We use the differentiation to find the maximum or minimum values of a function, the velocity and acceleration of moving objects and the tangent of the curve.
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Differentiation
Differentiation is a mathematical process that measures how a function changes as its input changes. In simpler terms, it calculates the rate of change of function.
The derivative can be visualized as the slope of the tangent line to the functions graphs at the point.
Differentiation is used to calculate rates of change in various field, such as physics (velocity, acceleration…..)
1.0Derivative By First Principle
Let y = f(x) :
y + Δy = f(x + Δx)
∴ΔxΔy=Δxf(x+Δx)−f(x)(average rate of change of function)
(i) denotes the instantaneous rate of change of function and gives slope of tangent at any point on curve y = f(x). Finding the value of the limit given by (i) in respect to a variety of functions is called finding the derivative by first principle/by delta method/by ab-initio method/by fundamental definition of calculus.
Note than if y = f(x) then the symbols dxdy=Dy=f′(x)=y1 or y’ have the same meaning.
Derivative of standard functions:
f(x)
f’(x)
xn
nxn-1
ex
ex
ax
ax lna, a > 0
lnx
1/x
logax
(1/x) logae, a > 0, a ≠ 1
sinx
cosx
cosx
– sinx
tanx
sec2x
secx
secx tanx
cosecx
–cosec2x
constant
0
sin-1 x
1−x21,−1<x<1
cos-1 x
1−x2−1,−1<x<1
tan-1 x
1+x21,x∈R
sec-1 x
∣x∣x2−11,∣x∣>1
cosec-1 x
∣x∣x2−1−1,∣x∣>1
cot-1 x
1+x2−1,x∈R
2.0Fundamental Theorems
If f and g are derivable functions of x, then,
(a) dxd(f±g)=dxdf±dxdg
(b)dxd(cf)=cdxdf, where c is any constant
(c)dxd(fg)=fdxdg+gdxdf known as “PRODUCT RULE”
(d) dxd(gf)=g2g(dxdf)−f(dxdg) where g ≠ 0 known as “QUOTIENT RULE”
(e)If y = f(u) & u = g (x) then dxdy=dudy⋅dxdu known as “CHAIN RULE”
Note : in general if y = f(u) then dxdy=f′(u)⋅dxdu
Logarithmic differentiation:
To find the derivative of a function:
(a) which is the product of quotient of a number of functions or
(b) of the form [f(x)]g(x) where f and g are both derivable functions.
It is convenient to take the logarithm of the function first and then differentiate.
Parametric differentiation:
If y = f(θ) and x = g(θ) where θ is a parameter, then dxdy=dx/dθdy/dθ=g′(θ)f′(θ)
Derivative of a function w.r.t. another function
Let y = f(x) ; z = g(x) then dzdy=dz/dxdy/dx=g′(x)f′(x)
Differentiation of implicit functions: φ(x, y) = 0
To find dxdy of implicit functions, we differentiate each term w.r.t. regarding y as a function of x and then collect terms with dxdy together on one side.
Also dxdy=∂y∂ϕ−∂x∂ϕ, where ∂y∂ϕ = partial derivative of φ(x, y) w.r.t. x taking y as a constant and ∂y∂ϕ= partial derivative of φ(x, y) w.r.t. y taking x as a constant. (In the case of implicit functions, generally, both x and y present in answers of dy/dx)
3.0Derivative Of Inverse Function
Theorem: If the inverse functions f and g are defined by y = f(x) and x = g(y) and if f'(x) exists and f’(x) ≠ 0, then g’(y)=f′(x)1. This result can also be written as, if dxdy exist and dxdy=0, then dydx=dxdy1 or dxdy⋅dydx=1 or dxdy=dydx1[dydx=0]
Let a function y = f(x) be defined on an interval (a, b). If f(x) is differentiable function, then its derivative f’(x) [or (dy/dx) or y’] is called the first derivative of y w.r.t. x if f’(x) is again differentiable function on (a, b), then its derivative f”(x) [or d2y/dx2 or y”] is called second derivative of y w.r.t. x similarly, the 3rd order derivative of y w.r.t. x, if exists, is defined by dx3d3y=dxd(dx2d2y) and denoted by f”’ (x) or y”’ and so on.
Note: If x = f (θ) and y = g(θ) where ‘θ’ is a parameter then dxdy=dx/dθdy/dθ&dx2d2y=dθd(dxdy)/dθdx,In general dxndny=dθd(dxn−1dn−1y)/dθdx
L. Hopital’s Rule
(a)This rule is applicable for the indeterminate forms of the type 00,∞∞. If the function f(x) and g(x) are differentiable in certain neighbourhood of the point ‘a’, except, may be, at the point ‘a’ itself and g'(x) ≠ 0, and if
limx→af(x)=limx→ag(x)=0
or limx→af(x)=limx→ag(x)=∞,
then limx→ag(x)f(x)=limx→ag′(x)f′(x)
provided the limit limx→ag′(x)f′(x) exists (L’ Hopital’s rule). The point ‘a’ may be either finite or improper (+∞ or −∞)
(b) Indeterminate forms of the type 0. ∞ or ∞ – ∞ are reduced to forms of the type 00 or ∞∞ by algebraic transformations.
(c) Indeterminate forms of the type 1∞, ∞0 or 00 are reduced to forms of the type 0 × ∞ by taking logarithms or by the transformation [f(x)]ϕ(x)=eϕ(x)⋅lnf(x)
4.0Solved Examples on Differentiation
Ex.1Differentiate each of following functions by first principle: