Exponential functions are like supercharged growth machines. They can model everything from to population explosions, showing how things can change rapidly over time. Understanding their properties is key to grasping their power and versatility.

In this part of the chapter, we'll dive into the nuts and bolts of exponential functions. We'll explore their definition, behavior, and how to work with them. Get ready to see how these functions can describe real-world phenomena in mind-blowing ways.

Exponential functions

Definition and components

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  • An exponential function is a function of the form f(x)=abxf(x) = a \cdot b^x where a0a \neq 0, b>0b > 0, and b1b \neq 1
  • In the exponential function f(x)=abxf(x) = a \cdot b^x, aa is the initial value or , bb is the , and xx is the or power
  • The domain of an exponential function is all real numbers, and the range is all positive real numbers

Behavior and properties

  • If the base bb is greater than 1, the function increases exponentially ()
  • If the base bb is between 0 and 1, the function decreases exponentially ()
  • The y-intercept of an exponential function is always (0,a)(0, a), where aa is the initial value
  • Exponential functions exhibit a property called "exponential growth" or "exponential decay" depending on the value of the base bb

Evaluating exponential expressions

Evaluating exponential functions

  • To evaluate an exponential function, substitute the given value of xx into the function and simplify using the order of operations (PEMDAS)
    • Example: Given f(x)=23xf(x) = 2 \cdot 3^x, find f(2)f(2)
      • f(2)=232=29=18f(2) = 2 \cdot 3^2 = 2 \cdot 9 = 18

Simplifying expressions with exponents

  • When simplifying expressions with exponents, apply the properties of exponents:
    • Product rule: aman=am+na^m \cdot a^n = a^{m+n}
    • Quotient rule: am÷an=amna^m \div a^n = a^{m-n} (a0)(a \neq 0)
    • Power rule: (am)n=amn(a^m)^n = a^{mn}
    • Zero exponent rule: a0=1a^0 = 1 (a0)(a \neq 0)
    • Negative exponent rule: an=1ana^{-n} = \frac{1}{a^n} (a0)(a \neq 0)
  • Simplify expressions involving rational exponents using the nth root property: an=a1n\sqrt[n]{a} = a^{\frac{1}{n}}
    • Example: 83=813=2\sqrt[3]{8} = 8^{\frac{1}{3}} = 2
  • Evaluate exponential expressions containing variables using substitution and the properties of exponents
    • Example: Given x=2x = 2 and y=3y = 3, evaluate 2x2y32x^2y^3
      • 2x2y3=2(2)2(3)3=2427=2162x^2y^3 = 2(2)^2(3)^3 = 2 \cdot 4 \cdot 27 = 216

Graphing exponential functions

Creating graphs

  • To graph an exponential function, create a table of values by substituting xx-values into the function and calculating the corresponding yy-values
  • Plot the points from the table of values on a coordinate plane and connect them with a smooth curve

Analyzing graphs

  • Exponential functions are not linear; they curve upward (exponential growth) or downward (exponential decay) depending on the base value
  • The graph of an exponential function will never touch the xx-axis because the range is always positive
  • Analyze the graph to identify key features such as the yy-intercept, asymptotes, and
  • Compare the graphs of exponential functions with different base values to understand how the base affects the growth or decay rate
    • Example: Graph f(x)=2xf(x) = 2^x and g(x)=(12)xg(x) = (\frac{1}{2})^x on the same coordinate plane to compare their behavior

Properties of exponents for problem-solving

Solving exponential equations

  • Use the properties of exponents to simplify expressions and solve equations involving exponents
  • Solve exponential equations by using logarithms to isolate the variable in the exponent
    • Example: Solve 2x=322^x = 32
      • log2(2x)=log2(32)\log_2(2^x) = \log_2(32)
      • xlog2(2)=log2(32)x \log_2(2) = \log_2(32)
      • x1=5x \cdot 1 = 5
      • x=5x = 5

Modeling with exponential functions

  • Apply exponential functions to model real-world situations involving exponential growth or decay (population growth, radioactive decay, compound interest)
  • Understand and apply the continuous growth (or decay) formula A=A0ektA = A_0e^{kt}, where AA is the final amount, A0A_0 is the initial amount, ee is the mathematical constant (approximately 2.71828), kk is the continuous growth (or decay) rate, and tt is the time
    • Example: A population of bacteria starts with 100 cells and doubles every 2 hours. How many bacteria will be present after 6 hours?
      • A=100ektA = 100e^{kt}, where k=ln(2)20.347k = \frac{\ln(2)}{2} \approx 0.347 and t=6t = 6
      • A=100e0.3476800A = 100e^{0.347 \cdot 6} \approx 800 bacteria
  • Recognize and solve problems involving exponential functions in various contexts (biology, physics, economics, computer science)

Key Terms to Review (18)

Asymptote: An asymptote is a line that a graph approaches but never actually touches or intersects. This concept helps in understanding the behavior of functions as they tend toward infinity or as they approach certain critical points. Asymptotes can be vertical, horizontal, or oblique, and they provide important information about the limits and growth of functions, particularly in rational, exponential, and logarithmic contexts.
Base: In mathematics, a base is the number that is raised to a power in an exponential expression. It serves as the fundamental component in exponential functions, where the base determines the rate of growth or decay. Understanding the concept of base is essential for working with exponential functions and their properties, as well as applications involving exponential and logarithmic relationships.
Compound interest: Compound interest is the interest calculated on the initial principal and also on the accumulated interest from previous periods. This creates a situation where interest earns interest, leading to exponential growth over time. The concept is crucial for understanding how savings, investments, and loans grow and can significantly impact financial decisions.
Continuous growth formula: The continuous growth formula is a mathematical expression used to model situations where a quantity grows at a constant rate continuously over time, rather than at discrete intervals. It is commonly represented as $$A = Pe^{rt}$$, where $$A$$ is the final amount, $$P$$ is the initial amount, $$r$$ is the growth rate, and $$t$$ is time. This formula highlights how exponential growth can be applied to various real-world scenarios such as population growth, investment growth, and natural processes.
End behavior: End behavior refers to the behavior of a function as the input values approach positive or negative infinity. This concept is crucial for understanding how polynomial, rational, and exponential functions behave at their extremes, providing insights into their overall shape and characteristics.
Exponent: An exponent is a mathematical notation that indicates how many times a number, known as the base, is multiplied by itself. Exponents play a crucial role in exponential functions, which model situations where growth or decay occurs at a constant rate, leading to rapid increases or decreases in value.
Exponential decay: Exponential decay refers to the process by which a quantity decreases at a rate proportional to its current value, often modeled by the equation $y = y_0 e^{-kt}$, where $y_0$ is the initial amount, $k$ is a positive constant, and $t$ is time. This concept highlights how certain processes diminish over time, such as radioactive decay or depreciation of assets, and connects to the broader implications of exponential functions and logarithmic equations.
Exponential Function Formula: The exponential function formula is a mathematical expression that defines an exponential function, typically in the form of $$f(x) = a imes b^x$$, where 'a' is a constant that represents the initial value, 'b' is the base (a positive real number), and 'x' is the exponent. This formula is crucial for understanding how exponential growth or decay occurs in various contexts, such as population dynamics, finance, and natural processes.
Exponential Growth: Exponential growth refers to a process where the quantity increases at a rate proportional to its current value, leading to rapid increases over time. This phenomenon is commonly represented by an exponential function of the form $$f(t) = a imes b^{t}$$, where 'a' is the initial amount, 'b' is the growth factor, and 't' is time. Understanding exponential growth is crucial as it appears in various contexts, such as population dynamics, finance, and natural phenomena.
Exponential Identity: The exponential identity refers to the mathematical principle that defines how exponential expressions behave under certain conditions, particularly that for any non-zero number 'a', the equation $$a^0 = 1$$ holds true. This identity plays a crucial role in simplifying exponential expressions and is foundational in understanding the properties of exponents, including multiplication and division of exponential terms, as well as the concept of exponential growth and decay.
Graph of y = ab^x: The graph of the equation y = ab^x represents an exponential function where 'a' is a constant that determines the initial value and 'b' is the base that indicates the growth or decay rate. This type of graph shows how rapidly a quantity increases or decreases over time, creating a distinctive curve that either rises steeply or falls gradually based on the value of 'b'. Understanding the characteristics of this graph, including its asymptotic behavior and intercepts, is crucial for analyzing exponential relationships in various contexts.
Horizontal shift: A horizontal shift refers to the transformation of a graph where it is moved left or right along the x-axis. This change occurs when a constant is added to or subtracted from the input variable of a function, altering its original position while maintaining its shape. Understanding horizontal shifts is crucial as they can affect the behavior and properties of various types of functions, including their intercepts, asymptotes, and periodicity.
Inverse function: An inverse function reverses the effect of a given function, meaning that if a function maps an input value to an output value, its inverse will map that output back to the original input. This relationship is fundamental in understanding how functions operate, as it highlights the concept of undoing the transformations made by the original function. The inverse function exists only for functions that are one-to-one, ensuring each output corresponds to one unique input, making it possible to find the inverse through various methods, including algebraic manipulation and graphical interpretation.
Laws of exponents: The laws of exponents are a set of rules that simplify expressions involving powers or exponents. These laws make it easier to manipulate exponential expressions by providing consistent methods for performing operations like multiplication, division, and raising powers to powers. Understanding these laws is crucial for working with exponential functions and their properties, which often appear in various mathematical contexts, including algebra and calculus.
Logarithm: A logarithm is the power to which a base must be raised to produce a given number. It serves as the inverse operation of exponentiation, establishing a fundamental relationship between exponential functions and logarithmic functions. By using logarithms, we can transform multiplicative relationships into additive ones, which simplifies complex calculations, particularly in the context of growth and decay problems commonly associated with exponential functions.
Population growth model: A population growth model is a mathematical representation that describes how populations increase or decrease over time based on certain factors such as birth rates, death rates, and carrying capacity. These models help us understand the dynamics of population changes and can predict future population sizes under different conditions. They are often expressed using exponential functions, which highlight the rapid growth potential of populations in ideal conditions.
Vertical Stretch: A vertical stretch occurs when a function is transformed by multiplying its output values by a factor greater than one, causing the graph to stretch away from the x-axis. This transformation affects the steepness and the overall shape of the graph, making it appear taller without changing the x-coordinates of the points. Understanding vertical stretches is crucial for analyzing how rational and exponential functions behave, especially in terms of their growth rates and graphical representations.
Y-intercept: The y-intercept is the point where a graph crosses the y-axis, indicating the value of the dependent variable when the independent variable is zero. This point is crucial in understanding various types of functions and their behaviors, as it helps establish the relationship between the variables at a specific point. The y-intercept also provides insights into the initial conditions of a situation represented by an equation, revealing vital information about its starting value.
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