Differentiation Rules of Differentiation Differentiation for a Function
- Slides: 24
Differentiation
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 3
Constant-Function Rule 4
Power-Function Rule 5
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
Product rule 8
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 10
Quotient rule 11
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 13
A Review of the 9 Rules of Differentiation Involving Functions of Different Variables 14
Chain rule 15
Chain rule 16
Chain rule and its relation to total differential 17
A Review of the 9 Rules of Differentiation Involving Functions of Different Variables 18
Inverse-function rule 19
Inverse-function rule 20
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 derivatives 22
Partial derivatives 23
Partial derivatives 24
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