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Modelling with functions is a powerful mathematical technique used to represent real-world situations using mathematical expressions. Functions can describe relationships between variables, predict outcomes, and solve practical problems. Here's how to approach modelling with functions:
Before you can model a situation with a function, it's important to understand the scenario and identify the variables involved. Determine which variable depends on the other(s) (this will be your dependent variable) and which is the independent variable.
Example: A company's profit depends on the number of units it sells. Here, is the dependent variable, and is the independent variable.
The next step is to choose a mathematical function that best represents the relationship between the variables. Some common types of functions used in modelling include:
Example: The company's profit might be a linear function of the units sold: where represents the revenue and represents fixed costs.
Using information from the problem, construct the function by defining the parameters. This step often requires understanding how different factors influence the situation.
Example: If it costs £2 per unit to produce an item and the company sells each unit for £5, with fixed costs of £1000, the profit function can be constructed as: Simplifying, we get:
Once you have the function, you can use it to solve problems, make predictions, or analyse the scenario.
Example: To find out how many units the company needs to sell to break even (i.e., when profit ): Solve for : So, the company needs to sell approximately 334 units to break even.
Finally, interpret the results in the context of the original problem. This step involves considering whether the results are realistic and meaningful.
Example: If the company's production capacity is 500 units per month, selling 334 units is achievable and will cover the costs, leading to profit beyond this point.
A garden hose fills a swimming pool at a rate of 10 litres per minute. The pool's volume is 2400 litres. Model the time (in minutes) it takes to fill the pool with a function and determine how long it takes to fill the pool to 75% of its capacity.
Solution:
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