Application of Derivatives


  • Let y = f(x), Δx be a small increment in x and Δy be the increment in y corresponding to the increment in x, i.e., Δy = f(x + Δx) − f(x). Then dy given by
    dy=f'(x)dx\ or\ dy=\left(\frac{dy}{dx}\right)\Delta x.
    is a good approximation of Δy when dx= Δx is relatively small and we denote it by dy ≈ Δy.
  • \frac{\Delta y}{y} is called Relative error in y
        \frac{\Delta y}{y}\times 100is called percentage error in y.

View the Topic in this video From 35:00 To 51:56

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  • If y = f(x) be a function. Δx is small change in x, then the corresponding change in y is Δy, which is known as Approximate error in y.
                                       Δy = f'(x) Δx = dy
  • If f(x) = ax2 + bx + c then Δf − df = a(Δx)2
  • If y = f(x) is any function, then f(x + Δx) = f(x) + f'(x)Δx
  • If y = f(x) is a homogeneous function of degree n (or) y = xn then
    → Relative error in y = n (relative error in x)
    → % error in y = n (% error in x)