Calculus Mindmap - Comprehensive Visual Guide

Calculus Mindmap - Comprehensive Visual Guide

πŸ“‹ Introduction

This calculus mindmap provides a visual overview of all major calculus concepts, techniques, and applications essential for JEE Advanced preparation. It covers limits, differentiation, integration, and their applications systematically.


🎯 Calculus Framework

Main Branches:

Calculus
β”œβ”€β”€ Limits and Continuity
β”œβ”€β”€ Differentiation
β”œβ”€β”€ Applications of Derivatives
β”œβ”€β”€ Integration
β”œβ”€β”€ Applications of Integrals
└── Differential Equations

πŸ“Š Limits and Continuity

Limits Overview:

Limits and Continuity
β”œβ”€β”€ Basic Concepts of Limits
β”‚   β”œβ”€β”€ Definition of Limit
β”‚   β”œβ”€β”€ Left-hand and Right-hand Limits
β”‚   β”œβ”€β”€ Existence of Limits
β”‚   └── Limit Notation
β”œβ”€β”€ Limit Theorems and Properties
β”‚   β”œβ”€β”€ Algebra of Limits
β”‚   β”œβ”€β”€ Sandwich Theorem
β”‚   β”œβ”€β”€ Limit of Composite Functions
β”‚   └── Standard Limits
β”œβ”€β”€ Evaluation of Limits
β”‚   β”œβ”€β”€ Direct Substitution
β”‚   β”œβ”€β”€ Factorization Method
β”‚   β”œβ”€β”€ Rationalization
β”‚   β”œβ”€β”€ Standard Form Limits
β”‚   β”œβ”€β”€ L'Hospital's Rule
β”‚   └── Series Expansion
β”œβ”€β”€ Limits at Infinity
β”‚   β”œβ”€β”€ Horizontal Asymptotes
β”‚   β”œβ”€β”€ Limits as x β†’ ∞
β”‚   β”œβ”€β”€ Limits as x β†’ -∞
β”‚   └── Infinite Limits
β”œβ”€β”€ Continuity
β”‚   β”œβ”€β”€ Definition of Continuity
β”‚   β”œβ”€β”€ Types of Discontinuities
β”‚   β”‚   β”œβ”€β”€ Removable Discontinuity
β”‚   β”‚   β”œβ”€β”€ Jump Discontinuity
β”‚   β”‚   └── Infinite Discontinuity
β”‚   β”œβ”€β”€ Continuity of Composite Functions
β”‚   └── Intermediate Value Theorem
└── Special Limits
    β”œβ”€β”€ Trigonometric Limits
    β”œβ”€β”€ Exponential and Logarithmic Limits
    β”œβ”€β”€ Limits Involving Absolute Value
    └── Limits of Piecewise Functions

Limits Key Formulas:

Essential Limits Formulas:
1. Standard Limits:
   - limβ‚“β†’a (xⁿ - aⁿ)/(x - a) = nΒ·a^(n-1)
   - limβ‚“β†’0 (sin x)/x = 1
   - limβ‚“β†’0 (tan x)/x = 1
   - limβ‚“β†’0 (1 - cos x)/x = 0
   - limβ‚“β†’0 (aΛ£ - 1)/x = ln a
   - limβ‚“β†’0 (eΛ£ - 1)/x = 1
   - limβ‚“β†’βˆž (1 + 1/x)Λ£ = e
   - limβ‚“β†’0 (1 + x)^(1/x) = e

2. L'Hospital's Rule:
   - For 0/0 or ∞/∞ forms
   - limβ‚“β†’a f(x)/g(x) = limβ‚“β†’a f'(x)/g'(x)
   - Can be applied repeatedly
   - Check conditions before applying

3. Continuity Conditions:
   - f(a) must exist
   - limβ‚“β†’a f(x) must exist
   - limβ‚“β†’a f(x) = f(a)
   - All three conditions for continuity

4. Special Cases:
   - limβ‚“β†’0 sin(ax)/x = a
   - limβ‚“β†’0 (tan⁻¹x)/x = 1
   - limβ‚“β†’0 (eΛ£ - 1 - x)/xΒ² = 1/2

πŸ“ˆ Differentiation

Differentiation Overview:

Differentiation
β”œβ”€β”€ Basic Concepts
β”‚   Definition of Derivative
β”‚   Geometric Interpretation
β”‚   Physical Interpretation
β”‚ └── Existence of Derivative
β”œβ”€β”€ Differentiation Rules
β”‚   Power Rule
β”‚   Product Rule
β”‚   Quotient Rule
β”‚   Chain Rule
β”‚ └── Implicit Differentiation
β”œβ”€β”€ Derivatives of Functions
β”‚   Algebraic Functions
β”‚   Trigonometric Functions
β”‚   Inverse Trigonometric Functions
β”‚   Exponential Functions
β”‚   Logarithmic Functions
β”‚   Hyperbolic Functions
β”‚   └── Inverse Hyperbolic Functions
β”œβ”€β”€ Advanced Differentiation
β”‚   Parametric Differentiation
β”‚   Logarithmic Differentiation
β”‚   Differentiation of Inverse Functions
β”‚   Higher Order Derivatives
β”‚   └── Successive Differentiation
β”œβ”€β”€ Special Differentiation Techniques
β”‚   Differentiation Under Integral Sign
β”‚   Leibniz Rule
β”‚   Faa di Bruno's Formula
β”‚   └── Differentiation of Determinants
└── Applications of Differentiation
    Rate of Change
    Tangents and Normals
    Monotonicity
    Extrema
    Concavity
    └── Curve Sketching

Differentiation Key Formulas:

Essential Differentiation Formulas:
1. Basic Rules:
   - Power Rule: d/dx(xⁿ) = nx^(n-1)
   - Product Rule: d/dx(uv) = u'v + uv'
   - Quotient Rule: d/dx(u/v) = (u'v - uv')/vΒ²
   - Chain Rule: d/dx[f(g(x))] = f'(g(x))Β·g'(x)

2. Trigonometric Functions:
   - d/dx(sin x) = cos x
   - d/dx(cos x) = -sin x
   - d/dx(tan x) = secΒ² x
   - d/dx(cot x) = -cosecΒ² x
   - d/dx(sec x) = sec xΒ·tan x
   - d/dx(cosec x) = -cosec xΒ·cot x

3. Inverse Trigonometric Functions:
   - d/dx(sin⁻¹x) = 1/√(1-x²)
   - d/dx(cos⁻¹x) = -1/√(1-x²)
   - d/dx(tan⁻¹x) = 1/(1+x²)
   - d/dx(cot⁻¹x) = -1/(1+x²)
   - d/dx(sec⁻¹x) = 1/(|x|√(x²-1))
   - d/dx(cosec⁻¹x) = -1/(|x|√(x²-1))

4. Exponential and Logarithmic:
   - d/dx(eΛ£) = eΛ£
   - d/dx(aΛ£) = aΛ£Β·ln a
   - d/dx(ln x) = 1/x
   - d/dx(logₐx) = 1/(xΒ·ln a)

5. Higher Order Derivatives:
   - dΒ²y/dxΒ² = d/dx(dy/dx)
   - dⁿy/dxⁿ = nth derivative
   - Leibniz formula for nth derivative of product

πŸ“Š Applications of Derivatives

Applications of Derivatives Overview:

Applications of Derivatives
β”œβ”€β”€ Rate of Change
β”‚   Average Rate of Change
β”‚   Instantaneous Rate of Change
β”‚   Related Rates
β”‚ └── Motion Problems
β”œβ”€β”€ Tangents and Normals
β”‚   Equation of Tangent
β”‚   Equation of Normal
β”‚   Angle Between Curves
β”‚ └── Length of Tangent/Normal
β”œβ”€β”€ Monotonicity
β”‚   Increasing Functions
β”‚   Decreasing Functions
β”‚   Critical Points
β”‚ └── First Derivative Test
β”œβ”€β”€ Extrema
β”‚   Local Maximum
β”‚   Local Minimum
β”‚   Absolute Maximum
β”‚   Absolute Minimum
β”‚ β”œβ”€β”€ First Derivative Test
β”‚ └── Second Derivative Test
β”œβ”€β”€ Concavity and Points of Inflection
β”‚   Concave Up
β”‚   Concave Down
β”‚   Points of Inflection
β”‚ └── Second Derivative Test
β”œβ”€β”€ Curve Sketching
β”‚   Domain and Range
β”‚   Intercepts
β”‚   Symmetry
β”‚   Asymptotes
β”‚ β”œβ”€β”€ Critical Points
β”‚ β”œβ”€β”€ Concavity
β”‚ └── Complete Analysis
β”œβ”€β”€ Optimization Problems
β”‚   Maximum-Minimum Problems
β”‚   Geometric Optimization
β”‚ β”œβ”€β”€ Business Applications
β”‚ └── Engineering Applications
β”œβ”€β”€ Mean Value Theorems
β”‚   Rolle's Theorem
β”‚   Mean Value Theorem
β”‚ β”œβ”€β”€ Cauchy's Mean Value Theorem
β”‚ └── Generalized Mean Value Theorem
└── Approximation
    Linear Approximation
    Differentials
    Newton-Raphson Method
    └── Error Estimation

Key Applications Techniques:

Essential Applications Techniques:
1. Tangent and Normal Equations:
   - Tangent: y - y₁ = f'(x₁)(x - x₁)
   - Normal: y - y₁ = -1/f'(x₁)(x - x₁)
   - Slope of tangent: m = f'(x₁)
   - Slope of normal: m = -1/f'(x₁)

2. First Derivative Test:
   - f'(x) > 0: Function increasing
   - f'(x) < 0: Function decreasing
   - f'(x) = 0: Critical point
   - Sign change indicates extremum

3. Second Derivative Test:
   - f''(x) > 0: Local minimum
   - f''(x) < 0: Local maximum
   - f''(x) = 0: Test inconclusive
   - Check third derivative if needed

4. Mean Value Theorem:
   - Conditions: f continuous on [a,b], differentiable on (a,b)
   - Conclusion: βˆƒc ∈ (a,b) such that f'(c) = [f(b)-f(a)]/(b-a)
   - Geometric interpretation: Parallel tangent

5. Optimization Steps:
   - Define objective function
   - Identify constraints
   - Find critical points
   - Test endpoints
   - Determine maximum/minimum

∫ Integration

Integration Overview:

Integration
β”œβ”€β”€ Basic Concepts
β”‚   Definition of Integral
β”‚   Indefinite Integral
β”‚   Definite Integral
β”‚ └── Fundamental Theorem of Calculus
β”œβ”€β”€ Integration Techniques
β”‚   Basic Integration Formulas
β”‚   Substitution Method
β”‚   Integration by Parts
β”‚   Partial Fractions
β”‚ β”œβ”€β”€ Integration of Trigonometric Functions
β”‚ β”œβ”€β”€ Integration of Rational Functions
β”‚ └── Special Integrals
β”œβ”€β”€ Advanced Integration
β”‚   Integration by Substitution
β”‚   Integration by Parts
β”‚ β”œβ”€β”€ Integration of Rational Functions
β”‚ β”œβ”€β”€ Trigonometric Integrals
β”‚ β”œβ”€β”€ Integration of Irrational Functions
β”‚ └── Special Substitutions
β”œβ”€β”€ Definite Integration
β”‚   Properties of Definite Integrals
β”‚ β”œβ”€β”€ Evaluation Techniques
β”‚ β”œβ”€β”€ Reduction Formulas
β”‚ β”œβ”€β”€ Improper Integrals
β”‚ └── Gamma and Beta Functions
β”œβ”€β”€ Special Integrals
β”‚   Standard Forms
β”‚ β”œβ”€β”€ Reduction Formulas
β”‚ β”œβ”€β”€ Integrals of Special Functions
β”‚ └── Definite Integrals with Special Limits
└── Applications of Integration
    Area Under Curves
    Area Between Curves
    Volume of Revolution
    Arc Length
    Surface Area
    └── Physical Applications

Integration Key Formulas:

Essential Integration Formulas:
1. Basic Integrals:
   - ∫xⁿ dx = x^(n+1)/(n+1) + C (n β‰  -1)
   - ∫1/x dx = ln|x| + C
   - ∫eˣ dx = eˣ + C
   - ∫aˣ dx = aˣ/ln a + C
   - ∫sin x dx = -cos x + C
   - ∫cos x dx = sin x + C
   - ∫sec² x dx = tan x + C
   - ∫cosec² x dx = -cot x + C

2. Integration by Parts:
   - ∫u·dv = u·v - ∫v·du
   - LIATE rule for choosing u
   - Tabular integration method
   - Applications to various problems

3. Substitution Method:
   - u = g(x) substitution
   - Trigonometric substitution
   - Weierstrass substitution
   - Special cases and patterns

4. Partial Fractions:
   - Proper fractions decomposition
   - Repeated linear factors
   - Irreducible quadratic factors
   - Integration of each term

5. Definite Integration:
   - βˆ«β‚α΅‡ f(x) dx = F(b) - F(a)
   - Properties of definite integrals
   - Even and odd functions
   - Periodic functions

πŸ“Š Applications of Integrals

Applications of Integrals Overview:

Applications of Integrals
β”œβ”€β”€ Area Calculations
β”‚   Area Under Curve
β”‚   Area Between Curves
β”‚ β”œβ”€β”€ Area with Parametric Equations
β”‚ β”œβ”€β”€ Area with Polar Equations
β”‚ └── Area of Bounded Regions
β”œβ”€β”€ Volume Calculations
β”‚   Volume by Disk Method
β”‚   Volume by Washer Method
β”‚   Volume by Shell Method
β”‚ β”œβ”€β”€ Volume of Revolution
β”‚ └── Volume with Cross-Sections
β”œβ”€β”€ Arc Length
β”‚   Arc Length Formula
β”‚ β”œβ”€β”€ Arc Length in Parametric Form
β”‚ β”œβ”€β”€ Arc Length in Polar Form
β”‚ └── Surface Area of Revolution
β”œβ”€β”€ Surface Area
β”‚   Surface Area of Revolution
β”‚ β”œβ”€β”€ Surface Area Formula
β”‚ └── Applications
β”œβ”€β”€ Physical Applications
β”‚   Center of Mass
β”‚   Moments of Inertia
β”‚ β”œβ”€β”€ Work Done
β”‚ β”œβ”€β”€ Fluid Pressure
β”‚ └── Hydrostatic Force
β”œβ”€β”€ Economic Applications
β”‚   Consumer Surplus
β”‚ β”œβ”€β”€ Producer Surplus
β”‚ β”œβ”€β”€ Present Value
β”‚ └── Continuous Income Streams
└── Engineering Applications
    Center of Gravity
    Moment of Inertia
    Centroid
    └── Statics Applications

Key Applications Formulas:

Essential Applications Formulas:
1. Area Calculations:
   - Area under curve: A = βˆ«β‚α΅‡ f(x) dx
   - Area between curves: A = βˆ«β‚α΅‡ [f(x) - g(x)] dx
   - Parametric area: A = ∫ y·dx
   - Polar area: A = (1/2)∫ r² dθ

2. Volume by Disk Method:
   - V = Ο€βˆ«β‚α΅‡ [f(x)]Β² dx
   - Rotation about x-axis
   - V = Ο€βˆ«β‚α΅‡ [f(y)]Β² dy
   - Rotation about y-axis

3. Volume by Shell Method:
   - V = 2Ο€βˆ«β‚α΅‡ xΒ·f(x) dx
   - Rotation about y-axis
   - V = 2Ο€βˆ«β‚α΅‡ yΒ·f(y) dy
   - Rotation about x-axis

4. Arc Length:
   - L = βˆ«β‚α΅‡ √[1 + (dy/dx)Β²] dx
   - Parametric: L = ∫ √[(dx/dt)² + (dy/dt)²] dt
   - Polar: L = ∫ √[r² + (dr/dθ)²] dθ

5. Surface Area:
   - S = 2Ο€βˆ«β‚α΅‡ f(x)√[1 + (f'(x))Β²] dx
   - Rotation about x-axis
   - S = 2Ο€βˆ«β‚α΅‡ x√[1 + (f'(x))Β²] dx
   - Rotation about y-axis

πŸ“Š Differential Equations

Differential Equations Overview:

Differential Equations
β”œβ”€β”€ Basic Concepts
β”‚   Order and Degree
β”‚   Linear and Non-linear
β”‚   Homogeneous and Non-homogeneous
β”‚ └── General and Particular Solutions
β”œβ”€β”€ First Order Differential Equations
β”‚   Variable Separable
β”‚   Homogeneous Equations
β”‚ β”œβ”€β”€ Linear Equations
β”‚ β”œβ”€β”€ Exact Equations
β”‚ β”œβ”€β”€ Bernoulli Equations
β”‚ └── Clauraut's Equation
β”œβ”€β”€ Second Order Differential Equations
β”‚   Homogeneous Linear Equations
β”‚ β”œβ”€β”€ Non-homogeneous Linear Equations
β”‚ β”œβ”€β”€ Constant Coefficient Equations
β”‚ β”œβ”€β”€ Variable Coefficient Equations
β”‚ └── Special Forms
β”œβ”€β”€ Solution Methods
β”‚   Integrating Factor Method
β”‚ β”œβ”€β”€ Method of Undetermined Coefficients
β”‚ β”œβ”€β”€ Variation of Parameters
β”‚ β”œβ”€β”€ Power Series Method
β”‚ β””-- Laplace Transform Method
β”œβ”€β”€ Applications
β”‚   Population Growth
β”‚ β”œβ”€β”€ Radioactive Decay
β”‚ β”œβ”€β”€ Newton's Law of Cooling
β”‚ β”œβ”€β”€ Simple Harmonic Motion
β”‚ β””-- Electrical Circuits
└── Special Differential Equations
    Bessel's Equation
    Legendre's Equation
    Hermite's Equation
    β””-- Laguerre's Equation

Differential Equations Key Methods:

Essential Solution Methods:
1. Variable Separable:
   - dy/dx = f(x)g(y)
   - ∫dy/g(y) = ∫f(x)dx
   - Solve and add constant

2. Linear First Order:
   - dy/dx + P(x)y = Q(x)
   - Integrating factor: I.F. = e^(∫Pdx)
   - Solution: y·I.F. = ∫Q·I.F.·dx + C

3. Homogeneous Equations:
   - dy/dx = f(y/x)
   - Substitute: y = vx
   - dy/dx = v + x(dv/dx)
   - Solve for v, then substitute back

4. Exact Equations:
   - Mdx + Ndy = 0
   - βˆ‚M/βˆ‚y = βˆ‚N/βˆ‚x (exactness condition)
   - Solution: ∫Mdx + ∫Ndy = C

5. Second Order Linear:
   - Homogeneous: ay'' + by' + cy = 0
   - Characteristic equation: arΒ² + br + c = 0
   - Solution depends on roots

🎯 Problem-Solving Strategies

Calculus Problem-Solving Framework:

Systematic Approach:
1. Understand the Problem
   - Identify the type (limit, derivative, integral)
   - Determine given information
   - Identify what needs to be found
   - Note any constraints

2. Choose Appropriate Method
   - For limits: direct substitution, L'Hospital, series
   - For derivatives: basic rules, chain rule, implicit
   - For integrals: substitution, parts, partial fractions
   - For applications: set up the integral properly

3. Execute the Solution
   - Apply formulas correctly
   - Show all steps clearly
   - Handle special cases
   - Simplify results

4. Verify the Answer
   - Check units and dimensions
   - Test special cases
   - Consider reasonableness
   - Cross-check with alternative methods

5. Interpret Results
   - Physical meaning of result
   - Limitations of solution
   - Range of validity
   - Applications

Common Problem Types:

Calculus Problem Categories:
1. Limit Problems:
   - Indeterminate forms (0/0, ∞/∞)
   - Limits at infinity
   - Trigonometric limits
   - Exponential limits

2. Derivative Problems:
   - Finding derivatives
   - Equation of tangent/normal
   - Rate of change problems
   - Optimization problems

3. Integral Problems:
   - Indefinite integration
   - Definite integration
   - Area calculations
   - Volume calculations

4. Application Problems:
   - Maximum-minimum
   - Related rates
   - Approximation
   - Physical applications

πŸ“ˆ Performance Tips

Exam Success Strategies:

  • Master basic formulas and their conditions
  • Practice pattern recognition for choosing methods
  • Understand geometric interpretations of calculus concepts
  • Focus on applications and real-world problems
  • Practice integration techniques extensively
  • Understand the connection between differentiation and integration

Use this comprehensive calculus mindmap to master all JEE Advanced calculus concepts! Systematic practice with these visual aids will significantly enhance your problem-solving abilities and understanding. 🎯



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