Related Formula
For x ≥ 1, ln x ≥ 0 and x-1 ≥ 0$$\text{For } x \geq 1, \quad \ln x \geq 0 \text{ and } x-1 \geq 0$$
For 0 < x < 1, ln x < 0 and x-1 < 0$$\text{For } 0 < x < 1, \quad \ln x < 0 \text{ and } x-1 < 0$$
Core Logic
Break the function into piecewise intervals based on the critical point x=1$x=1$.
f(x) = cases ln x - (x - 1) & x ≥ 1 -ln x - (-(x - 1)) & 0 < x < 1 cases$$f(x) = \begin{cases} \ln x - (x - 1) & x \geq 1 \\ -\ln x - (-(x - 1)) & 0 < x < 1 \end{cases}$$
f(x) = cases ln x - x + 1 & x ≥ 1 -ln x + x - 1 & 0 < x < 1 cases$$f(x) = \begin{cases} \ln x - x + 1 & x \geq 1 \\ -\ln x + x - 1 & 0 < x < 1 \end{cases}$$
Step 1: Checking Differentiability (Statement I)
Find the derivative f'(x)$f'(x)$:
f'(x) = cases (1)/(x) - 1 & x > 1 -(1)/(x) + 1 & 0 < x < 1 cases$$f'(x) = \begin{cases} \frac{1}{x} - 1 & x > 1 \\ -\frac{1}{x} + 1 & 0 < x < 1 \end{cases}$$
Check left-hand derivative (LHD) and right-hand derivative (RHD) at x = 1$x = 1$:
RHD = f'(1^+) = (1)/(1) - 1 = 0$$\text{RHD} = f'(1^+) = \frac{1}{1} - 1 = 0$$
LHD = f'(1^-) = -(1)/(1) + 1 = 0$$\text{LHD} = f'(1^-) = -\frac{1}{1} + 1 = 0$$
Since LHD = RHD$\text{LHD} = \text{RHD}$, f(x)$f(x)$ is differentiable at x=1$x=1$ (and clearly everywhere else in its domain). Thus, Statement (I) is TRUE.
Step 2: Checking Monotonicity (Statements II and III)
Check for x > 1$x > 1$:
f'(x) = (1)/(x) - 1 < 0 for all x > 1$f'(x) = \frac{1}{x} - 1 < 0 \text{ for all } x > 1$. Therefore, f$f$ is decreasing in (1, ∞)$(1, \infty)$. Statement (III) is TRUE.
Check for 0 < x < 1$0 < x < 1$:
f'(x) = 1 - (1)/(x) = (x-1)/(x) < 0 for all 0 < x < 1$f'(x) = 1 - \frac{1}{x} = \frac{x-1}{x} < 0 \text{ for all } 0 < x < 1$. Therefore, f$f$ is also decreasing in (0, 1)$(0, 1)$. Statement (II) is FALSE.
Since f$f$ is decreasing in both intervals, it is monotonically decreasing across (0, ∞)$(0, \infty)$.
Step 3: Final Conclusion
Only Statement (I) and Statement (III) are true.
Pattern Recognition
Adding or subtracting two modulus functions that change sign at the exact same critical point often smooths out the sharp corner, leading to a perfectly differentiable curve at that node. Always compute LHD and RHD to confirm.
Chapter Mix
Class 12 Maths: Application of Derivatives
Class 12 Maths: Limits, Continuity and Differentiability