hw: p. 369 #23 – 26 (all) #31, 38, 41, 42 pick up one

16
W arm Up 1989 – AB 6 N am e:_________________________ O ilisbeing pum ped continuously from a certain oilw ellatarateproportionalto the am ountofoilleftin the w ell;thatis, ky dt dy , w here y isthe am ountofoilleftin the w ellatany tim e t . Initially there w ere 1,000,000 (10 6 )gallonsofoilin thew ell, and 6 yearslaterthere w ere 500,000 gallonsrem aining. Itw illno longerbeprofitableto pum p oilw hen there are few erthan 50,000 gallonsrem aining. a) W rite an equation for y, the am ountofoilrem aining in thew ellatany tim e t . b) A tw hatrate isthe am ountofoilin the w elldecreasing w hen there are 600,000 gallonsofoilrem aining? c) In ordernotto lose m oney, atw hattim e t should oilno longerbe pum ped from the well? HW: p. 369 #23 – 26 (all) #31, 38, 41, 42 Pick up one

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Page 1: HW: p. 369 #23 – 26 (all) #31, 38, 41, 42 Pick up one

Warm Up 1989 – AB 6

Name: _________________________ Oil is being pumped continuously from a certain oil well at a rate proportional to the

amount of oil left in the well; that is, kydt

dy , where y is the amount of oil left in the

well at any time t. Initially there were 1,000,000 (106) gallons of oil in the well, and 6 years later there were 500,000 gallons remaining. It will no longer be profitable to pump oil when there are fewer than 50,000 gallons remaining.

a) Write an equation for y, the amount of oil remaining in the well at any time t. b) At what rate is the amount of oil in the well decreasing when there are 600,000

gallons of oil remaining? c) In order not to lose money, at what time t should oil no longer be pumped from

the well?

HW:p. 369 #23 – 26 (all)

#31, 38, 41, 42

Pick up one

Page 2: HW: p. 369 #23 – 26 (all) #31, 38, 41, 42 Pick up one

Logistic growth is slowed by population-limiting factors

M = Carrying capacity is the maximum population size that an environment can support

Exponential growth is unlimited growth.

Page 3: HW: p. 369 #23 – 26 (all) #31, 38, 41, 42 Pick up one

We have used the exponential growth equationto represent population growth.

0kty y e

The exponential growth equation occurs when the rate of growth is proportional to the amount present.

If we use P to represent the population, the differential equation becomes: dP

kPdt

The constant k is called the relative growth rate.

/dP dtk

P

Page 4: HW: p. 369 #23 – 26 (all) #31, 38, 41, 42 Pick up one

The population growth model becomes: 0ktP P e

However, real-life populations do not increase forever. There is some limiting factor such as food, living space or waste disposal.

There is a maximum population, or carrying capacity, M.

A more realistic model is the logistic growth model where

growth rate is proportional to both the amount present (P)

and the fraction of the carrying capacity that remains: M P

M

M

P1

Page 5: HW: p. 369 #23 – 26 (all) #31, 38, 41, 42 Pick up one

The equation then becomes:

dP M PkP

dt M

Some books writes it this way:

Logistics Differential Equation

dP kP M P

dt M

We can solve this differential equation to find the logistics growth model.

Page 6: HW: p. 369 #23 – 26 (all) #31, 38, 41, 42 Pick up one

PartialFractions

Logistics Differential Equation

dP kP M P

dt M

1 k

dP dtP M P M

1 A B

P M P P M P

1 A M P BP

1 AM AP BP

1 AM

1A

M

0 AP BP AP BP

A B1

BM

1 1 1 kdP dt

M P M P M

ln lnP M P kt C

lnP

kt CM P

Page 7: HW: p. 369 #23 – 26 (all) #31, 38, 41, 42 Pick up one

Logistics Differential Equation

kt CPe

M P

kt CM Pe

P

1 kt CMe

P

1 kt CMe

P

1 kt C

MP

e

1 C kt

MP

e e

CLet A e

1 kt

MP

Ae

Page 8: HW: p. 369 #23 – 26 (all) #31, 38, 41, 42 Pick up one

Logistics Growth Model

1 kt

MP

Ae

PMkPdt

dP

Logistics Differential Equation

dP kP M P

dt M

Logistics Differential Equation Logistics Growth Model

tMkAe

MP

1

Page 9: HW: p. 369 #23 – 26 (all) #31, 38, 41, 42 Pick up one

Logistic Growth Model

Years

Bears

Page 10: HW: p. 369 #23 – 26 (all) #31, 38, 41, 42 Pick up one

Example:

Logistic Growth Model

Ten grizzly bears were introduced to a national park 10 years ago. There are 23 bears in the park at the present time. The park can support a maximum of 100 bears.

Assuming a logistic growth model, when will the bear population reach 50? 75? 100?

Page 11: HW: p. 369 #23 – 26 (all) #31, 38, 41, 42 Pick up one

Ten grizzly bears were introduced to a national park 10 years ago. There are 23 bears in the park at the present time. The park can support a maximum of 100 bears.

Assuming a logistic growth model, when will the bear population reach 50? 75? 100? (round answers to nearest year)

1 kt

MP

Ae 100M 0 10P 10 23P

Page 12: HW: p. 369 #23 – 26 (all) #31, 38, 41, 42 Pick up one

1 kt

MP

Ae 100M 0 10P 10 23P

0

10010

1 Ae

10010

1 A

10 10 100A

10 90A

9A

At time zero, the population is 10.

100

1 9 ktP

e

Page 13: HW: p. 369 #23 – 26 (all) #31, 38, 41, 42 Pick up one

1 kt

MP

Ae 100M 0 10P 10 23P

After 10 years, the population is 23.

100

1 9 ktP

e

10

10023

1 9 ke

10 1001 9

23ke

10 779

23ke

10 0.371981ke

10 0.988913k

0.098891k

0.1

100

1 9 tP

e

Page 14: HW: p. 369 #23 – 26 (all) #31, 38, 41, 42 Pick up one

0.1

100

1 9 tP

e

Years

BearsWe can graph this equation and use “intersect” to find the solutions.

y=50 at 22 years

y=75 at 33 years

y=100 at 75 years

Page 15: HW: p. 369 #23 – 26 (all) #31, 38, 41, 42 Pick up one

0.1

100

1 9 tP

e

Years

BearsWhat is the equation for the RATE of this logistic growth?

When does the rate of population growth start to decrease?

PMPM

k

dt

dP

When the second derivative is equal to zero AND changes

from positive to negative

PPdt

dP 100

100

1.0

Page 16: HW: p. 369 #23 – 26 (all) #31, 38, 41, 42 Pick up one

PPdt

dP 100

100

1.0

dt

dPP

dt

Pd002.1.

2

2

P002.1.0

50PWhen does the rate of population growth start to decrease?

0.1

100

1 9 tP

e

50

Years

Bears

y=50 at 22 years

Y1

0.1

100

1 9 tP

e

Y2

Y3 50

2001.1.0 PPdt

dP

2001.1.0 YY Slopefield program

Positive on (0, 100)