📌 1. Introduction
Continuity and differentiability describe how functions behave.
- Continuity ensures no breaks or jumps
- Differentiability tells us how a function changes (rate of change)
These concepts are widely used in physics, engineering, economics, and data science.
📖 2. Continuity of a Function
A function f(x) is said to be continuous at a point x=ax = ax=a if:
- f(a) is defined
- limx→af(x) exists
- limx→af(x)=f(a)
🧠 Key Idea:
A function is continuous if you can draw its graph without lifting your pen.
📊 Types of Discontinuity
1. Removable Discontinuity
Hole in graph (limit exists but value differs)
2. Jump Discontinuity
Left and right limits are different
3. Infinite Discontinuity
Function goes to infinity
📌 Continuity in an Interval
- Continuous in (a,b) → continuous at every point
- Continuous in [a,b] → continuous inside + endpoints
📘 3. Algebra of Continuous Functions
If f and g are continuous, then:
- f+g is continuous
- f−g is continuous
- fg is continuous
- gf is continuous (if g(x)=0)
📐 4. Standard Continuous Functions
These are always continuous in their domains:
- Polynomial functions
- Rational functions
- Trigonometric functions
- Exponential functions
- Logarithmic functions
📌 5. Differentiability
A function is differentiable at x=ax = ax=a if:h→0limhf(a+h)−f(a)
exists.
limh→0hf(a+h)−f(a)
This limit is called the derivative of the function at that point.
📊 Relation Between Continuity and Differentiability
- Differentiability ⇒ Continuity
- Continuity ≠ Differentiability
👉 Example: f(x)=∣x∣ is continuous but not differentiable at x=0
📈 6. Derivative of a Function
The derivative represents rate of change or slope of tangent.f′(x)=dxdy
f′(x)=dxdy
📌 Geometrical Meaning
- Derivative = slope of tangent line
- Positive derivative → increasing function
- Negative derivative → decreasing function
📚 7. Derivatives of Standard Functions
1. Power Function
dxd(xn)=nxn−1
2. Constant
dxd(c)=0
3. Trigonometric Functions
- dxd(sinx)=cosx
- dxd(cosx)=−sinx
- dxd(tanx)=sec2x
4. Exponential
dxd(ex)=ex
5. Logarithmic
dxd(logx)=x1
🔗 8. Rules of Differentiation
➕ 1. Sum Rule
dxd(u+v)=u′+v′
✖️ 2. Product Rule
dxd(uv)=u′v+uv′
➗ 3. Quotient Rule
dxd(vu)=v2vu′−uv′
🔄 4. Chain Rule
If y=f(g(x)):dxdy=dudy⋅dxdu
dxdy=dudy⋅dxdu
🔁 9. Higher Order Derivatives
Second derivative:dx2d2y
- Used to check concavity
- Helps in maxima & minima
📌 10. Differentiability of Special Functions
1. Modulus Function
f(x)=∣x∣
- Not differentiable at x=0
2. Greatest Integer Function
Not continuous at integers → not differentiable
📊 11. Increasing and Decreasing Functions
- If f′(x)>0 → increasing
- If f′(x)<0 → decreasing
📉 12. Tangents and Normals
Equation of Tangent:
y−y1=m(x−x1)
Where m=dxdy
Equation of Normal:
Slope = −m1
🧩 13. Applications of Derivatives
- Finding slope
- Rate of change
- Motion problems
- Optimization
- Economics (profit, cost)
📌 14. Important Theorems
Rolle’s Theorem
If:
- Function continuous in [a,b]
- Differentiable in (a,b)
- f(a)=f(b)
Then ∃ c such that:f′(c)=0
Lagrange’s Mean Value Theorem
f′(c)=b−af(b)−f(a)
f′(c)=b−af(b)−f(a)
❗ Common Mistakes
- Ignoring domain
- Wrong application of chain rule
- Confusing continuity with differentiability
- Sign errors in derivatives
🧠 Exam Tips
- Learn standard derivatives
- Practice chain rule well
- Solve NCERT examples
- Focus on graphs
📚 Practice Questions
- Check continuity at a point
- Find derivative using definition
- Apply product/chain rule
- Find tangent equation
🎯 Conclusion
Continuity and Differentiability are fundamental concepts in calculus. They help us understand how functions behave and change. Mastering this chapter is essential for exams like JEE, CUET, NDA, and higher studies.