Question:

The maximum value of $\left( \frac{1}{x} \right)^x$ is

Updated On: Apr 8, 2024
  • $e $
  • $e^e$
  • $e^{1/e}$
  • $\left( \frac{1}{e}\right)^e$
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The Correct Option is C

Solution and Explanation

Let $y=\left(\frac{1}{x}\right)^{x}$
$ \Rightarrow y=x^{-x}$
$\therefore \frac{d y}{d x}=x^{-x}(-1-\log x)$
$\Rightarrow \frac{d y}{d x}=-x^{-x}(1+\log x)$
$\left[\because \frac{d}{d x} f(x)^{d(x)}=f(x)^{g(x)}\right.$
$\left.\left\{g(x) \cdot \frac{1}{f(x)} \cdot f'(x)+g'(x) \log f(x)\right\}\right]$
For maxima,
$\frac{dy}{dx} = 0$
$\Rightarrow 1 + \log\,x = 0\,\,[\because x^{-x} \ne0 ]$
$\Rightarrow \log\,x = -1$
$\Rightarrow x = e^{-1}$
Hence, the maximum value of $\left(\frac{1}{x}\right)^x$ is $\left(\frac{1}{e^{-1}}\right)^{e^{-1}}$
i.e., $(e)^{1/e}$ at $x = e^{-1}$
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Concepts Used:

Application of Derivatives

Various Applications of Derivatives-

Rate of Change of Quantities:

If some other quantity ‘y’ causes some change in a quantity of surely ‘x’, in view of the fact that an equation of the form y = f(x) gets consistently pleased, i.e, ‘y’ is a function of ‘x’ then the rate of change of ‘y’ related to ‘x’ is to be given by 

\(\frac{\triangle y}{\triangle x}=\frac{y_2-y_1}{x_2-x_1}\)

This is also known to be as the Average Rate of Change.

Increasing and Decreasing Function:

Consider y = f(x) be a differentiable function (whose derivative exists at all points in the domain) in an interval x = (a,b).

  • If for any two points x1 and x2 in the interval x such a manner that x1 < x2, there holds an inequality f(x1) ≤ f(x2); then the function f(x) is known as increasing in this interval.
  • Likewise, if for any two points x1 and x2 in the interval x such a manner that x1 < x2, there holds an inequality f(x1) ≥ f(x2); then the function f(x) is known as decreasing in this interval.
  • The functions are commonly known as strictly increasing or decreasing functions, given the inequalities are strict: f(x1) < f(x2) for strictly increasing and f(x1) > f(x2) for strictly decreasing.

Read More: Application of Derivatives