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Calculus

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

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Calculus

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

  2. 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

  3. Limit of series

  4. Limit of series

  5. Limit of series

  6. Limit of series

  7. Limit of series

  8. Limit of series

  9. Limit of series

  10. Limit of series

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

  12. 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

  13. 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.

  14. 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?

  15. Feeling Continuity

  16. Feeling Continuity

  17. Feeling Continuity

  18. Feeling Continuity

  19. Feeling Continuity

  20. Feeling Continuity

  21. Feeling Continuity

  22. Feeling Continuity

  23. Feeling Continuity

  24. Feeling Continuity

  25. A discontinuous Function

  26. A discontinuous Function

  27. Differentiation • Algebraic motivation – rate of change

  28. Algebraic Motivation

  29. Algebraic Motivation

  30. Algebraic Motivation

  31. Algebraic Motivation

  32. Algebraic Motivation

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

  34. Geometric Motivation

  35. Geometric Motivation

  36. Geometric Motivation

  37. Geometric Motivation

  38. Geometric Motivation

  39. Differentiation • Definition • Rules of Differentiation • Examples • Differentiable Functions

  40. Feeling Differentiation

  41. Feeling Differentiation

  42. Feeling Differentiation

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

  44. 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

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

  46. 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 = 0.06x*x + 65x + 75y + 1000 • Determine the marginal costs wrt x and y and evaluate these when x = 100 and y = 50. Interpret.

  47. 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 + 1120x + 873y, 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.

  48. 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

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

  50. Maxima and Minima

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