Differentiation Rules of Differentiation Differentiation for a Function

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Differentiation

Differentiation

Rules of Differentiation • Differentiation for a Function of One Variable • Differentiation Involving

Rules of Differentiation • Differentiation for a Function of One Variable • Differentiation Involving Two or More Functions of the Same Variable • Differentiation Involving Functions of Different Variables • Partial Differentiation • Constant-Function Rule • Power-Function Rule Generalized 2

A Review of the 9 Rules of Differentiation for a Function of One Variable

A Review of the 9 Rules of Differentiation for a Function of One Variable 3

Constant-Function Rule 4

Constant-Function Rule 4

Power-Function Rule 5

Power-Function Rule 5

Rules of Differentiation Involving Two or More Functions of the Same Variable • Sum-difference

Rules of Differentiation Involving Two or More Functions of the Same Variable • Sum-difference rule • Product rule • Finding marginal-revenue function from average-revenue function • Quotient rule • Relationship between marginal-cost and average-cost functions 6

Sum or difference rule 7

Sum or difference rule 7

Product rule 8

Product rule 8

Finding marginal-revenue function from average-revenue function using the product rule 9

Finding marginal-revenue function from average-revenue function using the product rule 9

A Review of the 9 Rules of Differentiation for a Function of One Variable

A Review of the 9 Rules of Differentiation for a Function of One Variable 10

Quotient rule 11

Quotient rule 11

Relationship between marginal-cost and average-cost functions C MC AC Q 12

Relationship between marginal-cost and average-cost functions C MC AC Q 12

Rules of Differentiation Involving Functions of Different Variables • Chain rule • Inverse-function rule

Rules of Differentiation Involving Functions of Different Variables • Chain rule • Inverse-function rule 13

A Review of the 9 Rules of Differentiation Involving Functions of Different Variables 14

A Review of the 9 Rules of Differentiation Involving Functions of Different Variables 14

Chain rule 15

Chain rule 15

Chain rule 16

Chain rule 16

Chain rule and its relation to total differential 17

Chain rule and its relation to total differential 17

A Review of the 9 Rules of Differentiation Involving Functions of Different Variables 18

A Review of the 9 Rules of Differentiation Involving Functions of Different Variables 18

Inverse-function rule 19

Inverse-function rule 19

Inverse-function rule 20

Inverse-function rule 20

Inverse-function rule • This property of one to one mapping is unique to the

Inverse-function rule • This property of one to one mapping is unique to the class of functions known as monotonic functions: • Recall the definition of a function, p. 17, function: one y for each x monotonic function: one x for each y (inverse function) • if x 1 > x 2 f(x 1) > f(x 2) monotonically increasing Qs = b 0 + b 1 P supply function (where b 1 > 0) P = -b 0/b 1 + (1/b 1)Qs inverse supply function • if x 1 > x 2 f(x 1) < f(x 2) monotonically decreasing Qd = a 0 - a 1 P demand function (where a 1 > 0) P = a 0/a 1 - (1/a 1)Qd inverse demand function 21

Partial Differentiation • Partial derivatives • Techniques of partial differentiation • Geometric interpretation of

Partial Differentiation • Partial derivatives • Techniques of partial differentiation • Geometric interpretation of partial derivatives 22

Partial derivatives 23

Partial derivatives 23

Partial derivatives 24

Partial derivatives 24