Suppose that a patient is injected with antibiotics to treat, say, a sinus infection. The antibiotics circulate in the blood, slowly diffusing into the sinus cavity while simultaneously being filtered out of the blood by the liver. Following the injection, the antibiotic concentration in the body decays with time. Previously, we modelled such decay using a single decaying exponential function of the form e-at; this is called a single-compartment model, and essentially assumes a homogeneous distribution of the drug in the body. A more realistic "multi-compartment" description takes into account that the distribution of the drug to different parts of the body, and also elimination/metabolic breakdown, may occur at different rates (for example, drug is distributed rapidly in the bloodstream and to highly perfused organs such as the liver and kidneys; but then diffuses to other body tissues and organs more slowly). For antibiotic treatment of a sinus infection, under certain conditions the concentration c(t) of the antibiotic in the sinus cavity, as a function of time t since the injection, is given by a function of the form -at c(t) = B-a (for given positive constants a, 3 and C). where ß > a > 0
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(a) Find the time t = tM at which c(t) has its maximum value, as a function of α and β.
(b) At what time does an inflection point occur? Explain the significance of the inflection point
for the graph of the concentration function c(t).
(c) Now consider the particular parameter values C = 2, α = 0.3 and β = 0.5; that is,
c(t) = 10(e^−0.3t − e^−0.5t),
where time t is measured in hours, and concentration c(t) is in µg/mL.
• What are the maximum and minimum concentrations of the antibiotic during the first 18
hours after injection?
• Use the second derivative test to show that that the internal extremum at some time tM
with 0 < tM < 12 is indeed a maximum.
• Also find the time ti at which the inflection point occurs.
(d) Sketch the graph of c(t) for t ∈ [0, 18]. Indicate the maximum value, minimum value and
inflection point on your graph.
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