Abstract
When, for example, we seek to model changes in population size, or the path of a projectile, or the escape of water down a plughole, or rowing across a river, we generally have information about the rate of change of one variable, y, with respect to another one, x; writing down that information often leads to an equation involving quantities such as \(\frac{dy}{dx}\) or \(\frac{d^2y}{dx^2}\), the derivatives of y with respect to x. In this introduction to a vast topic, we consider only straightforward first or second order ordinary differential equations: we show how they can be set up from verbal information, and how particular types can be solved by standard methods. We look at linked systems, with applications to predator-prey equations, and models for the spread of epidemics or rumours, with Exercises on topics such as carbon dating, cooling of objects, evaporation of mothballs, mixing of liquids and Lanchester’s Square Law about conflicts.
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References and Further Reading
Daley D J and Kendall D G (1965) Stochastic Rumours. Journal of the Institute of Mathematics and its Applications 1 pages 42–55
Kermack W O and McKendrick A G (1927) A contribution to the Mathematical theory of Epidemics. Proceedings of the Royal Society A 115 pages 700–721
Lanchester F W (1916) Aircraft in warfare: the Dawn of the Fourth Arm. Constable and Co.
Lotka A J (1910) Contribution to the Theory of Periodic Reactions. Journal of Physical Chemistry 14 pages 271–4
Simmons G F (1972) Differential Equations, with Applications and Historical Notes. McGraw-Hill.
Volterra V (1926) Fluctuations in the abundance of species considered mathematically. Nature 118 pages 558–560
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Haigh, J. (2016). Differential Equations. In: Mathematics in Everyday Life. Springer, Cham. https://doi.org/10.1007/978-3-319-27939-8_2
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DOI: https://doi.org/10.1007/978-3-319-27939-8_2
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