BackBusiness Calculus Study Guide: Marginal Analysis, Exponential & Logarithmic Functions, Derivative Rules, and Elasticity
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Marginal Analysis in Business & Economics
Key Business Functions
In business calculus, several functions are used to model financial aspects of production and sales:
Revenue (R(x)): The total income from selling x units of goods or services.
Cost (C(x)): The total expense incurred to produce x units, including fixed and variable costs.
Profit (P(x)): The difference between revenue and cost, i.e., .
Break-even point: The production level where revenue equals cost (), resulting in zero profit.
Example: If a company produces x thousand units, the break-even point is where .
Marginal Analysis
Marginal analysis examines the additional benefit or cost from producing one more unit. It is a fundamental tool for maximizing profit.
Marginal Cost (MC): The derivative of the cost function, , approximates the cost of producing the next unit.
Marginal Revenue (MR): The derivative of the revenue function, , estimates the revenue from selling one more unit.
Marginal Profit (MP): The derivative of the profit function, , estimates the profit from one additional unit.
Theorem: Marginal cost at x items approximates the exact cost of producing the (x+1)st item:
Example: If , then gives the marginal cost at x units.
Demand and Revenue Functions
Demand Function: relates the price per unit to the number of units demanded.
Total Revenue:
Example: If , then .
Average and Marginal Average Functions
Average Cost:
Average Revenue:
Average Profit:
Marginal Average: The derivative of the average function, e.g.,
Exponential & Logarithmic Functions
The Constant e and Exponential Functions
The number e is a mathematical constant approximately equal to 2.718281828459...
Exponential Function: , where and
Domain:
Range:
Exponential Growth & Decay
Exponential models describe processes that grow or decay at rates proportional to their current value:
Growth:
Decay:
Example: Bacterial growth: , with and hours.
Compound Interest
Formula:
Variables: = principal, = rate, = compounding periods per year, = years
Example: compounded monthly for 10 years:
Logarithmic Functions
Definition: The inverse of an exponential function. is equivalent to .
Domain:
Range:
Common Logarithms: ,
Properties of Logarithms
Property | Formula |
|---|---|
Log of 1 | |
Log of base | |
Log of power | |
Inverse property | |
Product rule | |
Quotient rule | |
Power rule | |
Equality |
Derivatives of Exponential & Logarithmic Functions
Basic Derivative Rules
Applications
Example: If , then
Example: For ,
Product and Quotient Rules for Derivatives
Product Rule
The derivative of a product of two functions:
Quotient Rule
The derivative of a quotient of two functions:
Example: ,
The Chain Rule
Definition and Application
The chain rule is used to differentiate composite functions:
If , then
Generalized Power Rule:
Generalized Exponential Rule:
Generalized Logarithm Rule:
Elasticity of Demand
Relative and Percentage Rate of Change
Relative Rate of Change:
Percentage Rate of Change:
Elasticity of Demand
Elasticity measures how sensitive demand is to price changes:
Type | Elasticity Range | Revenue Effect |
|---|---|---|
Inelastic | Price increase raises revenue | |
Elastic | Price increase lowers revenue | |
Unit Elastic | Revenue unchanged |
Example: If , at , calculate to determine elasticity.
Summary Table: Key Formulas
Concept | Formula |
|---|---|
Marginal Cost | |
Marginal Revenue | |
Marginal Profit | |
Average Cost | |
Exponential Growth/Decay | |
Compound Interest | |
Continuous Compound Interest | |
Product Rule | |
Quotient Rule | |
Chain Rule | |
Elasticity of Demand |
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