Modelling with Functions (Cambridge (CIE) AS Maths: Pure 1): Flashcards

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  • Define mathematical model.

Cards in this collection (7)

  • Define mathematical model.

    A mathematical model simplifies a real-world situation so that it can be described using mathematics and used to make predictions.

    The description is deliberately imperfect: the aim is something simple enough to work with, not something that captures everything.

  • A model is built by making \_\_\_\_\_\_ that simplify the situation, and it can later be \_\_\_\_\_\_ if better information becomes available.

    A model is built by making assumptions that simplify the situation, and it can later be refined if better information becomes available.

    Both belong to the same cycle: you assume something in order to get started, then improve the model once you can see how well it fits.

  • The number of leaves on a tree after d days is modelled by \text{f}\left(d\right) = \frac{L}{d + 1}. What does L represent?

    L is the number of leaves at the very start, when d = 0.

    Substituting the value that makes the rest of the expression disappear is the general way to work out what a constant in a model stands for.

  • Why does only one branch of a reciprocal model usually matter?

    Because the quantity being modelled is normally one that cannot be negative, such as a time, a length or a number of objects.

    The other branch is mathematically correct but describes values the situation cannot take, so it is discarded.

  • True or False?

    A model of the form \text{f}\left(d\right) = \frac{L}{d + 1} predicts that the quantity never reaches zero.

    True.

    No value of d makes \frac{L}{d + 1} equal to zero, so the curve gets ever closer to the horizontal axis without ever touching it.

    If the quantity really does reach zero in practice, that is a limitation of the model rather than a fact about the situation.

  • How can you find a weakness in a function used as a model?

    Test the extremes: what the model predicts when the input is close to zero, and what it predicts when the input becomes very large.

    A model that behaves sensibly in the middle of its range can still give nonsense at either end.

  • A gas has pressure P = \frac{1750000}{V} pascals, where V is the volume in \text{m}^{3}. What is the smallest whole volume keeping P below 120000?

    Solving \frac{1750000}{V} < 120000 gives V > 14.583 \ldots, so the smallest whole volume is 15 \text{ m}^{3}.

    Rounding down to 14 \text{ m}^{3} would break the condition, so a value produced by a model always has to be checked against what the situation actually allows.

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