Geometric Sequences & Exponential Functions

Total Page:16

File Type:pdf, Size:1020Kb

Geometric Sequences & Exponential Functions Algebra I GEOMETRIC SEQUENCES Study Guides Big Picture & EXPONENTIAL FUNCTIONS Both geometric sequences and exponential functions serve as a way to represent the repeated and patterned multiplication of numbers and variables. Exponential functions can be used to represent things seen in the natural world, such as population growth or compound interest in a bank. Key Terms Geometric Sequence: A sequence of numbers in which each number in the sequence is found by multiplying the previous number by a fixed amount called the common ratio. Exponential Function: A function with the form y = A ∙ bx. Geometric Sequences A geometric sequence is a type of pattern where every number in the sequence is multiplied by a certain number called the common ratio. Example: 4, 16, 64, 256, ... Find the common ratio r by dividing each term in the sequence by the term before it. So r = 4 Exponential Functions An exponential function is like a geometric sequence, except geometric sequences are discrete (can only have values at certain points, e.g. 4, 16, 64, 256, ...) and exponential functions are continuous (can take on all possible values). Exponential functions look like y = A ∙ bx, where A is the starting amount and b is like the common ratio of a geometric sequence. Graphing Exponential Functions Here are some examples of exponential functions: Exponential Growth and Decay Growth: y = A ∙ bx when b ≥ 1 Decay: y = A ∙ bx when b is between 0 and 1 your textbook and is for classroom or individual use only. your Disclaimer: this study guide was not created to replace Disclaimer: this study guide was • In exponential growth, the value of y increases (grows) as x increases. See the blue curve. • In exponential decay, the value of y decreases (de- cays) as x increases. See the red curve. This guide was created by Nicole Crawford, Jane Li, and Jin Yu. To learn more Page 1 of 2 about the student authors, visit http://www.ck12.org/about/ck-12-interns/. v1.1.9.2012 GEOMETRIC SEQUENCES Logarithms & EXPONENTIAL FUNCTIONS CONT. To undo an exponential function, we can take the logarithm of the equation. y • logb x = y means that b = x y • log x = log10 x = y means that 10 = x Algebra I Comparing Linear, Quadratic, and Exponential Models • Linear function: y = mx + b • Quadratic function: y = ax2 + bx + c • Exponential function: y = a ∙ bx Identifying Linear Models If the difference between values of the output (dependent variable, usually the y-variable) is the same each time we change the independent variable (input, usually the x-variable) by the same amount, then the function is linear. Identifying Quadratic Models The difference between the x-values is constant, but the difference between the y-values is not. However, there is a constant interval between the y-values. Identifying Exponential Models If the ratio between values of the dependent variable (output, y-variable) has stayed the same each time we change the independent variable (input, x-variable) by the same amount, then the function is exponential. Notes Page 2 of 2.
Recommended publications
  • An Appreciation of Euler's Formula
    Rose-Hulman Undergraduate Mathematics Journal Volume 18 Issue 1 Article 17 An Appreciation of Euler's Formula Caleb Larson North Dakota State University Follow this and additional works at: https://scholar.rose-hulman.edu/rhumj Recommended Citation Larson, Caleb (2017) "An Appreciation of Euler's Formula," Rose-Hulman Undergraduate Mathematics Journal: Vol. 18 : Iss. 1 , Article 17. Available at: https://scholar.rose-hulman.edu/rhumj/vol18/iss1/17 Rose- Hulman Undergraduate Mathematics Journal an appreciation of euler's formula Caleb Larson a Volume 18, No. 1, Spring 2017 Sponsored by Rose-Hulman Institute of Technology Department of Mathematics Terre Haute, IN 47803 [email protected] a scholar.rose-hulman.edu/rhumj North Dakota State University Rose-Hulman Undergraduate Mathematics Journal Volume 18, No. 1, Spring 2017 an appreciation of euler's formula Caleb Larson Abstract. For many mathematicians, a certain characteristic about an area of mathematics will lure him/her to study that area further. That characteristic might be an interesting conclusion, an intricate implication, or an appreciation of the impact that the area has upon mathematics. The particular area that we will be exploring is Euler's Formula, eix = cos x + i sin x, and as a result, Euler's Identity, eiπ + 1 = 0. Throughout this paper, we will develop an appreciation for Euler's Formula as it combines the seemingly unrelated exponential functions, imaginary numbers, and trigonometric functions into a single formula. To appreciate and further understand Euler's Formula, we will give attention to the individual aspects of the formula, and develop the necessary tools to prove it.
    [Show full text]
  • The Exponential Function
    University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln MAT Exam Expository Papers Math in the Middle Institute Partnership 5-2006 The Exponential Function Shawn A. Mousel University of Nebraska-Lincoln Follow this and additional works at: https://digitalcommons.unl.edu/mathmidexppap Part of the Science and Mathematics Education Commons Mousel, Shawn A., "The Exponential Function" (2006). MAT Exam Expository Papers. 26. https://digitalcommons.unl.edu/mathmidexppap/26 This Article is brought to you for free and open access by the Math in the Middle Institute Partnership at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in MAT Exam Expository Papers by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. The Exponential Function Expository Paper Shawn A. Mousel In partial fulfillment of the requirements for the Masters of Arts in Teaching with a Specialization in the Teaching of Middle Level Mathematics in the Department of Mathematics. Jim Lewis, Advisor May 2006 Mousel – MAT Expository Paper - 1 One of the basic principles studied in mathematics is the observation of relationships between two connected quantities. A function is this connecting relationship, typically expressed in a formula that describes how one element from the domain is related to exactly one element located in the range (Lial & Miller, 1975). An exponential function is a function with the basic form f (x) = ax , where a (a fixed base that is a real, positive number) is greater than zero and not equal to 1. The exponential function is not to be confused with the polynomial functions, such as x 2. One way to recognize the difference between the two functions is by the name of the function.
    [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]
  • NOTES Reconsidering Leibniz's Analytic Solution of the Catenary
    NOTES Reconsidering Leibniz's Analytic Solution of the Catenary Problem: The Letter to Rudolph von Bodenhausen of August 1691 Mike Raugh January 23, 2017 Leibniz published his solution of the catenary problem as a classical ruler-and-compass con- struction in the June 1691 issue of Acta Eruditorum, without comment about the analysis used to derive it.1 However, in a private letter to Rudolph Christian von Bodenhausen later in the same year he explained his analysis.2 Here I take up Leibniz's argument at a crucial point in the letter to show that a simple observation leads easily and much more quickly to the solution than the path followed by Leibniz. The argument up to the crucial point affords a showcase in the techniques of Leibniz's calculus, so I take advantage of the opportunity to discuss it in the Appendix. Leibniz begins by deriving a differential equation for the catenary, which in our modern orientation of an x − y coordinate system would be written as, dy n Z p = (n = dx2 + dy2); (1) dx a where (x; z) represents cartesian coordinates for a point on the catenary, n is the arc length from that point to the lowest point, the fraction on the left is a ratio of differentials, and a is a constant representing unity used throughout the derivation to maintain homogeneity.3 The equation characterizes the catenary, but to solve it n must be eliminated. 1Leibniz, Gottfried Wilhelm, \De linea in quam flexile se pondere curvat" in Die Mathematischen Zeitschriftenartikel, Chap 15, pp 115{124, (German translation and comments by Hess und Babin), Georg Olms Verlag, 2011.
    [Show full text]
  • 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.
    [Show full text]
  • Geometric and Arithmetic Postulation of the Exponential Function
    J. Austral. Math. Soc. (Series A) 54 (1993), 111-127 GEOMETRIC AND ARITHMETIC POSTULATION OF THE EXPONENTIAL FUNCTION J. PILA (Received 7 June 1991) Communicated by J. H. Loxton Abstract This paper presents new proofs of some classical transcendence theorems. We use real variable methods, and hence obtain only the real variable versions of the theorems we consider: the Hermite-Lindemann theorem, the Gelfond-Schneider theorem, and the Six Exponentials theo- rem. We do not appeal to the Siegel lemma to build auxiliary functions. Instead, the proof employs certain natural determinants formed by evaluating n functions at n points (alter- nants), and two mean value theorems for alternants. The first, due to Polya, gives sufficient conditions for an alternant to be non-vanishing. The second, due to H. A. Schwarz, provides an upper bound. 1991 Mathematics subject classification (Amer. Math. Soc): 11 J 81. 1. Introduction The purpose of this paper is to give new proofs of some classical results in the transcendence theory of the exponential function. We employ some determinantal mean value theorems, and some geometrical properties of the exponential function on the real line. Thus our proofs will yield only the real valued versions of the theorems we consider. Specifically, we give proofs of (the real versions of) the six exponentials theorem, the Gelfond-Schneider theorem, and the Hermite-Lindemann the- orem. We do not use Siegel's lemma on solutions of integral linear equations. Using the data of the hypotheses, we construct certain determinants. With © 1993 Australian Mathematical Society 0263-6115/93 $A2.00 + 0.00 111 Downloaded from https://www.cambridge.org/core.
    [Show full text]
  • Chapter 4 Notes
    4. Exponential and logarithmic functions 4.1 Exponential Functions A function of the form f(x) = ax, a > 0 , a 1 is called an exponential function. Its domain is the set of all real f (x 1) numbers. For an exponential function f we have a . The graph of an exponential function depends f (x) on the value of a. a> 1 0 < a< 1 y y 5 5 4 4 3 3 2 2 (1,a) (-1, 1/a) (-1, 1/a) 1 1 (1,a) x x -5 -4 -3 -2 -1 1 2 3 4 5 -5 -4 -3 -2 -1 1 2 3 4 5 -1 -1 -2 -2 -3 -3 -4 -4 -5 -5 Points on the graph: (-1, 1/a), (0,1), (1, a) Properties of exponential functions 1. The domain is the set of all real numbers: Df = R 2. The range is the set of positive numbers: Rf = (0, +). (This means that ax is always positive, that is ax > 0 for all x. The equation ax = negative number has no solution) 3. There are no x-intercepts 4. The y-intercept is (0, 1) 5. The x-axis (line y = 0) is a horizontal asymptote 6. An exponential function is increasing when a > 1 and decreasing when 0 < a < 1 7. An exponential function is one to one, and therefore has the inverse. The inverse of the exponential x function f(x) = a is a logarithmic function g(x) = loga(x) 8. Since an exponential function is one to one we have the following property: If au = av , then u = v.
    [Show full text]
  • Differentiating Logarithm and Exponential Functions
    Differentiating logarithm and exponential functions mc-TY-logexp-2009-1 This unit gives details of how logarithmic functions and exponential functions are differentiated from first principles. In order to master the techniques explained here it is vital that you undertake plenty of practice exercises so that they become second nature. After reading this text, and/or viewing the video tutorial on this topic, you should be able to: • differentiate ln x from first principles • differentiate ex Contents 1. Introduction 2 2. Differentiation of a function f(x) 2 3. Differentiation of f(x)=ln x 3 4. Differentiation of f(x) = ex 4 www.mathcentre.ac.uk 1 c mathcentre 2009 1. Introduction In this unit we explain how to differentiate the functions ln x and ex from first principles. To understand what follows we need to use the result that the exponential constant e is defined 1 1 as the limit as t tends to zero of (1 + t) /t i.e. lim (1 + t) /t. t→0 1 To get a feel for why this is so, we have evaluated the expression (1 + t) /t for a number of decreasing values of t as shown in Table 1. Note that as t gets closer to zero, the value of the expression gets closer to the value of the exponential constant e≈ 2.718.... You should verify some of the values in the Table, and explore what happens as t reduces further. 1 t (1 + t) /t 1 (1+1)1/1 = 2 0.1 (1+0.1)1/0.1 = 2.594 0.01 (1+0.01)1/0.01 = 2.705 0.001 (1.001)1/0.001 = 2.717 0.0001 (1.0001)1/0.0001 = 2.718 We will also make frequent use of the laws of indices and the laws of logarithms, which should be revised if necessary.
    [Show full text]
  • Leonhard Euler - Wikipedia, the Free Encyclopedia Page 1 of 14
    Leonhard Euler - Wikipedia, the free encyclopedia Page 1 of 14 Leonhard Euler From Wikipedia, the free encyclopedia Leonhard Euler ( German pronunciation: [l]; English Leonhard Euler approximation, "Oiler" [1] 15 April 1707 – 18 September 1783) was a pioneering Swiss mathematician and physicist. He made important discoveries in fields as diverse as infinitesimal calculus and graph theory. He also introduced much of the modern mathematical terminology and notation, particularly for mathematical analysis, such as the notion of a mathematical function.[2] He is also renowned for his work in mechanics, fluid dynamics, optics, and astronomy. Euler spent most of his adult life in St. Petersburg, Russia, and in Berlin, Prussia. He is considered to be the preeminent mathematician of the 18th century, and one of the greatest of all time. He is also one of the most prolific mathematicians ever; his collected works fill 60–80 quarto volumes. [3] A statement attributed to Pierre-Simon Laplace expresses Euler's influence on mathematics: "Read Euler, read Euler, he is our teacher in all things," which has also been translated as "Read Portrait by Emanuel Handmann 1756(?) Euler, read Euler, he is the master of us all." [4] Born 15 April 1707 Euler was featured on the sixth series of the Swiss 10- Basel, Switzerland franc banknote and on numerous Swiss, German, and Died Russian postage stamps. The asteroid 2002 Euler was 18 September 1783 (aged 76) named in his honor. He is also commemorated by the [OS: 7 September 1783] Lutheran Church on their Calendar of Saints on 24 St. Petersburg, Russia May – he was a devout Christian (and believer in Residence Prussia, Russia biblical inerrancy) who wrote apologetics and argued Switzerland [5] forcefully against the prominent atheists of his time.
    [Show full text]
  • Chapter 8 Logarithms and Exponentials: Logx and E
    Chapter 8 Logarithms and Exponentials: log x and ex These two functions are ones with which you already have some familiarity. Both are in- troduced in many high school curricula, as they have widespread applications in both the scientific and financial worlds. In fact, as recently as 50 years ago, many high school math- ematics curricula included considerable study of “Tables of the Logarithm Function” (“log tables”), because this was prior to the invention of the hand-held calculator. During the Great Depression of the 1930’s, many out-of-work mathematicians and scientists were em- ployed as “calculators” or “computers” to develop these tables by hand, laboriously using difference equations, entry by entry! Here, we are going to use our knowledge of the Fun- damental Theorem of Calculus and the Inverse Function Theorem to develop the properties of the Logarithm Function and Exponential Function. Of course, we don’t need tables of these functions any more because it is possible to buy a hand-held electronic calculator for as little as $10.00, which will compute any value of these functions to 10 decimal places or more! 1 2 CHAPTER 8. LOGARITHMS AND EXPONENTIALS: LOG X AND EX 8.1 The Logarithm Function Define log(x) (which we shall be thinking of as the natural logarithm) by the following: Definition 8.1 x 1 log(x)= dt for x>0. 1 t Theorem 8.1 log x is defined for all x>0. It is everywhere differentiable, hence continuous, and is a 1-1 function. The Range of log x is (−∞, ∞).
    [Show full text]
  • Exponential Functions 3.1.1 – 3.1.6
    EXPONENTIAL FUNCTIONS 3.1.1 – 3.1.6 Geometric sequences are examples of exponential functions. In these sections, students generalize what they have learned about geometric sequences, and investigate functions of the form y = kmx (m > 0). Students look at multiple representations of exponential functions, including graphs, tables, equations, and context. They learn how to easily move from one representation to another. Exponential functions are used for calculating growth and decay, such as interest on a loan or the age of fossils. While working on these problems students also review the laws of exponents. For further information see the Math Notes boxes following problems 3-6 on page 118 and 3-52 on page 132. Example 1 LuAnn has $500 with which to open a savings account. She can open an account at Fredrico’s Bank, which pays 7% interest, compounded monthly, or Money First Bank, which pays 7.25%, compounded quarterly. LuAnn plans to leave the money in the account, untouched, for ten years. In which account should she place the money? Justify your answer. The obvious answer is that she should put the money in the account that will pay her the most interest over the ten years, but which bank is that? At both banks the principle (the initial value) 0.07 is $500. Fredrico’s Bank pays 7% compounded monthly, which means the interest is 12 each month, or approximately 0.00583 in interest each month. If LuAnn puts her money into Fredrico’s Bank, after one month she will have: 500 + 500(0.00583) = 500(1.00583) ≈ $502.92.
    [Show full text]
  • The Exponential Function
    Journal of Geoscience Education, v. 48, n. 1, p. 70-76, January 2000 (edits, June 2005) Computational Geology 9 The Exponential Function H.L. Vacher, Department of Geology, University of South Florida, 4202 E. Fowler Ave., Tampa FL 33620 Introduction Geology students generally make a close approach to the exponential function in Geology 1 when they learn about radioactive isotopes and geochronology. The mathematics of the subject is typically presented in a few sentences something like the following. The half-life is the time that it takes for half of a given quantity of a given radioactive isotope ("parent") to convert to a radiogenic isotope ("daughter"). For example, if you start with, say, eight million atoms of radioactive isotope P (for parent), and the half-life of P→D (D for daughter) is one thousand years, then, after one thousand years, you will have four million atoms of P. Similarly, after two thousand years, you will have two million atoms of P; after three thousand years, one million atoms of P; and so on. After nine thousand years you will have 15,625 atoms of P, or 1/1024 (about 0.1 percent) of the number you started with. Commonly the succession of fractions (i.e., 1/2, 1/4, 1/8, 1/16, …) is shown on a graph such as Figure 1. The phenomenon is labeled, appropriately enough, an exponential decay. 1 ½ ¼ 1/8 FRACTION REMAININGFRACTION 1/16 1/32 0 0 123 4 5 HALF-LIVES Figure 1. Graph of exponential decay: fraction of parents remaining after successive half-lives.
    [Show full text]