Read Question 2 Then Solve Parts A And B Step By Step

Read Question 2 Then Solve Part A And B Step By Step1 A Helicopter Ar

Read question 2 then solve part A and B step by step. A helicopter arrives at an off-shore oil platform that has reported an oil leak due to a rupture in a pipe. From the helicopter, an observer determines that the leak is forming an oil spill in a circular pattern around the platform. She determines that the radius, (in feet), of the spill is growing as a function of time, (in minutes). The radius at time minutes from the present is given by feet. The volume , (in cubic feet), of oil in the spill is a function of the radius of the spill and is given by .

1. Using the concept of the composition of functions, determine the function that expresses the volume, , of the oil spill as a function of time, . (Indicate exactly how you are using the functions and to get your answer.) Note that the function you end up with, , will allow you to determine the volume of oil in the spill using only the value of time, , as an input. You should simplify your answer , but you may leave it in terms of .

2. Use your result from part (a) to find the time at which the volume of oil in the spill will reach a value of cubic feet. Round your answer to one decimal place.

Paper For Above instruction

In this problem, we analyze the dynamic growth of an oil spill around an offshore platform subjected to a leak due to a pipe rupture. The goal is to model how the volume of oil in the spill evolves over time based on the radius's growth and, subsequently, determine the time at which the volume reaches a specific value. This involves understanding the composition of functions and their application in modeling real-world physical phenomena.

First, the problem provides the radius of the oil spill as a function of time, denoted as r(t), expressed in feet. The radius increases as a function of time, and it’s given explicitly in the problem, likely as some formula (e.g., r(t) = kt, where k is a constant, or a more complex function). The second piece of information is about the volume V of the oil spill, which depends on the radius through a geometric relationship. Since the spill forms a circular pattern, the volume is modeled as a function of the radius, V(r), based on the volume of a cylinder or sphere, depending on the spill's shape. Typically, for a spherical spill, the volume is V(r) = (4/3)πr^3; for a cylindrical spill, V(r) = πr^2h, where h is height, which might be considered constant or variable. For simplicity, assume the spill forms a hemisphere or a sphere, making the volume function V(r) = (4/3)πr^3.

In Part A, the task is to construct a composite function that links volume directly to time, V(t). To accomplish this, we utilize the composition of functions: V(t) = V(r(t)). This involves substituting r(t) into V(r). For example, if r(t) = at + b (linear growth), and V(r) = (4/3)πr^3, then V(t) = (4/3)π(r(t))^3 = (4/3)π[at + b]^3.

By performing this substitution, the volume V becomes explicitly expressed as a function of time, allowing calculation of the volume at any given time by plugging in t. The final step involves simplifying the expression to make it more manageable for interpretation or numerical computation.

In Part B, the goal shifts to solving for the specific time when the volume reaches a given cubic feet amount, say V_target. Using the explicit form of V(t) established in Part A, set V(t) = V_target and solve for t. This will typically involve algebraic manipulation and possibly solving a cubic or polynomial equation. After solving for t, round the answer to one decimal place, providing an estimate of the time when the spill reaches that volume.

Conclusion

This problem demonstrates the practical application of function composition in modeling real-world phenomena—specifically, how a physical attribute like the volume of an oil spill varies with time through intermediary functions describing its radius. It highlights the importance of understanding how different functions compose to form a comprehensive model, and how algebraic techniques are used to extract meaningful times corresponding to specific conditions in environmental management scenarios.

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