The Two Phases of Bacterial Growth
Imagine a bacterial infection as a ticking time bomb. For the first hour, the bacteria are having a party, multiplying exponentially without any resistance. The problem tells us that during this initial phase, the population grows according to the function N(t)=N0exp(t).
We need to find out exactly how many bacteria are present when the party gets crashed by the antibiotic. Since the antibiotic takes exactly 1 hour to reach the wound, we simply plug t=1 into our growth equation.
This gives us the population at the 1-hour mark: N(1)=N0e1=N0e. This value is crucial because it becomes the starting point—the initial condition—for the next phase of our mathematical journey.
The Antibiotic Strikes
Once the clock strikes 1 hour, the antibiotic arrives and starts destroying the bacteria. The rate of this destruction is given by the differential equation dtdN=−5N2.
Notice the negative sign? It beautifully captures the essence of decay. The N2 term tells us that this is a second-order process; the bacteria are dying off at a rate proportional to the square of their current population.
To find out how the population N changes over time t, we need to solve this differential equation. We do this by separating the variables—gathering all the N terms on one side and the t terms on the other.
This gives us N2dN=−5dt.
Now, we integrate both sides. But we must be incredibly careful with our limits! The time t starts from 1 (not 0), and the population N starts from our previously calculated value, N0e.
So, our integral setup looks like this:
∫N0eNN−2dN=−5∫1tdt
Solving the Integral
Let's execute the integration. The integral of N−2 is simply −N1.
Applying the upper and lower limits, the left side becomes:
[−N1]N0eN=−N1−(−N0e1)=−N1+N0e1
On the right side, the integral of dt is just t. Applying the limits from 1 to t, we get:
−5[t]1t=−5(t−1)
Equating both sides, we have our raw mathematical relationship:
−N1+N0e1=−5(t−1)
Unveiling the Graph
The question doesn't just ask for N; it specifically asks for the plot of NN0 versus t. This means we need to algebraically manipulate our equation to isolate NN0.
Let's multiply the entire equation by N0 to clear the path:
−NN0+e1=−5N0(t−1)
Now, let's move terms around to isolate NN0:
NN0=5N0(t−1)+e1
Let's expand this to see its true geometric form:
NN0=(5N0)t+(e1−5N0)
Take a step back and look at this equation. It perfectly matches the equation of a straight line, y=mx+c!
Here, our y-axis variable is NN0, and our x-axis variable is t. The slope of this line, m, is 5N0. Since N0 (the initial population) is a positive number, the slope is strictly positive.
Furthermore, let's check where this line starts. At t=1, the value of NN0 is exactly e1, which is a positive constant.
Therefore, the graph must be a straight line with a positive slope that starts from a positive value on the y-axis. Looking at our options, the first graph perfectly captures this linear, upward trajectory starting from a positive intercept.