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Intermediate Algebra

📘intermediate algebra review

10.3 Evaluate and Graph Logarithmic Functions

Last Updated on June 25, 2024

Exponential and logarithmic expressions are powerful tools for modeling real-world phenomena. They allow us to describe relationships where quantities change at rates proportional to their current values, like compound interest or radioactive decay.

These functions are inverses of each other, with exponential form expressing y in terms of x, and logarithmic form expressing x in terms of y. Understanding their properties and graphs helps solve complex problems in science, finance, and engineering.

Exponential and Logarithmic Expressions

Exponential and logarithmic conversions

Top images from around the web for Exponential and logarithmic conversions
Top images from around the web for Exponential and logarithmic conversions
  • Exponential form bx=yb^x = y expresses a relationship where bb is the base, xx is the exponent, and yy is the result (2^3 = 8)
  • Logarithmic form logb(y)=x\log_b(y) = x expresses the same relationship in a different way, where bb is the base, yy is the argument, and xx is the result (log2(8)=3\log_2(8) = 3)
    • bx=yb^x = y and logb(y)=x\log_b(y) = x are equivalent expressions that can be converted between each other (23=82^3 = 8 is equivalent to log2(8)=3\log_2(8) = 3)
    • These expressions are inverse functions of each other
  • Common logarithm log(x)\log(x) is a logarithm with base 10, written as log10(x)\log_{10}(x) (log(100)=2\log(100) = 2 because 102=10010^2 = 100)
  • Natural logarithm ln(x)\ln(x) is a logarithm with base ee, written as loge(x)\log_e(x), where e2.71828e \approx 2.71828 (ln(e)=1\ln(e) = 1 because e1=ee^1 = e)

Evaluation of logarithmic functions

  • Change of base formula logb(x)=loga(x)loga(b)\log_b(x) = \frac{\log_a(x)}{\log_a(b)} allows rewriting a logarithm with base bb in terms of a logarithm with base aa, where aa is any positive base other than 1 (log5(x)=ln(x)ln(5)\log_5(x) = \frac{\ln(x)}{\ln(5)} rewrites base 5 logarithm in terms of natural logarithm)
  • Product rule logb(MN)=logb(M)+logb(N)\log_b(M \cdot N) = \log_b(M) + \log_b(N) simplifies the logarithm of a product into a sum of logarithms (log2(48)=log2(4)+log2(8)\log_2(4 \cdot 8) = \log_2(4) + \log_2(8))
  • Quotient rule logb(MN)=logb(M)logb(N)\log_b(\frac{M}{N}) = \log_b(M) - \log_b(N) simplifies the logarithm of a quotient into a difference of logarithms (log3(819)=log3(81)log3(9)\log_3(\frac{81}{9}) = \log_3(81) - \log_3(9))
  • Power rule logb(Mn)=nlogb(M)\log_b(M^n) = n \cdot \log_b(M) simplifies the logarithm of a power into a product of the exponent and the logarithm of the base (log2(83)=3log2(8)\log_2(8^3) = 3 \cdot \log_2(8))
  • These rules are known as the properties of logarithms and are essential for simplifying and solving logarithmic equations

Graphing and Solving Logarithmic Functions

Graphs of logarithmic functions

  • Parent function f(x)=logb(x)f(x) = \log_b(x) represents the basic shape of a logarithmic function, where b>0b > 0 and b1b \neq 1 (f(x)=log2(x)f(x) = \log_2(x) is the parent function with base 2)
    • Domain (0,)(0, \infty) means the function is defined for all positive real numbers (logb(x)\log_b(x) is undefined for x0x \leq 0)
    • Range (,)(-\infty, \infty) means the function can take on any real number value
    • Vertical asymptote x=0x = 0 means the graph approaches but never touches the y-axis as xx approaches 0 from the right
    • Increasing if b>1b > 1 means the function increases as xx increases (base 2 logarithm is increasing), decreasing if 0<b<10 < b < 1 means the function decreases as xx increases (base 1/2 logarithm is decreasing)
  • Vertical shift f(x)=logb(x)+kf(x) = \log_b(x) + k moves the graph up by kk units (f(x)=log2(x)+1f(x) = \log_2(x) + 1 shifts the base 2 logarithm up by 1 unit)
  • Horizontal shift f(x)=logb(xh)f(x) = \log_b(x - h) moves the graph right by hh units (f(x)=log2(x3)f(x) = \log_2(x - 3) shifts the base 2 logarithm right by 3 units)
  • Vertical stretch/compression f(x)=alogb(x)f(x) = a \cdot \log_b(x) stretches the graph vertically by a factor of a|a| if a>1|a| > 1 (f(x)=2log2(x)f(x) = 2\log_2(x) stretches the base 2 logarithm vertically by a factor of 2), compresses if 0<a<10 < |a| < 1 (f(x)=12log2(x)f(x) = \frac{1}{2}\log_2(x) compresses the base 2 logarithm vertically by a factor of 1/2)
  • Reflection f(x)=logb(x)f(x) = -\log_b(x) reflects the graph over the x-axis (f(x)=log2(x)f(x) = -\log_2(x) reflects the base 2 logarithm over the x-axis)
  • A graphing calculator can be used to visualize these transformations and explore the behavior of logarithmic functions

Equations with logarithms

  • Isolate the logarithm on one side of the equation to solve for the variable (log3(x)+2=5\log_3(x) + 2 = 5 becomes log3(x)=3\log_3(x) = 3)
  • If the bases are the same, set the arguments equal to each other (log3(x)=log3(27)\log_3(x) = \log_3(27) means x=27x = 27)
  • If the bases are different, use the change of base formula to rewrite the logarithms with the same base (log2(x)=log3(9)\log_2(x) = \log_3(9) becomes ln(x)ln(2)=ln(9)ln(3)\frac{\ln(x)}{\ln(2)} = \frac{\ln(9)}{\ln(3)})
  • Exponentiate both sides of the equation using the base of the logarithm to undo the logarithm (log2(x)=5\log_2(x) = 5 becomes 25=x2^5 = x, so x=32x = 32)

Real-world logarithmic applications

  • Richter scale M=log10(II0)M = \log_{10}(\frac{I}{I_0}) measures the magnitude MM of an earthquake based on the ratio of its intensity II to the threshold intensity I0I_0 (an earthquake with I=10,000I0I = 10,000 I_0 has magnitude M=log10(10,000)=4M = \log_{10}(10,000) = 4)
  • Decibel scale β=10log10(II0)\beta = 10 \cdot \log_{10}(\frac{I}{I_0}) measures the sound intensity level β\beta in decibels based on the ratio of the sound intensity II to the threshold intensity I0I_0 (a sound with I=100I0I = 100 I_0 has intensity level β=10log10(100)=20\beta = 10 \cdot \log_{10}(100) = 20 decibels)
  • pH scale pH=log10([H+])\text{pH} = -\log_{10}([H^+]) measures the acidity or basicity of a solution based on the concentration of hydrogen ions [H+][H^+] in moles per liter (a solution with [H+]=107[H^+] = 10^{-7} mol/L has pH =log10(107)=7= -\log_{10}(10^{-7}) = 7, which is neutral)

Exponential Growth and Decay

  • Exponential growth occurs when a quantity increases at a rate proportional to its current value, often modeled by f(t)=Aektf(t) = A \cdot e^{kt} where AA is the initial amount, k>0k > 0 is the growth rate, and tt is time
  • Exponential decay occurs when a quantity decreases at a rate proportional to its current value, often modeled by f(t)=Aektf(t) = A \cdot e^{-kt} where AA is the initial amount, k>0k > 0 is the decay rate, and tt is time
  • Logarithms are used to solve equations involving exponential growth or decay, such as finding the time it takes for a quantity to double or half

Key Terms to Review (29)

Range: The range of a set of data or a function is the difference between the largest and smallest values in the set. It represents the spread or variation within the data and is a measure of the dispersion or variability of the values.
Exponential Function: An exponential function is a mathematical function in which the independent variable appears as the exponent. These functions exhibit a characteristic growth or decay pattern, where the rate of change is proportional to the current value of the function. Exponential functions are widely used to model a variety of real-world phenomena, from population growth to radioactive decay.
Graphing Calculator: A graphing calculator is a type of handheld electronic device that is capable of displaying mathematical functions and their graphs on a screen. It is a powerful tool used in various mathematical and scientific disciplines to visualize and analyze data, solve equations, and explore mathematical concepts.
Domain: The domain of a function refers to the set of all possible input values for that function. It represents the range of values that the independent variable can take on, and it determines the set of values for which the function is defined.
Asymptote: An asymptote is a straight line that a curve approaches but never touches. It is a key concept in the study of functions, logarithmic functions, and the solving of exponential and logarithmic equations.
Exponential Growth: Exponential growth is a mathematical concept that describes a quantity increasing at a constant rate over time. This pattern of growth is characterized by a variable that multiplies itself by a fixed amount in each successive time period, resulting in a rapidly accelerating increase.
Parent Function: A parent function is the simplest or most basic form of a function, from which other related functions can be derived through various transformations. It serves as the foundation for understanding the behavior and properties of a family of functions.
Quotient Rule: The quotient rule is a mathematical concept that describes how to differentiate a function that is the ratio or quotient of two other functions. It is an essential tool in the study of calculus and is closely related to the properties of exponents, rational exponents, logarithmic functions, and their respective properties.
Product Rule: The product rule is a fundamental concept in mathematics that describes how to differentiate the product of two or more functions. It is a crucial tool for analyzing and manipulating expressions involving exponents, polynomials, and logarithmic functions.
Power Rule: The power rule is a fundamental mathematical concept that describes how to differentiate or integrate a function raised to a power. It is a crucial tool in calculus and algebra, allowing for the simplification and evaluation of expressions involving exponents.
Reflection: Reflection is a mathematical transformation that involves mirroring or flipping an object or function across a line or axis, creating a symmetrical image. This concept is particularly relevant in the context of graphing quadratic functions and evaluating logarithmic functions.
Horizontal Shift: A horizontal shift refers to the lateral movement of a graph or function along the x-axis, either to the left or to the right. This transformation affects the position of the graph without changing its shape or orientation.
Vertical Shift: A vertical shift is a transformation that moves a function up or down on the coordinate plane, without changing the shape or orientation of the function. This concept is important in understanding how to graph and manipulate both quadratic and logarithmic functions.
Inverse Function: An inverse function is a function that reverses the operation of another function. It takes the output of the original function and produces the corresponding input. Inverse functions are closely related to the concepts of composite functions, exponential functions, logarithmic functions, and solving exponential and logarithmic equations.
Common Logarithm: The common logarithm, also known as the base-10 logarithm, is a logarithmic function that expresses how many times a number must be multiplied by 10 to get a given number. It is a fundamental concept in the study of logarithmic functions and their properties.
Logarithmic Equation: A logarithmic equation is an equation that involves logarithmic functions. Logarithmic functions are used to represent exponential relationships and are closely related to exponential equations. Understanding logarithmic equations is crucial for solving problems involving exponential growth and decay, as well as analyzing the behavior of various real-world phenomena that exhibit exponential patterns.
Vertical Stretch: Vertical stretch is a transformation that changes the scale of a function along the y-axis, effectively stretching or compressing the function's graph in the vertical direction. This concept is particularly relevant in the context of evaluating and graphing logarithmic functions.
PH Scale: The pH scale is a measure of the acidity or basicity (alkalinity) of a solution, ranging from 0 to 14. It is a logarithmic scale that indicates the concentration of hydrogen ions (H+) in a solution, with lower values representing higher acidity and higher values representing higher basicity.
Decibel Scale: The decibel scale is a logarithmic unit used to measure the relative intensity or power of a sound. It is commonly employed in the context of evaluating and graphing logarithmic functions, as it provides a convenient way to represent and analyze the behavior of sound waves and their characteristics.
Change of Base Formula: The change of base formula is a mathematical expression that allows for the conversion of logarithmic expressions from one base to another. This formula is essential in the evaluation and graphing of logarithmic functions, the application of logarithmic properties, and the solution of exponential and logarithmic equations.
Log: A logarithm is the exponent to which a base number must be raised to get another number. It represents the power to which a fixed number, the base, must be raised to produce a given number.
Exponential Decay: Exponential decay is a mathematical model that describes the gradual decrease of a quantity over time. It is characterized by an initial value that diminishes at a constant proportional rate, resulting in an exponential decline.
Richter Scale: The Richter scale is a logarithmic scale used to measure the magnitude of earthquakes. It was developed in 1935 by American seismologist Charles Richter and is a widely used tool for quantifying the strength and energy release of seismic events.
Natural Logarithm: The natural logarithm, denoted as $\ln(x)$, is a logarithmic function that represents the power to which the mathematical constant $e$ must be raised to get the value $x$. It is a fundamental concept in mathematics, with applications in various fields, including calculus, physics, and engineering.
Ln: The natural logarithm, denoted as 'ln', is a logarithmic function that describes the power to which a fixed base, specifically the mathematical constant e, must be raised to get a certain value. It is a fundamental concept in mathematics that has applications in various fields, including algebra, calculus, and scientific modeling.
E: e, also known as Euler's number, is a mathematical constant that is the base of the natural logarithm. It is an irrational number, approximately equal to 2.718, and is fundamental to many areas of mathematics, including calculus, exponential functions, and logarithmic functions.
Logarithm: A logarithm is a mathematical function that represents the power to which a fixed number, called the base, must be raised to obtain a given number. Logarithms are closely related to exponential functions and are used to simplify complex calculations, especially in the context of growth and decay processes.
Vertical Asymptote: A vertical asymptote is a vertical line that a graph of a function approaches but never touches. It represents the value of the independent variable where the function is undefined or where the function's value becomes infinitely large or small.
Vertical Compression: Vertical compression is a transformation that scales the graph of a function vertically, either stretching or shrinking the graph along the y-axis. This transformation affects the amplitude or range of the function, altering the vertical scale without changing the horizontal scale.