5.1 Introduction
Calculus is the study of change and motion, and derivatives are at its core. To study derivatives, we first need the concepts of continuity and differentiability.
- Continuity tells us whether a function is smooth or has jumps/discontinuities.
- Differentiability tells us whether the function has a well-defined slope at a point.
This chapter forms the foundation for differentiation in various forms used in calculus.
5.2 Continuity
A function f(x) is said to be continuous at a point x = a if the following conditions are satisfied:
- f(a) is defined
- Limit of f(x) as x → a exists
- Limit equals the function value:
x→alimf(x)=f(a)
🔹 Types of Discontinuity
- Removable Discontinuity: Can be removed by redefining f(a).
- Jump Discontinuity: The left and right limits exist but are unequal.
- Infinite Discontinuity: Function approaches infinity near the point.
A function continuous at every point of its domain is called a continuous function.
5.3 Differentiability
A function f(x) is differentiable at x = a if its derivative exists at that point:f′(a)=h→0limhf(a+h)−f(a)
- Differentiability implies continuity, but the reverse is not always true.
- A function can be continuous but not differentiable (example: |x| at x = 0).
5.4 Exponential and Logarithmic Functions
🔹 Exponential Function
- f(x) = e^x
- Derivative: dxdex=ex
🔹 Logarithmic Function
- f(x) = ln x
- Derivative: dxdlnx=x1
These functions are widely used in growth, decay, and calculus problems.
5.5 Logarithmic Differentiation
Used when functions are products, quotients, or powers. Steps:
- Take natural logarithm of both sides: lny=lnf(x)
- Differentiate implicitly using the chain rule
- Solve for dxdy
Simplifies differentiation of complicated expressions like y=xx or y=(sinx)tanx.
5.6 Derivatives of Functions in Parametric Forms
Sometimes, x and y are expressed as functions of a parameter t:x=ϕ(t),y=ψ(t)
- Derivative of y w.r.t x:
dxdy=dx/dtdy/dt=ϕ′(t)ψ′(t)
- Second derivative:
dx2d2y=dxd(dxdy)=dx/dtdtd(dxdy)
5.7 Second Order Derivative
The second derivative measures the rate of change of the first derivative.f′′(x)=dx2d2y=dxd(f′(x))
- Indicates concavity of the function:
- f′′(x)>0: Concave upward
- f′′(x)<0: Concave downward
- Helps in finding maxima and minima of functions.
✅ Key Points to Remember
- Continuity is necessary for differentiability.
- Differentiability implies smoothness; non-differentiable points may have corners or cusps.
- Exponential and logarithmic functions have unique derivative rules.
- Parametric derivatives and second order derivatives are important in mechanics and motion problems.