Limits, Continuity & Differentiability
The backbone of calculus — master limit evaluation techniques, continuity analysis, differentiation rules, and applications of derivatives for JEE Mains & Advanced.
Limit evaluation is the foundation of calculus. JEE tests algebraic manipulation, standard limits, L'Hôpital's rule, and squeeze theorem extensively.
- \(\displaystyle\lim_{x \to 0}\frac{\sin x}{x} = 1\), \(\displaystyle\lim_{x \to 0}\frac{\tan x}{x} = 1\), \(\displaystyle\lim_{x \to 0}\frac{1 - \cos x}{x^2} = \frac{1}{2}\)
- \(\displaystyle\lim_{x \to 0}\frac{e^x - 1}{x} = 1\), \(\displaystyle\lim_{x \to 0}\frac{a^x - 1}{x} = \ln a\)
- \(\displaystyle\lim_{x \to 0}\frac{\ln(1+x)}{x} = 1\), \(\displaystyle\lim_{x \to 0}\frac{(1+x)^n - 1}{x} = n\)
- \(\displaystyle\lim_{x \to 0}(1+x)^{1/x} = e\), \(\displaystyle\lim_{n \to \infty}\left(1+\frac{1}{n}\right)^n = e\)
Apply again: \(\frac{e^x}{2} \to \frac{1}{2}\).
JEE Shortcut: Using Taylor expansion, \(e^x = 1 + x + \frac{x^2}{2} + \cdots\), so numerator \(\approx \frac{x^2}{2}\). Answer = \(\frac{1}{2}\).
Using Taylor: \(\frac{\sin x}{x} = 1 - \frac{x^2}{6} + \cdots\), so \(\frac{\sin x}{x} - 1 \approx -\frac{x^2}{6}\).
Limit of exponent \(= \frac{1}{x^2} \cdot \left(-\frac{x^2}{6}\right) = -\frac{1}{6}\).
Answer: \(e^{-1/6}\).
Continuity connects limits to function values. JEE frequently tests piecewise functions and the Intermediate Value Theorem.
- Removable: \(\lim_{x \to a}f(x)\) exists but \(\neq f(a)\) (or \(f(a)\) undefined). Can be "fixed" by redefining \(f(a)\).
- Jump (first kind): Both one-sided limits exist but \(\lim_{x \to a^-}f(x) \neq \lim_{x \to a^+}f(x)\). Jump \(= |L^+ - L^-|\).
- Infinite/Essential (second kind): At least one one-sided limit is \(\pm\infty\) or does not exist.
Since the one-sided limits exist but are unequal, this is a jump discontinuity with jump \(= 2\).
JEE Application: To prove a polynomial equation has a root in \((a,b)\), show \(f(a)\) and \(f(b)\) have opposite signs.
Differentiability is a stronger condition than continuity. JEE Advanced regularly tests the subtle distinction between the two.
- Differentiable \(\Rightarrow\) Continuous (always true)
- Continuous \(\not\Rightarrow\) Differentiable (e.g., \(|x|\) at \(x=0\))
RHD \(= \lim_{h \to 0^+}\frac{h^2 - 0}{h} = 0\). LHD \(= \lim_{h \to 0^-}\frac{-h^2 - 0}{h} = 0\).
LHD = RHD = 0. So \(f\) is differentiable at \(x = 0\) with \(f'(0) = 0\).
Master the chain rule, product rule, implicit differentiation, parametric differentiation, and logarithmic differentiation for JEE speed.
- Chain Rule: \(\frac{d}{dx}f(g(x)) = f'(g(x)) \cdot g'(x)\)
- Product Rule: \((uv)' = u'v + uv'\)
- Quotient Rule: \(\left(\frac{u}{v}\right)' = \frac{u'v - uv'}{v^2}\)
- Implicit: Differentiate both sides w.r.t. \(x\), treating \(y\) as a function of \(x\). Collect \(\frac{dy}{dx}\) terms.
- Parametric: If \(x = f(t)\), \(y = g(t)\), then \(\frac{dy}{dx} = \frac{g'(t)}{f'(t)}\), and \(\frac{d^2y}{dx^2} = \frac{\frac{d}{dt}(dy/dx)}{f'(t)}\).
- Logarithmic: Take \(\ln\) of both sides when \(y = [f(x)]^{g(x)}\). Then \(\ln y = g(x)\ln f(x)\) and differentiate.
Differentiating: \(\frac{1}{y}\frac{dy}{dx} = \ln x + 1\).
\(\frac{dy}{dx} = x^x(\ln x + 1)\).
Tangent/normal, monotonicity, maxima/minima, Rolle's theorem, and MVT — the most application-heavy unit in JEE calculus.
- Tangent: \(y - y_0 = f'(x_0)(x - x_0)\)
- Normal: \(y - y_0 = -\frac{1}{f'(x_0)}(x - x_0)\) (provided \(f'(x_0) \neq 0\))
- Length of tangent: \(\frac{|y_0|}{|\sin\theta|}\), Length of normal: \(|y_0 \sec\theta|\) where \(\tan\theta = f'(x_0)\)
- \(f'(x) > 0\) on \((a,b)\) \(\Rightarrow f\) is strictly increasing on \((a,b)\)
- \(f'(x) < 0\) on \((a,b)\) \(\Rightarrow f\) is strictly decreasing on \((a,b)\)
- If \(f'\) changes sign from \(+\) to \(-\) at \(c\), then \(f(c)\) is a local maximum
- If \(f'\) changes sign from \(-\) to \(+\) at \(c\), then \(f(c)\) is a local minimum
- \(f''(c) < 0 \Rightarrow\) local maximum
- \(f''(c) > 0 \Rightarrow\) local minimum
- \(f''(c) = 0 \Rightarrow\) test is inconclusive (use first derivative test or higher order)
\(f(-2) = -8 + 6 = -2\), \(f(-1) = -1 + 3 = 2\), \(f(1) = 1 - 3 = -2\), \(f(2) = 8 - 6 = 2\).
Maximum value = 2 at \(x = -1\) and \(x = 2\).
\(\frac{f(3)-f(1)}{3-1} = \frac{9-1}{2} = 4\). We need \(f'(c) = 2c = 4\), so \(c = 2 \in (1,3)\). ✓
- For \(1^\infty\) forms, use \(e^{\lim(f-1) \cdot g}\) — never attempt direct substitution.
- Differentiability implies continuity, but not vice versa. Always check LHD = RHD at suspect points.
- Logarithmic differentiation handles \([f(x)]^{g(x)}\) forms that no other rule can directly tackle.
- For global extrema on \([a,b]\), evaluate \(f\) at all critical points AND endpoints — compare all values.
- LMVT is Rolle's theorem for unequal endpoints — geometrically, there exists a point where the tangent is parallel to the secant.