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Find the exact location of all the relative and absolute extrema of each function. \(g(t)=3 t^{4}-16 t^{3}+24 t^{2}+1\) with domain \((-\infty,+\infty)\)

Short Answer

Expert verified
The exact locations of the relative minima are at \(t = 0\) and \(t = 2\), and there are no absolute extrema for the function \(g(t) = 3t^4 - 16t^3 + 24t^2 + 1\) on the domain \((-\infty, +\infty)\).

Step by step solution

01

Find the first derivative

To find the critical points, we must first find the first derivative of the function. Differentiate the function with respect to t: \[ g'(t) = \frac{d}{dt}(3t^4 - 16t^3 + 24t^2 + 1) = 12t^3 - 48t^2 + 48t \]
02

Find critical points

To find the critical points, set the first derivative equal to zero and solve for t: \[ 12t^3 - 48t^2 + 48t = 0 \] Factor out a common factor of 12t: \[ 12t(t^2 - 4t + 4) = 0 \] This gives us a quadratic \(t^2 - 4t + 4\) which can further be factored as \((t-2)^2\). So we have: \[ 12t(t - 2)^2 = 0 \] The critical points are: \(t = 0\) and \(t = 2\).
03

Perform the second derivative test

Now we need to determine if these critical points correspond to relative minima, relative maxima, or neither. We will do this by calculating the second derivative of the function and evaluating it at our critical points. Differentiate the first derivative with respect to t: \[ g''(t) = \frac{d^2}{dt^2}(12t^3 - 48t^2 + 48t) = 36t^2 - 96t + 48 \] Now, evaluate the second derivative at the critical points: \[ g''(0) = 36(0)^2 - 96(0) + 48 = 48 > 0 \] Since \(g''(0) > 0\), the point \(t = 0\) corresponds to a relative minimum. \[ g''(2) = 36(2)^2 - 96(2) + 48 = 0 \] Since \(g''(2) = 0\), the second derivative test is inconclusive. We will need to check the sign of the first derivative around t=2. When t=1, g'(1)=-12<0 and when t=3, g'(3)=84>0. Therefore, t=2 corresponds to a relative minimum as well. Now we have found two relative minima at the points t = 0 and t = 2. We will need to check for absolute extrema by analyzing the function's behavior as t goes to positive or negative infinity.
04

Check for absolute extrema

As \(t\) approaches \(+\infty\), the function will be dominated by the term with the highest degree of t, which in this case is the \(3t^4\) term. Since the coefficient is positive, as \(t\) goes to \(+\infty\), the function will also go to \(+\infty\). Similarly, as \(t\) goes to \(-\infty\), the function will also go to \(+\infty\). As a result, there are no absolute maximum or minimum values for the function \(g(t)\) on the given domain of \((-\infty, +\infty)\). In conclusion, the exact locations of the relative minima are at \(t = 0\) and \(t = 2\), and there are no absolute extrema for the function \(g(t) = 3t^4 - 16t^3 + 24t^2 + 1\) on the domain \((-\infty, +\infty)\).

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Key Concepts

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

Critical Points
Critical points are essential to understanding the behavior of a function and are often the first step in identifying relative extrema. A critical point of a function occurs where its derivative is zero or undefined. To find these points, we calculate the first derivative and set it equal to zero, then solve for the variable. In the given exercise, after differentiating the function \(g(t)=3t^{4}-16t^{3}+24t^{2}+1\), we found that \(g'(t)=12t^3 - 48t^2 + 48t\). Factoring out the common terms, we determined the critical points to be at \(t=0\) and \(t=2\).

Understanding critical points is crucial because they may indicate where a function reaches its highest or lowest values locally, known as relative maxima or minima. However, not all critical points correspond to these extrema, which is why further tests, like the second derivative test, are used to analyze these points in more detail.
Second Derivative Test
The second derivative test is a useful tool for determining whether a critical point is a relative minimum, a relative maximum, or a saddle point (a point that is neither). It involves taking the second derivative of the function and evaluating it at the critical points.

If the second derivative at a critical point is positive, \(g''(t)>0\), it implies that the function is concave up at that point, indicating a relative minimum. Conversely, if the second derivative is negative, \(g''(t)<0\), the function is concave down, and the critical point is a relative maximum. And if the second derivative is zero, \(g''(t)=0\), the test is inconclusive. In the exercise, we found that the second derivative at \(t=0\) was positive, indicating a relative minimum at that point. However, at \(t=2\), the second derivative was zero, which led us to examine the signs of the first derivative around that point to conclude that it was also a minimum.
Absolute Extrema
In contrast to relative extrema, which are concerned with local maximums and minimums, absolute extrema refer to the highest and lowest points of a function over its entire domain. To find absolute extrema, one must examine the behavior of the function as it approaches positive and negative infinity, and also evaluate the function's value at the critical points and boundaries of the domain.

In this exercise, because the domain of \(g(t)\) is \((-\text{\infty}, +\text{\infty})\), we look at the behavior of the highest degree term as \(t\) approaches infinity. For \(g(t)=3t^{4}-16t^{3}+24t^{2}+1\), the leading term, \(3t^4\), suggests that the function goes to positive infinity in both directions—toward negative and positive infinity. Therefore, the function does not have an absolute maximum or minimum on the given domain. Not having absolute extrema means that the relative minima found at \(t = 0\) and \(t = 2\) are the lowest points of \(g(t)\) within their local vicinity, but not necessarily the lowest points over the entire range of the function.

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Most popular questions from this chapter

A general linear demand function has the form \(q=m p+b(m\) and \(b\) constants, \(m \neq 0\) ). a. Obtain a formula for the price elasticity of demand at a unit price of \(p\). b. Obtain a formula for the price that maximizes revenue.

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