locate the extrema for the graph of y = f(x). name and classify the extrema of the function.\n13.\nlocate…

locate the extrema for the graph of y = f(x). name and classify the extrema of the function.\n13.\nlocate the extrema for the graph of y = f(x). name and classify the extrema of the function.\n14.\nlocate the extrema for the graph of y = f(x). name and classify the extrema of the function.\n18.\nuse a graphing calculator to graph each function and to determine and classify its extrema.\n20. v(w)=w³ - 7w - 6\nuse a graphing calculator to graph each function and to determine and classify its extrema.\n22. h(x)=x⁴ - 4x² - 2\ndetermine whether the given critical point is the location of a maximum, a minimum, or a point of inflection.\n26. y = x⁵, x = 0\ndetermine whether the given critical point is the location of a maximum, a minimum, or a point of inflection.\n27. y=-x² + 8x - 10, x = 4\ndetermine whether the given critical point is the location of a maximum, a minimum, or a point of inflection.\n30. y = 1/4x⁴ - 2x², x = 2\n34. a function f has a relative maximum at x = 2 and a point of inflection at x=-1. find the critical points of y=-2f(x - 5)-1. describe what happens at each new critical point.\n36. business the carlisle innovation company has created a new product that costs $25 per item to produce. the company has hired a marketing analyst to help it determine a selling price for the product. after collecting and analyzing data relating selling price s to yearly consumer demand d, the analyst estimates demand for the product using the equation d=-200s + 15000.\na. if yearly profit is the difference between total revenue and production costs, determine a selling price s, s≥25, that will maximize the companys yearly profit, p. (hint: p = sd - 25d)\nb. what are the risks of determining a selling price using this method?
Answer
Explanation:
Step1: Recall the derivative - based method for extrema
For a function (y = f(x)), we find its first - derivative (y'=f'(x)). Critical points occur where (f'(x)=0) or (f'(x)) is undefined. Then, we use the second - derivative test (y'' = f''(x)) to classify the critical points. If (f''(c)>0) at a critical point (x = c), then (f(x)) has a local minimum at (x = c). If (f''(c)<0), then (f(x)) has a local maximum at (x = c). If (f''(c)=0), the second - derivative test is inconclusive.
Problem 20: (V(w)=w^{3}-7w - 6)
Step1: Find the first derivative
Differentiate (V(w)) with respect to (w) using the power rule ((x^{n})'=nx^{n - 1}). (V'(w)=3w^{2}-7)
Step2: Find the critical points
Set (V'(w) = 0): [ \begin{align*} 3w^{2}-7&=0\ 3w^{2}&=7\ w^{2}&=\frac{7}{3}\ w&=\pm\sqrt{\frac{7}{3}}\approx\pm1.53 \end{align*} ]
Step3: Find the second derivative
Differentiate (V'(w)) with respect to (w): (V''(w) = 6w)
Step4: Classify the critical points
When (w=\sqrt{\frac{7}{3}}), (V''(\sqrt{\frac{7}{3}})=6\sqrt{\frac{7}{3}}>0), so (V(w)) has a local minimum at (w = \sqrt{\frac{7}{3}}). (V(\sqrt{\frac{7}{3}})=(\sqrt{\frac{7}{3}})^{3}-7\sqrt{\frac{7}{3}}-6=\frac{7}{3}\sqrt{\frac{7}{3}}-7\sqrt{\frac{7}{3}}-6=-\frac{14}{3}\sqrt{\frac{7}{3}}-6\approx - 14.08) When (w=-\sqrt{\frac{7}{3}}), (V''(-\sqrt{\frac{7}{3}})=-6\sqrt{\frac{7}{3}}<0), so (V(w)) has a local maximum at (w=-\sqrt{\frac{7}{3}}). (V(-\sqrt{\frac{7}{3}})=(-\sqrt{\frac{7}{3}})^{3}+7\sqrt{\frac{7}{3}}-6=-\frac{7}{3}\sqrt{\frac{7}{3}} + 7\sqrt{\frac{7}{3}}-6=\frac{14}{3}\sqrt{\frac{7}{3}}-6\approx2.08)
Problem 22: (h(x)=x^{4}-4x^{2}-2)
Step1: Find the first derivative
(h'(x)=4x^{3}-8x = 4x(x^{2}-2)=4x(x-\sqrt{2})(x + \sqrt{2}))
Step2: Find the critical points
Set (h'(x)=0), then (x = 0,x=\sqrt{2},x=-\sqrt{2})
Step3: Find the second derivative
(h''(x)=12x^{2}-8)
Step4: Classify the critical points
When (x = 0), (h''(0)=-8<0), so (h(x)) has a local maximum at (x = 0), and (h(0)=-2) When (x=\sqrt{2}), (h''(\sqrt{2})=12\times2 - 8=16>0), so (h(x)) has a local minimum at (x=\sqrt{2}), and (h(\sqrt{2})=(\sqrt{2})^{4}-4\times(\sqrt{2})^{2}-2=4 - 8 - 2=-6) When (x=-\sqrt{2}), (h''(-\sqrt{2})=12\times2 - 8 = 16>0), so (h(x)) has a local minimum at (x=-\sqrt{2}), and (h(-\sqrt{2})=(\sqrt{2})^{4}-4\times(\sqrt{2})^{2}-2=-6)
Problem 26: (y = x^{5},x = 0)
Step1: Find the first derivative
(y'=5x^{4}) (y'(0)=0)
Step2: Find the second derivative
(y'' = 20x^{3}) (y''(0)=0) The second - derivative test is inconclusive. We can look at the behavior of the function around (x = 0). For (x<0), (y=x^{5}<0) and for (x>0), (y=x^{5}>0), so (x = 0) is a point of inflection.
Problem 27: (y=-x^{2}+8x - 10,x = 4)
Step1: Find the first derivative
(y'=-2x + 8) Set (y'=0), (-2x + 8=0), (x = 4)
Step2: Find the second derivative
(y''=-2<0) So (y) has a local maximum at (x = 4), and (y(4)=-4^{2}+8\times4 - 10=-16 + 32-10 = 6)
Problem 30: (y=\frac{1}{4}x^{4}-2x^{2},x = 2)
Step1: Find the first derivative
(y'=x^{3}-4x=x(x^{2}-4)=x(x - 2)(x + 2))
Step2: Find the second derivative
(y''=3x^{2}-4)
Step3: Evaluate the second derivative at (x = 2)
(y''(2)=3\times2^{2}-4=8>0) So (y) has a local minimum at (x = 2), and (y(2)=\frac{1}{4}\times2^{4}-2\times2^{2}=4 - 8=-4)
Problem 36a:
The revenue function (R(s)=sd=s(-200s + 15000)=-200s^{2}+15000s) The cost function (C(s)=25d=25(-200s + 15000)=-5000s+375000) The profit function (P(s)=R(s)-C(s)=-200s^{2}+15000s-(-5000s + 375000)=-200s^{2}+20000s-375000)
Step1: Find the first derivative of the profit function
(P'(s)=-400s + 20000)
Step2: Find the critical point
Set (P'(s)=0) [ \begin{align*} -400s+20000&=0\ -400s&=-20000\ s&=50 \end{align*} ]
Step3: Find the second derivative of the profit function
(P''(s)=-400<0) So the selling price (s = 50) maximizes the profit.
Problem 36b:
The risks of determining a selling price using this method include:
- The demand function (d=-200s + 15000) is an estimate. In reality, the relationship between price and demand may not be linear.
- There may be unforeseen factors such as competition, changes in consumer preferences, and economic conditions that can affect the actual demand and cost.
- Cost estimates may be inaccurate. There could be fluctuations in raw - material prices, production inefficiencies, etc.
Answer:
For problem 20: Local minimum at (w=\sqrt{\frac{7}{3}}\approx1.53), (V(\sqrt{\frac{7}{3}})\approx - 14.08); local maximum at (w=-\sqrt{\frac{7}{3}}\approx - 1.53), (V(-\sqrt{\frac{7}{3}})\approx2.08) For problem 22: Local maximum at (x = 0), (h(0)=-2); local minima at (x=\pm\sqrt{2}), (h(\pm\sqrt{2})=-6) For problem 26: Point of inflection at (x = 0) For problem 27: Local maximum at (x = 4), (y(4)=6) For problem 30: Local minimum at (x = 2), (y(2)=-4) For problem 36a: Selling price (s = 50) maximizes the profit For problem 36b: Risks include inaccurate demand - price relationship, unforeseen external factors, and inaccurate cost estimates.