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Antidifferentiation Applications

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    (1) Finding the demand function given the marginal revenue. A manufacturer estimates that the marginal revenue of a certain commodity is antidifferentiation applications _gr_1.gif] when antidifferentiation applications _gr_2.gif] units are produced. Find the demand function antidifferentiation applications _gr_3.gif]
    
    (2) State the Area as an Antiderivative theorem.
    
    (3) Find the area under the parabola antidifferentiation applications _gr_4.gif] over the interval antidifferentiation applications _gr_5.gif]
    
    (4) A ball is thrown upward with a speed of 48 ft/s from the edge of a cliff 432 feet above the ground. Find its height above the ground antidifferentiation applications _gr_6.gif] seconds later. When does it reach its maximum height? When does it hit the ground?
    

Example (Antidifferentiation Application) Finding the demand function given the marginal revenue. A manufacturer estimates that the marginal revenue of a certain commodity is antidifferentiation applications _gr_7.gif] when antidifferentiation applications _gr_8.gif] units are produced. Find the demand function antidifferentiation applications _gr_9.gif]

    Solution. Since,
    
antidifferentiation applications _gr_10.gif]

and because antidifferentiation applications _gr_11.gif] where antidifferentiation applications _gr_12.gif] is the demand function, we must have antidifferentiation applications _gr_13.gif] so that antidifferentiation applications _gr_14.gif] yielding antidifferentiation applications _gr_15.gif] and

antidifferentiation applications _gr_16.gif]

antidifferentiation applications _gr_17.gif]

Theorem (Area as an Antiderivative)  If antidifferentiation applications _gr_18.gif] is a continuous function such that antidifferentiation applications _gr_19.gif] for all antidifferentiation applications _gr_20.gif] on the closed interval antidifferentiation applications _gr_21.gif] then the area bounded by the curve antidifferentiation applications _gr_22.gif] the antidifferentiation applications _gr_23.gif]-axis, and the vertical lines antidifferentiation applications _gr_24.gif] and antidifferentiation applications _gr_25.gif] viewed as a function of antidifferentiation applications _gr_26.gif] is an antiderivative of antidifferentiation applications _gr_27.gif] on antidifferentiation applications _gr_28.gif]

Example (Area as an Antiderivative) Find the area under the parabola antidifferentiation applications _gr_29.gif] over the interval antidifferentiation applications _gr_30.gif]

    Solution. The area function is given by antidifferentiation applications _gr_31.gif] and we can determine antidifferentiation applications _gr_32.gif] using antidifferentiation applications _gr_33.gif] and so antidifferentiation applications _gr_34.gif] which means antidifferentiation applications _gr_35.gif] Therefore, the area under the curve from antidifferentiation applications _gr_36.gif] is antidifferentiation applications _gr_37.gif] antidifferentiation applications _gr_38.gif]

Example (Antidifferentiation Application) A ball is thrown upward with a speed of 48 ft/s from the edge of a cliff 432 feet above the ground. Find its height above the ground antidifferentiation applications _gr_39.gif] seconds later. When does it reach its maximum height? When does it hit the ground?

    Solution. The motion is vertical and we choose the positive direction to be upward. At time antidifferentiation applications _gr_40.gif] the distance above the ground is antidifferentiation applications _gr_41.gif] and the velocity antidifferentiation applications _gr_42.gif] is decreasing. Therefore the acceleration must be negative antidifferentiation applications _gr_43.gif] Taking the antiderivative, antidifferentiation applications _gr_44.gif] To determine antidifferentiation applications _gr_45.gif] we use the given information of antidifferentiation applications _gr_46.gif] Thus, antidifferentiation applications _gr_47.gif] and so antidifferentiation applications _gr_48.gif] and antidifferentiation applications _gr_49.gif] Therefore, the ball reaches it maximum height at antidifferentiation applications _gr_50.gif] which means antidifferentiation applications _gr_51.gif] Since antidifferentiation applications _gr_52.gif] and using antidifferentiation applications _gr_53.gif] we find that antidifferentiation applications _gr_54.gif] and so antidifferentiation applications _gr_55.gif] Therefore the height function is antidifferentiation applications _gr_56.gif] and so the ball hits the ground when antidifferentiation applications _gr_57.gif] meaning antidifferentiation applications _gr_58.gif] by using the quadratic formula. antidifferentiation applications _gr_59.gif]

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Antidifferentiation Applications
Published by Library of Math -- Online math organized by subject into topics.
Written by Smith, David A.
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