The Symphony of Population Dynamics
A Journey into Differential Equations
My dear student, welcome to the fascinating world of population dynamics. Today, we are not just solving a differential equation; we are telling the story of a species.
We are looking at a system that is changing, evolving, and ultimately, fading away. When you look at an equation like dtdP=0.5P−450, do not just see symbols. See a living, breathing process.
This equation tells us that the rate at which the population changes is tied directly to its current size. This is the essence of modeling—capturing the heartbeat of reality in the language of mathematics.
Phase 1
The Anatomy of the Equation
We start with the given differential equation: dtdP=0.5P−450. Our goal is to find the time t when the population P hits zero.
Before we rush into the calculus, let us pause and look at the structure. If we factor out the 0.5, we get:
This is a profound moment. It reveals the 'equilibrium' of the system. If the population were exactly 900, the rate of change would be zero, and the population would be stable.
However, our initial population is P(0)=850. Since 850<900, the term (P−900) is negative. This means dtdP is negative, and the population is destined to decline. We are witnessing a countdown.
Phase 2
The Art of Separation
In the JEE Advanced arena, the most powerful tool for first-order differential equations is the method of separation of variables. We want to isolate the 'P-world' from the 't-world'.
We take our equation dtdP=0.5(P−900) and perform a mathematical divorce. We move all terms involving P to the left and all terms involving t to the right:
Notice the elegance here. We have successfully separated the variables. The left side is now a function of P alone, and the right side is a function of t alone. This is the gateway to integration.
Phase 3
The Integration
Now, we apply the integral operator to both sides. We are essentially summing up all the infinitesimal changes to find the total behavior of the system:
On the left, we have the standard integral of the form ∫u1du, which yields ln∣u∣. So, we get ln∣P−900∣.
On the right, the integral of a constant 0.5 with respect to t is simply 0.5t. We must add the constant of integration, C, which acts as the 'memory' of our system:
Phase 4
The Fingerprint of the System
We know that at t=0, the population P=850. This is our initial condition, our anchor in time. We substitute these values into our equation to find C:
With C found, our equation is now fully defined. It is no longer a general solution; it is the specific solution for this exact population:
Phase 5
The Final Countdown
We are at the finish line. The problem asks for the time t when the population becomes zero. So, we set P=0:
Now, we isolate t. We bring the ln50 to the left side:
Using the properties of logarithms, specifically lnA−lnB=ln(BA), we simplify this expression:
Since 0.5 is 21, multiplying both sides by 2 gives us the final answer:
And there it is. The population reaches zero at exactly t=2ln18. You have navigated the differential equation, respected the initial conditions, and utilized the properties of logarithms to reach the truth.