Chapter 14: Problem 73
If \(f(x)=\frac{x^{2}-1}{x^{2}+1}\), for every real number, then minimum value of \(f\) (A) Does not exist (B) Is note attained even through \(f\) is bounded (C) Is equal to 1 (D) Is equal to \(-1\)
Short Answer
Expert verified
(D) The minimum value is -1, occurring at x = 0.
Step by step solution
01
Write Expression for f(x)
We are given the function \( f(x) = \frac{x^2 - 1}{x^2 + 1} \). Our task is to find the minimum value of this function across all real numbers \( x \).
02
Analyze the Range of Values for f(x)
To find the range of \( f(x) \), we observe the fraction \( \frac{x^2 - 1}{x^2 + 1} \). By experimenting with values of \( x \), note that as \( x \) approaches large values, the fraction approaches 1 from the left. Similarly, as \( x \) approaches negative large values, the fraction also approaches 1 from the left. Therefore, the range should lie between -1 and 1.
03
Set Derivative to Find Critical Points
To find minimum or maximum values, take the derivative \( f'(x) \) and set it to zero. Calculating, \( f'(x) = \frac{(x^2+1)(2x) - (x^2-1)(2x)}{(x^2 + 1)^2} = \frac{4x}{(x^2+1)^2} \). Set \( f'(x) = 0 \), giving \( x = 0 \) as the only critical point.
04
Evaluate f(x) at Critical Points and End Behavior
Plug \( x = 0 \) into \( f(x) = \frac{x^2 - 1}{x^2 + 1} \) to get \( f(0) = \frac{0^2 - 1}{0^2 + 1} = -1 \). Additionally, consider the end behavior: As \( x \rightarrow \pm \infty \), \( f(x) \) approaches 1. Thus, the minimum occurs at \( x = 0 \) with \( f(x) = -1 \).
05
Conclusion on Minimum Value
The global minimum value of the function \( f(x) \) is -1, occurring at \( x = 0 \).
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Critical Points
Critical points are where a function's derivative is either zero or undefined. For the function \( f(x) = \frac{x^2 - 1}{x^2 + 1} \), critical points help us determine where the function might have a maximum, minimum, or plateau. Finding these points starts with taking the derivative of the function.
For \( f(x) \), the derivative \( f'(x) = \frac{4x}{(x^2+1)^2} \). To find the critical points, we set \( f'(x) = 0 \). Here, the numerator must be zero because the denominator can't be zero (as it would make the expression undefined).
Thus, the critical point is obtained when \( x = 0 \). At this point, we can then evaluate the function to understand the nature of \( f(x) \) at this critical point. Plugging \( x = 0 \) back into the function gives us \( f(0) = -1 \), indicating a potential minimum value.
For \( f(x) \), the derivative \( f'(x) = \frac{4x}{(x^2+1)^2} \). To find the critical points, we set \( f'(x) = 0 \). Here, the numerator must be zero because the denominator can't be zero (as it would make the expression undefined).
Thus, the critical point is obtained when \( x = 0 \). At this point, we can then evaluate the function to understand the nature of \( f(x) \) at this critical point. Plugging \( x = 0 \) back into the function gives us \( f(0) = -1 \), indicating a potential minimum value.
Derivative Test
The derivative test is a method to determine if a critical point is a maximum, minimum, or neither. For our function, we use the first derivative test. This involves analyzing the sign of \( f'(x) \) around the critical point found.
When \( x < 0 \), \( f'(x) = \frac{4x}{(x^2+1)^2} \) results in a negative value, indicating that the function is decreasing. Conversely, when \( x > 0 \), \( f'(x) \) is positive, showing the function is increasing. The change from negative to positive across \( x = 0 \) suggests that this critical point is indeed a minimum.
This implies that at \( x = 0 \), the function transitions from decreasing to increasing, confirming that \( f(0) = -1 \) is the minimum value of the function.
When \( x < 0 \), \( f'(x) = \frac{4x}{(x^2+1)^2} \) results in a negative value, indicating that the function is decreasing. Conversely, when \( x > 0 \), \( f'(x) \) is positive, showing the function is increasing. The change from negative to positive across \( x = 0 \) suggests that this critical point is indeed a minimum.
This implies that at \( x = 0 \), the function transitions from decreasing to increasing, confirming that \( f(0) = -1 \) is the minimum value of the function.
Function Behavior at Infinity
The behavior of a function as \( x \) approaches infinity, both positively and negatively, helps us understand its limits and range. For \( f(x) = \frac{x^2 - 1}{x^2 + 1} \), evaluating how the function behaves when \( x \) tends towards infinity or negative infinity confirms the range of possible values that \( f(x) \) can take.
As \( x \rightarrow +\infty \) or \( x \rightarrow -\infty \), notice that both \( x^2 - 1 \) and \( x^2 + 1 \) are dominated by the \( x^2 \) term, making the fraction approximate to \( \frac{x^2}{x^2} = 1 \). However, the function approaches this limit from just below, so \( f(x) \rightarrow 1^- \).
This behavior confirms that while the function approaches 1 as \( x \) travels to infinity, it never actually reaches this value, thus helping establish the range of \( (-1, 1) \) for \( f(x) \). Together, with the critical point evaluation, this shows that the minimum value the function can attain is \(-1\).
As \( x \rightarrow +\infty \) or \( x \rightarrow -\infty \), notice that both \( x^2 - 1 \) and \( x^2 + 1 \) are dominated by the \( x^2 \) term, making the fraction approximate to \( \frac{x^2}{x^2} = 1 \). However, the function approaches this limit from just below, so \( f(x) \rightarrow 1^- \).
This behavior confirms that while the function approaches 1 as \( x \) travels to infinity, it never actually reaches this value, thus helping establish the range of \( (-1, 1) \) for \( f(x) \). Together, with the critical point evaluation, this shows that the minimum value the function can attain is \(-1\).