query_08

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course Mth 173

10/7 17:30

http://vhcc2.vhcc.edu/dsmith/geninfo/labrynth_created_fall_05/levl1_22/levl2_81/file3_259.htm

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Your solution, attempt at solution.

If you are unable to attempt a solution, give a phrase-by-phrase interpretation of the problem along with a statement of what you do or do not understand about it. This response should be given, based on the work you did in completing the assignment, before you look at the given solution.

008. `query 8

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Question: `q Query class notes #09

What functions f(z) and g(t) express the function 2^(3t-5) as a composite f(g(t))?

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Your solution:

For the composite function 2^(3t-5), we first perform the 3t - 5 calculation, thus the interior function of the composite function f(g(t)) will be 3t - 5, that is

g(t) = 3t - 5, next we calculate the value of 2 ^ ( the value of 3t - 5). Thus the outer function of the composite function is 2^t, thue f(t) = 2^t. Thus the composite function f(g(t)) = 2^(3t - 5), where g(t) = 3t - 5 and f(t) = 2^t.

confidence rating #$&*: 3

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Given Solution:

** g(t) = 3t - 5, f(z) = 2^z.

The z is a 'dummy' variable; when we find f(g(t)), the g(t) is substituted for z and we get f(g(t)) = 2^(g(t)) = 2^(3t-5). **

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Self-critique (if necessary): OK

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Self-critique Rating: OK

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Question: describe in some detail how we can numerically solve a differential equation dy /dx = f(x), given a point (x0, y0) on its solution curve, an interval (x0, xf) and an increment `dx

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Your solution:

Let y’ be dy / dx = f(x) given that a point (x0, y0) on the curve, and the curve to be considered in an interval ( x0 , xf ) and an increment dx

Since we know that the point (x0, y0) lies on the curve, we start with that point. Substituting x0 in the y’ equation we obtain the differential value of the function at x0 which is the slope of the function at that point. Let us consider a dx increment in the value of x. since we know the slope of the function at point x0 and the slope does not majorly change in the dx vicinity of x, we can use the slope to calculate the y coordinate of the point x + dx. Now the run for the slope line is dx and the slope of the line is f’(x0). The rise thus = run * slope = f’(x0) * dx. Knowing the rise of the line and the y co-ordinate of x, we can find the y coordinate of point x + dx = rise + y0.

Using this principle the value of the function for each x value within the (x0, xf) interval can be calculated and thus the differential equation can be solved.

confidence rating #$&*: 3

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Solution: ** You start with a point (x0, y0) on the y vs. x graph.

You evaluate the function y' for x=x0 and y=x0, which gives you a slope for your y vs. x graph.

Using the chosen increment `dx you then multiply `dx by the slope to determine how much change there will be in y, and you use this information to obtain a new approximate point on your y vs. x graph by adding the change in y to y0 and the change in x to x0.

You then repeat the process starting with the new point. **

STUDENT QUESTION:

Could you give me, when you critique this assignment, a problem that I could work out to see how this is actually done?

It seems a bit confusing to me still.

INSTRUCTOR RESPONSE: The Class Notes give additional examples.

If dy/dt = t^2 + y, and we know that y(2) = 6, then we can approximate y(2.1) as follows:

y(2) = 6 so when t = 2 we have

dy/dt = 2^2 + 6 = 10.

Therefore if `dt = .1, we obtain the approximation `dy = (dy/dt) * `dt = 10 * .1 = 1.

This approximation assumes that the rate of change dy/dt remains constant between y = 2 and y = 2.1. This isn't completely accurate, but since the interval is small the error is also small.

We conclude that y(2.1) = y(2) + `dy = 6 + 1 = 7.

Now we approximate y(2.2).

We know that y(2.1) is about 7, so when t = 2.1 we have

dy/dt = 2.1^2 + 7 = 11.41.

So if `dt = .1, we have the approximation `dy = 11.41 * .1 = 1.141.

Once again this is an approximation which assumes an unchanging value of dy/dt for the entire interval. Again the error is small, but of course it is added to (and in part based on) the error in the preceding step.

Our approximation is thus y(2.2) = y(2.1) + `dy = 7 + 1.141 = 8.141.

The process could continue. For example, we could do 7 more steps and obtain an approximation to y(3). This approximation would accumulate errors at every step, so the accuracy would decrease with every step.

We could improve our accuracy by using a smaller interval. For example we could assume intervals of .01 rather than .1.

This would require10 times as many steps, and would accumulate 10 times as many errors; however the errors would tend to be much smaller, and the total error in approximating, say, y(3) using intervals of .01 would be smaller than the total error that would result from intervals of .1.

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Self-critique (if necessary): OK

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Self-critique Rating: OK

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Question:

`q explain why a numerical solution to differential equation is only an approximate solution in most cases

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Your solution:

The numerical solution obtained in the previous question is only an approximate, this is because for each dx interval we used the slope of the line to be the slope at the point x. but the actual slope changes continuously within the interval and even if the average slope is to be considered it is the average of the slope at x and x + dx, which is only if the slope changes at a constant rate, if not the slope at each point is to be considered for the actual function. Calculating the slope at each point on the graph and then constructing the graph is not possible, thus we use the dx approximation. Thus the graph obtained is merely an approximation in most cases and the actual graph can be calculated only by integrating the given differential function within the interval it is to be calculated. The accuracy of the approximation increases with decrease of the dx interval.

confidence rating #$&*: 3

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Given Solution:

** You assume the slope at the initial point, but that slope generally changes at least a bit by the time you get to the second point. So you are assuming a constant slope when the slope actually changes.

If your interval is small enough the change in slope will have a small effect. **

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Self-critique (if necessary): OK

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Self-critique Rating: OK

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Question: `q query Problem 1.4.10 Solve 4 * 3^x = 7 * 5^x

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Your solution:

Problem 1.4.10 submitted under text_08 assigment.

confidence rating #$&*: 3

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Given Solution:

** Taking logs of both sides and applying the laws of logarithms we get

log 4 + x log 3 = log 7 + x log 5. Rearranging we obtain

x log 5 - x log 3 = log 4 - log 7 so that

x ( log 5 - log 3) = log 4 - log 7 and

x = (log 4 - log 7) / (log 5 - log 3).

This can be approximated as -1.095. ** DER

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Self-critique (if necessary): OK

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Self-critique Rating: OK

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Question: `q Problem 1.4.6 simplify 2 ln(e^A) + 3 ln(B^e)

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Your solution:

Given equation y = 2*ln(e^A) + 3 ln(B^e)

We know that ln ( a ^ b ) = b * ln(a)

Thus rearranging the equation y we get

y = 2A *ln(e) + 3e * ln(B)

also ln(e) = log(e) / log(e) = 1

thus y = 2A * 1 + 3e * lnB = 2A + 3e * ln(B)

thus the simplified function is y = 2A + 3e * ln(B)

confidence rating #$&*: 3

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Given Solution:

** Starting with 2 ln (e^A) + 3 ln (B^e) we first use the fact that the natural log and exponential functions are inverses, expressed by the law of logarithms ln(e^x) = x, to get

2 * A + e ln(B^e).

We then use the fact that ln(x^y) = y ln(x), applied to the expression ln(B^e), to get

2 A + 3 e ln(B). **

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Self-critique (if necessary): OK

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Self-critique Rating: OK

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Question: `q query Problem 1.4.27 5th; 1.4.26 4th; 1.4.31 (was 1.7.26) P=174 * .9^t

What is the function when converted to exponential form P = P0 e^(kt)?

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Your solution:

Problem 1.4.27 and problem 1.4.26 submitted through text_08

Problem 1.4.31 according to my textbook is finding the inverse of the function

f(t) = 1 + lnt

Let f(t) be y and t be x

Thus we have y = 1 + ln(x)

In order to find the inverse function we need to find the equation of x in terms of y.

Thus we have y - 1 = ln(x)

Thus x = e ^ (y - 1)

Making y again the dependent variable and x the independent variable we get the function as follows

y = e ^ (x - 1)

Thus the inverse function f^-1(t) = e ^ ( t - 1)

Given function P = 174 * .9^t

We need to convert it into P = P0 e^(kt)

Rearranging the function we get P = P0 (e^k)^t

Comparing the given P equation with the original equation we get

174 * .9^t = P0 * ( e^k)^t

Thus we get P0 = 174 and e^k = .9

Thus we have k = log{ base e}( .9 ) = log(.9) / log(e) = - 0.105 approx

confidence rating #$&*: 3

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Given Solution:

** 174 * .9^t = 174 * e^(kt) if

e^(kt) = .9^t, which is the case if

e^k = .9. Taking the natural log of both sides we get

ln(e^k) = ln(.9) so that

k = ln(.9) = -.105 approx.

So the function is

P = 174 e^(-.105 t). **

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Self-critique (if necessary): OK

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Self-critique Rating: OK

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Question: `q Problem 1.4.27 was 1.4.26 P=174 * .9^t

What is the function when converted to exponential form P = P0 e^(kt)?

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Your solution:

Problem 1.4.27 submitted through text_08 assignment.

confidence rating #$&*: 3

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Given Solution:

If P=174(.9)^t is put in the form P = P0 e^(kt) then P0 = 174 and e^(k t) = .9.t so that e^k = .9.

It follows that

e^k = .9 so that

ln(e^k) = ln(.9) or

k = ln(.9) = .105.

The function is therefore

P=174 e^-(.105 t).

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Self-critique (if necessary): OK

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Self-critique Rating: OK

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Question: `q problem 1.4.40 was 1.4.32 population function for exponential growth.

If 40 meg in 1980 and 56 meg in 1990 give the equation and find the doubling time

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Your solution:

Problem 1.4.32 and problem 1.4.40 submitted through text_08 assignment.

Given 40 meg in 1980 and 56 meg in 1990.

Let t = 0 in the year 1980

Thus t for year 1990 will be t = 10 years

If drawn on the graph the 2 points are (0, 40) and (10, 56)

Let us assume the exponential function y = a * ( b ^ x )

Given that it passes through the point (0, 40) and (10, 56)

40 = a * ( b ^ 0 ) = a * 1 = a

Using the second coordinate (10, 56)

56 = a * ( b ^ 10 ) and a = 40

thus b ^ 10 = 56/40 = 1.4

thus b = 1.4 ^ .1 = 1.034

thus the exponential function is y = 40 * ( 1.034 ^ t )

we need to find the doubling time. The doubling will be 80 meg, thus

80 = 40 * ( 1.034 ^ t ) , 2 = 1.034 ^ t

Thus t = doubling time = log(2) / log(1.034) = 20.731 years is the approximate doubling time.

confidence rating #$&*: 3

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Given Solution:

P=Po b^t is the form of the function.

Initial quantity is 40 * 10^6 so Po = 40 * 10^6. Substituting Po = 40 * 10^6:

P=40*10^6 b^t.

At t = 10 we have P = 56 * 10^6 so we substitute for P and t:

56*10^6=40*10^6 b^10.

We solve for b:

1.4=b^10

b=1.03

Substituting P0 and b into the original form:

P=40*10^6(1.03)^t is our function.

doubling time occurs when the 40^10^6 grows to 80*10^6:

80*10^6=40*10^6(1.03)^t

2=1.03^t

log2=tlog1.03

t=23.4498

10:32:42

STUDENT QUESTION

How should I set up the initial problem????

INSTRUCTOR RESPONSE

The form of the function is P = P0 * b^t, where P0 and b are regarded as unknowns.

To solve for two unknowns you need two equations.

You have the values of P and t at two different points, which allows you to write down two equations, which you then solve simultaneously to get P0 and b.

The two equations would be

40 = P0 * b^0 and

56 = P0 * b^10.

b^0 = 1 so the first equation gives us P0 = 40.

This makes the second equation

56 = 40 * b^10,

which is solved for b in the manner shown above.

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Self-critique (if necessary): OK

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Self-critique Rating: OK

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Question: `q Problem 1.4.50 was 1.4.45 percent of original strontium -- 90 after century; 2.47% annual decay rate.

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Your solution:

Problem 1.4.50 submitted along under text_08 assignment.

Let the exponential function be y = yo * ( e ^ kt )

Where y is the quantity of the strontium-90 after t years and y0 is the original quantity. k is the growth factor which is unknown.

The quantity of strontium decreases by 2.47% in one year.

Thus the quantity of strontium after t = 1 year = (1 - 0.0247) * y0 = 0.9753y0

Thus we have y0 * ( e ^ k ) = y0 * 0.9753

Thus e ^ k = 0.9753, k = log(0.9753) / log(e) = -0.025

Thus the function is y = y0 * (e ^ (-0.025t))

A century is 100 years thus substituting t = 100 we get the amount of strontium after 100 years, thus

y = y0 * ( e ^ ( -2.5 ) ) = y0 * 0.0821

thus the percentage of strontium relative to the original strontium = (y0 * 0.0821) / y0 * 100 = 8.21 %

thus after 100 years 8.21 % of the original strontium will be remaining.

confidence rating #$&*: 3

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Given Solution:

What percent of the original strontium -- 90 would remain after a century?

10:34:19

I did not understand this problem, but this is what I have:

Q=Qoe^(-kt)

Q=Qoe^-.0247t

That`s all that I can do with that problem at this point

** The model is Q(t) = Qo * e^(kt).

You know that you lost .0247 of the quantity in a year. Thus

Q(1) = Qo e^(k* 1) = (1 - .0247) Qo.

So Qo e^(k* 1) = (1 - .0247) Qo.

This equation is easily solved for k.

Then you substitute t = 100 back into the function, using your newly found k. **

STUDENT QUESTION

How would Qo e^(k* 1) = (1 - .0247) Qo???

INSTRUCTOR RESPONSE

Q(1) = Q0 e^(k * 1) is the amount after one year.

The sample loses 2.47% in a year, so the amount after a year is Q0 - .0247 * Q0 = Q0 * ( 1 - .0247).

Setting equal the two expressions for the amount after one year we get

Q0 e^(k * 1) = Q0 * (1 - .0247), so that

e^(k * 1) = (1 - .0247).

STUDENT QUESTION

Like above I am having difficulty setting the problem up to solve, I get how to solve the actual problems in the book

assignment but I am having trouble with the word problems. How should I get the initial equation, I can solve the equation

its just getting it to start that is causing me difficulty

INSTRUCTOR RESPONSE

You need to know that this situation involves a constant decay rate, and that a constant growth or decay rate gives us the form

Q(t) = Q0 * e^(kt).

Since we are looking for the percent change rather than the actual amount, it doesn't matter what the initial amount Q0 is. All that matters is Q(t) / Q0.

So the only important unknown quantity is k.

The given information tells us that when t = 1, 2.47% has been lost, so that Q(1) = (1 - .0247) * Q0 = .9753 Q0.

Q(1) = Q0 * e^(- k * 1 ), so we have two expressions for Q(1). Setting them equal we have

.9753 Q0 = Q0 * e^(-k).

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Self-critique (if necessary): OK

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Self-critique Rating: OK

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