The function f(x)=log(π+x)log(e+x)f(x) = \frac{\log (\pi + x)}{\log (e + x)} is (a) increasing on (0,)(0, \infty) (b) decreasing on (0,)(0, \infty) (c) increasing on (0,πe)(0, \frac{\pi}{e}), decreasing on (πe,)\left(\frac{\pi}{e}, \infty\right) (d) decreasing on (0,πe)(0, \frac{\pi}{e}), increasing on (πe,)\left(\frac{\pi}{e}, \infty\right)

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Published July 22, 2025
Mathematics
Calculus
Functions
Monotonicity
Derivatives & Logarithms

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Detailed Explanation

Key Concepts Needed

  1. Natural Logarithm (ln\ln)
    • Grows slowly and is defined for positive numbers.
  2. Derivative and Monotonicity
    • If f(x)>0f'(x)>0 for every xx in an interval, ff is increasing there.
    • If f(x)<0f'(x)<0, ff is decreasing.
  3. Quotient Rule for Derivatives
    • For f(x)=u(x)v(x)f(x)=\dfrac{u(x)}{v(x)},
      f(x)=u(x)v(x)u(x)v(x)[v(x)]2f'(x)=\dfrac{u'(x)v(x)-u(x)v'(x)}{[v(x)]^{2}}
  4. Behaviour of the function g(s)=slnsg(s)=s\ln s
    • For s>e1s>e^{-1}, we have g(s)=lns+1>0g'(s)=\ln s + 1>0, so g(s)g(s) is strictly increasing.

Chain of Thought to Solve

  1. Identify parts:
    u(x)=ln(π+x),  v(x)=ln(e+x)u(x)=\ln(\pi+x),\; v(x)=\ln(e+x)

  2. Compute derivatives:
    u(x)=1π+x,v(x)=1e+xu'(x)=\frac{1}{\pi+x},\quad v'(x)=\frac{1}{e+x}

  3. Apply quotient rule:

    f'(x) &= \frac{u'(x)v(x)-u(x)v'(x)}{[v(x)]^{2}} \\ &= \frac{\dfrac{1}{\pi+x}\,\ln(e+x)-\dfrac{1}{e+x}\,\ln(\pi+x)}{[\ln(e+x)]^{2}} \end{aligned}$$ Only the numerator matters for the sign.
  4. Clear denominators for sign study:

    Sign of f(x)=Sign of [(e+x)ln(e+x)(π+x)ln(π+x)]\text{Sign of }f'(x)=\text{Sign of }\Big[(e+x)\ln(e+x)-(\pi+x)\ln(\pi+x)\Big]

    Define

    h(x)=(e+x)ln(e+x)(π+x)ln(π+x)h(x)=(e+x)\ln(e+x)-(\pi+x)\ln(\pi+x)

  5. Compare the two terms using monotonicity of g(s)=slnsg(s)=s\ln s:

    • g(s)g(s) is increasing for s>e1s>e^{-1}.

    • For every x>0x>0, we have e+x<π+xe+x < \pi+x because π>e\pi>e.

    • Since gg is increasing,

      g(e+x)<g(π+x)    h(x)<0.g(e+x)<g(\pi+x)\;\Longrightarrow\;h(x)<0.

  6. Conclusion: h(x)h(x) is always negative f(x)<0\Rightarrow f'(x)<0 for every x>0x>0. Therefore f(x)f(x) is strictly decreasing on (0,)(0,\infty).

Hence the correct option is (b).

Simple Explanation (ELI5)

What is the question?

We have a rule that turns any number xx (bigger than 00) into another number:

f(x)=log of (π+x)log of (e+x)f(x)=\frac{\text{log of }(\pi + x)}{\text{log of }(e + x)}

You must tell whether the rule makes bigger outputs when you give it bigger inputs ("increasing") or smaller outputs ("decreasing").

Kid-friendly picture

Imagine two buckets:

  • Bucket A always has π\pi marbles more than xx marbles.
  • Bucket B always has ee marbles more than xx marbles.

We look at the log of each bucket (think of log as a special magnifying glass that grows slowly).

Then we make a fraction:
"zoomed size of Bucket A" ÷ "zoomed size of Bucket B".

The game: as you pour more marbles (increase xx), does the fraction climb up or slide down?

Because Bucket A always starts with more marbles than Bucket B (π>e\pi>e) and the magnifying glass behaves in a certain way, the fraction actually slides down all the time.
So the rule is decreasing.
(Option b)

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Step-by-Step Solution

Step-by-Step Solution

  1. Define

    f(x)=ln(π+x)ln(e+x),x(0,)f(x)=\frac{\ln(\pi+x)}{\ln(e+x)}, \qquad x\in(0,\infty)

  2. Differentiate using the quotient rule

    f(x)=(1π+x)ln(e+x)(1e+x)ln(π+x)[ln(e+x)]2f'(x)=\frac{\big(\dfrac{1}{\pi+x}\big)\ln(e+x)-\big(\dfrac{1}{e+x}\big)\ln(\pi+x)}{[\ln(e+x)]^{2}}

  3. Focus on the numerator (denominator is positive):

    N(x)=ln(e+x)π+xln(π+x)e+xN(x)=\frac{\ln(e+x)}{\pi+x}-\frac{\ln(\pi+x)}{e+x}

  4. Multiply by (π+x)(e+x)(\pi+x)(e+x) to avoid fractions:

    h(x)=(e+x)ln(e+x)(π+x)ln(π+x)h(x)=(e+x)\ln(e+x)-(\pi+x)\ln(\pi+x)

  5. Use monotonicity of g(s)=slnsg(s)=s\ln s

    • For s>e1s>e^{-1}, g(s)=lns+1>0    g(s)g'(s)=\ln s + 1>0 \;\Rightarrow\; g(s) increases.

    • Because e+x<π+xe+x < \pi+x (since π>e\pi>e) for every x>0x>0, we get

      g(e+x)<g(π+x)    h(x)<0.g(e+x)<g(\pi+x) \;\Rightarrow\; h(x)<0.

  6. Sign of derivative:

    f(x)=h(x)[ln(e+x)]2<0  x>0.f'(x)=\frac{h(x)}{[\ln(e+x)]^{2}}<0 \quad \forall\;x>0.

  7. Conclusion: f(x)f(x) is strictly decreasing on (0,)(0,\infty).

Correct option: (b).

Examples

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Entropy change formula S = k_B n ln n in statistical mechanics.

Example 2

Population growth ratios where both cities grow exponentially at same rate but start with different sizes.

Example 3

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Visual Representation

References

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