Car Stops: Analyzing Velocity Function
Hey guys, ever wondered how we can figure out exactly when a car comes to a complete stop just by looking at its velocity function? It sounds like some sci-fi stuff, but it's actually a super cool application of calculus that we can dive into. We're talking about a car's motion being described by the equation , where is the velocity in feet per second and is the time in seconds, for a duration from to . The big question on everyone's mind is: when does this car actually hit the brakes and come to a complete standstill? To a mathematician or an engineer, this is like asking for a specific point in time where a certain condition is met. In the realm of physics and math, a 'complete stop' means one thing and one thing only: the velocity is zero. Yep, that’s it! So, our mission, should we choose to accept it, is to find the time(s) within our given interval where . This isn't just about solving an equation; it's about understanding the dynamics of motion. We need to find the roots of the quadratic equation . This equation represents the points where the car's speed is precisely zero. It’s fascinating how a simple mathematical expression can model such a real-world phenomenon. We’ll be using our trusty quadratic formula, or perhaps factoring if we're lucky, to pinpoint these crucial moments. So, grab your calculators, folks, because we're about to crunch some numbers and uncover the exact seconds when our hypothetical car takes a breather. This whole process highlights the power of mathematics to describe and predict the behavior of the physical world around us. It’s not just abstract theories; it’s practical problem-solving at its finest, and we’re going to break it down step-by-step.
Now, let's get down to business and solve this equation, shall we? The core of our problem is to find the values of for which the velocity is equal to zero. Our velocity function is given by . So, we need to solve the equation: . This is a standard quadratic equation, and we can tackle it using a few methods. The most reliable one, especially when factoring might not be obvious, is the quadratic formula. Remember this beauty? For an equation of the form , the solutions for are given by x = rac{-b pmm ext{sqrt}(b^2 - 4ac)}{2a}. In our case, , , and . Let's plug these values into the formula. First, let's calculate the discriminant, which is the part under the square root: . This will tell us how many real solutions we have. So, we have . That's , which simplifies to . The discriminant is . Since the discriminant is positive (), we know there are two distinct real solutions for . This means the car comes to a complete stop at two different points in time within the broader context of its motion, though we are limited to the interval . Now, let's find those actual values of . Using the quadratic formula: t = rac{-(-8) pmm ext{sqrt}(16)}{2(0.5)}. This simplifies to t = rac{8 pmm 4}{1}. So, our two possible times are: t_1 = rac{8 + 4}{1} = 12 seconds, and t_2 = rac{8 - 4}{1} = 4 seconds. These are the two moments when the car's velocity is mathematically zero. It's crucial to remember that our model is only valid for the time interval 0 km 8 seconds. Therefore, we need to check if our solutions fall within this specified range. Looking at our results, seconds is outside our interval of interest, so we discard it. However, seconds is within the interval . This means that according to our model, the car comes to a complete stop at exactly 4 seconds.
So, what does this all mean in the grand scheme of things? We've taken a quadratic function representing a car's velocity and found the specific point in time, within a defined operational window, where that velocity hits zero. The math led us to two potential stopping times: 4 seconds and 12 seconds. But here's the kicker, guys: the problem gives us a specific timeframe, 0 km 8 seconds. This constraint is super important. It's like saying the car's journey or the data collection only lasts for 8 seconds. Anything that happens outside that window is irrelevant to our specific analysis. So, when we compare our mathematical solutions to this real-world constraint, we see that seconds is just too late. It falls outside the 8-second observation period. The only valid time when the car comes to a complete stop, according to this model and within the given constraints, is at seconds. This highlights how crucial it is to pay attention to the domain or the interval specified in a problem. It's not just about solving the pure math equation; it's about applying that solution back to the context of the problem. Imagine you're tracking a race car, and your sensors only work for 8 seconds. If the car stops at 12 seconds, you wouldn't even record it! So, that 4-second mark is our definitive answer. It’s the moment the car’s momentum ceases within the timeframe we care about. It’s pretty neat how math helps us filter out information that doesn’t fit our scenario. This process teaches us to be critical thinkers, not just number crunchers. We look at the function, we solve for the condition (velocity = 0), and then we check if that solution makes sense within the practical boundaries set by the problem itself. Pretty straightforward when you break it down, right? This is just one example of how calculus and algebra work together to solve real-world puzzles, making them incredibly powerful tools.
Let's recap what we've done here, team. We started with a mathematical model for a car's velocity: , valid for 0 km 8 seconds. Our goal was to find out when the car comes to a complete stop. In physics and math terms, a complete stop means the velocity is zero. So, we set and solved the resulting quadratic equation: . Using the quadratic formula, we found two potential solutions for : seconds and seconds. The next, and arguably most important, step was to consider the given time interval, which is 0 km 8 seconds. This interval acts as our **