Question:

Let \(f(x)=x+log_{e}​x−xlog_{e}​x,\text{ }x∈(0,∞)\).

  • Column 1 contains information about zeros of \(f(x)\)\(f'(x)\) and \(f''(x)\).
  • Column 2 contains information about the limiting behavior of \(f(x)\)\(f'(x)\) and \(f''(x)\) at infinity.
  • Column 3 contains information about increasing/decreasing nature of \(f(x)\) and \(f'(x)\).

Updated On: Jan 31, 2023
  • (I) (iii) (P)
  • (II) (iv) (Q)
  • (III) (i) (R)
  • (II) (iii) (P)
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The Correct Option is C

Solution and Explanation



1) $f ( x )= x +\log _{e}( x )- x \log _{e}( x )$
2) $f ^{\prime}( x )=\frac{1}{ x }-\log _{ e }( x )$
3) $f^{\prime \prime}(x)=-\frac{(x+1)}{x^{2}}<0 \forall x>0$
4) $f (1)= f ( e )=1, f \left( e ^{2}\right)<0$
5) $f ^{\prime}(1)=1, f ^{\prime}( e )=\frac{1}{ e }-1<0$
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Questions Asked in JEE Advanced exam

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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