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IB Maths AA 5.12 Notes

This page contains our IB Maths AA notes for 5.12. By reading each one of these notes, you will fully cover the content for IB Maths AA 'Differential equations'.

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First-order differential equations

A differential equation is an equation involving a function and one of its derivatives. Instead of giving the quantity directly, it tells us how that quantity changes. This makes differential equations very useful for modelling growth, decay, motion, populations and many other changing systems.

A first-order differential equation involves only the first derivative, usually written as

dydx\frac{dy}{dx}

A general first-order differential equation can be written as

dydx=f(x,y)\frac{dy}{dx}=f(x,y)

For example, if yy represents a population at time tt, then dydt\frac{dy}{dt} represents the rate at which the population is changing. A differential equation links the size of the population to its rate of change.

However, forming a differential equation from a problem is difficult. An easy rule is that many differential equations come from phrases such as is proportional to.

  • If a quantity yy is proportional to itself, then dydt=ky\frac{dy}{dt}=ky, where kk is a constant of proportionality.
  • If a quantity GG grows at a rate proportional to G\sqrt{G}, then dGdt=kG\frac{dG}{dt}=k\sqrt{G}, where kk is a constant.
  • If a quantity decreases at a rate proportional to its size, then dydt=ky\frac{dy}{dt}=-ky.

The sign of the constant, or the sign written in the model, tells us whether the quantity is growing or decreasing.

Form an equation for the growth of an algae population GG at time tt is proportional to G\sqrt{G}:

This means dGdt=kG\frac{dG}{dt}=k\sqrt{G} where kk is a constant.

The key idea is that a differential equation does not directly tell us the value of the function. Instead, it tells us how the function is changing. Solving the equation converts this rate information into an expression for the function itself, or at least an approximation to it.

This is why differential equations are so powerful in modelling. We often know how something changes before we know its exact formula.

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