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Inverse of Exponential Functions Are Logarithmic Functions
Math Instructional Framework Full Name Math III Unit 3 Lesson 2 Time Frame Unit Name Logarithmic Functions as Inverses of Exponential Functions Learning Task/Topics/ Task 2: How long Does It Take? Themes Task 3: The Population of Exponentia Task 4: Modeling Natural Phenomena on Earth Culminating Task: Traveling to Exponentia Standards and Elements MM3A2. Students will explore logarithmic functions as inverses of exponential functions. c. Define logarithmic functions as inverses of exponential functions. Lesson Essential Questions How can you graph the inverse of an exponential function? Activator PROBLEM 2.Task 3: The Population of Exponentia (Problem 1 could be completed prior) Work Session Inverse of Exponential Functions are Logarithmic Functions A Graph the inverse of exponential functions. B Graph logarithmic functions. See Notes Below. VOCABULARY Asymptote: A line or curve that describes the end behavior of the graph. A graph never crosses a vertical asymptote but it may cross a horizontal or oblique asymptote. Common logarithm: A logarithm with a base of 10. A common logarithm is the power, a, such that 10a = b. The common logarithm of x is written log x. For example, log 100 = 2 because 102 = 100. Exponential functions: A function of the form y = a·bx where a > 0 and either 0 < b < 1 or b > 1. Logarithmic functions: A function of the form y = logbx, with b 1 and b and x both positive. A logarithmic x function is the inverse of an exponential function. The inverse of y = b is y = logbx. Logarithm: The logarithm base b of a number x, logbx, is the power to which b must be raised to equal x. -
Section 6.7 Hyperbolic Functions 3
Section 6.7 Difference Equations to Hyperbolic Functions Differential Equations The final class of functions we will consider are the hyperbolic functions. In a sense these functions are not new to us since they may all be expressed in terms of the exponential function and its inverse, the natural logarithm function. However, we will see that they have many interesting and useful properties. Definition For any real number x, the hyperbolic sine of x, denoted sinh(x), is defined by 1 sinh(x) = (ex − e−x) (6.7.1) 2 and the hyperbolic cosine of x, denoted cosh(x), is defined by 1 cosh(x) = (ex + e−x). (6.7.2) 2 Note that, for any real number t, 1 1 cosh2(t) − sinh2(t) = (et + e−t)2 − (et − e−t)2 4 4 1 1 = (e2t + 2ete−t + e−2t) − (e2t − 2ete−t + e−2t) 4 4 1 = (2 + 2) 4 = 1. Thus we have the useful identity cosh2(t) − sinh2(t) = 1 (6.7.3) for any real number t. Put another way, (cosh(t), sinh(t)) is a point on the hyperbola x2 −y2 = 1. Hence we see an analogy between the hyperbolic cosine and sine functions and the cosine and sine functions: Whereas (cos(t), sin(t)) is a point on the circle x2 + y2 = 1, (cosh(t), sinh(t)) is a point on the hyperbola x2 − y2 = 1. In fact, the cosine and sine functions are sometimes referred to as the circular cosine and sine functions. We shall see many more similarities between the hyperbolic trigonometric functions and their circular counterparts as we proceed with our discussion. -
Unit 2. Powers, Roots and Logarithms
English Maths 4th Year. European Section at Modesto Navarro Secondary School UNIT 2. POWERS, ROOTS AND LOGARITHMS. 1. POWERS. 1.1. DEFINITION. When you multiply two or more numbers, each number is called a factor of the product. When the same factor is repeated, you can use an exponent to simplify your writing. An exponent tells you how many times a number, called the base, is used as a factor. A power is a number that is expressed using exponents. In English: base ………………………………. Exponente ………………………… Other examples: . 52 = 5 al cuadrado = five to the second power or five squared . 53 = 5 al cubo = five to the third power or five cubed . 45 = 4 elevado a la quinta potencia = four (raised) to the fifth power . 1521 = fifteen to the twenty-first . 3322 = thirty-three to the power of twenty-two Exercise 1. Calculate: a) (–2)3 = f) 23 = b) (–3)3 = g) (–1)4 = c) (–5)4 = h) (–5)3 = d) (–10)3 = i) (–10)6 = 3 3 e) (7) = j) (–7) = Exercise: Calculate with the calculator: a) (–6)2 = b) 53 = c) (2)20 = d) (10)8 = e) (–6)12 = For more information, you can visit http://en.wikibooks.org/wiki/Basic_Algebra UNIT 2. Powers, roots and logarithms. 1 English Maths 4th Year. European Section at Modesto Navarro Secondary School 1.2. PROPERTIES OF POWERS. Here are the properties of powers. Pay attention to the last one (section vii, powers with negative exponent) because it is something new for you: i) Multiplication of powers with the same base: E.g.: ii) Division of powers with the same base : E.g.: E.g.: 35 : 34 = 31 = 3 iii) Power of a power: 2 E.g. -
“An Introduction to Hyperbolic Functions in Elementary Calculus” Jerome Rosenthal, Broward Community College, Pompano Beach, FL 33063
“An Introduction to Hyperbolic Functions in Elementary Calculus” Jerome Rosenthal, Broward Community College, Pompano Beach, FL 33063 Mathematics Teacher, April 1986, Volume 79, Number 4, pp. 298–300. Mathematics Teacher is a publication of the National Council of Teachers of Mathematics (NCTM). The primary purpose of the National Council of Teachers of Mathematics is to provide vision and leadership in the improvement of the teaching and learning of mathematics. For more information on membership in the NCTM, call or write: NCTM Headquarters Office 1906 Association Drive Reston, Virginia 20191-9988 Phone: (703) 620-9840 Fax: (703) 476-2970 Internet: http://www.nctm.org E-mail: [email protected] Article reprint with permission from Mathematics Teacher, copyright April 1986 by the National Council of Teachers of Mathematics. All rights reserved. he customary introduction to hyperbolic functions mentions that the combinations T s1y2dseu 1 e2ud and s1y2dseu 2 e2ud occur with sufficient frequency to warrant special names. These functions are analogous, respectively, to cos u and sin u. This article attempts to give a geometric justification for cosh and sinh, comparable to the functions of sin and cos as applied to the unit circle. This article describes a means of identifying cosh u 5 s1y2dseu 1 e2ud and sinh u 5 s1y2dseu 2 e2ud with the coordinates of a point sx, yd on a comparable “unit hyperbola,” x2 2 y2 5 1. The functions cosh u and sinh u are the basic hyperbolic functions, and their relationship to the so-called unit hyperbola is our present concern. The basic hyperbolic functions should be presented to the student with some rationale. -
2010 Sign Number Reference for Traffic Control Manual
TCM | 2010 Sign Number Reference TCM Current (2010) Sign Number Sign Number Sign Description CONSTRUCTION SIGNS C-1 C-002-2 Crew Working symbol Maximum ( ) km/h (R-004) C-2 C-002-1 Surveyor symbol Maximum ( ) km/h (R-004) C-5 C-005-A Detour AHEAD ARROW C-5 L C-005-LR1 Detour LEFT or RIGHT ARROW - Double Sided C-5 R C-005-LR1 Detour LEFT or RIGHT ARROW - Double Sided C-5TL C-005-LR2 Detour with LEFT-AHEAD or RIGHT-AHEAD ARROW - Double Sided C-5TR C-005-LR2 Detour with LEFT-AHEAD or RIGHT-AHEAD ARROW - Double Sided C-6 C-006-A Detour AHEAD ARROW C-6L C-006-LR Detour LEFT-AHEAD or RIGHT-AHEAD ARROW - Double Sided C-6R C-006-LR Detour LEFT-AHEAD or RIGHT-AHEAD ARROW - Double Sided C-7 C-050-1 Workers Below C-8 C-072 Grader Working C-9 C-033 Blasting Zone Shut Off Your Radio Transmitter C-10 C-034 Blasting Zone Ends C-11 C-059-2 Washout C-13L, R C-013-LR Low Shoulder on Left or Right - Double Sided C-15 C-090 Temporary Red Diamond SLOW C-16 C-092 Temporary Red Square Hazard Marker C-17 C-051 Bridge Repair C-18 C-018-1A Construction AHEAD ARROW C-19 C-018-2A Construction ( ) km AHEAD ARROW C-20 C-008-1 PAVING NEXT ( ) km Please Obey Signs C-21 C-008-2 SEALCOATING Loose Gravel Next ( ) km C-22 C-080-T Construction Speed Zone C-23 C-086-1 Thank You - Resume Speed C-24 C-030-8 Single Lane Traffic C-25 C-017 Bump symbol (Rough Roadway) C-26 C-007 Broken Pavement C-28 C-001-1 Flagger Ahead symbol C-30 C-030-2 Centre Lane Closed C-31 C-032 Reduce Speed C-32 C-074 Mower Working C-33L, R C-010-LR Uneven Pavement On Left or On Right - Double Sided C-34 -
Inverse Hyperbolic Functions
INVERSE HYPERBOLIC FUNCTIONS We will recall that the function eex − − x sinh x = 2 is a 1 to 1 mapping.ie one value of x maps onto one value of sinhx. This implies that the inverse function exists. y =⇔=sinhxx sinh−1 y The function f(x)=sinhx clearly involves the exponential function. We will now find the inverse function in its logarithmic form. LET y = sinh−1 x x = sinh y THEN eey − − y x = 2 (BY DEFINITION) SOME ALGEBRAIC MANIPULATION GIVES yy− 2xe=− e MULTIPLYING BOTH SIDES BY e y yy2 21xe= e − RE-ARRANGING TO CREATE A QUADRATIC IN e y 2 yy 02=−exe −1 APPLYING THE QUADRATIC FORMULA 24xx± 2 + 4 e y = 2 22xx± 2 + 1 e y = 2 y 2 exx= ±+1 SINCE y e >0 WE MUST ONLY CONSIDER THE ADDITION. y 2 exx= ++1 TAKING LOGARITHMS OF BOTH SIDES yxx=++ln2 1 { } IN CONCLUSION −12 sinhxxx=++ ln 1 { } THIS IS CALLED THE LOGARITHMIC FORM OF THE INVERSE FUNCTION. The graph of the inverse function is of course a reflection in the line y=x. THE INVERSE OF COSHX The function eex + − x fx()== cosh x 2 Is of course not a one to one function. (observe the graph of the function earlier). In order to have an inverse the DOMAIN of the function is restricted. eexx+ − fx()== cosh x , x≥ 0 2 This is a one to one mapping with RANGE [1, ∞] . We find the inverse function in logarithmic form in a similar way. y = cosh −1 x x = cosh y provided y ≥ 0 eeyy+ − xy==cosh 2 2xe=+yy e− 02=−+exeyy− 2 yy 02=−exe +1 USING QUADRATIC FORMULA −24xx±−2 4 e y = 2 y 2 exx=± −1 TAKING LOGS yxx=±−ln2 1 { } yxx=+−ln2 1 is one possible expression { } APPROPRIATE IF THE DOMAIN OF THE ORIGINAL FUNCTION HAD BEEN RESTRICTED AS EXPLAINED ABOVE. -
18.102 Introduction to Functional Analysis Spring 2009
MIT OpenCourseWare http://ocw.mit.edu 18.102 Introduction to Functional Analysis Spring 2009 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms. 108 LECTURE NOTES FOR 18.102, SPRING 2009 Lecture 19. Thursday, April 16 I am heading towards the spectral theory of self-adjoint compact operators. This is rather similar to the spectral theory of self-adjoint matrices and has many useful applications. There is a very effective spectral theory of general bounded but self- adjoint operators but I do not expect to have time to do this. There is also a pretty satisfactory spectral theory of non-selfadjoint compact operators, which it is more likely I will get to. There is no satisfactory spectral theory for general non-compact and non-self-adjoint operators as you can easily see from examples (such as the shift operator). In some sense compact operators are ‘small’ and rather like finite rank operators. If you accept this, then you will want to say that an operator such as (19.1) Id −K; K 2 K(H) is ‘big’. We are quite interested in this operator because of spectral theory. To say that λ 2 C is an eigenvalue of K is to say that there is a non-trivial solution of (19.2) Ku − λu = 0 where non-trivial means other than than the solution u = 0 which always exists. If λ =6 0 we can divide by λ and we are looking for solutions of −1 (19.3) (Id −λ K)u = 0 −1 which is just (19.1) for another compact operator, namely λ K: What are properties of Id −K which migh show it to be ‘big? Here are three: Proposition 26. -
Curl, Divergence and Laplacian
Curl, Divergence and Laplacian What to know: 1. The definition of curl and it two properties, that is, theorem 1, and be able to predict qualitatively how the curl of a vector field behaves from a picture. 2. The definition of divergence and it two properties, that is, if div F~ 6= 0 then F~ can't be written as the curl of another field, and be able to tell a vector field of clearly nonzero,positive or negative divergence from the picture. 3. Know the definition of the Laplace operator 4. Know what kind of objects those operator take as input and what they give as output. The curl operator Let's look at two plots of vector fields: Figure 1: The vector field Figure 2: The vector field h−y; x; 0i: h1; 1; 0i We can observe that the second one looks like it is rotating around the z axis. We'd like to be able to predict this kind of behavior without having to look at a picture. We also promised to find a criterion that checks whether a vector field is conservative in R3. Both of those goals are accomplished using a tool called the curl operator, even though neither of those two properties is exactly obvious from the definition we'll give. Definition 1. Let F~ = hP; Q; Ri be a vector field in R3, where P , Q and R are continuously differentiable. We define the curl operator: @R @Q @P @R @Q @P curl F~ = − ~i + − ~j + − ~k: (1) @y @z @z @x @x @y Remarks: 1. -
Glossary of Linear Algebra Terms
INNER PRODUCT SPACES AND THE GRAM-SCHMIDT PROCESS A. HAVENS 1. The Dot Product and Orthogonality 1.1. Review of the Dot Product. We first recall the notion of the dot product, which gives us a familiar example of an inner product structure on the real vector spaces Rn. This product is connected to the Euclidean geometry of Rn, via lengths and angles measured in Rn. Later, we will introduce inner product spaces in general, and use their structure to define general notions of length and angle on other vector spaces. Definition 1.1. The dot product of real n-vectors in the Euclidean vector space Rn is the scalar product · : Rn × Rn ! R given by the rule n n ! n X X X (u; v) = uiei; viei 7! uivi : i=1 i=1 i n Here BS := (e1;:::; en) is the standard basis of R . With respect to our conventions on basis and matrix multiplication, we may also express the dot product as the matrix-vector product 2 3 v1 6 7 t î ó 6 . 7 u v = u1 : : : un 6 . 7 : 4 5 vn It is a good exercise to verify the following proposition. Proposition 1.1. Let u; v; w 2 Rn be any real n-vectors, and s; t 2 R be any scalars. The Euclidean dot product (u; v) 7! u · v satisfies the following properties. (i:) The dot product is symmetric: u · v = v · u. (ii:) The dot product is bilinear: • (su) · v = s(u · v) = u · (sv), • (u + v) · w = u · w + v · w. -
The Nth Root of a Number Page 1
Lecture Notes The nth Root of a Number page 1 Caution! Currently, square roots are dened differently in different textbooks. In conversations about mathematics, approach the concept with caution and rst make sure that everyone in the conversation uses the same denition of square roots. Denition: Let A be a non-negative number. Then the square root of A (notation: pA) is the non-negative number that, if squared, the result is A. If A is negative, then pA is undened. For example, consider p25. The square-root of 25 is a number, that, when we square, the result is 25. There are two such numbers, 5 and 5. The square root is dened to be the non-negative such number, and so p25 is 5. On the other hand, p 25 is undened, because there is no real number whose square, is negative. Example 1. Evaluate each of the given numerical expressions. a) p49 b) p49 c) p 49 d) p 49 Solution: a) p49 = 7 c) p 49 = unde ned b) p49 = 1 p49 = 1 7 = 7 d) p 49 = 1 p 49 = unde ned Square roots, when stretched over entire expressions, also function as grouping symbols. Example 2. Evaluate each of the following expressions. a) p25 p16 b) p25 16 c) p144 + 25 d) p144 + p25 Solution: a) p25 p16 = 5 4 = 1 c) p144 + 25 = p169 = 13 b) p25 16 = p9 = 3 d) p144 + p25 = 12 + 5 = 17 . Denition: Let A be any real number. Then the third root of A (notation: p3 A) is the number that, if raised to the third power, the result is A. -
Math Symbol Tables
APPENDIX A I Math symbol tables A.I Hebrew letters Type: Print: Type: Print: \aleph ~ \beth :J \daleth l \gimel J All symbols but \aleph need the amssymb package. 346 Appendix A A.2 Greek characters Type: Print: Type: Print: Type: Print: \alpha a \beta f3 \gamma 'Y \digamma F \delta b \epsilon E \varepsilon E \zeta ( \eta 'f/ \theta () \vartheta {) \iota ~ \kappa ,.. \varkappa x \lambda ,\ \mu /-l \nu v \xi ~ \pi 7r \varpi tv \rho p \varrho (} \sigma (J \varsigma <; \tau T \upsilon v \phi ¢ \varphi 'P \chi X \psi 'ljJ \omega w \digamma and \ varkappa require the amssymb package. Type: Print: Type: Print: \Gamma r \varGamma r \Delta L\ \varDelta L.\ \Theta e \varTheta e \Lambda A \varLambda A \Xi ~ \varXi ~ \Pi II \varPi II \Sigma 2: \varSigma E \Upsilon T \varUpsilon Y \Phi <I> \varPhi t[> \Psi III \varPsi 1ft \Omega n \varOmega D All symbols whose name begins with var need the amsmath package. Math symbol tables 347 A.3 Y1EX binary relations Type: Print: Type: Print: \in E \ni \leq < \geq >'" \11 « \gg \prec \succ \preceq \succeq \sim \cong \simeq \approx \equiv \doteq \subset c \supset \subseteq c \supseteq \sqsubseteq c \sqsupseteq \smile \frown \perp 1- \models F \mid I \parallel II \vdash f- \dashv -1 \propto <X \asymp \bowtie [Xl \sqsubset \sqsupset \Join The latter three symbols need the latexsym package. 348 Appendix A A.4 AMS binary relations Type: Print: Type: Print: \leqs1ant :::::; \geqs1ant ): \eqs1ant1ess :< \eqs1antgtr :::> \lesssim < \gtrsim > '" '" < > \lessapprox ~ \gtrapprox \approxeq ~ \lessdot <:: \gtrdot Y \111 «< \ggg »> \lessgtr S \gtr1ess Z < >- \lesseqgtr > \gtreq1ess < > < \gtreqq1ess \lesseqqgtr > < ~ \doteqdot --;- \eqcirc = .2.. -
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