Mathematical Model: A mathematical representation of a real-world situation using equations, functions, or formulas
- Identify the variables and constants in the problem
- Translate the real-world situation into mathematical language
- Create the function or equation
- Use the model to solve specific problems
Variables: Total cost (C), miles driven (m)
Constants: Flat fee = $30, Rate = $0.25 per mile
Total cost = Flat fee + (Rate per mile × Miles driven)
C = 30 + 0.25m
C(m) = 30 + 0.25m
Where C(m) represents cost as a function of miles
For 120 miles: C(120) = 30 + 0.25(120) = 30 + 30 = $60
The mathematical model is C(m) = 30 + 0.25m, and the cost for driving 120 miles is $60
• Linear function: f(x) = mx + b, where m is rate and b is initial value
• Model validation: Check that the model makes sense in context
• Unit consistency: Ensure all units are compatible
Area Model: A mathematical model that represents geometric relationships using area formulas
Let w = width of the garden (in feet)
Length = width + 3 = w + 3
Area = length × width
A(w) = (w + 3) × w = w(w + 3) = w² + 3w
When w = 8: A(8) = 8² + 3(8) = 64 + 24 = 88 square feet
The area model is A(w) = w² + 3w, and when the width is 8 feet, the area is 88 square feet
• Area formula: Rectangle area = length × width
• Quadratic function: Area model often results in quadratic functions
• Dimension consistency: All dimensions must use the same units
Exponential Growth Model: A mathematical model where a quantity increases by a fixed percentage over equal time periods
Population increases by 2% each year
Multiplier = 1 + 0.02 = 1.02
P(t) = Initial population × (growth multiplier)^time
P(t) = 10,000 × (1.02)^t
P(5) = 10,000 × (1.02)^5
P(5) = 10,000 × 1.10408... ≈ 11,041 people
After 5 years, the population grows from 10,000 to approximately 11,041 people
The population model is P(t) = 10,000(1.02)^t, and after 5 years the population will be approximately 11,041 people
• Exponential growth: P(t) = P₀(1 + r)^t
• Growth rate: Convert percentage to decimal (2% = 0.02)
• Multiplier: 1 + growth rate
Mathematical Model: A mathematical representation of a real-world situation
Function: A relationship where each input has exactly one output
Variable: A symbol that represents a changing quantity
Parameter: A constant value that defines the model
Domain: The set of possible input values
Range: The set of possible output values
Model Validation: Checking that the model accurately represents the situation
Linear Model: A model with constant rate of change
- Problem identification: Understand what is being modeled
- Variable selection: Choose appropriate variables
- Relationship identification: Determine how variables relate
- Model creation: Write the mathematical equation
- Model validation: Check if model makes sense
- Model application: Use model to solve problems
Physics Model: A mathematical model that describes physical phenomena using scientific laws
Substitute t = 3 into d = 4.9t²
d = 4.9(3)² = 4.9(9) = 44.1 meters
Substitute d = 44.1 into d = 4.9t²
44.1 = 4.9t²
t² = 44.1/4.9 = 9
t = √9 = 3 seconds
When t = 3, d = 4.9(3)² = 44.1 ✓
When d = 44.1, t = 3 ✓
An object falls 44.1 meters in 3 seconds. It takes 3 seconds to fall 44.1 meters.
• Quadratic model: d = 4.9t² describes free fall acceleration
• Solving equations: Substitute known values or solve for unknowns
• Physics context: Model represents gravitational acceleration (g = 9.8 m/s²)
Optimization: Finding the maximum or minimum value of a function in a real-world context
Substitute x = 20 into P(x) = -2x² + 80x - 500
P(20) = -2(20)² + 80(20) - 500
P(20) = -2(400) + 1600 - 500 = -800 + 1600 - 500 = 300
For quadratic f(x) = ax² + bx + c, vertex occurs at x = -b/(2a)
Here: a = -2, b = 80, c = -500
x = -80/(2×-2) = -80/(-4) = 20
Since a = -2 < 0, the parabola opens downward, so vertex is maximum
Maximum profit occurs when x = 20 items are sold
P(20) = 300, so maximum profit is $300 when selling 20 items
Profit is $300 when 20 items are sold. The maximum profit of $300 occurs when 20 items are sold.
• Quadratic optimization: Vertex formula x = -b/(2a) finds extrema
• Direction: Negative coefficient means maximum point
• Business context: Profit model shows relationship between sales and revenue
Mathematical Model: A mathematical representation of a real-world situation using equations, functions, or formulas
Function: A rule that assigns to each input exactly one output
Linear Model: A model of the form f(x) = mx + b, representing constant rate of change
Quadratic Model: A model of the form f(x) = ax² + bx + c, representing parabolic relationships
Exponential Model: A model of the form f(x) = ab^x, representing percent change
Model Validation: The process of checking that a model accurately represents the situation
Domain Restriction: Limiting the input values based on real-world constraints
Optimization: Finding maximum or minimum values in real-world contexts
- Problem analysis: Understand the real-world situation
- Variable identification: Choose appropriate input and output variables
- Relationship determination: Identify how variables relate to each other
- Model selection: Choose appropriate function type (linear, quadratic, exponential)
- Parameter determination: Find the constants in the model
- Model validation: Check that the model makes sense
- Model application: Use the model to solve problems
- Result interpretation: Translate mathematical results back to real-world context
• Linear model: f(x) = mx + b, constant rate of change
• Quadratic model: f(x) = ax² + bx + c, parabolic behavior
• Exponential model: f(x) = ab^x, percent change
• Vertex formula: x = -b/(2a) for quadratic functions
• Model validation: Check reasonableness and domain restrictions