Calculus Limits Continuity of Functions Differentiation Application of

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Calculus • • • Limits Continuity of Functions Differentiation Application of differentiation Integration

Calculus • • • Limits Continuity of Functions Differentiation Application of differentiation Integration

Limits • Example from tangent line • Example from Decimal expansion of 1/3=0. 33333….

Limits • Example from tangent line • Example from Decimal expansion of 1/3=0. 33333…. • Definition of limits – get closer but do not touch • Few more examples of limits

Limit of series

Limit of series

Limit of series

Limit of series

Limit of series

Limit of series

Limit of series

Limit of series

Limit of series

Limit of series

Limit of series

Limit of series

Limit of series

Limit of series

Limit of series

Limit of series

Limits • Example from geometric series • Limit of a series • Definition of

Limits • Example from geometric series • Limit of a series • Definition of limits – get closer but do not touch • Few more examples of limits

Some Important Limits • • • sin(x)/x at x=0 Definition of e Limit of

Some Important Limits • • • sin(x)/x at x=0 Definition of e Limit of 1/x at x=0 Limit of 1/(x*x) at x=0 more examples

A practical Example • Interest compounded continuously • S = P[(1 + r/k)^(kn)] where

A practical Example • Interest compounded continuously • S = P[(1 + r/k)^(kn)] where n– no of years, k is no of times interest is compounded in a year, other variables have usual meaning. • Let k -> infinity. • S = P* e^(rn) • E. g. a trust fund is set by a single payment so that at the end of 20 years, there is $25000 in the fund. If the interest is calculated at a rate of 7% compounded continuously, find the amount of money to be invested.

Continuity • Definition • f(x)=1/x if x� ‚ 0; is f(x) continuous at x=0?

Continuity • Definition • f(x)=1/x if x� ‚ 0; is f(x) continuous at x=0? • f(x)=1/x if x� ‚ 0 otherwise f(x)=0; is f continuous at x=0? • f(x)=x^2/x if x� ‚ 0 otherwise f(x)=1; is f continuous at x=0? • f(x)=x^2/x if x� ‚ 0 otherwise f(x)=0; is f continuous at x=0?

Feeling Continuity

Feeling Continuity

Feeling Continuity

Feeling Continuity

Feeling Continuity

Feeling Continuity

Feeling Continuity

Feeling Continuity

Feeling Continuity

Feeling Continuity

Feeling Continuity

Feeling Continuity

Feeling Continuity

Feeling Continuity

Feeling Continuity

Feeling Continuity

Feeling Continuity

Feeling Continuity

Feeling Continuity

Feeling Continuity

A discontinuous Function

A discontinuous Function

A discontinuous Function

A discontinuous Function

Differentiation • Algebraic motivation – rate of change

Differentiation • Algebraic motivation – rate of change

Algebraic Motivation

Algebraic Motivation

Algebraic Motivation

Algebraic Motivation

Algebraic Motivation

Algebraic Motivation

Algebraic Motivation

Algebraic Motivation

Algebraic Motivation

Algebraic Motivation

Differentiation • Algebraic motivation – rate of change • Geometric motivation – limiting position

Differentiation • Algebraic motivation – rate of change • Geometric motivation – limiting position of secant

Geometric Motivation

Geometric Motivation

Geometric Motivation

Geometric Motivation

Geometric Motivation

Geometric Motivation

Geometric Motivation

Geometric Motivation

Geometric Motivation

Geometric Motivation

Differentiation • • Definition Rules of Differentiation Examples Differentiable Functions

Differentiation • • Definition Rules of Differentiation Examples Differentiable Functions

Feeling Differentiation

Feeling Differentiation

Feeling Differentiation

Feeling Differentiation

Feeling Differentiation

Feeling Differentiation

Some more Differentiation • • • Derivatives of Logarithmic functions Derivatives of Exponential functions

Some more Differentiation • • • Derivatives of Logarithmic functions Derivatives of Exponential functions Derivative of implicit functions examples Higher Order Derivatives

Multivariate Calculus • Functions of Several Variables – E. g. The marketing quantity may

Multivariate Calculus • Functions of Several Variables – E. g. The marketing quantity may depend on the own price and price of competition. – Represented in a 3 -D plane rather than a line. – Important in complex dependency models

Partial Differentiation • Rate of change of function when one variable changes • example

Partial Differentiation • Rate of change of function when one variable changes • example

Applications of Partial Derivatives • E. g. A company manufactures two types of products

Applications of Partial Derivatives • E. g. A company manufactures two types of products A and B. Suppose the joint cost function for producing x pairs of A and y pairs of B is • C = 0. 06 x*x + 65 x + 75 y + 1000 • Determine the marginal costs wrt x and y and evaluate these when x = 100 and y = 50. Interpret.

Applications of Partial Derivatives • E. g. MBA compensation : In a study of

Applications of Partial Derivatives • E. g. MBA compensation : In a study of success among MBAs, it was calculated that current annual compensation was given by • Z = 10, 990 + 1120 x + 873 y, where x and y are number of years of work ex prior and post MBA. Find the partial derivative wrt x and y and interpret.

Higher Order Partial Derivatives • When a function depends on two variables and we

Higher Order Partial Derivatives • When a function depends on two variables and we desire to find the sensitivity wrt both at the same time • Derivative can be taken wrt same variable more than once also to determine the nature of the rate of change • example

Application of Differentiation • Extremal Problems – maxima and minima • Curve Sketching •

Application of Differentiation • Extremal Problems – maxima and minima • Curve Sketching • Mathematical Modelling

Maxima and Minima

Maxima and Minima

Maxima and Minima • Find f’(x) and solve f’(x) = 0. This value of

Maxima and Minima • Find f’(x) and solve f’(x) = 0. This value of x (say x*) is the critical point; probably maxima or minima will occur at this point. • Find f’’(x). • If f’’(x) > 0 then a minima • If f’’(x) < 0 then a minima • What if f’’(x)=0?

Maxima and Minima • • Consider the following monopolistic scenario Price, p = 400

Maxima and Minima • • Consider the following monopolistic scenario Price, p = 400 – 2 q where q is the quantity. Average Cost c = 0. 2 q + 4 + (400/q) Calculate the profit maximizing quantity and price. What is the maximum profit? ? • In case the govt imposes a tax of $22 per unit on the monopolist, what is the new price for profit maximization?

Integration • • Anti-derivative –> Inverse of differentiation Indefinite Integral -> ò f(x)dx =

Integration • • Anti-derivative –> Inverse of differentiation Indefinite Integral -> ò f(x)dx = F(x) + c Integration with initial conditions – example Rules of Integration

A Practical Example If the marginal revenue function for a manufacturer’s product is related

A Practical Example If the marginal revenue function for a manufacturer’s product is related to the quantity sold q as 2000 – 20 q – 3 q*q. Find the expression for the total revenue assuming that there is no revenue when no goods get sold.