query08

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course mth 173

7/25 1

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:

 

f(z) = 2^z

g(t) = 3t - 5 

 

 

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

 

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):

 

 

I was not asked for a solution or a confidence rating.

 

 

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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:

 

Because as the independent variable changes so will the rate.

for example if you use the rate at t = 1 to approximate antiderivative function at t = 5 you will be off by some amount because the rate between t = 1 and t = 5 is not constant.

 

 

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:

 

 log 4 + xlog3 = log 7 + xlog5

log 4 - log 7 = .22x

x = -1.1

 

 

confidence rating #$&*: OK

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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:

 

 using lne^x = x and lnb^x = xlnb

2 ln(e^A) + 3 ln(B^e) = 2A + 3eln(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:

 P=174 * .9^t

using e^ln(x) = x

.9 = e^ln(.9)

so 174 * e^(-.105t)

 

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:

 

 P=174 * .9^t

using e^ln(x) = x

.9 = e^ln(.9)

so 174 * e^(-.105t)

 

 

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:

 

 56 mill = (40mill)a^10

1.4 = a^10

a = 1.03

so our function is 40*10^6 (1.03^t)

P(20) = 40*10^6 (1.03^20)

P = 72.24 *10^6

for double time:

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

.5 = 1.03^t

log(2)/log1.03 = t

t = 23.45 years

confidence rating #$&*:

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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 and56 = 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:

P(t) = Po(.9753)^t

assuming initial amount is equal to 1

P(100) = 1(.9753)^100

P(100) = .082

.082/1 *100 = 8.2 %

 

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):

 

 I don't understand when I should use the equation Q(t) = Qo * e^(kt) vs. Q(t) = Qo *B^t.????

Also this problem was not in my book (5th edition).

 

 

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Self-critique Rating: 3"

@&

e^(kt) and b^t are completely equivalent.

e^(kt) = (e^k)^t, so b = e^k.

If you know the e*(kt) form you can easily get the b^t form.

If you know b, you can find k for the e^k form. b = e*k, so k = ln(b).

*@

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#*&!

&#This looks good. See my notes. Let me know if you have any questions. &#