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Business 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

Additional info: These notes expand on the original content by providing definitions, formulas, and examples for each major topic, ensuring completeness and clarity for exam preparation.

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