/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Problem 15 For Activities 7 through \(18,\)... [FREE SOLUTION] | 91Ó°ÊÓ

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For Activities 7 through \(18,\) write the first and second derivatives of the function. \(f(x)=3.2 \ln x+7.1\)

Short Answer

Expert verified
The first derivative is \( f'(x) = \frac{3.2}{x} \) and the second derivative is \( f''(x) = -\frac{3.2}{x^2} \).

Step by step solution

01

Identify the Function and Differentiate

The given function is the logarithmic function \[ f(x) = 3.2 \ln x + 7.1 \].To find the first derivative, we'll apply the derivative rule for the natural logarithm, \( (\ln x)' = \frac{1}{x} \).
02

First Derivative

Applying the derivative:\[f'(x) = 3.2 \cdot \frac{d}{dx}(\ln x) = 3.2 \cdot \frac{1}{x} \]So, the first derivative is:\[f'(x) = \frac{3.2}{x}\]
03

Differentiate Again for Second Derivative

Now we need to find the second derivative by differentiating the first derivative:\[f'(x) = \frac{3.2}{x}\]The derivative \( \frac{1}{x} \) is \( -\frac{1}{x^2} \).
04

Second Derivative

Applying the derivative rule for \( \frac{1}{x} \):\[f''(x) = 3.2 \cdot -\frac{1}{x^2} = -\frac{3.2}{x^2}\]So, the second derivative is:\[f''(x) = -\frac{3.2}{x^2} \]

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Logarithmic Function
A logarithmic function is a mathematical expression where a constant base is raised to a power. The natural logarithm is represented by \( \ln x \), where the base is the irrational number \( e \), approximately equal to 2.71828. Logs are useful in various fields such as science, economics, and engineering.
The principles of logarithms rely on rules like:
  • \( \ln(a \cdot b) = \ln a + \ln b \)
  • \( \ln \left( \frac{a}{b} \right) = \ln a - \ln b \)
  • \( \ln(a^b) = b \ln a \)
When we differentiate a natural logarithmic function, often these rules help us simplify complex expressions. Differentiating \( \ln x \) directly results in \( \frac{1}{x} \), a foundation for other more complex derivatives. In the provided problem, the logarithm helps us identify the approach to differentiation.
First Derivative
Finding the first derivative refers to calculating the rate at which a function changes. In other words, it tells us how steeply the function is increasing or decreasing. For a function involving a natural logarithm like \( f(x) = 3.2 \ln x + 7.1 \), this involves simple rules of calculus.
To find the first derivative, apply the power rule and the derivative of \( \ln x \). The derivative for \( \ln x \) is \( \frac{1}{x} \). By multiplying with the constant 3.2 in the original function, we achieve \( f'(x) = \frac{3.2}{x} \).
  • This tells us that the rate of change depends on \( x \), being inversely proportional.
  • As \( x \) increases, \( f'(x) \) decreases.
  • This helps us identify the behavior of the logarithmic curve and make further conclusions on its intervals of increase or decrease.
The first derivative is crucial in understanding the dynamic nature of the original function.
Second Derivative
A second derivative represents the rate of change of the first derivative, or in simpler terms, the acceleration of the function. This can inform us how the "rate at which a function is changing" itself changes.
In the example, once we have \( f'(x) = \frac{3.2}{x} \), we differentiate again. The derivative of \( \frac{1}{x} \) is \( -\frac{1}{x^2} \), which results in \( f''(x) = -\frac{3.2}{x^2} \) after applying the constant multiple rule.
  • The negative sign indicates that the concavity of the graph of the original function is downwards.
  • It suggests that as \( x \) increases, the rate at which the slope of the function decreases.
  • This means the function flattens out more as \( x \) grows.
The second derivative is valuable for identifying points of inflection, concavity shifts, and more in the study of a function’s graph.

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