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Question

For the next two (2) items that follow:

Consider the function

\({\rm{f}}\left( {\rm{x}} \right) = \frac{{{{\rm{x}}^2} - 1}}{{{{\rm{x}}^2} + 1}}\) where x ϵ R

What is the minimum value of f(x)?

The correct answer is

-1

Finding the Minimum Value of the Function f(x)

The problem asks us to find the minimum value of the function given by:

\({\rm{f}}\left( {\rm{x}} \right) = \frac{{{{\rm{x}}^2} - 1}}{{{{\rm{x}}^2} + 1}}\), where \({\rm{x}} \in {\rm{R}}\).

We need to find the lowest possible value that this function can take for any real number x.

Analyzing the Function Algebraically

Let's rewrite the function f(x) in a different form to make its behavior clearer. We can perform polynomial division or algebraic manipulation:

\({\rm{f}}\left( {\rm{x}} \right) = \frac{{{{\rm{x}}^2} - 1}}{{{{\rm{x}}^2} + 1}} = \frac{{{{\rm{x}}^2} + 1 - 2}}{{{{\rm{x}}^2} + 1}}\)

Now, we can split this into two terms:

\({\rm{f}}\left( {\rm{x}} \right) = \frac{{{{\rm{x}}^2} + 1}}{{{{\rm{x}}^2} + 1}} - \frac{2}{{{{\rm{x}}^2} + 1}}\)

\({\rm{f}}\left( {\rm{x}} \right) = 1 - \frac{2}{{{{\rm{x}}^2} + 1}}\)

Now let's analyze the term \(\frac{2}{{{{\rm{x}}^2} + 1}}\):

  • The term \({\rm{x}}^2\) is always non-negative for any real number x (\({\rm{x}}^2 \ge 0\)).
  • Therefore, \({\rm{x}}^2 + 1\) is always greater than or equal to 1 (\({\rm{x}}^2 + 1 \ge 1\)).

Consider the fraction \(\frac{2}{{{{\rm{x}}^2} + 1}}\). Since the numerator is a positive constant (2) and the denominator \({\rm{x}}^2 + 1\) is always positive and greater than or equal to 1, the fraction will always be positive. The value of this fraction depends on the value of \({\rm{x}}^2 + 1\).

  • To maximize the fraction \(\frac{2}{{{{\rm{x}}^2} + 1}}\), we need to minimize the denominator \({\rm{x}}^2 + 1\). The minimum value of \({\rm{x}}^2 + 1\) is 1, which occurs when \({\rm{x}}^2 = 0\), i.e., when \({\rm{x}} = 0\).
  • The maximum value of \(\frac{2}{{{{\rm{x}}^2} + 1}}\) is \(\frac{2}{1} = 2\), which occurs at \({\rm{x}} = 0\).
  • As \(|{\rm{x}}|\) increases (approaches infinity), \({\rm{x}}^2 + 1\) increases and approaches infinity. Thus, \(\frac{2}{{{{\rm{x}}^2} + 1}}\) decreases and approaches 0.

Now let's look at the expression for \({\rm{f}}({\rm{x}})\) again: \({\rm{f}}\left( {\rm{x}} \right) = 1 - \frac{2}{{{{\rm{x}}^2} + 1}}\).

To find the minimum value of \({\rm{f}}({\rm{x}})\), we need to subtract the largest possible value from 1. The maximum value of \(\frac{2}{{{{\rm{x}}^2} + 1}}\) is 2, and this occurs at \({\rm{x}} = 0\).

So, the minimum value of \({\rm{f}}({\rm{x}})\) occurs at \({\rm{x}} = 0\).

Let's calculate the value of \({\rm{f}}({\rm{x}})\) at \({\rm{x}} = 0\):

\({\rm{f}}\left( 0 \right) = 1 - \frac{2}{{{0^2} + 1}} = 1 - \frac{2}{1} = 1 - 2 = -1\)

Alternatively, using the original expression:

\({\rm{f}}\left( 0 \right) = \frac{{{0^2} - 1}}{{{0^2} + 1}} = \frac{{ - 1}}{1} = -1\)

For any other value of x, \({\rm{x}}^2 + 1 > 1\), so \(0 < \frac{2}{{{{\rm{x}}^2} + 1}} < 2\). This means \({\rm{f}}({\rm{x}}) = 1 - \frac{2}{{{{\rm{x}}^2} + 1}}\) will be greater than \(1 - 2 = -1\) but less than \(1 - 0 = 1\). The function approaches 1 as \(|{\rm{x}}|\) gets very large, but it never reaches 1.

Thus, the minimum value of the function \({\rm{f}}({\rm{x}})\) is -1.

Using Calculus (for completeness)

We can also find the minimum value using calculus by finding the derivative and critical points.

\({\rm{f}}\left( {\rm{x}} \right) = \frac{{{{\rm{x}}^2} - 1}}{{{{\rm{x}}^2} + 1}}\)

Using the quotient rule, \({\rm{f}}'({\rm{x}}) = \frac{{{\rm{d}}}}{{{\rm{d}}x}}\left( {\frac{{{\rm{u}}}}{{\rm{v}}}} \right) = \frac{{{\rm{u}}'{\rm{v}} - {\rm{uv}}'}}{{{{\rm{v}}^2}}}\), where \({\rm{u}} = {\rm{x}}^2 - 1\) and \({\rm{v}} = {\rm{x}}^2 + 1\).

\({\rm{u}}' = 2{\rm{x}}\) and \({\rm{v}}' = 2{\rm{x}}\).

\({\rm{f}}'({\rm{x}}) = \frac{{(2{\rm{x}})({\rm{x}}^2 + 1) - ({\rm{x}}^2 - 1)(2{\rm{x}})}}{{({\rm{x}}^2 + 1)^2}}\)

\({\rm{f}}'({\rm{x}}) = \frac{{2{\rm{x}}^3 + 2{\rm{x}} - (2{\rm{x}}^3 - 2{\rm{x}})}}{{({\rm{x}}^2 + 1)^2}}\)

\({\rm{f}}'({\rm{x}}) = \frac{{2{\rm{x}}^3 + 2{\rm{x}} - 2{\rm{x}}^3 + 2{\rm{x}}}}{{({\rm{x}}^2 + 1)^2}}\)

\({\rm{f}}'({\rm{x}}) = \frac{{4{\rm{x}}}}{{({\rm{x}}^2 + 1)^2}}\)

To find critical points, set \({\rm{f}}'({\rm{x}}) = 0\):

\(\frac{{4{\rm{x}}}}{{({\rm{x}}^2 + 1)^2}} = 0\)

Since \(({\rm{x}}^2 + 1)^2\) is never zero for real x, we only need to consider the numerator:

\(4{\rm{x}} = 0 \Rightarrow {\rm{x}} = 0\)

The only critical point is \({\rm{x}} = 0\). To determine if this is a minimum or maximum, we can check the sign of \({\rm{f}}'({\rm{x}})\) around \({\rm{x}}=0\).

  • For \({\rm{x}} < 0\), \(4{\rm{x}}\) is negative, \(({\rm{x}}^2 + 1)^2\) is positive. So, \({\rm{f}}'({\rm{x}}) < 0\). The function is decreasing.
  • For \({\rm{x}} > 0\), \(4{\rm{x}}\) is positive, \(({\rm{x}}^2 + 1)^2\) is positive. So, \({\rm{f}}'({\rm{x}}) > 0\). The function is increasing.

Since the function changes from decreasing to increasing at \({\rm{x}} = 0\), there is a local minimum at \({\rm{x}} = 0\). Evaluating the function at \({\rm{x}} = 0\):

\({\rm{f}}\left( 0 \right) = \frac{{{0^2} - 1}}{{{0^2} + 1}} = \frac{{ - 1}}{1} = -1\)

Considering the behavior as \({\rm{x}} \to \pm \infty\), \({\rm{f}}({\rm{x}}) \to 1\). The lowest point the function reaches is -1.

Conclusion

Both the algebraic analysis and the calculus method confirm that the minimum value of the function \({\rm{f}}\left( {\rm{x}} \right) = \frac{{{{\rm{x}}^2} - 1}}{{{{\rm{x}}^2} + 1}}\) is -1.

Method Process Result
Algebraic Analysis Rewrite \({\rm{f}}({\rm{x}}) = 1 - \frac{2}{{{{\rm{x}}^2} + 1}}\). Analyze minimum of denominator \({\rm{x}}^2+1\) to find maximum of \(\frac{2}{{{{\rm{x}}^2} + 1}}\), which gives minimum of \(1 - \frac{2}{{{{\rm{x}}^2} + 1}}\). Minimum value is -1 at x=0.
Calculus Find the derivative \({\rm{f}}'({\rm{x}})\), set \({\rm{f}}'({\rm{x}}) = 0\) to find critical points. Use the first derivative test to classify the critical point. Critical point at x=0, which is a local minimum. \({\rm{f}}(0) = -1\).

Revision Table: Minimum Value of a Function

Concept Explanation Application to f(x)
Minimum Value The smallest value in the range of the function. Seeking the lowest possible output of \({\rm{f}}({\rm{x}})\).
Domain The set of input values for which the function is defined. For \({\rm{f}}({\rm{x}}) = \frac{{{{\rm{x}}^2} - 1}}{{{{\rm{x}}^2} + 1}}\), the denominator \({\rm{x}}^2+1\) is never zero for real x. The domain is all real numbers, \({\rm{x}} \in {\rm{R}}\).
Range The set of output values the function can produce. The range of \({\rm{f}}({\rm{x}})\) is \([-1, 1)\). The minimum is -1, the maximum is approached but not reached (1).
Critical Point A point in the domain where the derivative is zero or undefined. Potential locations for local extrema. \({\rm{f}}'({\rm{x}}) = \frac{{4{\rm{x}}}}{{({\rm{x}}^2 + 1)^2}}\). Critical point at x=0 where \({\rm{f}}'(0) = 0\).

Additional Information: Function Analysis

Understanding the function \({\rm{f}}\left( {\rm{x}} \right) = \frac{{{{\rm{x}}^2} - 1}}{{{{\rm{x}}^2} + 1}}\) further helps grasp its behavior.

  • Symmetry: \({\rm{f}}(-{\rm{x}}) = \frac{{({-x})^2} - 1}{({-x})^2 + 1} = \frac{{{\rm{x}}^2} - 1}{{{\rm{x}}^2} + 1} = {\rm{f}}({\rm{x}})\). The function is an even function, symmetric about the y-axis. This confirms that if there is an extremum at \(x=0\), it's the only one due to symmetry and the single critical point.
  • Horizontal Asymptote: As \({\rm{x}} \to \pm \infty\), \({\rm{f}}({\rm{x}}) \to 1\). The line \(y=1\) is a horizontal asymptote. This means the function values get closer and closer to 1 as \(|{\rm{x}}|\) becomes very large.
  • Vertical Asymptote: Vertical asymptotes occur where the denominator is zero and the numerator is non-zero. Since \({\rm{x}}^2+1\) is never zero for real x, there are no vertical asymptotes.
  • Graph: The graph starts approaching y=1 from below as \(x \to -\infty\), decreases to its minimum value of -1 at \(x=0\), then increases again approaching y=1 from below as \(x \to \infty\).
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Important Questions from Applications of Derivatives

  1. The function is decreasing on :

  2. The function attains local minimum value at :

  3. What is the maximum value of xy ?

  4. Consider the following statements:

    1. \({\rm{y}} = \frac{{{{\rm{e}}^{\rm{x}}} + {{\rm{e}}^{ - {\rm{x}}}}}}{2}\) is an increasing function on [0, ∞).

    2. \({\rm{y}} = \frac{{{{\rm{e}}^{\rm{x}}} - {{\rm{e}}^{ - {\rm{x}}}}}}{2}\)  is an increasing function on (-∞, ∞).

    Which of the above statements is/are correct?

  5. \({\rm{f}}\left( {\rm{x}} \right) = \frac{{{{\rm{x}}^2} - 1}}{{{{\rm{x}}^2} + 1}}\) where x ϵ R

    At what value of x does f(x) attain minimum value?

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