JEE Challenger
More from Application of Derivatives

Number of Local Maxima Points for Logarithmic Function Transformation

Let ff be a function defined on R\mathbf{R} (the set of all real numbers) such that
f′(x)=2010(x−2009)(x−2010)2(x−2011)3(x−2012)4, for all x∈R.f'(x)=2010(x-2009)(x-2010)^2(x-2011)^3(x-2012)^4, \text{ for all } x \in \mathbf{R}.
If gg is a function defined on R\mathbf{R} with values in the interval (0,∞)(0, \infty) such that
f(x)=ln⁡(g(x)), for all x∈R,f(x) = \ln (g(x)), \text{ for all } x \in \mathbf{R},
then the number of points in R\mathbf{R} at which gg has a local maximum is

Official Numerical Answer1

Step-by-Step Solution

Given f(x)=ln⁡(g(x))f(x) = \ln (g(x)) for all x∈Rx \in \mathbf{R}, where g(x)∈(0,∞)g(x) \in (0, \infty), we can express g(x)g(x) as:
g(x)=ef(x)g(x) = e^{f(x)}

Differentiating both sides with respect to xx, we get:
g′(x)=ef(x)⋅f′(x)=g(x)f′(x)g'(x) = e^{f(x)} \cdot f'(x) = g(x) f'(x)

Since g(x)>0g(x) > 0 for all x∈Rx \in \mathbf{R}, the sign of g′(x)g'(x) is identical to the sign of f′(x)f'(x). Therefore, g(x)g(x) has a local maximum at a point x0x_0 if and only if f′(x)f'(x) changes sign from positive to negative as xx increases through x0x_0.

We are given the first derivative of f(x)f(x) as:
f′(x)=2010(x−2009)1(x−2010)2(x−2011)3(x−2012)4f'(x) = 2010 (x - 2009)^1 (x - 2010)^2 (x - 2011)^3 (x - 2012)^4

The critical points of f(x)f(x) are x=2009,2010,2011,2012x = 2009, 2010, 2011, 2012.

Let us analyze the sign of f′(x)f'(x) across the intervals formed by these critical points:

  1. For x<2009x < 2009:

    • (x−2009)<0(x - 2009) < 0
    • (x−2010)2>0(x - 2010)^2 > 0
    • (x−2011)3<0(x - 2011)^3 < 0
    • (x−2012)4>0(x - 2012)^4 > 0
    • Thus, f′(x)>0f'(x) > 0.
  2. For 2009<x<20102009 < x < 2010:

    • (x−2009)>0(x - 2009) > 0
    • (x−2010)2>0(x - 2010)^2 > 0
    • (x−2011)3<0(x - 2011)^3 < 0
    • (x−2012)4>0(x - 2012)^4 > 0
    • Thus, f′(x)<0f'(x) < 0.

    Since f′(x)f'(x) changes sign from positive to negative as xx passes through 20092009, f(x)f(x) (and consequently g(x)g(x)) has a local maximum at x=2009x = 2009.

  3. For 2010<x<20112010 < x < 2011:

    • (x−2009)>0(x - 2009) > 0
    • (x−2010)2>0(x - 2010)^2 > 0
    • (x−2011)3<0(x - 2011)^3 < 0
    • (x−2012)4>0(x - 2012)^4 > 0
    • Thus, f′(x)<0f'(x) < 0.

    Since f′(x)f'(x) does not change sign across x=2010x = 2010, x=2010x = 2010 is neither a local maximum nor a local minimum.

  4. For 2011<x<20122011 < x < 2012:

    • (x−2009)>0(x - 2009) > 0
    • (x−2010)2>0(x - 2010)^2 > 0
    • (x−2011)3>0(x - 2011)^3 > 0
    • (x−2012)4>0(x - 2012)^4 > 0
    • Thus, f′(x)>0f'(x) > 0.

    Since f′(x)f'(x) changes sign from negative to positive at x=2011x = 2011, x=2011x = 2011 is a point of local minimum.

  5. For x>2012x > 2012:

    • All factors are positive, so f′(x)>0f'(x) > 0.

    Since f′(x)f'(x) does not change sign across x=2012x = 2012, x=2012x = 2012 is neither a local maximum nor a local minimum.

From the above analysis, g(x)g(x) has a local maximum at only one point, which is x=2009x = 2009.

Hence, the number of points in R\mathbf{R} at which gg has a local maximum is 11.