim f(x) − + x!2 x!2 x!2 6 lim f(x) 4 x→−1 2 lim f(x) x→−6 −8 −6 −4 −2 2 4 6 8 lim f(x) lim f(x) lim f(x) x→−3− x→−3+ x→−3 −2 lim f(x) −4 x!6 −6 What are the vertical asymptotes of f(x)? −8 4 nonzero When the limit of a function at x = a is of the form 0 , then there is a vertical asymptote at x = a and the limit will be either 1 or −∞. Examples: x − 1 x − 1 x − 1 lim lim lim x→−5− x + 5 x→−5+ x + 5 x→−5 x + 5 x + 3 x3 lim lim x!2− 2 − x x!3 (x − 6)(x − 3)2 lim ln x lim ln(x3 − 64) x!0+ x!4+ Vertical Asymptotes vs Holes Be careful with rational functions. Just because there is division by zero does NOT mean there is a vertical asymptote. If a factor cancels completely from the denominator, then there is a hole there, not a vertical asymptote, because the division by 0 is “fixed.” x − 2 Find all vertical asymptotes of the function f(x) = . x2 − 6x + 8 5 2.3 Calculating Limits Using the Limit Laws Limit Laws: Suppose lim f(x) and lim g(x) exist and that c is any constant. x!a x!a 1. lim(f(x) ± g(x)) = lim f(x) ± lim g(x) x!a x!a x!a 2. lim cf(x) = c lim f(x) x!a x!a 3. lim f(x)g(x) = lim f(x) lim g(x) x!a x!a x!a lim f(x) 4. lim f(x) = x!a provided that lim g(x) 6= 0 x!a g(x) lim g(x) x!a x!a n 5. lim(f(x))n = lim f(x) x!a x!a pn q 6. lim f(x) = n lim f(x). If n is even, then we must have that lim f(x) > 0 x!a x!a x!a If f is not a piecewise function and a is in the domain of f, then lim f(x) = f(a). In other words, if you x!a can evaluate the function at a and you don't get division by 0 or something undefined, then that value IS the limit! lim (3x2 + 5x + 1)4 x→−2 p(x2 − 4)f(x) Given that lim f(x) = 16, calculate lim x!3 x!3 f(x) + x + 2 6 0 When the limit is of the form 0 we say the limit is indeterminate. Two things could be happening. There is either a vertical asymptote or a hole in the graph at x = a. If after using algebra, the limit simplifies to nonzero 0 , then there is a vertical asymptote. If the limit simplifies to an actual number, then there is a hole. 0 So, if you get a limit of the form 0 , you must USE ALGEBRA to determine the limit. Some methods used are expanding, factoring, or multiplying by the conjugate of a radical. x2 − x − 12 lim x!4 x2 − 16 (h − 4)2 − 16 lim h!0 h t − 2 lim t!2 (t − 2)3 p x + 3 − 2 lim x!1 x − 1 7 For vector functions, if r(t) = hf(t); g(t)i, then lim r(t) = lim f(t); lim g(t) t!a t!a t!a provided the limits of the component functions exist. * + 9t−1 − 3(t − 2)−1 t − 3 Calculate lim r(t), where r(t) = ; p t!3 t − 3 t2 + 7 − 4 8 8 x if x < 0 > > x2 if 0 ≤ x < 2 <> Let f(x) = 8 − x if 2 ≤ x < 5 > −2 if x = 5 > :> x − 2 if x > 5 Calculate lim f(x), lim f(x), and lim f(x) or explain why the limit does not exist. x!0 x!2 x!5 Recall the definition of the absolute value function: ( ( jxj = jx + 4j = x2 + x Calculate lim or explain why the limit does not exist. x!0 jxj 9 jx − 3j Calculate lim or explain why the limit does not exist. x!3 6 − 2x Squeeze Theorem: If g(x) ≤ h(x) ≤ f(x) for all x in an interval that contains a (except possibly at a) and lim g(x) = lim f(x) = L x!a x!a then lim h(x) = L x!a Example: If 4x − 2 ≤ f(x) ≤ x2 + 2 for 0 ≤ x ≤ 3, find lim f(x). x!2 Example: Find lim x2 sin 1 . x!0 x 10 2.5 Continuity In Section 2.3 we saw that the limit as x approaches a can sometimes be found by evaluating the function at a. If this is the case, then the function is continuous.
Recommended publications
  • Division by Zero Calculus and Singular Integrals
    Proceedings of International Conference on Mechanical, Electrical and Medical Intelligent System 2017 Division by Zero Calculus and Singular Integrals Tsutomu Matsuura1, a and Saburou Saitoh2,b 1Faculty of Science and Technology, Gunma University, 1-5-1 Tenjin-cho, Kiryu 376-8515, Japan 2Institute of Reproducing Kernels, Kawauchi-cho, 5-1648-16, Kiryu 376-0041, Japan [email protected], [email protected] Keywords: division by zero, point at infinity, singularity, Laurent expansion, Hadamard finite part Abstract. In this paper, we will introduce the formulas log 0= log ∞= 0 (not as limiting values) in the meaning of the one point compactification of Aleksandrov and their fundamental applications, and we will also examine the relationship between Laurent expansion and the division by zero. Based on those examinations we give the interpretation for the Hadamard finite part of singular integrals by means of the division by zero calculus. In particular, we will know that the division by zero is our elementary and fundamental mathematics. 1. Introduction By a natural extension of the fractions b (1) a for any complex numbers a and b , we found the simple and beautiful result, for any complex number b b = 0, (2) 0 incidentally in [1] by the Tikhonov regularization for the Hadamard product inversions for matrices and we discussed their properties and gave several physical interpretations on the general fractions in [2] for the case of real numbers. The result is very special case for general fractional functions in [3]. The division by zero has a long and mysterious story over the world (see, for example, H.
    [Show full text]
  • Trigonometric Functions
    Trigonometric Functions This worksheet covers the basic characteristics of the sine, cosine, tangent, cotangent, secant, and cosecant trigonometric functions. Sine Function: f(x) = sin (x) • Graph • Domain: all real numbers • Range: [-1 , 1] • Period = 2π • x intercepts: x = kπ , where k is an integer. • y intercepts: y = 0 • Maximum points: (π/2 + 2kπ, 1), where k is an integer. • Minimum points: (3π/2 + 2kπ, -1), where k is an integer. • Symmetry: since sin (–x) = –sin (x) then sin(x) is an odd function and its graph is symmetric with respect to the origin (0, 0). • Intervals of increase/decrease: over one period and from 0 to 2π, sin (x) is increasing on the intervals (0, π/2) and (3π/2 , 2π), and decreasing on the interval (π/2 , 3π/2). Tutoring and Learning Centre, George Brown College 2014 www.georgebrown.ca/tlc Trigonometric Functions Cosine Function: f(x) = cos (x) • Graph • Domain: all real numbers • Range: [–1 , 1] • Period = 2π • x intercepts: x = π/2 + k π , where k is an integer. • y intercepts: y = 1 • Maximum points: (2 k π , 1) , where k is an integer. • Minimum points: (π + 2 k π , –1) , where k is an integer. • Symmetry: since cos(–x) = cos(x) then cos (x) is an even function and its graph is symmetric with respect to the y axis. • Intervals of increase/decrease: over one period and from 0 to 2π, cos (x) is decreasing on (0 , π) increasing on (π , 2π). Tutoring and Learning Centre, George Brown College 2014 www.georgebrown.ca/tlc Trigonometric Functions Tangent Function : f(x) = tan (x) • Graph • Domain: all real numbers except π/2 + k π, k is an integer.
    [Show full text]
  • Lesson 6: Trigonometric Identities
    1. Introduction An identity is an equality relationship between two mathematical expressions. For example, in basic algebra students are expected to master various algbriac factoring identities such as a2 − b2 =(a − b)(a + b)or a3 + b3 =(a + b)(a2 − ab + b2): Identities such as these are used to simplifly algebriac expressions and to solve alge- a3 + b3 briac equations. For example, using the third identity above, the expression a + b simpliflies to a2 − ab + b2: The first identiy verifies that the equation (a2 − b2)=0is true precisely when a = b: The formulas or trigonometric identities introduced in this lesson constitute an integral part of the study and applications of trigonometry. Such identities can be used to simplifly complicated trigonometric expressions. This lesson contains several examples and exercises to demonstrate this type of procedure. Trigonometric identities can also used solve trigonometric equations. Equations of this type are introduced in this lesson and examined in more detail in Lesson 7. For student’s convenience, the identities presented in this lesson are sumarized in Appendix A 2. The Elementary Identities Let (x; y) be the point on the unit circle centered at (0; 0) that determines the angle t rad : Recall that the definitions of the trigonometric functions for this angle are sin t = y tan t = y sec t = 1 x y : cos t = x cot t = x csc t = 1 y x These definitions readily establish the first of the elementary or fundamental identities given in the table below. For obvious reasons these are often referred to as the reciprocal and quotient identities.
    [Show full text]
  • Division by Zero in Logic and Computing Jan Bergstra
    Division by Zero in Logic and Computing Jan Bergstra To cite this version: Jan Bergstra. Division by Zero in Logic and Computing. 2021. hal-03184956v2 HAL Id: hal-03184956 https://hal.archives-ouvertes.fr/hal-03184956v2 Preprint submitted on 19 Apr 2021 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. DIVISION BY ZERO IN LOGIC AND COMPUTING JAN A. BERGSTRA Abstract. The phenomenon of division by zero is considered from the per- spectives of logic and informatics respectively. Division rather than multi- plicative inverse is taken as the point of departure. A classification of views on division by zero is proposed: principled, physics based principled, quasi- principled, curiosity driven, pragmatic, and ad hoc. A survey is provided of different perspectives on the value of 1=0 with for each view an assessment view from the perspectives of logic and computing. No attempt is made to survey the long and diverse history of the subject. 1. Introduction In the context of rational numbers the constants 0 and 1 and the operations of addition ( + ) and subtraction ( − ) as well as multiplication ( · ) and division ( = ) play a key role. When starting with a binary primitive for subtraction unary opposite is an abbreviation as follows: −x = 0 − x, and given a two-place division function unary inverse is an abbreviation as follows: x−1 = 1=x.
    [Show full text]
  • IEEE Standard 754 for Binary Floating-Point Arithmetic
    Work in Progress: Lecture Notes on the Status of IEEE 754 October 1, 1997 3:36 am Lecture Notes on the Status of IEEE Standard 754 for Binary Floating-Point Arithmetic Prof. W. Kahan Elect. Eng. & Computer Science University of California Berkeley CA 94720-1776 Introduction: Twenty years ago anarchy threatened floating-point arithmetic. Over a dozen commercially significant arithmetics boasted diverse wordsizes, precisions, rounding procedures and over/underflow behaviors, and more were in the works. “Portable” software intended to reconcile that numerical diversity had become unbearably costly to develop. Thirteen years ago, when IEEE 754 became official, major microprocessor manufacturers had already adopted it despite the challenge it posed to implementors. With unprecedented altruism, hardware designers had risen to its challenge in the belief that they would ease and encourage a vast burgeoning of numerical software. They did succeed to a considerable extent. Anyway, rounding anomalies that preoccupied all of us in the 1970s afflict only CRAY X-MPs — J90s now. Now atrophy threatens features of IEEE 754 caught in a vicious circle: Those features lack support in programming languages and compilers, so those features are mishandled and/or practically unusable, so those features are little known and less in demand, and so those features lack support in programming languages and compilers. To help break that circle, those features are discussed in these notes under the following headings: Representable Numbers, Normal and Subnormal, Infinite
    [Show full text]
  • 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
    [Show full text]
  • Derivation of Sum and Difference Identities for Sine and Cosine
    Derivation of sum and difference identities for sine and cosine John Kerl January 2, 2012 The authors of your trigonometry textbook give a geometric derivation of the sum and difference identities for sine and cosine. I find this argument unwieldy | I don't expect you to remember it; in fact, I don't remember it. There's a standard algebraic derivation which is far simpler. The only catch is that you need to use complex arithmetic, which we don't cover in Math 111. Nonetheless, I will present the derivation so that you will have seen how simple the truth can be, and so that you may come to understand it after you've had a few more math courses. And in fact, all you need are the following facts: • Complex numbers are of the form a+bi, where a and b are real numbers and i is defined to be a square root of −1. That is, i2 = −1. (Of course, (−i)2 = −1 as well, so −i is the other square root of −1.) • The number a is called the real part of a + bi; the number b is called the imaginary part of a + bi. All the real numbers you're used to working with are already complex numbers | they simply have zero imaginary part. • To add or subtract complex numbers, add the corresponding real and imaginary parts. For example, 2 + 3i plus 4 + 5i is 6 + 8i. • To multiply two complex numbers a + bi and c + di, just FOIL out the product (a + bi)(c + di) and use the fact that i2 = −1.
    [Show full text]
  • Classical Logic and the Division by Zero Ilija Barukčić#1 #Internist Horandstrasse, DE-26441 Jever, Germany
    International Journal of Mathematics Trends and Technology (IJMTT) – Volume 65 Issue 8 – August 2019 Classical logic and the division by zero Ilija Barukčić#1 #Internist Horandstrasse, DE-26441 Jever, Germany Abstract — The division by zero turned out to be a long lasting and not ending puzzle in mathematics and physics. An end of this long discussion appears not to be in sight. In particular zero divided by zero is treated as indeterminate thus that a result cannot be found out. It is the purpose of this publication to solve the problem of the division of zero by zero while relying on the general validity of classical logic. A systematic re-analysis of classical logic and the division of zero by zero has been undertaken. The theorems of this publication are grounded on classical logic and Boolean algebra. There is some evidence that the problem of zero divided by zero can be solved by today’s mathematical tools. According to classical logic, zero divided by zero is equal to one. Keywords — Indeterminate forms, Classical logic, Zero divided by zero, Infinity I. INTRODUCTION Aristotle‘s unparalleled influence on the development of scientific knowledge in western world is documented especially by his contributions to classical logic too. Besides of some serious limitations of Aristotle‘s logic, Aristotle‘s logic became dominant and is still an adequate basis of our understanding of science to some extent, since centuries. In point of fact, some authors are of the opinion that Aristotle himself has discovered everything there was to know about classical logic. After all, classical logic as such is at least closely related to the study of objective reality and deals with absolutely certain inferences and truths.
    [Show full text]
  • Complex Numbers and Functions
    Complex Numbers and Functions Richard Crew January 20, 2018 This is a brief review of the basic facts of complex numbers, intended for students in my section of MAP 4305/5304. I will discuss basic facts of com- plex arithmetic, limits and derivatives of complex functions, power series and functions like the complex exponential, sine and cosine which can be defined by convergent power series. This is a preliminary version and will be added to later. 1 Complex Numbers 1.1 Arithmetic. A complex number is an expression a + bi where i2 = −1. Here the real number a is the real part of the complex number and bi is the imaginary part. If z is a complex number we write <(z) and =(z) for the real and imaginary parts respectively. Two complex numbers are equal if and only if their real and imaginary parts are equal. In particular a + bi = 0 only when a = b = 0. The set of complex numbers is denoted by C. Complex numbers are added, subtracted and multiplied according to the usual rules of algebra: (a + bi) + (c + di) = (a + c) + (b + di) (1.1) (a + bi) − (c + di) = (a − c) + (b − di) (1.2) (a + bi)(c + di) = (ac − bd) + (ad + bc)i (1.3) (note how i2 = −1 has been used in the last equation). Division performed by rationalizing the denominator: a + bi (a + bi)(c − di) (ac − bd) + (bc − ad)i = = (1.4) c + di (c + di)(c − di) c2 + d2 Note that denominator only vanishes if c + di = 0, so that a complex number can be divided by any nonzero complex number.
    [Show full text]
  • Complete Interval Arithmetic and Its Implementation on the Computer
    Complete Interval Arithmetic and its Implementation on the Computer Ulrich W. Kulisch Institut f¨ur Angewandte und Numerische Mathematik Universit¨at Karlsruhe Abstract: Let IIR be the set of closed and bounded intervals of real numbers. Arithmetic in IIR can be defined via the power set IPIR (the set of all subsets) of real numbers. If divisors containing zero are excluded, arithmetic in IIR is an algebraically closed subset of the arithmetic in IPIR, i.e., an operation in IIR performed in IPIR gives a result that is in IIR. Arithmetic in IPIR also allows division by an interval that contains zero. Such division results in closed intervals of real numbers which, however, are no longer bounded. The union of the set IIR with these new intervals is denoted by (IIR). The paper shows that arithmetic operations can be extended to all elements of the set (IIR). On the computer, arithmetic in (IIR) is approximated by arithmetic in the subset (IF ) of closed intervals over the floating-point numbers F ⊂ IR. The usual exceptions of floating-point arithmetic like underflow, overflow, division by zero, or invalid operation do not occur in (IF ). Keywords: computer arithmetic, floating-point arithmetic, interval arithmetic, arith- metic standards. 1 Introduction or a Vision of Future Computing Computers are getting ever faster. The time can already be foreseen when the P C will be a teraflops computer. With this tremendous computing power scientific computing will experience a significant shift from floating-point arithmetic toward increased use of interval arithmetic. With very little extra hardware, interval arith- metic can be made as fast as simple floating-point arithmetic [3].
    [Show full text]
  • Inverse Trig Functions Summary
    Inverse trigonometric functions 1 1 z = sec ϑ The inverse sine function. The sine function restricted to [ π, π ] is one-to-one, and its inverse on this 3 − 2 2 ϑ = π ϑ = arcsec z interval is called the arcsine (arcsin) function. The domain of arcsin is [ 1, 1] and the range of arcsin is 2 1 1 1 −1 [ π, π ]. Below is a graph of y = sin ϑ, with the the part over [ π, π ] emphasized, and the graph − 2 2 − 2 2 of ϑ y. π 1 = arcsin ϑ = 2 π y = sin ϑ ϑ = arcsin y 1 π π 2 π − 1 ϑ 1 1 z − 1 π 1 π ϑ 1 1 y − 2 2 − 1 − 1 1 3 π ϑ = 2 π ϑ = 2 π − 2 By definition, By definition, 1 1 1 3 ϑ = arcsin y means that sin ϑ = y and π 6 ϑ 6 π. ϑ = arcsec z means that sec ϑ = t and 0 6 ϑ< 2 π or π 6 ϑ< 2 π. − 2 2 Differentiating the equation on the right implicitly with respect to y, gives Again, differentiating the equation on the right implicitly with respect to z, and using the restriction in ϑ, dϑ dϑ 1 1 1 one computes the derivative cos ϑ = 1, or = , provided π<ϑ< π. dy dy cos ϑ − 2 2 d 1 (arcsec z)= 2 , for z > 1. 1 1 2 2 dz z√z 1 | | Since cos ϑ> 0 on ( 2 π, 2 π ), it follows that cos ϑ = p1 sin ϑ = p1 y .
    [Show full text]
  • Algebraic Division by Zero Implemented As Quasigeometric Multiplication by Infinity in Real and Complex Multispatial Hyperspaces
    Available online at www.worldscientificnews.com WSN 92(2) (2018) 171-197 EISSN 2392-2192 Algebraic division by zero implemented as quasigeometric multiplication by infinity in real and complex multispatial hyperspaces Jakub Czajko Science/Mathematics Education Department, Southern University and A&M College, Baton Rouge, LA 70813, USA E-mail address: [email protected] ABSTRACT An unrestricted division by zero implemented as an algebraic multiplication by infinity is feasible within a multispatial hyperspace comprising several quasigeometric spaces. Keywords: Division by zero, infinity, multispatiality, multispatial uncertainty principle 1. INTRODUCTION Numbers used to be identified with their values. Yet complex numbers have two distinct single-number values: modulus/length and angle/phase, which can vary independently of each other. Since values are attributes of the algebraic entities called numbers, we need yet another way to define these entities and establish a basis that specifies their attributes. In an operational sense a number can be defined as the outcome of an algebraic operation. We must know the space where the numbers reside and the basis in which they are represented. Since division is inverse of multiplication, then reciprocal/contragradient basis can be used to represent inverse numbers for division [1]. Note that dual space, as conjugate space [2] is a space of functionals defined on elements of the primary space [3-5]. Although dual geometries are identical as sets, their geometrical structures are different [6] for duality can ( Received 18 December 2017; Accepted 03 January 2018; Date of Publication 04 January 2018 ) World Scientific News 92(2) (2018) 171-197 form anti-isomorphism or inverse isomorphism [7].
    [Show full text]