Successive Differentiation — Repeated Slopes
Differentiate a function, then differentiate the result, then differentiate that, and so on. Each pass produces a new function describing a deeper layer of change. The physics picture makes it concrete: position → velocity (1st derivative) → acceleration (2nd) → jerk (3rd). Every step asks the same question: "how does the previous rate of change itself change?"
The definition and notation
If y=f(x), its successive derivatives are written y1,y2,…,yn, equivalently f′(x),f′′(x),…,f(n)(x) or dxdy,dx2d2y,…,dxndny. Each one is the derivative of the previous:
dxndny=dxd(dxn−1dn−1y).
| Order | Leibniz | Lagrange | Newton |
|---|
| 1st | dxdy | f′(x) | y˙ |
| 2nd | dx2d2y | f′′(x) | y¨ |
| nth | dxndny | f(n)(x) | — |
Seeing the pattern
Take y=x4: y1=4x3,y2=12x2,y3=24x,y4=24,y5=0. Each differentiation drops the degree by one, so a degree-n polynomial has a constant nth derivative and vanishing higher ones. Other families behave differently: eax never dies out (dxndneax=aneax), and sinx cycles every four steps (sin→cos→−sin→−cos).
Power rule applied n times: dxndn(xm)=m(m−1)⋯(m−n+1)xm−n for n≤m.
dx2d2y is not (dxdy)2 — a second derivative is not the square of the first derivative.
Why it matters
Higher derivatives power the second-derivative test for maxima and minima, Taylor and Maclaurin expansions, Leibniz's theorem for the nth derivative of a product, and differential equations such as F=ma (a second derivative of position).
Successive (higher-order) differentiation is its own named section in the NCERT Class 12 Continuity and Differentiability chapter, and finding a general nth-derivative pattern for polynomials, exponentials or sine is a recurring CBSE board and JEE Main question type. Students searching 'successive differentiation class 12 examples' or 'nth derivative formula' will recognize this repeated-differentiation notation (y₁, y₂, ..., yₙ) as the standard exam convention.