Query 7

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course MTH 174

7/2 3:30

Question: Section 7.6 Problem 6

approx using n=10 is 2.346; exact is 4.0. What is n = 30 approximation if original approx used LEFT, TRAP, SIMP?

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Your solution:

2.346 - 4 = -1.654

Left: (10/30) * -1.654 = -.551; -.551 + 4 = 3.449

Trap: (10/30)^2 * -1.654 = -.184; -.184 + 4 = 3.816

Simp: (10/30)^4 * -1.654 = -.020; -.020 + 4 = 3.98

confidence rating #$&*:3

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Given Solution:

LEFT and RIGHT approach the exact value in proportion to the number of steps used.

MID and TRAP approach the exact value in proportion to the square of the number of steps used.

SIMP approachs the exact value in proportion to the fourth power of the number of steps used.

Using these principles we can work out this problem as follows:

** The original 10-step estimate is 2.346, which differs from the actual value 4.000 by -1.654.

If the original estimate was done by LEFT then the error is inversely proportional to the number of steps and the n = 30 error is (10/30) * -1.654 = -.551,

approximately. So the estimate for n = 30 would be -.551 + 4.000 = 3.449.

If the original estimate was done by TRAP then the error is inversely proportional to the square of the number of steps and the n = 30 error is (10/30)^2 * -1.654 =

-.184, approximately. So the estimate for n = 30 would be -.184 + 4.000 = 3.816.

If the original estimate was done by SIMP then the error is inversely proportional to the fourth power of the number of steps and the n = 30 error is (10/30)^4 * -

1.654 = -.020, approximately. So the estimate for n = 30 would be -.02 + 4.000 = 3.98. **

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Question: Section 7.6 Problem 5

problem 7.6.5 (previously problem 7.6.10) If TRAP(10) = 12.676 and TRAP(30) = 10.420, estimate the actual value of the integral. **** What is your estimate of the

actual value and how did you get it?

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Your solution:

10.420 - 12.676 = -2.256

(10/30)^2 = 1/9; 9/8 * trap(10) = 9/8 * -2.256 = -2.538; -2.538 + 12.676 = 10.138

confidence rating #$&*:3

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Given Solution:

** The easiest way to begin to visualize this is to think of 12.676 and 10.420 on a number line. A sketch might help. 10.420 is a better approximation that 12.676,

and is to the left of 12.676. 10.420, having been obtained based on 30 intervals, is expected to be much closer to the actual value than 12.676. The concavity of the

graph determines whether improved approximations increase or decrease, and since the improved approximation decreased we expect subsequent approximations to decrease.

So we expect the actual value to be still a little ways to the left of 10.420 on the number line. Our reasoning here will, in fact, predict that the actual value of

the integral is around 10.138.

To quantify the relative accuracy of the approximations we use the inverse square proportionality of the error with the number of steps.

The error for trap(30) is approximately (10/30)^2 = 1/9 the error for TRAP(10). So the difference 10.420 - 12.676 = -2.256 between TRAP(10) and TRAP(30) is

approximately 8/9 of the error of TRAP(10).

(If the above reasoning isn't clear, let x = error for trap(10). Then x/9 is the expected error for trap(30). The difference between the error for trap(10) and trap

(30) is x - x/9 = 9 x / 9 - x / 9 = 8 x / 9).

It follows that the error for TRAP(10) is 9/8 as great as the difference between trap(30) and trap(10). So we expect that the error for trap(10) should be about 9/8 *

-2.256 = -2.538.

Our best estimate of the integral is therefore -2.538 + 12.676 = 10.138. **

Ok I notice that I multiplied by 8/9 and you multiplied by 9/8 where did this come from?????? And why???

If you know 8/9 of a number (as in this case, where you know 8/9 of the difference between the first approximation and the accurate value), then to get that number

you take 9/8 of the number you know (so you take 9/8 of the difference between the n = 10 approximation and the n = 30 approximation).

In other words, (trap(30) - trap(10)) is 8/9 * (accurate value - trap(10)), so (accurate value - trap(10)) = 9/8 * (trap(30) - trap(10)).

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Question: Section 7.7 Problem 2

problem 7.7.2 (previously 7.7.12) integrate 1 / (u^2-16) from 0 to 4 if convergent

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Your solution:

1 / (u^2-16) = 1 / [(u+4)(u-4)]

1/8 < 1/(u+4) < 1/4

1/8 int(1 / (u-4), u, 0, 4) < int(1 / (u^2-4), u, 0, 4) < 1/4 int(1 / (u-4), u, 0, 4)

ln(x-4) -> -infinity as x->4, Integral diverges

confidence rating #$&*:3

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Given Solution:

1 / (u^2-16) = 1 / [(u+4)(u-4)] . Since for 0 < x < 4 we have 1/8 < 1 / (u+4) < 1/4, the integrand is at most 1/4 times 1/(u-4) and at least 1/8 of this quantity, so

the original integral is at most 1/4 as great as the integral of 1 / (u-4) and at least 1/8 as great. That is,

1/8 int(1 / (u-4), u, 0, 4) < int(1 / (u^2-4), u, 0, 4) < 1/4 int(1 / (u-4), u, 0, 4).

Thus if the integral of 1 / (u-4) converges or diverges, the original integral does the same. An antiderivative of 1 / (u-4) is ln | u-4 |, which is just ln(4) at the

limit u=0 of the integral but which is undefined at the limit u = 4.

We must therefore take the limit of the integral of 1/(u-4) from u=0 to u=x, as x -> 4.

The integral of 1 / (u-4) from 0 to x is equal to ln(x-4) - ln(4). As x -> 4, ln(x - 4) approaches -infinity,

Thus the integral diverges.

STUDENT QUESTION

I am lost from the start of this problem I see where the integrand is (1/4) at its most but how can it be 1/8 at its least. Can you show me a step by step as to how

we should have found this.

INSTRUCTOR RESPONSE

Since

1 / ( (u + 4) ( u - 4) ) = (1 / (u + 4) ) * ( 1 / (u - 4) ),

and since on this interval

1/8 < 1 / (u + 4) < 1/4

it follows that

1/8 | 1 / (u - 4) | < |1 / (u + 4) ) * ( 1 / (u - 4) | < 1/4 | 1 / (u - 4) |

and therefore that on this interval

1/8 integral | 1 / (u - 4) du | < integral | 1 / ( (u + 4) ( u - 4) ) du | < 1/4 integral | 1 / (u - 4) du |.

Since | 1 / (u - 4) | -> infinity as u -> 4, we proceed as indicated to show that this integral approaches -infinity.

Our previous inequality

1/8 integral | 1 / (u - 4) du | < integral | 1 / ( (u + 4) ( u - 4) ) du | < 1/4 integral | 1 / (u - 4) du |

thereby 'sandwiches' the magnitude of the desired integral between two values, both of which approach infinity.

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Question: Section 7.7 Problem 7

problem 7.7.7 (previously 7.7.30) rate of infection r = 1000 t e^(-.5t)

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Your solution:

dr/dt = 1000*e^(-.5t) - 500t*e^(-.5t) = 0, 1000 - 500t = 0, t = 2 is a relative maximum

r'' = e^(-.5t) [ -1000 + 250t ] = 0, t = 4 is a point of inflection; concave down [-infinity, 4], concave up [4, infinity]

Rate of infection is greatest at t = 2

F(t) = 1000 * int (t*e^(-.5t)) = 1000[-2t*e^(-.5t) - int(e^(-.5t))] = 1000*[-2t*e^(-.5t) - 4*e^(-.5t)]

F(x) - F(0) = 1000*[-2t*e^(-.5x) - 4*e^(-.5x) ] - 1000[-2*0*e^(-.5*0) - 4*e^(-.5*0)] = 1000e^-(.5x) [-2t - 4] - (-4000)

e^-(.5x)[-2t - 4] -> 0 as x-> infinity; -(-4000) = 4000

confidence rating #$&*:3

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Given Solution:

** First graph the function using standard graphing techniques from first-semester calculus:

This graph increases at first as you move to the right from t = 0. However e^(-.5 t) eventually approaches zero much faster than t increases so the graph has an

asymptote at the positive t axis. So it increases for small positive t but eventually returns almost to the t axis, and it can't be strictly increasing. Its

concavity changes from downward (negative) for small positive t to upward for larger t; the point at which the concavity changes is important.

We use the standard technique from first-semester calculus to find the point at which this function maximizes.

The first derivative is dr/dt = 1000 e^(-.5 t) - 500 t e^(-.5 t).

Setting this derivative equal to 0 we get

1000 e^(-.5 t) - 500 t e^(-.5 t) = 0;

dividing through by e^-.5 t we get the equation 1000 - 500 t = 0, which is easily solved to obtain t = 2. A first-or second-derivative test confirms that the t = 2

graph point is a relative maximum.

Concavity is determined by the second derivative r'' = e^(-.5 t) [ -1000 + 250 t ], which is 0 when t = 4. This is a point of inflection because the second

derivative changes from negative to positive at this point. So the function is concave downward on the interval (-infinity, 4) and concave upward on (4, infinity).

The first derivative has a critical point where the second derivative is zero. This occurs at x = 4, which was identified in the preceding paragraph as the point of

inflection for the original function. Since the second derivative goes from negative to positive, this point is a minimum of the first derivative. The first

derivative is a decreasing function from t = 0 to t = 4 (2d derivative is negative) and is then an increasing function with asymptote y = 0, the x axis, which it

approaches through negative values. Its maximum value for t >= 0 is therefore at t = 0. **

People are getting sick the fastest when the rate of infection is highest. This occurs at the relative maximum of the rate function, which was found above to occur at

t = 2. Thus people are getting sick the fastest 2 days after the epidemic begins.

To find how many people get sick during a time interval, you integrate the rate function over that interval. In this case the interval doesn't end; so you need to

integrate the rate function r = 1000 t e^(-.5t) from t = 0 until forever, i.e., from t = 0 to t = infinity.

An antiderivative of the function is F(t) = 1000 int ( t e^(-.5 t)) = 1000 [ -2 t e^(-.5t) - int ( e^(-.5 t) ) ] = 1000 [ -2 t e^(-.5 t) - 4 e^(-.5 t) ].

Integrating from 0 to x gives F(x) - F(0) = 1000 [ -2 t e^(-.5 x) - 4 e^(-.5 x) ] - 1000 [ -2 * 0 e^(-.5 *0 ) - 4 e^(-.5 * 0 ) ] = 1000 e^-(.5 x) [ -2 t - 4 ] - (-

4000).

As x -> infinity, e^-(.5 x) [ -2 t - 4 ] -> 0 since the exponential will go to 0 very much faster than (-2 x - 4) will approach -infinity. This leaves only the -(-

4000) = 4000.

** The calculator is fine for checking yourself, but you need to use the techniques of calculus to determine inflection points, maxima, minima etc.. The careful use

the calculator to enhance rather than replace mathematical understanding. I get a lot of students in these courses who are now at 4-year institutions and who have

taken courses based on the graphing calculator, or even TI-92, and many of them tend to have a very difficult time in courses that don't permit them, and in courses

were mathematical understanding is required. **

** You have to use the techniques of calculus to determine these behaviors. Plugging values in won't show you the exact location of intercepts, maxima, minima, etc..

**

STUDENT QUESTION

I didn’t know where to go with the antiderivative but I think I understand your conclusion on that as well.

INSTRUCTOR RESPONSE

The infection is the rate-of-change function, so the antiderivative is the change-in-amount function.

Specificly we have the rate of change of the number of people who are or have been sick, with respect to clock time. The 'amount' is the number of people, so the

antiderivative function is the change in the number of people (i.e., in the number who have been or are sick).

The definite integral between two clock times therefore tells you how many people are or have been sick between those clock times. If we integrate from some clock time

from the initial instant to infinity, we get the total number of people who will get sick.

STUDENT COMMENT

I used the derivatives because this is a rate problem and the antiderivative is just a change in quantity formula.

INSTRUCTOR RESPONSE

You are given the rate.

If you know the average rate of change of change of a quantity with respect to time on an interval, you multiply it by the time interval in order to get the change in

the quantity.

This is as opposed to subtracting two quantities and dividing by the time interval, which corresponds to the derivative.

Summing up average rate * time interval corresponds to the integral, which is what should have been used here.

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Question: `q004. Determine whether each of the integrals below converges or diverges:

integral ( 1/x, x from 0 to 1 )

integral ( 1/x, x from 1 to infinity )

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Your solution:

int(1/x) = ln(x)

ln(1) - (ln(a) as a-> 0) = 0 - (-infinity) = infinity, diverges from 0 to 1

ln(infinity) - ln(1) = infinity - 0 = infinity, diverges from 1 to infinity

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