91Ó°ÊÓ

When something is said to be inversely proportional, it means that one quantity increases while the other decreases at a rate such that their product is constant. In the context of the given exercise, this means the rate of growth of the tree's height decreases as time goes on. Mathematically, if we say the rate of change of height, \( \frac{dh}{dt} \), is inversely proportional to the time \( t \), we express this relationship with the equation:

• \( \frac{dh}{dt} = \frac{k}{t} \)

Here, \( k \) is the constant that needs to be determined from the given conditions. This proportionality hints at a slowing growth rate—a typical model for many natural growth processes where resources become more limited with time.

Integration is a mathematical process used to find functions given their derivatives. In this exercise, integrating the differential equation helps us find a function for the tree's height over time. Starting with the equation:

• \( \frac{dh}{dt} = \frac{k}{t} \)

We integrate both sides with respect to \( t \) to find \( h \).

• \( h = \int \frac{k}{t} dt = k \ln|t| + C \)

The process introduces an integration constant \( C \), which captures any initial height offset of the tree. By solving this, we derive a model that explains how the tree height changes over time, capturing both the initial conditions and the influence of inverted proportionality.

Initial conditions are the known starting values of a system being modeled. They are crucial for solving differential equations uniquely. In our case, we're given two points in time where the height of the tree was measured:

• At \( t = 2 \) years, \( h = 4 \) feet
• At \( t = 7 \) years, \( h = 30 \) feet

These conditions allow us to determine the constants \( k \) and \( C \) in our height equation:

• \( 4 = k \ln(2) + C \)
• \( 30 = k \ln(7) + C \)

Using these equations, we can solve for \( k \) and \( C \) to tailor our general solution to fit the specific scenario of the tree growth, allowing for precise modeling of this tree's height over time.

Tree growth modeling involves creating mathematical models to predict how a tree's height changes over time. In this exercise, the tree's growth is expressed through a logarithmic function derived from the differential equation. This model implies that the tree grows fast initially but slows down over time, reflecting the natural resource constraints as the tree becomes larger.

• The derived equation: \( h = \frac{26}{\ln\left(\frac{7}{2}\right)} \ln|t| + C \) captures the tree's growth pattern.

Given enough time, the tree would continue to grow taller, although at a decreasing rate because of the growth modeling's inherent nature where the rate slows as time increases. Such models help foresters, botanists, and ecologists make predictions and decisions about the management and conservation of forests.