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Linear and Exponential Functions. A population of 200 worms increases at the rate of 5 worms per day. How many worms are there after a fifteen days? Linear.

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Presentation on theme: "Linear and Exponential Functions. A population of 200 worms increases at the rate of 5 worms per day. How many worms are there after a fifteen days? Linear."— Presentation transcript:

1 Linear and Exponential Functions

2 A population of 200 worms increases at the rate of 5 worms per day. How many worms are there after a fifteen days? Linear Function

3 Exponential Growth A population of 200 worms increases at the rate of 5% per day. How many worms are there after fifteen days?

4 Linear Functions Slope m=rise/run Slope m=rise/run Change on y when x increases by 1 Y intercept or value when x=0

5

6 Exercise Find the equation of the line passing through the points (-2,1), (4,5) Point: Slope: Point-Slope form Slope-Y intercept form

7 Exercise 3 A car is 30 kilometers away from a city and start moving at a constant velocity of 50 km/hour. – Generate a table to determine the distance from the city during the first 4 hours, recording the information every half and hour (∆t = 0.5) – Find a mathematical expression that represents the distance of the car from the city as a function of time, in hours. – Use the mathematical expression to determine: How far the car is after 3.5 hours. How long it takes the car to be 135 km away from the city.

8 Exponential Growth Population of Mexico City since 1980 (t=0) Initial Population t=0 Grows at 2.6% per year (100%+2.6% next period) 1.026 = growth factor 1=1+0.026 Grows at 2.6% per year (100%+2.6% next period) 1.026 = growth factor 1=1+0.026

9 Exercise 4 A population can be modeled by the expression – What is the initial population? – What is the growth factor for this population? – What is the rate of growth per year of this population? – What is the rate of growth every four year?

10 Exponential Decay Amount of carbon-14 present after t years. Initial amount (t=0) Decay factor 0.99987 0.99987=1-0.00013 Decay rate 0.013% Decay factor 0.99987 0.99987=1-0.00013 Decay rate 0.013%

11 Dominance Exponential growth dominates any power function as x goes to infinity


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