Continuity and Differentiability
Introduction to Continuity and Differentiability
Philosophical Context: Albert Einstein stated, "The whole of science is nothing more than a refinement of everyday thinking."
Historical Figure: Sir Isaac Newton (1642-1727) is a central figure in the development of these mathematical concepts.
Chapter Scope: This study guide covers the continuation of polynomial and trigonometric differentiation from Class XI, introducing: - Continuity and Differentiability and the relations between them. - Differentiation of inverse trigonometric functions. - Exponential functions and logarithmic functions. - Powerful differentiation techniques and fundamental theorems illustrated through differential calculus.
The Concept of Continuity
Informal Understanding: Naively, a function is continuous at a fixed point if the graph of the function around that point can be drawn without lifting the pen from the paper.
Introductory Instance of Discontinuity (Example 1): Consider defined as: - if - if x > 0 - Analysis shows that at points to the left of (e.g., ), the value is . At points to the right (e.g., ), the value is . The left hand limit () and right hand limit () do not coincide, making the function discontinuous at .
Introductory Instance of Discontinuity (Example 2): Consider defined as: - if - if - Here, the left and right hand limits both equal , but the value of the function at is . Since the limit does not coincide with the function value, it is discontinuous.
Mathematical Definition (Definition 1): Suppose is a real function on a subset of the real numbers and let be a point in the domain of . Then is continuous at if: - - Elaborately: The left hand limit (LHL), right hand limit (RHL), and the function value at must exist and be equal to each other.
Discontinuity: If is not continuous at , it is said to be discontinuous at , and is called a point of discontinuity of .
Analytical Examples of Continuity
Example 1: Polynomial at a Point: Check at . - Value: . - Limit: . - Conclusion: Continuous at .
Example 2: Square Function: Examine at . - Value: . - Limit: . - Conclusion: Continuous at .
Example 3: Modulus Function: Discuss at . - Defined as: if x < 0 and if . - LHL: . - RHL: . - Value: . - Conclusion: Continuous at .
Example 4: Pointwise Discontinuity: if and if . - Limit as is . - Value is . - Conclusion: Not continuous because .
Example 5: Constant Function: is continuous at every real number because .
Example 6: Identity Function: is continuous at every real number because .
Continuity in Domains and Intervals
Definition 2: A real function is continuous if it is continuous at every point in its domain.
Continuity on a Closed Interval [a, b]: For to be continuous on , it must be continuous at every point in , and: - -
Singleton Domain: If the domain of is a single point, it is continuous there by definition.
Polynomial Continuity (Example 14): Every polynomial function defined by is continuous at every real number in its domain.
Reciprocal Function (Example 9): is continuous at every point in its domain. To prove this, for any non-zero constant : - .
Analysis of Limits and Infinity
Concept of Infinity: Analyzed via near .
Right Hand Limit (Table 5.1): As approaches from the right: - Values: . - Notation: .
Left Hand Limit (Table 5.2): As approaches from the left: - Values: . - Notation: .
Key Distinction: Neither nor are real numbers; therefore, these limits do not exist in the context of real number continuity.
Greatest Integer Function Discontinuity
Definition: denotes the greatest integer less than or equal to .
Case 1: Non-integral points: For any real number that is not an integer, the limit as equals , matching the function value. It is continuous at these points.
Case 2: Integral points: Let be an integer and r > 0 be small. - - - LHL: . - RHL: . - Conclusion: Since , the function is discontinuous at every integral point.
Algebra of Continuous Functions
Theorem 1: Suppose and are real functions continuous at a real number . Then: 1. is continuous at . 2. is continuous at . 3. is continuous at . 4. is continuous at , provided .
Rational Functions (Example 16): Since polynomial functions are continuous, rational functions defined by (where ) are continuous at every point in their domain.
Continuity of Sine (Example 17): Uses the fact . - Proof: Let . As . - .
Continuity of Tangent (Example 18): . Being a quotient of two continuous functions, it is continuous wherever (i.e., ).
Composite Function Continuity (Theorem 2): If is continuous at and is continuous at , then the composite function is continuous at . - Example: is continuous as a composition of and . - Example: is continuous as a composition of absolute value and polynomial/modulus sums.
The Basics of Differentiability
Definition: The derivative of at point is defined by: -
Notation: Denoted as , , or (if ).
Algebra of Derivatives Review: 1. 2. (Leibnitz or Product Rule) 3. , where (Quotient Rule)
Standard Derivatives (Table 5.3): - - - -
Requirement for Existence: A function is differentiable at if both the left hand derivative and right hand derivative are finite and equal.
Relation between Continuity and Differentiability
Theorem 3: If a function is differentiable at a point , then it is also continuous at that point.
Proof: - Since is differentiable at , . - For , . - . - Hence, .
Important Caveat: The converse is not true. Every differentiable function is continuous, but not every continuous function is differentiable.
Counter-example: f(x) = |x| at x = 0: - Left hand limit of derivative: . - Right hand limit of derivative: . - Since , is not differentiable at , despite being continuous.
The Chain Rule
Definition (Theorem 4): If , and , then: -
Extended Chain Rule: For , where and , then: -
Implicit Functions Differentiation: When , we can re-evaluate as . However, in forms like , we differentiate directly with respect to using the chain rule on the variable . - Example: For , differentiation yields: - - where .
Derivatives of Inverse Trigonometric Functions
General Identity: Derivatives are found assuming they exist and applying the chain rule.
Derivation for sin⁻¹ x: - Let , so . - Differentiating w.r.t. : . - . - Defined for .
Derivative Table: - for domain . - for domain . - for domain .
Exponential and Logarithmic Functions
Growth Rate Discussion: Polynomial functions grow based on their degree ( grows faster than ). However, exponential functions like grow faster than any polynomial function . - Evidence: If , , while .
Definition 3 (Exponential): The exponential function with base b > 1 is . - Features: Domain is , range is , passes through , ever increasing. - Natural Exponential: Using the series sum (approx ). The function is .
Definition 4 (Logarithm): if . - Common Logarithm: Base . - Natural Logarithm: Base , denoted as or . - Features: Domain is , range is , passes through , ever increasing.
Logarithmic Properties: 1. Change of Base: . 2. Product Rule: . 3. Power Rule: . 4. Quotient Rule: . 5. Inversion: for x > 0.
Theorems of Differentiation (Theorem 5): - -
Logarithmic Differentiation
Purpose: Used for functions of the form . Both functions must be positive.
Process: 1. Take log on both sides: . 2. Differentiate implicitly using chain and product rules: . 3. Multiply by to get the final derivative.
Example (Example 28): Differentiate . - . - . - .
Parametric Forms and Second Order Derivatives
Parametric Form: When and , where is the parameter. - , provided .
Example (Example 32): Find if . - , . - .
Second Order Derivative: Denoted by or or . - Defined as .
Higher Order Derivatives: Defined by repeating the differentiation process sequentially.
Example (Example 35): Find if . - . - .
Summary of Principles
Continuity: A function is continuous if the limit equals the function value at a point. Sums, differences, products, and quotients of continuous functions remain continuous.
Differentiability: Implies continuity, but not vice versa. Standard differentiation rules (Product, Quotient, Chain) apply.
Inverse Trig: Derivatives involve algebraic expressions (e.g., for ).
Exponentials/Logs: is invariant under differentiation; differentiates to its reciprocal .
Parametrics: Differentiation involves ratios of derivatives of the parameter.