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Differentiation and Linearization

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Related Rates Equations
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Page 1: Differentiation and Linearization

Related Rates Equations

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How rapidly will the fluid level inside a vertical cylindrical tank drop if we pump the fluid out at the rate of 3000 L/ min?

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1. Draw a picture and name the variables and constants. Use t for time. Assume that all variables are differentiable functions of t.

2. Write down the numerical information (in terms of the symbols you have chosen).

3. Write down what you are asked to find (usually a rate, expressed as a derivative).

4. Write an equation that relates the variables. You may have to combine two or more equations to get a single equation that relates the variable whose rate you want to the variables whose rates you know.

5. Differentiate with respect to t. Then express the rate you want in terms of the rate and variables whose values you know.

6. Evaluate. Use known values to find the unknown rate.

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A hot air balloon rising straight up from a level field is tracked by a range finder 500 ft from the liftoff point. At the moment the range finder’s elevation angle is pi/4 the angle is increasing at the rate of 0.14 rad/min. How fast is the balloon rising at that moment?

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A police cruiser, approaching a right-angled intersection from the north, is chasing a speeding car that has turned the corner and is now moving straight east.

When the cruiser is 0.6 mi north of the intersection and the car is 0.8 mi to the east, the police determine with radar that the distance between them and the car is increasing at 20 mph.

If the cruiser is moving at 60 mph at the instant of measurement, what is the speed of the car?

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Water runs into a conical tank at the rate of 9 c.ft/ min.

The tank stands point down and has a height of 10 ft and a base radius of 5 ft.

How fast is the water level rising when the water is 6 ft deep?

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We introduce new variables dx and dy, called differentials, and define them in a way that makes Leibniz’s notation for the derivative a true ratio.

We use dy to estimate error in measurement and sensitivity of a function to change.

Application of these ideas then provides for a precise proof of the Chain Rule

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