Advanced 2016 multi-function cascade produced g′(2)=31 and h′(1)=666.
Derivative of Inverse Trigonometric Functions (ITF)
dxd(sin−1x)=1−x21
dxd(cos−1x)=−1−x21
dxd(tan−1x)=1+x21
dxd(cot−1x)=−1+x21
dxd(sec−1x)=∣x∣x2−11
dxd(csc−1x)=−∣x∣x2−11
Worked set: (a) y=tan−1!(1+cos2x1−cos2x) requires quadrant splitting; derivative fails at x=0. (b) y=tan−1!(sinxcosx)=−cot−1(tanx) gives y′=−21csc22x etc. (c) & (d) standard transformations to sin−1(2x1−x2) etc. lead to compact y′=1−x22 or y′=−1−x23 in given domains.
Infinite Radical / Series Forms
If y=sinx+sinx+…, then y2−y−sinx=0 → y′=2y−1cosx.
Classical y=x+y+x+… eventually yields y2−y−2y−x=0 then derivative by implicit manipulation (full algebra included in transcript).
Nested power y = (\sqrt[\sqrt[\sqrt{\;}]{}]{x})^{(\sqrt[\;]{x})^{\cdots}} boiled down via ln to y2=xy2 giving y′=x[2−2y2lnx]y3.
Higher-Order Derivatives & Special Identities
Given y=emx(ax+b) one proves dx2d2y−2mdxdy+m2y=0.
IIT JEE 1998 identity: For cubic P(x) if y2=P(x) then P′′(x)P(x)=(P′(x))2 (demonstrated via differentiating 3 times).
JEE 2024 (27 Jan, S 1): Crafted polynomial with hidden constants leading to f′(10)=202.
Newton–Leibnitz Rule (Differentiation under the Integral Sign)
For F(x)=∫g(x)h(x)f(t)dt: F′(x)=f(h(x))h′(x)−f(g(x))g′(x).
Examples
dxd∫0sinxt3dt=sin3xcosx−2x2.
dxd∫x22x!sintdt=2xsin(x2)−2sin(2x).
dxd∫2x3lntdt=3x2ln(x3).
Advanced 2014 problem with matching derivatives gave F(2)=e4−1.
Miscellaneous Exam Highlights
Differentiation at points with absolute values: for y=x∣x∣, slope y′=2∣x∣ (non-existent at x=0).
Algebraic-log mix (JEE Apr 2023): For 2x+3y=20, implicit derivative dxdy=−3yln32xln2 value at (2,2) computed as −3+2ln22+3ln2.
Factorial-like product function f(x)=∏n=150(x−n)n(51−n) gave f(51)f′(51)=250×51=1275 so 5f(51)f′(51)=255.
Question “If x+y=3ex find where dxd(xy)=0” ⇒ root at x=e2 via logarithmic differentiation.
Quick Ethical / Exam Tips
Always confirm domain when inverse or radical functions appear.
At non-smooth points (|x|, piecewise), check left & right derivative.
For inverse functions, computing derivative at x=a usually needs first solving f(b)=a, then g′(a)=1/f′(b).
In nested radicals/series, square once to build an algebraic relation; avoid infinite writing.
Newton–Leibnitz trick: think upper limit – lower limit, then multiply by their inside derivatives.
Ultra-Condensed Formula Sheet (one-glance)
Standard powers/exp/log/trig derivatives (see first table).
Rules: product, quotient, chain.
Parametric: y′=x′y′ ; second order shown above.
Implicit: differentiate, group y′ terms.
Inverse function: g′(a)=f′(g(a))1.
Log differentiation: lny=lnu⇒y′=yu′/u.
Newton-Leibnitz: [∫ghf]′=f(h)h′−f(g)g′.
ITF derivatives list (6 items).
Happy practicing — master each “format”, then bombard past papers!