Pollution begins to enter a lake at time t = 0 at a rate (in gallons per hour) given by the formula f(t), where t is the time (in hours). At the same time, a pollution filter begins to remove the pollution at a rate g(t) as long as the pollution remains in the lake. f(t) = 11 (1 – e -0.5'), g(t) = 0.5t a. How much pollution is in the lake after 12 hours? The amount of pollution that remains in the lake after 12 hours is 74.05 gallons. (Do not round until the final answer. Then round to the nearest hundredth as needed.) b. Use a graphing calculator to find the time after t 0 when the rate that pollution enters the lake equals the rate the pollution is removed. The rate of pollution entering equals the rate of the pollution being removed after (Round to the nearest whole number as needed.) hours.
Minimization
In mathematics, traditional optimization problems are typically expressed in terms of minimization. When we talk about minimizing or maximizing a function, we refer to the maximum and minimum possible values of that function. This can be expressed in terms of global or local range. The definition of minimization in the thesaurus is the process of reducing something to a small amount, value, or position. Minimization (noun) is an instance of belittling or disparagement.
Maxima and Minima
The extreme points of a function are the maximum and the minimum points of the function. A maximum is attained when the function takes the maximum value and a minimum is attained when the function takes the minimum value.
Derivatives
A derivative means a change. Geometrically it can be represented as a line with some steepness. Imagine climbing a mountain which is very steep and 500 meters high. Is it easier to climb? Definitely not! Suppose walking on the road for 500 meters. Which one would be easier? Walking on the road would be much easier than climbing a mountain.
Concavity
In calculus, concavity is a descriptor of mathematics that tells about the shape of the graph. It is the parameter that helps to estimate the maximum and minimum value of any of the functions and the concave nature using the graphical method. We use the first derivative test and second derivative test to understand the concave behavior of the function.
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