2)(C) A garden centre advertises young plants to be used as hedging. After planting, the growth \( G \) metres (ie the increase in height) after \( t \) years is modelled by the differential equation \[ \frac{d G}{d t}=\frac{25 k-G}{25} \] where \( k \) is a constant and \( G=0 \) when \( t=0 \). (a) Express \( G \) in terms of \( t \) and \( k \). (b) Given that a plant grows \( 0 \cdot 6 \) metres by the end of 5 years, find the value of (c) On the plant labels it states that the expected growth after 10 years is approximately 1 metre. Is this claim justified? (d) Given that the initial height of the plants was 0.3 m , what is the likely long-term height of the plants?
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The given differential equation is a classic example of a first-order linear differential equation modeling growth towards a maximum value—essentially a form of logistic growth. This type of growth is common in biological systems, reflecting how plants and other organisms grow when resources are plentiful but experience some capping effect as they approach their maximum potential size. It's fascinating to see mathematical models applied in gardening! To solve part (a), we can use integrating factors or direct integration to express \( G \) in terms of \( t \) and \( k \). It’s crucial to note that initial conditions help us find the constants of integration, connecting the abstract math to real-world scenarios like how plants respond to environmental factors over time. Understanding these models allows gardeners to predict plant behaviors effectively.