Exponential and Logarithmic Functions | AP Pre-Calculus Unit 2 Review (2025)

Exponential and logarithmic functions are powerful tools in mathematics, describing growth, decay, and inverse relationships. These functions model real-world phenomena like population changes, compound interest, and earthquake magnitudes, making them essential in various fields.Understanding exponential and logarithmic functions involves grasping their properties, graphs, and applications. Key concepts include exponential growth and decay, natural base e, logarithmic properties, and solving equations. These skills are crucial for tackling complex problems in science, economics, and engineering.

Study Guides for Unit 2

2.0Unit 2 Overview: Exponential and Logarithmic Functions5 min read

2.1Change in Arithmetic and Geometric Sequences7 min read

2.2Change in Linear and Exponential Functions6 min read

2.3Exponential Functions6 min read

2.4Exponential Function Manipulation5 min read

2.5Exponential Function Context and Data Modeling5 min read

2.6Competing Function Model Validation5 min read

2.7Composition of Functions5 min read

2.8Inverse Functions3 min read

2.9Logarithmic Expressions3 min read

2.10Inverses of Exponential Functions4 min read

2.11Logarithmic Functions4 min read

2.12Logarithmic Function Manipulation5 min read

2.13Exponential and Logarithmic Equations and Inequalities3 min read

2.14Logarithmic Function Context and Data Modeling3 min read

2.15Semi-log Plots4 min read

Key Concepts and Definitions

  • Exponential functions involve a constant base raised to a variable power and take the form f(x)=bxf(x) = b^xf(x)=bx, where bbb is a positive real number not equal to 1
  • Logarithmic functions are the inverse of exponential functions and take the form f(x)=logb(x)f(x) = \log_b(x)f(x)=logb(x), where bbb is the base and xxx is a positive real number
  • The natural base eee is an irrational constant approximately equal to 2.71828 and is used in natural exponential functions f(x)=exf(x) = e^xf(x)=ex and natural logarithmic functions f(x)=ln(x)f(x) = \ln(x)f(x)=ln(x)
  • Exponential growth occurs when a quantity increases by a constant percent over equal intervals, resulting in an exponential function with a base greater than 1
  • Exponential decay happens when a quantity decreases by a constant percent over equal intervals, resulting in an exponential function with a base between 0 and 1
  • The half-life of an exponentially decaying quantity is the time it takes for the quantity to be reduced by half
  • Doubling time is the time it takes for an exponentially growing quantity to double in value

Properties of Exponential Functions

  • Exponential functions are always positive for positive bases and never equal zero
  • The y-intercept of an exponential function is always (0,1)(0, 1)(0,1)
  • For exponential functions with a base greater than 1, the function increases as x increases, demonstrating exponential growth
    • As x approaches positive infinity, the function values approach positive infinity
    • As x approaches negative infinity, the function values approach 0
  • For exponential functions with a base between 0 and 1, the function decreases as x increases, demonstrating exponential decay
    • As x approaches positive infinity, the function values approach 0
    • As x approaches negative infinity, the function values approach positive infinity
  • The domain of an exponential function is all real numbers, while the range is all positive real numbers
  • Exponential functions have a horizontal asymptote at y = 0

Graphing Exponential Functions

  • To graph an exponential function, start by plotting the y-intercept at (0,1)(0, 1)(0,1)
  • Identify the base of the function to determine if the function represents growth (base > 1) or decay (0 < base < 1)
  • Plot additional points by choosing x-values and calculating the corresponding y-values using the exponential function
  • Connect the points with a smooth curve, keeping in mind the general shape of exponential growth or decay
  • Sketch the horizontal asymptote at y = 0
  • Transformations of exponential functions include:
    • Vertical shifts: f(x)=bx+kf(x) = b^x + kf(x)=bx+k shifts the graph up by kkk units if k>0k > 0k>0 or down by k|k|k units if k<0k < 0k<0
    • Horizontal shifts: f(x)=bxhf(x) = b^{x-h}f(x)=bxh shifts the graph right by hhh units if h>0h > 0h>0 or left by h|h|h units if h<0h < 0h<0
    • Reflections: f(x)=bxf(x) = -b^xf(x)=bx reflects the graph across the x-axis

Introduction to Logarithms

  • Logarithms are the inverse of exponential functions, meaning they "undo" exponentiation
  • The logarithm of a number xxx with base bbb is the exponent to which bbb must be raised to get xxx, written as logb(x)=y\log_b(x) = ylogb(x)=y if and only if by=xb^y = xby=x
  • Common logarithms have a base of 10 and are written as log(x)\log(x)log(x) without a subscript
  • Natural logarithms have a base of eee and are written as ln(x)\ln(x)ln(x)
  • The domain of a logarithmic function is all positive real numbers, while the range is all real numbers
  • Logarithmic functions have a vertical asymptote at x = 0

Properties of Logarithmic Functions

  • Logarithms have several important properties that allow for simplifying and solving equations:
    • Product property: logb(MN)=logb(M)+logb(N)\log_b(MN) = \log_b(M) + \log_b(N)logb(MN)=logb(M)+logb(N)
    • Quotient property: logb(M/N)=logb(M)logb(N)\log_b(M/N) = \log_b(M) - \log_b(N)logb(M/N)=logb(M)logb(N)
    • Power property: logb(Mr)=rlogb(M)\log_b(M^r) = r \cdot \log_b(M)logb(Mr)=rlogb(M)
  • Change of base formula: logb(x)=loga(x)loga(b)\log_b(x) = \frac{\log_a(x)}{\log_a(b)}logb(x)=loga(b)loga(x), where aaa is any positive base
  • The logarithm of 1 in any base is always 0: logb(1)=0\log_b(1) = 0logb(1)=0
  • The logarithm of the base in any base is always 1: logb(b)=1\log_b(b) = 1logb(b)=1
  • Logarithms can be used to solve exponential equations by applying the logarithm to both sides of the equation, using the fact that logarithms and exponents "cancel" each other out

Graphing Logarithmic Functions

  • To graph a logarithmic function, start by drawing the vertical asymptote at x = 0
  • Plot the x-intercept at (1,0)(1, 0)(1,0), which is true for all logarithmic functions
  • Choose positive x-values and calculate the corresponding y-values using the logarithmic function
  • Plot the points and connect them with a smooth curve, keeping in mind the general shape of the logarithmic function
  • Transformations of logarithmic functions include:
    • Vertical shifts: f(x)=logb(x)+kf(x) = \log_b(x) + kf(x)=logb(x)+k shifts the graph up by kkk units if k>0k > 0k>0 or down by k|k|k units if k<0k < 0k<0
    • Horizontal shifts: f(x)=logb(xh)f(x) = \log_b(x - h)f(x)=logb(xh) shifts the graph right by hhh units if h>0h > 0h>0 or left by h|h|h units if h<0h < 0h<0
    • Reflections: f(x)=logb(x)f(x) = -\log_b(x)f(x)=logb(x) reflects the graph across the x-axis
  • The graph of a logarithmic function is a reflection of the corresponding exponential function across the line y = x

Solving Exponential and Logarithmic Equations

  • To solve exponential equations, isolate the exponential expression on one side of the equation and take the logarithm of both sides
    • For example, to solve 2x=82^x = 82x=8, take the logarithm (base 2) of both sides: log2(2x)=log2(8)\log_2(2^x) = \log_2(8)log2(2x)=log2(8), which simplifies to x=3x = 3x=3
  • To solve logarithmic equations, isolate the logarithmic expression on one side of the equation and rewrite it as an exponential equation
    • For example, to solve log3(x)=4\log_3(x) = 4log3(x)=4, rewrite it as an exponential equation: 34=x3^4 = x34=x, which simplifies to x=81x = 81x=81
  • When solving equations involving both exponential and logarithmic expressions, apply the properties of logarithms to simplify the equation before solving
  • Be aware of the domain restrictions when solving equations, as logarithms are only defined for positive arguments

Real-World Applications

  • Exponential functions can model population growth, compound interest, and radioactive decay
    • Population growth: P(t)=P0ertP(t) = P_0e^{rt}P(t)=P0ert, where P0P_0P0 is the initial population, rrr is the growth rate, and ttt is time
    • Compound interest: A(t)=P(1+r)tA(t) = P(1 + r)^tA(t)=P(1+r)t, where PPP is the principal, rrr is the interest rate per compounding period, and ttt is the number of compounding periods
    • Radioactive decay: A(t)=A0ektA(t) = A_0e^{-kt}A(t)=A0ekt, where A0A_0A0 is the initial amount, kkk is the decay constant, and ttt is time
  • Logarithmic functions can model the Richter scale for earthquake magnitudes, the pH scale for acidity, and the decibel scale for sound intensity
    • Richter scale: M=log(II0)M = \log(\frac{I}{I_0})M=log(I0I), where MMM is the magnitude, III is the intensity of the earthquake, and I0I_0I0 is a reference intensity
    • pH scale: pH=log[H+]pH = -\log[H^+]pH=log[H+], where [H+][H^+][H+] is the concentration of hydrogen ions in a solution
    • Decibel scale: β=10log(II0)\beta = 10\log(\frac{I}{I_0})β=10log(I0I), where β\betaβ is the sound intensity level in decibels, III is the sound intensity, and I0I_0I0 is a reference intensity
  • Exponential and logarithmic functions are used in fields such as biology, chemistry, physics, economics, and computer science to model various phenomena and solve problems
Exponential and Logarithmic Functions | AP Pre-Calculus Unit 2 Review (2025)

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