LEVELJEE Main
Visualized Solution
The Sigma Insight: Motion in a Straight Line
Analyzing the Setup Imagine an object sliding across a rough surface
It starts with a brisk initial speed of . However, it doesn't maintain this speed. It experiences a deceleration, meaning its acceleration vector points in the exact opposite direction of its motion.
What makes this problem interesting is that the deceleration isn't constant. The rate at which it slows down depends on how fast it's currently moving, given by the differential equation . Our mission is to find out exactly how long it takes for this object to completely come to rest.
The Master Equation To find the stopping time, we need a relationship between velocity () and time ()
We start with our given differential equation:
This equation is separable. We can group all the velocity terms on one side and the time terms on the other. By dividing both sides by and multiplying by , we get:
Now, the equation is perfectly primed for integration.
Setting up the Integral We must integrate both sides with their respective physical limits
At the very beginning, when time , the initial velocity is . We want to find the time when the object comes to rest, which means its final velocity is .
Setting up the definite integral, we write:
Notice how the lower limits ( and ) correspond to the initial state, and the upper limits ( and ) correspond to the final state.
Executing the Calculus Let's evaluate the integrals
On the left side, using the power rule for integration , the integral of becomes , which simplifies to . On the right side, the integral of a constant with respect to is just the constant multiplied by .
Now, we carefully substitute our upper and lower limits:
We know that the square root of is exactly . Substituting this value in:
Final Calculation The negative signs on both sides tell a beautiful physical story: the loss of velocity perfectly balances the negative acceleration over time
Solving for :
The object will take exactly seconds to come to a complete halt. This elegant result shows how calculus seamlessly models dynamic physical systems.
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