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course Mth 174
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Assignment 20course Mth 174
As I stated in my response, I did not understand what was being asked for in the added problem (old 11.7.10). The book gives examples using graphs of dP/dt v. t, but not dP/dt / P v. t.
??????E??Y??]?????assignment #020020. `query 20
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Cal 2
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Question:
Query problem 11.7.21 was 11.7.6 plot (dP/dt) / P vs. t, where P is a solution to 1000 / P dP/dt = 100 - P with initial population P = 0.
Can P(t) ever exceed 200?
Can P(t) ever drop below 100?
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Your solution:
The limit L = 100 and P0 = 200
We need to get the following equation into the form dP/dt = kP((L - P)/L))
1000/P dP/dt = 100 - P
dP/dt = (P/1000)*(100-P)
Factor out .1 to obtain L = 100 in the denominator,
dP/dt = 0.1P*((100-P)/100)
k = 0.1
A = (L - P0)/P0
A = (100 - 200)/200 = -1/2
P = L/(1+Ae^(-kt)
P =100/[1-(1/2)e^(-0.1t)
The graph is exponentially decreasing from P0 = 200 so P will never be > 0. 100 is the limit so P will never be < 0.
confidence rating #$&*:
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Given Solution:
RESPONSE -->
STUDENT SOLUTION:
1000/P dP/dt = 100 - P
dP/dt = (P/1000)*(100-P)
dP/dt = 0.1P*[(100-P)/100]
Therefore, L = 100; k = 0.1
P(0) = 200
A = (L - P(0))/P(0) = (100 200)/200 = -1/2
P = L/(1+Ae^(-kt) = 100/[1-(1/2)e^(-0.1t)
Graphing this function with P(0) = 200 results in a curve that is concave up,at t=0 intercepts the y-axis (P) at P=200, and has L=100 as a horizontal asymptote. Therefore, P cannot be greater than 200 or less than 100.
INSTRUCTOR SOLUTION
First analyzing the equation qualitatively we draw the following conclusions:
If P is initially 200 then we have at t = 0 the equation
1000 / 200 * dP/dt = 100 - 200 so that
dP/dt = -20,
which tells us that the population initially decreases.
As long as P > 100 the population will continue to decrease, since dP/dt = (100 - P) * (P / 1000) will remain negative as long as P > 100.
As P approaches 100 from 'above'--i.e., from populations greater than 100—the rate of change dP/dt = (100 - P) * P / 1000 approaches 0. So the population cannot decrease to less than 100 if it starts at a value greater than 100.
Symbolic interpretation:
This equation is of the form dP/dt = k P ( 1 - P / L). Its solution is obtained by the process in the text (write in the form dP / [ P ( L - P) ] = k / L dt , integrate the left-hand side by separation of variables, etc.).
The solution is P = L / (1 + A e^(-k t) ) with A = (L - P0) / P0.
The present problem has dP/dt = P/1000 * (100 - P) has L = 100 and k = 1/1000, with P0 = 200, so A = (100 - 200) / 200 = -1/2 and its solution is
P = 100 / (1 + (-1/2) e^(-t/1000) ) = 100 / (1 - 1/2 e^(-t/1000) ).
For t = 0 the denominator is 1/2; as t -> infinity e^(-t/1000) -> 0 and the denominator approaches 1.
Thus P is initially 100 / (1/2) = 200, as we already know, and at t increases the population approaches 100 / 1 = 100, with the denominator 1 - ½ e^(-t/1000) always less than 1 so that the population is always greater than 100.
Specific detailed solution:
We will separate variables and integrate.
1000 dP/dt = P ( 100 - P ) so
dP / (P ( 100 - P ) = dt/1000.
Using partial fractions the integral on the left is .01 ( ln | P | - ln | 100 - P | ).
Accepting that P can't exceed 100, we have | 100 - P | = 100 - P.
So we end up with
ln ( P / (100 - P) ) = .1 t + C so thatP / (100 - P) = A e^(.1 t), where A = e^c: Since c is arbitrary, A is an arbitrary positive number.
If you multiply both sides by 100 - P you get
P = 100 * A e^(.1 t) - P * A e^(.1 t) .
The existing equation can be rearranged so that all P terms are on the left. P can then be factored, and the equation finall solved for P:
P - P * A e^(.1 t) = 100 A e^(.1 t)P ( 1 - A e^(.1 t)) = -100 A e^(.1 t)P = 100 A e^(.1 t) / (1 - A e^(.1 t) ).
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Self-critique (if necessary):
We use the minus symbol in this (P =100/[1-(1/2)e^(-0.1t) ), because it’s exponentially decreasing right?
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Self-critique Rating:
@&
The solution is
P = 100 A e^(.1 t) / (1 - A e^(.1 t) )
You can divide both numerator and denominator by e^(.1 t). If you do you will end up with a multiple of e^(-.1 t) in the denominator.
*@
OK
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Question:
Query problem 11.7.17 plot (dP/dt) / P vs. t for given population data and estimate a and b for 1 / P dP/dt = a - bt; solve and sketch soln. sample pop: 1800 5.3, 1850 23.1, 1900 76, 1950 150, 1990 248.7
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Your solution:
From 1800 and 1850:
dP / dt = (23.1 - 5.3) / (1850 - 1800) = 17.8 / 50 = .36 million which is the average population rate change.
Now we find the average population over the interval:
(5.3 + 23.1) / 2 = 14.2 million
dP/dt Pmid tmid (dP/dt) / Pmid
0.356 14.2 25 0.025070423
1.058 49.55 75 0.02135217
1.48 113 125 0.013097345
2.4675 199.35 170 0.012377728
The slope of the points is approx. -0.0001 and the y-intercept at .0275
From this we get the following equation:
(dP / dt) / P = -.0001 t + .0275
Solve for P:
dP / P = (-.0001 t + .0275) dt
ln | P | = .0275 t - .00005 t^2 + c so that
| P | = e^( .0275 t - .00005 t^2 + c )
A = e^c,
| P | = A e^(.0275 t - .00005 t^2), when A > 0
P = A e^(.0275 t - .00005 t^2), when A > 0
confidence rating #$&*:
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Given Solution:
10:54:48
what are your values of a and b?
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RESPONSE -->
I don't understand what this question is asking for. I plotted P v. t, and I used the calculator to fit a logistic equation to this data:
P = 469.245/[1+46.432e^(-0.021t)]
But this is as far as I got. The items requested in the question don't match what's in the text.
Between 1800 and 1850 we have `dP / `dt = (23.1 - 5.3) / (1850 - 1800) = 17.8 / 50 = .36, approx.., meaning that the average rate of population change was .36 million per year.
During this interval the average population was about (5.3 + 23.1) / 2 = 14.2, meaning 14.2 million. However this is a linear estimate of the average value of a nonlinear function; the actual average is probably closer to 11 million or so, which would be a geometric mean.
The midpoint of the time interval is 1825. So (with the caveat that we are using a linear approximation on an interval where the nonlinearity is significant) we would say that the rate .36 million per year corresponds to population 14.2 at clock time 1825. This gives us (`dP / `dt) / P = .025, meaning .025 million per year per million of population. This could be interpreted as a birth rate or fertility rate of 2.5% (note that a million per year per million of population is the same a the number per year per individual).
Similar calculations for the four intervals defined by the data give us the following, where P_mid and t_mid are the midpoint population and clock time as they would be estimated by a piecewise linear graph (i.e., a trapezoidal graph) of P vs. t:
`dP/`dt P_mid t_mid (`dP/`dt) / P_mid
0.356 14.2 1825 0.025070423
1.058 49.55 1875 0.02135217
1.48 113 1925 0.013097345
2.4675 199.35 1970 0.012377728
Measuring time from the reference point 1800 we obtain
`dP/`dt P_mid t_mid (`dP/`dt) / P_mid
0.356 14.2 25 0.025070423
1.058 49.55 75 0.02135217
1.48 113 125 0.013097345
2.4675 199.35 170 0.012377728
The graph of (`dP / `dt) / P_mid vs. t_mid is not perfectly linear, but the linear best-fit will clearly have vertical intercept near .027 or .028, and a slope near -.0001. In fact the best-fit line is given by Excel as -.0001 t + .0275.
Our population model would therefore be the equation
(dP / dt) / P = -.0001 t + .0275.
This equation could be solved for P by first rearranging it to give us
dP / P = (-.0001 t + .0275) dt. Integrating gives us
ln | P | = .0275 t - .00005 t^2 + c so that
| P | = e^( .0275 t - .00005 t^2 + c ) and, if A = e^c,
| P | = A e^(.0275 t - .00005 t^2) for A > 0.
Since negative population is not relevant, our final solution is just
P = A e^(.0275 t - .00005 t^2) for A > 0.
STUDENT QUESTION
I don't understand what this question is asking for. I plotted P v. t, and I used the calculator to fit a logistic equation to this data:
P = 469.245/[1+46.432e^(-0.021t)]
But this is as far as I got.
INSTRUCTOR RESPONSE
The given solution plots 'dP / P vs. t for the four intervals corresponding to the five given times.
Using the values of P and t at the midpoint of each interval we get the first table.
The second table changes the t scale so it dates from the common reference point 1800. That is, t values are now interpreted as the number of years since 1800.
When we construct a graph of ( `dp / `dt ) / P vs. t, we find that it is a nearly straight line with slope -.0001 and y intercept about .028, which we replace with the slightly more accurate .0275. That is, our graph is well fit by the straight line y = -.0001 t + .0275. Here, y is (dP/dt) / P, so our straight line represents the equation
(dP/dt) / P = -.0001 t + .0275 or1 / P dP/dt = -.0001 t + .0275. Separating variables we getdP / P = (-.0001 t + .0275) dt. Integrating and simplifying we get the model
P = A e^(.0275 t - .00005 t^2).
We could still evaluate A by plugging in a set of known values of P and t. For example, if we plug in the 1990 values we get
248 = A e^(.0275 * 190 - .00005 * 190^2) andA = 248 / e^(.0275 * 190 - .00005 * 190^2) = 8.11.
Our function would therefore become
P = 8.11 * e^(.0275 * t - .00005 * t^2).
Evaluating this function for t = 0, 50, 100 and 150 we get populations of about 8, 28, 77 and 162 million, close to the given populations for 1800, 1850, 1900 and 1950.
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10:55:00
What are the coordinates of your graph points corresponding to years 1800, 1850, 1900, 1950 and 1990?
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RESPONSE -->
See previous response.
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10:55:09
According to your model when will the U.S. population be a maximum, if ever?
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RESPONSE -->
See previous response.
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10:55:17
Give your solution to the differential equation and describe your sketch of the solution.
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RESPONSE -->
See previous response.
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Self-critique (if necessary):
How did you find the vertical intercept?
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Self-critique Rating:
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The vertical intercept of
P = A e^(.0275 t - .00005 t^2)
occurs when t = 0. The vertical intercept is therefore A.
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OK
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Question:
Query 11.8.6 (was page 570 #10) robins, worms, w=2, r=2 init
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Your solution:
The max population of robins is approx. 2,500 and min is approx. 400. There will be approx. 1,000,000 worms.
confidence rating #$&*:
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Given Solution:
what are your estimates of the maximum and minimum robin populations, and what are the corresponding worm populations?
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RESPONSE -->
Using the slope field to create the closed curve, the maximum robin population is approximately 2,500 with a corresponding worm population of approximately 1,000,000. The minimum robin population is approximately 400 with a corresponding worm population also approximately 1,000,000. Since dr/dt = -r +wr, with w(0)=2 and r(0) = 2, dr/dt = -2 + (2)(2) = +2. Therefore, r is intially increasing and the population point is moving counterclockwise around the closed curve.
Good. For reference:
** dw/dt = w - wr and dr/dt = -r + wr so that dr/dw = r(w-1) / w(1-r).
For r = 0 (the horizontal axis) this gives us dr/dw = 0, so slope lines along the horizontal axis are horizontal.
As w -> 0 we see that dr/dw -> -infinity so the slope lines are vertical along the vertical axis, with the understanding that the vertical slopes are vertical downward.
As we approach r = 1, w = 1 we see that dr/dw approaches the form 0 / 0 so that the slope near (1, 1) will depend very sensitively on whether we are slightly to the right, slightly to the left, slightly above or slightly below (1, 1). This results in the 'circling' behavior we observe around this point.
Looking at the slope field starting at (3, 1) we see that we move upward and to the left, with the worm population decreasing and the robin population increasing. This continues but with less and less upward movement and more and more leftward movement, indicating a slowing of the growth of the robin population while the worm population continues to decrease quickly.
After awhile the graph is moving directly to the left, perhaps near the point (1.5, 2.5), just after which it begins moving downward and to the left, indicating a decreasing robin population as the worm population continues to be depleted. The movement becomes more and more downward and less and less to the left, indicating that as the robin population declines the worm population is not being decimated as quickly as before.
The graph eventually reaches a vertical downward direction, perhaps around the point (.3, 1), after which it continues moving downward but also to the right. This indicates an increasing worm population as the robins continue to decline.
The graph descends less and less rapidly as the increasing worm population begins to provide food for the robins, who stop dying off as quickly. The graph reaches its 'low point' around maybe (1, .2) before it begins to move upward and to the right once more. This indicates that while the robin population is still small enough to permit an increase in the worm population,there are enough worms to feed a growing robin population.
This increase in both populations continues until the graph returns to the initial point (3, 1), at which point there are enough robins to again begindepleting the worm population and the cycle begins to repeat. **
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11:57:08
Explain, if you have not our a done so, how used to given slope field to obtain your estimates.
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Self-critique (if necessary):
OK
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Self-critique Rating:
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Self-critique (if necessary):
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Self-critique rating:
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#*&!
&#Good work. See my notes and let me know if you have questions. &#