Topics
Relations and Functions
Relations and Functions
Inverse Trigonometric Functions
- Basics of Inverse Trigonometric Functions
- Domain, Range & Principal Value
- Graphs of Inverse Trigonometric Functions
- Properties of Inverse Trigonometric Functions > Self-adjusting Property
- Overview of Inverse Trigonometric Functions
- Properties of Inverse Trigonometric Functions > Reciprocal Property
- Properties of Inverse Trigonometric Functions > Negative Argument Property
- Properties of Inverse Trigonometric Functions > Complementary Property
- Properties of Inverse Trigonometric Functions > Conversion Property
- Properties of Inverse Trigonometric Functions > Addition & Subtraction Formula for Inverse Tangent
- Properties of Inverse Trigonometric Functions > Double-angle Property
- Properties of Inverse Trigonometric Functions > Triple-angle Property
- Properties of Inverse Trigonometric Functions > Addition–Subtraction Formula for Inverse Sine & Cosine
Algebra
Matrices
- Concept of Matrices
- Types of Matrices
- Equality of Matrices
- Operations on Matrices> Addition and Subtraction of Matrices
- Operations on Matrices>Scalar Multiplication
- Operations on Matrices> Matrix Multiplication
- Transpose of a Matrix
- Symmetric and Skew Symmetric Matrices
- Invertible Matrices
- Overview of Matrices
Calculus
Determinants
Vectors and Three-dimensional Geometry
Continuity and Differentiability
- Continuous and Discontinuous Functions
- Algebra of Continuous Functions
- Concept of Differentiability
- Derivatives of Composite Functions
- Derivative of Implicit Functions
- Derivative of Inverse Function
- Exponential and Logarithmic Functions
- Logarithmic Differentiation
- Derivatives of Functions in Parametric Forms
- Second Order Derivative
- Overview of Continuity and Differentiability
Linear Programming
Applications of Derivatives
Probability
Integrals
- Introduction of Integrals
- Integration as an Inverse Process of Differentiation
- Properties of Indefinite Integral
- Methods of Integration> Integration by Substitution
- Methods of Integration>Integration Using Trigonometric Identities
- Methods of Integration> Integration Using Partial Fraction
- Methods of Integration> Integration by Parts
- Integrals of Some Particular Functions
- Definite Integrals
- Fundamental Theorem of Integral Calculus
- Evaluation of Definite Integrals by Substitution
- Properties of Definite Integrals
- Overview of Integrals
Sets
Applications of the Integrals
Differential Equations
- Basic Concepts of Differential Equations
- Order and Degree of a Differential Equation
- General and Particular Solutions of a Differential Equation
- Methods of Solving Differential Equations> Variable Separable Differential Equations
- Methods of Solving Differential Equations> Homogeneous Differential Equations
- Methods of Solving Differential Equations>Linear Differential Equations
- Overview of Differential Equations
Vectors
- Basic Concepts of Vector Algebra
- Direction Ratios, Direction Cosine & Direction Angles in Vector
- Types of Vectors in Algebra
- Algebra of Vectors > Addition & Subtraction of Two Vectors
- Multiplication in Vector Algebra
- Components of Vector in Algebra
- Vector Joining Two Points in Algebra
- Section Formula in Vector Algebra
- Product of Two Vectors > Scalar (Dot) Product
- Overview of Vectors
Three - Dimensional Geometry
Linear Programming
Probability
Introduction
Differentiability is a core concept in calculus that determines whether a function has a well-defined derivative (or a continuous rate of change) at a particular point. The process of finding this derivative is called differentiation.
Definition: Derivative
The derivative of a real function f at a point c in its domain is defined as:
\[f'(c) = \lim_{h \to 0} \frac{f(c+h) - f(c)}{h}\]
Basic rules of differentiation
If $u$ and v are differentiable functions, then:
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\[(u \pm v)' = u' \pm v'\]
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\[(uv)' = u'v + uv'\]
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\[\left(\frac{u}{v}\right)' = \frac{u'v - uv'}{v^2}, v \neq 0\]
Standard Derivatives
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\[\frac{d}{dx}(x^n) = nx^{n-1}\]
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\[\frac{d}{dx}(\sin x) = \cos x\]
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\[\frac{d}{dx}(\cos x) = -\sin x\]
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\[\frac{d}{dx}(\tan x) = \sec^2 x\]
Theorem: Differentiability ⇒ Continuity
If a function \[f\] is differentiable at a point \[c\], then it is also continuous at that point.
Proof: Since \[f\] is differentiable at \[c\], we have
But for \[x \neq c\], we have
Therefore \[\lim_{x \to c} [f(x) - f(c)] = \lim_{x \to c} \left[ \frac{f(x) - f(c)}{x - c} \cdot (x - c) \right]\]
or \[\lim_{x \to c} [f(x)] - \lim_{x \to c} [f(c)] = \lim_{x \to c} \left[ \frac{f(x) - f(c)}{x - c} \right] \cdot \lim_{x \to c} [(x - c)]\]
\[= f'(c) \cdot 0 = 0\]
or \[\lim_{x \to c} f(x) = f(c)\]
Hence \[f\] is continuous at \[x = c\].
Key Points: Differentiability
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Derivative exists only when the defining limit exists.
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Differentiability at a point means the function has a valid derivative there.
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Every differentiable function is continuous at that point.
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Every continuous function is not necessarily differentiable.
Video Tutorials
Shaalaa.com | Continuity and Differentiability part 15 (Algebra of Derivatives)
Related QuestionsVIEW ALL [64]
| COLUMN-I | COLUMN-II |
| (A) If a function f(x) = `{((sin3x)/x, "if" x = 0),("k"/2",", "if" x = 0):}` is continuous at x = 0, then k is equal to |
(a) |x| |
| (B) Every continuous function is differentiable | (b) True |
| (C) An example of a function which is continuous everywhere but not differentiable at exactly one point |
(c) 6 |
| (D) The identity function i.e. f (x) = x ∀ ∈x R is a continuous function |
(d) False |
