Problem 57
Question
Evaluate the derivative \(f^{\prime}\) of the given function \(f\) in two ways. First, apply the Chain Rule to \(f(x)\) without simplifying \(f(x)\) in advance. Second, simplify \(f(x)\), and then differentiate the simplified expression. Verify that the two expressions are equal. $$ f(x)=\ln \left(x^{2}\right) $$
Step-by-Step Solution
Verified Answer
The derivative is \( f'(x) = \frac{2}{x} \) using both methods.
1Step 1: Applying the Chain Rule
First, identify the outer function and the inner function. Here, the outer function is \( g(u) = \ln(u) \) and the inner function is \( u(x) = x^2 \). According to the chain rule, the derivative \( f'(x) \) can be found by differentiating the outer function with respect to the inner function and then multiplying by the derivative of the inner function. This gives: \[ f'(x) = \frac{d}{dx}[g(u(x))] = g'(u(x)) \cdot u'(x) \] Since \( g(u) = \ln(u) \), \( g'(u) = \frac{1}{u} \). The derivative of \( u(x) = x^2 \) is \( u'(x) = 2x \). Therefore, \( f'(x) = \frac{1}{x^2} \cdot 2x \). Simplifying gives: \[ f'(x) = \frac{2x}{x^2} = \frac{2}{x} \]
2Step 2: Simplifying the Function and Differentiating
Simplify \( f(x) = \ln(x^2) \) using logarithmic identities. The property \( \ln(a^b) = b\ln(a) \) allows us to rewrite \( \ln(x^2) \) as \( 2\ln(x) \).Now differentiate \( f(x) = 2\ln(x) \). The derivative of \( \ln(x) \) is \( \frac{1}{x} \), so: \[ f'(x) = 2 \cdot \frac{1}{x} = \frac{2}{x} \]
3Step 3: Verification
Compare the results from Step 1 and Step 2. Both methods resulted in the derivative \( f'(x) = \frac{2}{x} \). This confirms consistency across both approaches and verifies the result.
Key Concepts
Understanding the Chain Rule in CalculusLogarithmic Differentiation Made EasySimplification Techniques in Calculus
Understanding the Chain Rule in Calculus
When working with derivatives in calculus, the Chain Rule is a fundamental tool that helps us differentiate composite functions. A composite function is essentially a function within another function, like nesting dolls. For example, if we have a function like \( f(x) = \ln(x^2) \), we can see that it's a combination of the outer function \( g(u) = \ln u \) and the inner function \( u(x) = x^2 \).
The Chain Rule tells us that the derivative of a composite function \( f'(x) \) can be determined by first finding the derivative of the outer function with respect to the inner function, and then multiplying it by the derivative of the inner function itself. Think of it as peeling away layers, working from the outside in.
This rule simplifies the differentiation process for complex functions and is especially powerful when dealing with functions expressed in layers.
The Chain Rule tells us that the derivative of a composite function \( f'(x) \) can be determined by first finding the derivative of the outer function with respect to the inner function, and then multiplying it by the derivative of the inner function itself. Think of it as peeling away layers, working from the outside in.
- The derivative of the outer function \( g(u) = \ln(u) \) is \( g'(u) = \frac{1}{u} \).
- The derivative of the inner function \( u(x) = x^2 \) is \( u'(x) = 2x \).
This rule simplifies the differentiation process for complex functions and is especially powerful when dealing with functions expressed in layers.
Logarithmic Differentiation Made Easy
Logarithmic Differentiation is a powerful technique often used when dealing with products, quotients, or exponential functions. It's particularly useful when simplifying the differentiation of a complex function like \( f(x) = \ln(x^2) \).
By utilizing properties of logarithms and simplifying the function first, we make the differentiation process much easier. In the case of \( \ln(x^2) \), we apply the property \( \ln(a^b) = b\ln(a) \), which simplifies \( \ln(x^2) \) to \( 2\ln(x) \). This reformulation transforms a potentially tricky expression into something far simpler to differentiate.
Once simplified to \( 2\ln(x) \), the differentiation becomes straightforward. The derivative of \( \ln(x) \) is \( \frac{1}{x} \), so for the function \( 2\ln(x) \), the derivative becomes:
By utilizing properties of logarithms and simplifying the function first, we make the differentiation process much easier. In the case of \( \ln(x^2) \), we apply the property \( \ln(a^b) = b\ln(a) \), which simplifies \( \ln(x^2) \) to \( 2\ln(x) \). This reformulation transforms a potentially tricky expression into something far simpler to differentiate.
Once simplified to \( 2\ln(x) \), the differentiation becomes straightforward. The derivative of \( \ln(x) \) is \( \frac{1}{x} \), so for the function \( 2\ln(x) \), the derivative becomes:
- \( f'(x) = 2 \cdot \frac{1}{x} = \frac{2}{x} \).
Simplification Techniques in Calculus
Simplification in calculus is not just about making expressions shorter or neater; it's about making them manageable and solvable. When you simplify before differentiating, you often reduce the complexity of your calculations, leading to quicker and more accurate results. In the given problem, before differentiation, we simplified \( f(x) = \ln(x^2) \) to \( 2\ln(x) \).
One main simplification strategy is using properties of logarithms, such as \( \ln(a^b) = b\ln(a) \). This approach not only simplifies the expression but helps avoid potential errors during the differentiation process.
Moreover, simplification is crucial when verifying your results. After obtaining the derivatives using different methods (Chain Rule and Logarithmic Differentiation), simplified forms make it easy to compare and verify if they match, ensuring consistency. This ultimately builds confidence in your solution's accuracy.
One main simplification strategy is using properties of logarithms, such as \( \ln(a^b) = b\ln(a) \). This approach not only simplifies the expression but helps avoid potential errors during the differentiation process.
Moreover, simplification is crucial when verifying your results. After obtaining the derivatives using different methods (Chain Rule and Logarithmic Differentiation), simplified forms make it easy to compare and verify if they match, ensuring consistency. This ultimately builds confidence in your solution's accuracy.
- Simplification reduces complexity.
- Makes verification straightforward.
- Avoids unnecessary errors.
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