Find The Domain Of The Function Chegg

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Mar 16, 2025 · 5 min read

Find The Domain Of The Function Chegg
Find The Domain Of The Function Chegg

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    Finding the Domain of a Function: A Comprehensive Guide

    Determining the domain of a function is a fundamental concept in mathematics, crucial for understanding the function's behavior and limitations. The domain of a function represents all possible input values (often denoted as 'x') for which the function is defined and produces a real output. This article delves deep into the process of finding the domain, covering various function types and techniques, equipping you with the skills to tackle even complex scenarios. We will explore algebraic functions, radical functions, rational functions, trigonometric functions, logarithmic functions, and composite functions, providing numerous examples and step-by-step solutions.

    Understanding the Concept of Domain

    Before diving into specific function types, let's solidify our understanding of the domain. Simply put, the domain is the set of all permissible inputs. A function is considered undefined if the input leads to an undefined mathematical operation, such as division by zero or taking the square root of a negative number. Identifying these potential issues is key to determining the domain.

    Key Considerations when Determining the Domain:

    • Division by Zero: Avoid any input that results in a denominator of zero. This is a common source of undefined values.
    • Even Roots of Negative Numbers: Functions involving even roots (square roots, fourth roots, etc.) are undefined for negative inputs under the radical.
    • Logarithms of Non-Positive Numbers: Logarithmic functions are only defined for positive arguments. Therefore, the argument of a logarithm must always be greater than zero.
    • Trigonometric Functions: Certain trigonometric functions, like tangent and cotangent, have specific values for which they are undefined.

    Domains of Different Function Types

    Now, let's explore how to find the domain for different types of functions.

    1. Polynomial Functions

    Polynomial functions are the simplest functions to analyze concerning their domain. They are defined for all real numbers. There are no restrictions on the input values.

    Example: f(x) = 3x³ - 2x² + x - 5

    Domain: (-∞, ∞) (all real numbers)

    2. Radical Functions

    Radical functions involve roots, typically square roots. The domain is restricted to values that prevent taking the even root of a negative number.

    Example: f(x) = √(x - 4)

    Solution: The expression inside the square root must be non-negative:

    x - 4 ≥ 0

    x ≥ 4

    Domain: [4, ∞)

    Example: f(x) = √(9 - x²)

    Solution: The expression inside the square root must be non-negative:

    9 - x² ≥ 0

    x² ≤ 9

    -3 ≤ x ≤ 3

    Domain: [-3, 3]

    3. Rational Functions

    Rational functions are defined as the ratio of two polynomial functions. The primary concern here is division by zero. The denominator cannot be equal to zero.

    Example: f(x) = (x + 2) / (x - 3)

    Solution: Set the denominator equal to zero and solve for x:

    x - 3 = 0

    x = 3

    The function is undefined at x = 3.

    Domain: (-∞, 3) U (3, ∞) (all real numbers except 3)

    Example: f(x) = (x² - 4) / (x² - 5x + 6)

    Solution: Factor the denominator:

    f(x) = (x² - 4) / [(x - 2)(x - 3)]

    Set the denominator equal to zero:

    (x - 2)(x - 3) = 0

    x = 2 or x = 3

    The function is undefined at x = 2 and x = 3.

    Domain: (-∞, 2) U (2, 3) U (3, ∞)

    4. Trigonometric Functions

    Trigonometric functions like sine, cosine, and tangent have their own sets of restrictions on the domain.

    • Sine (sin x) and Cosine (cos x): Defined for all real numbers.
    • Tangent (tan x): Undefined where cos x = 0, which occurs at x = (π/2) + nπ, where 'n' is an integer.
    • Cotangent (cot x): Undefined where sin x = 0, which occurs at x = nπ, where 'n' is an integer.
    • Secant (sec x): Undefined where cos x = 0, same as tangent.
    • Cosecant (csc x): Undefined where sin x = 0, same as cotangent.

    5. Logarithmic Functions

    Logarithmic functions are defined only for positive arguments.

    Example: f(x) = log₂(x + 5)

    Solution: The argument must be greater than zero:

    x + 5 > 0

    x > -5

    Domain: (-5, ∞)

    Example: f(x) = ln(x² - 1)

    Solution: The argument must be greater than zero:

    x² - 1 > 0

    (x - 1)(x + 1) > 0

    This inequality holds when x < -1 or x > 1.

    Domain: (-∞, -1) U (1, ∞)

    6. Composite Functions

    Composite functions are formed by combining two or more functions. Finding the domain requires careful consideration of the domains of the individual functions.

    Example: f(x) = √(ln x)

    Solution: We need both ln x to be defined and the result of ln x to be non-negative.

    ln x ≥ 0

    x ≥ e⁰

    x ≥ 1

    Domain: [1, ∞)

    Example: f(g(x)) where f(x) = 1/x and g(x) = x - 2

    Solution: g(x) is defined for all real numbers, but f(x) is undefined when x = 0. Therefore, we need to ensure that g(x) ≠ 0.

    x - 2 ≠ 0

    x ≠ 2

    Domain: (-∞, 2) U (2, ∞)

    Advanced Techniques and Considerations

    Sometimes, determining the domain may require more sophisticated algebraic manipulations or the use of calculus. For example, functions involving absolute values or piecewise functions require careful consideration of each piece's definition. For more complex functions, graphical analysis can often be beneficial in visualizing the domain.

    Conclusion

    Finding the domain of a function is a crucial skill for anyone working with mathematical functions. By understanding the limitations of various mathematical operations and applying the techniques discussed in this article, you can confidently determine the domain of a wide range of functions. Remember to always carefully consider division by zero, even roots of negative numbers, logarithms of non-positive numbers, and the specific restrictions of trigonometric functions. With practice, finding the domain will become second nature, allowing you to move forward with greater confidence in your mathematical endeavors. The principles outlined here provide a strong foundation for tackling more complex functions and understanding the behavior of mathematical models in various fields, from engineering and physics to economics and computer science. The ability to precisely define a function's domain is not just a theoretical exercise, but a necessary step in applying mathematical concepts to real-world problems.

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