Derivative Of Square Root Of 3x

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Mar 25, 2025 · 5 min read

Derivative Of Square Root Of 3x
Derivative Of Square Root Of 3x

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    Unveiling the Derivative of √(3x): A Comprehensive Guide

    The derivative of a function describes its instantaneous rate of change at any given point. Understanding how to find derivatives is fundamental in calculus and has broad applications across various fields, from physics and engineering to economics and finance. This comprehensive guide delves into the derivation of the derivative of √(3x), exploring different approaches and highlighting key concepts along the way. We'll go beyond simply stating the answer, providing a thorough understanding of the underlying principles.

    Understanding the Basics: Derivatives and the Power Rule

    Before tackling the derivative of √(3x), let's refresh our understanding of fundamental concepts. The derivative of a function, denoted as f'(x) or df/dx, measures the slope of the tangent line to the function's graph at a specific point.

    The power rule is a cornerstone of differentiation. It states that the derivative of x<sup>n</sup> is nx<sup>n-1</sup>, where 'n' is any real number. This rule simplifies the process of finding derivatives for a wide range of functions.

    Rewriting the Function: Preparing for Differentiation

    The expression √(3x) can be rewritten in a more manageable form using exponential notation. Recall that the square root is equivalent to raising to the power of 1/2. Therefore, √(3x) = (3x)<sup>1/2</sup>. This rewriting is crucial for applying the power rule effectively.

    Applying the Chain Rule: A Necessary Step

    The function (3x)<sup>1/2</sup> is a composite function—a function within a function. To differentiate such functions, we employ the chain rule. The chain rule states that the derivative of a composite function f(g(x)) is f'(g(x)) * g'(x).

    In our case:

    • f(u) = u<sup>1/2</sup> (where u = 3x)
    • g(x) = 3x

    Let's find the derivatives of f(u) and g(x):

    • f'(u) = (1/2)u<sup>-1/2</sup> (Applying the power rule)
    • g'(x) = 3 (The derivative of 3x with respect to x)

    Step-by-Step Differentiation Using the Chain Rule

    Now, we apply the chain rule:

    1. Substitute: Replace 'u' in f'(u) with g(x): f'(g(x)) = (1/2)(3x)<sup>-1/2</sup>

    2. Multiply: Multiply f'(g(x)) by g'(x): (1/2)(3x)<sup>-1/2</sup> * 3

    3. Simplify: Combine the constants and rewrite using radical notation: (3/2)(3x)<sup>-1/2</sup> = (3/2) * 1/√(3x) = 3 / (2√(3x))

    Therefore, the derivative of √(3x) is 3 / (2√(3x)).

    Alternative Approach: Implicit Differentiation

    While the chain rule provides a direct and efficient method, we can also employ implicit differentiation. This approach is particularly useful when dealing with more complex equations.

    Let's consider y = √(3x). We can square both sides to eliminate the square root: y² = 3x.

    Now, differentiate both sides with respect to x, remembering to apply the chain rule to the left-hand side:

    2y(dy/dx) = 3

    Solving for dy/dx (which is the derivative):

    dy/dx = 3 / (2y)

    Finally, substitute y = √(3x) back into the equation:

    dy/dx = 3 / (2√(3x))

    This confirms our earlier result obtained using the chain rule.

    Simplifying the Derivative: Rationalizing the Denominator

    While the derivative 3 / (2√(3x)) is perfectly valid, we can further simplify it by rationalizing the denominator. This involves multiplying both the numerator and denominator by √(3x):

    (3 / (2√(3x))) * (√(3x) / √(3x)) = (3√(3x)) / (2 * 3x) = √(3x) / (2x)

    Therefore, another equivalent form of the derivative is √(3x) / (2x).

    Applications of the Derivative: Real-world Examples

    The derivative of √(3x) has practical applications in various fields. Let's explore a few examples:

    1. Rate of Change in Economics:

    Imagine a function describing the relationship between the quantity of a product demanded (x) and its price (√(3x)). The derivative would represent the rate of change in price with respect to the quantity demanded. This information is crucial for businesses to understand market dynamics and optimize pricing strategies.

    2. Velocity in Physics:

    If √(3x) represents the displacement of an object, the derivative represents its velocity. Understanding the velocity function helps predict the object's motion and analyze its behavior over time.

    3. Optimization Problems:

    Finding the maximum or minimum values of a function often involves analyzing its derivative. The derivative helps locate critical points, where the slope is zero, indicating potential maxima or minima.

    Beyond the Basics: Higher-Order Derivatives

    We've focused on the first derivative, but it's important to note that we can find higher-order derivatives as well. The second derivative represents the rate of change of the first derivative, and similarly for higher-order derivatives. These higher-order derivatives offer further insights into the behavior of the original function. For instance, the second derivative of √(3x) can be calculated by differentiating 3 / (2√(3x)) or √(3x) / (2x) again, using appropriate rules of differentiation.

    Conclusion: Mastering the Derivative of √(3x)

    This comprehensive guide explored the derivation of the derivative of √(3x), employing both the chain rule and implicit differentiation. We demonstrated the importance of rewriting the function in exponential form and highlighted the significance of simplifying the derivative to obtain equivalent expressions. Furthermore, we discussed the real-world applications of this derivative across various fields. By understanding the underlying principles and techniques, you can confidently approach more complex differentiation problems and unlock deeper insights into the behavior of functions. Remember, practice is key to mastering calculus and its applications. Work through various problems and gradually increase the complexity to solidify your understanding. The journey to mastering calculus is rewarding, opening doors to a vast array of applications and further mathematical exploration.

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