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For some positive constant \(C\), a patient's temperature change, \(T\), due to a dose, \(D\), of a drug is given by \(T=\left(\frac{C}{2}-\frac{D}{3}\right) D^{2}\). What dosage maximizes the temperature change? The sensitivity of the body to the drug is defined as \(d T / d D\). What dosage maximizes sensitivity?

Short Answer

Expert verified
The dosage that maximizes the temperature change and sensitivity is \( D = C \).

Step by step solution

01

Write Down the Temperature Change Function

Given the temperature change function: \[ T = \left(\frac{C}{2} - \frac{D}{3}\right) D^2 \]
02

Find the Derivative of T with Respect to D

To maximize the temperature change, first find the derivative of the temperature function with respect to dosage, D:\[ \frac{dT}{dD} = \frac{d}{dD} \left( \left(\frac{C}{2} - \frac{D}{3}\right) D^2 \right) \]
03

Apply the Product Rule

Using the product rule, \( \frac{d}{dx} [u(x) v(x)] = u'(x)v(x) + u(x)v'(x) \), let \( u(D) = \left(\frac{C}{2} - \frac{D}{3}\right) \) and \( v(D) = D^2 \).Thus,\[ \frac{d}{dD} \left(\left(\frac{C}{2} - \frac{D}{3}\right)D^2\right) = \left(\frac{d}{dD} \left(\frac{C}{2} - \frac{D}{3}\right) \right) D^2 + \left(\frac{C}{2} - \frac{D}{3}\right) \frac{d}{dD} \left(D^2\right) \]
04

Compute Each Term

Calculate the derivatives:\[ \frac{d}{dD} \left(\frac{C}{2} - \frac{D}{3}\right) = -\frac{1}{3} \]\[ \frac{d}{dD} (D^2) = 2D \]Substitute these back into the product rule result:\[ \frac{dT}{dD} = \left(-\frac{1}{3}\right) D^2 + \left(\frac{C}{2} - \frac{D}{3}\right) 2D \]
05

Simplify the Derivative

Combine and simplify the terms:\[ \frac{dT}{dD} = -\frac{1}{3} D^2 + C D - \frac{2}{3} D^2 \]\[ \frac{dT}{dD} = C D - \frac{3}{3} D^2 \]\[ \frac{dT}{dD} = C D - D^2 \]
06

Set the Derivative Equal to Zero and Solve for D

To find the critical points, set \frac{dT}{dD} equal to zero:\[ C D - D^2 = 0 \]Factor the equation:\[ D (C - D) = 0 \]The solutions are \(D = 0\) and \(D = C\). Since we're looking for a dosage (maximizing), \(D = C\).
07

Confirm Maximization

To confirm whether it is a maximum or not, you can take the second derivative and check its sign. Here, \( \frac{d^2 T}{d D^2} = C - 2D \), and at \( D = C\), \( \frac{d^2 T}{d D^2} = C - 2C = -C < 0 \), indicating a maximum.
08

Find the Sensitivity Function

Now find the sensitivity of the body to the drug, which is defined as \( \frac{dT}{dD} \). Using the simplified expression from earlier:\[ \frac{dT}{dD} = C D - D^2 \]
09

Find the Dosage that Maximizes Sensitivity

As we have already calculated the derivative of temperature change with respect to dosage \( T \): \( \frac{dT}{dD} = C D - D^2 \), setting it to zero:\[ C D - D^2 = 0 \]This is also \( D (C - D) = 0 \), giving us \( D = 0 \) or \( D = C \).Since zero dosage doesn't make sense in context, the dosage that maximizes sensitivity is also \( D = C \).

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

temperature change function
In this problem, we're given a temperature change function, which expresses how a patient's temperature change depends on the dosage of a drug given. The specific function provided is \[ T = \left(\frac{C}{2} - \frac{D}{3}\right) D^2 \] Here, \(T\) represents the temperature change, \(D\) represents the dosage, and \(C\) is a positive constant. This function is essential in determining how varying dosages affect the patient's temperature. By understanding this relationship, we can determine the dosage that maximizes the temperature change.
maximizing functions
To find the dosage that maximizes temperature change, we need to maximize the given function. In calculus, this involves finding the critical points of the function. The critical points are where the function is highest or lowest. These points are found by taking the derivative of the function and setting it to zero. In our case, the temperature change function is \[ T = \left(\frac{C}{2} - \frac{D}{3}\right) D^2 \] We then find the derivative with respect to \(D\), set it to zero, and solve for \(D\). We perform these steps to ensure we're accurately finding the dosage that results in the maximum temperature change.
derivative applications
The derivative is a powerful tool in calculus used to find rates of change. In optimization problems, we use derivatives to find maximum or minimum values of functions. For our temperature change function, we need \[ \frac{dT}{dD} = \frac{d}{dD} \left( \left(\frac{C}{2} - \frac{D}{3}\right) D^2 \right) \] To calculate the derivative, we must apply the product rule, which is used when differentiating products of two functions. Once we have the derivative, setting it to zero and solving for \(D\) yields our critical points. After solving, we determine which point maximizes the temperature change by using the second derivative or examining the behavior of the original function.
product rule in differentiation
The product rule is a fundamental method in differentiation, used when differentiating the product of two functions. The product rule states: \[ \frac{d}{dx} [u(x) v(x)] = u'(x)v(x) + u(x)v'(x) \] For our problem, we let \( u(D) = \left(\frac{C}{2} - \frac{D}{3}\right) \) and \( v(D) = D^2 \). Using the product rule on our temperature function, we get: \[ \frac{d}{dD} \left(\left(\frac{C}{2} - \frac{D}{3}\right)D^2\right) = \left(\frac{d}{dD} \left(\frac{C}{2} - \frac{D}{3}\right) \right) D^2 + \left(\frac{C}{2} - \frac{D}{3}\right) \frac{d}{dD} \left(D^2\right) \] After calculating these derivatives separately and substituting them back, we obtain: \[ \frac{dT}{dD} = -\frac{1}{3} D^2 + \left(\frac{C}{2} - \frac{D}{3}\right) 2D \] Simplifying this expression helps us find the critical points and determine the maximum temperature change.

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