Assignment 21

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course Mth 163

4/10/13 around 4 p.m.

021. `query 21

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Question: `qWhat are the possible number of linear and irreducible quadratic factors for a polynomial of degree 6?

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Your solution:

You can have as many as 6 linear and 3 irreducible quadratic factors for a polynomial of degree 6.

For a polynomial of degree 6:

If you have quadratic factors that won’t reduce then you have degree 6 you will need 6 linear factors. If you have exactly one quadratic factor that won’t reduce then this factor is of degree 2 and you will need 4 linear factors.

If you have exactly two quadratic factors that won’t reduce then the product of these factors is of degree 4 and you will need 2 linear factors.

If you have 3 quadratic factors that won’t reduce then the product of these factors is of degree 6 and you can have no linear factors.

confidence rating #$&*: 3

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Given Solution:

`a** You can have as many as 6 linear and 3 irreducible quadratic factors for a polynomial of degree 6.

For a polynomial of degree 6:

If you have no irreducible quadratic factors then to have degree 6 you will need 6 linear factors.

If you have exactly one irreducible quadratic factor then this factor is of degree 2 and you will need 4 linear factors.

If you have exactly two irreducible quadratic factors then the product of these factors is of degree 4 and you will need 2

linear factors.

If you have three irreducible quadratic factors then the product of these factors is of degree 6 and you can have no linear

factors.

For a polynomial of degree 7:

If you have no irreducible quadratic factors then to have degree 7 you will need 7 linear factors.

If you have exactly one irreducible quadratic factor then this factor is of degree 2 and you will need 5 linear factors to give

you degree 7.

If you have exactly two irreducible quadratic factors then the product of these factors is of degree 4 and you will need 3

linear factors to give you degree 7.

If you have three irreducible quadratic factors then the product of these factors is of degree 6 and you will need 1 linear

factor to give you degree 7. **

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Self-critique (if necessary): ok

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Self-critique rating: 3

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Question: `qFor a degree 6 polynomial with one irreducible quadratic factor and four linear factors list the possible numbers of repeated and distinct zeros.

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Your solution:

there could be 1 root repeated 4 times, 2 roots with 1 repeated 3 times and the other distinct from it, 2 distinct roots each repeated twice, three distinct roots with one of them repeated twice, or four distinct roots.

confidence rating #$&*: 2

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Given Solution:

`a** there could be 1 root repeated 4 times, 2 roots with 1 repeated 3 times and the other distinct from it, 2 distinct roots

each repeated twice, three distinct roots with one of them repeated twice, or four distinct roots. Explanation:

You have one zero for every linear factor, so there will be four zeros.

Since the degree is even the far-left and far-right behaviors will be the same, either both increasing very rapidly toward

+infinity or both decreasing very rapidly toward -infinity.

You can have 4 distinct zeros, which will result in a graph passing straight thru the x axis at each zero, passing one way

(up or down) through one zero and the opposite way (down or up) through the next.

You can have 2 repeated and 2 distinct zeros. At the repeated zero the graph will just touch the x axis as does a

parabola at its vertex. The graph will pass straight through the x axis at the two distinct zeros.

You can have 3 repeated and 1 distinct zero. At the 3 repeated zeros the graph will level off at the instant it passes thru

the x axis, in the same way the y = x^3 graph levels off at x = 0. The graph will pass through the x axis at the one distinct

zero.

You can have two pairs of 2 repeated zeros. At each repeated zero the graph will just touch the x axis as does a

parabola at its vertex. Since there are no single zeros (or any other zeros repeated an odd number of times) the graph

will not pass through the x axis, so will remain either entirely above or below the x axis except at these two points.

You can have four repeated zeros. At the repeated zero the graph will just touch the x axis, much as does a parabola at

its vertex except that just as the y = x^4 function is somewhat flatter near its 'vertex' than the y = x^2 function, the graph

will be flatter near this zero than would be a parabolic graph. **

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Self-critique (if necessary): ok

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Self-critique rating: 2

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Question: `qDescribe a typical graph for each of these possibilities. Describe by specifying the shape of the graph at each of its zeros, and describe the far-left and far-right belavior of the graph.

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Your solution:

The graph will pass through the x axis 4 times. Near each of the 4 zeros the graph will appear to be a straight line, though of course as you get away from the x axis the graph in between the zeros will need to curve in order to return to the axis.

The graph will get increasingly steep at far right and far left, with the slopes at left and right having opposite signs (i.e., if the slope at far right is positive, with the graph moving up and to the right, then at far left the slope must be negative, moving down as it moves to the right; similarly if the slope at far left is positive, the slope at far right will be negative).

confidence rating #$&*: 3

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Given Solution:

The graph will pass through the x axis 4 times. Near each of the 4 zeros the graph will appear to be a straight line, though of course as you get away from the x axis the graph in between the zeros will need to curve in order to return to the axis.

The graph will get increasingly steep at far right and far left, with the slopes at left and right having opposite signs (i.e., if the slope at far right is positive, with the graph moving up and to the right, then at far left the slope must be negative, moving down as it moves to the right; similarly if the slope at far left is positive, the slope at far right will be negative).

The graph might look like the figure below; it might also be 'upside down' compared to the graph in the figure.

ERRONEOUS STUDENT SOLUTION AND INSTRUCTOR CORRECTION

for 4 distincts, the graph curves up above the x axis then it crosses it 4 timeswithe the line retreating from the direction it

came from

for say 2 distincts and 2 repeats, line curves above x axis then it kisses the axis then it crosses it twice, retreating to the

side it came from

for 1 distinct and 3 it curves above x axis then it crosses once and kisses, finnaly heading off to the opposite side it came

from

INSTRUCTOR COMMENTS:

{The graph can't go off in th opposite direction. Since it is a product of four linear factors and any number of quadratic

factors its degree is even so its large-x behavior is the same for large positive as for large negative x. It doesn't kiss at a

degree-3 root, it acts like the y = x^3 polynomial, leveling off just for an instant as it passes through the zero and on to the

other side of the axis. **

problems 3-5

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Self-critique (if necessary): ok

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Self-critique rating: 3

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Question: `qIt doesn't matter if you don't have a graphing utility--you can answer these questions based on what you know about the shape of each power function.

Why does a cubic polynomial, with is shape influenced by the y = x^3 power function, fit the first graph better than a quadratic or a linear polynomial?

What can a cubic polynomial do with this data that a quadratic can't?

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Your solution:

the way the graph curves of a cubic can change. Linear graphs don't curve, quadratic graphs

can be concave either up or down. Cubic graphs can change from upward to downward.

confidence rating #$&*: 3

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Given Solution:

`a** the concavity (i.e., the direction of curvature) of a cubic can change. Linear graphs don't curve, quadratic graphs

can be concave either upward or downward but not both on the same graph. Cubics can change concavity from upward

to downward. **

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Self-critique (if necessary): ok

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Self-critique rating: 3

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Question: `qOn problem 5, how do the shapes of 4th-degree polynomials and 6th-degree polynomials progressively differ from the shape of a 2d-degree polynomial in such a way as to permit a better and better fit to the graph?

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Your solution:

higher even degrees flatten out more near their 'vertices'

confidence rating #$&*: 3

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Given Solution:

`a** higher even degrees flatten out more near their 'vertices' **

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Self-critique (if necessary): ok

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Self-critique rating: 3

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Question: `qOn problem 5, how do the shapes of 4th-degree polynomials and 6th-degree polynomials progressively differ from the shape of a 2d-degree polynomial in such a way as to permit a better and better fit to the graph?

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Your solution:

On a degree-2 polynomial there is only one change of direction at the vertex. For degrees 4 and 6, respectively, there can be as many as 3 and 5 changes of direction. For higher degrees the graph has more ability to change

confidence rating #$&*: 3

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Given Solution:

`aSTUDENT RESPONSE: progressively more flexing, because more curves, and fit graph better the that of a lesser

degree

INSTRUCTOR COMMENT: On a degree-2 polynomial there is only one change of direction, which occurs at the

vertex. For degrees 4 and 6, respectively, there can be as many as 3 and 5 changes of direction, respectively. For higher

degrees the graph has more ability to 'wobble around' to follow the data points.

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Self-critique (if necessary): ok

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Self-critique rating: 3

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Question: `qWhat is the degree 2 Taylor approximation for f(t) = e^(2t), and what is your approximation to f(.5)? How close is your approximation to the actual value of e^(2t)?

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Your solution:

The degree 2 Taylor polynomial is f(t) = 1 + 2t + (2t)^2 / 2! = 1 + 2 t + 4 t^2 / 2 = 1 + 2 t + 2 t^2.

So we get: T(.5) = 1 + 2 * .5 + 2 * .5^2 = 1 + 1 + 2 * .25 = 1 + 1 + .5 = 2.5.

The actual value of e^(2t) at t = .5 is f(.5) = e^(2 * .5) = e^1 = e = 2.718

The approximation is .218 less than the actual function

confidence rating #$&*: 3

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Given Solution:

`a** The degree 2 Taylor polynomial is f(t) = 1 + 2t + (2t)^2 / 2! = 1 + 2 t + 4 t^2 / 2 = 1 + 2 t + 2 t^2.

Therefore we have

T(.5) = 1 + 2 * .5 + 2 * .5^2 = 1 + 1 + 2 * .25 = 1 + 1 + .5 = 2.5.

The actual value of e^(2t) at t = .5 is

f(.5) = e^(2 * .5) = e^1 = e = 2.718, approx..

The approximation is .218 less than the actual function. **

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Self-critique (if necessary): ok

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Self-critique rating: 3

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Question: `qBy how much does your accuracy improve when you make the same estimate using the degree 3 Taylor approximation?

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Your solution:

The degree 3 Taylor polynomial is f(t) = 1 + 2t + (2t)^2 / 2! + (2t)^3 / 3! = 1 + 2 t + 4 t^2 / 2 + 8 t^3 / 6 = 1 + 2 t

+ 2 t^2 + 4 t^3 / 3.

So we get: T(.5) = 1 + 2 * .5 + 2 * .5^2 + 4 * .5^3 / 3 = 1 + 1 + 2 * .25 + 4 * .125 / 3 = 1 + 1 + .5 + .167 = 2.667.

The actual value of e^(2t) at t = .5 is f(.5) = e^(2 * .5) = e^1 = e = 2.718

The approximation is .051 less than the actual function.

confidence rating #$&*: 3

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Given Solution:

`a** The degree 3 Taylor polynomial is f(t) = 1 + 2t + (2t)^2 / 2! + (2t)^3 / 3! = 1 + 2 t + 4 t^2 / 2 + 8 t^3 / 6 = 1 + 2 t

+ 2 t^2 + 4 t^3 / 3.

Therefore we have

T(.5) = 1 + 2 * .5 + 2 * .5^2 + 4 * .5^3 / 3 = 1 + 1 + 2 * .25 + 4 * .125 / 3 = 1 + 1 + .5 + .167 = 2.667.

The actual value of e^(2t) at t = .5 is

f(.5) = e^(2 * .5) = e^1 = e = 2.718, approx..

The approximation is .051 less than the actual function. This is about 4 times closer than the approximation we obtained

from the degree-2 polynomial. **

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Self-critique (if necessary): ok

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Self-critique rating: 3

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Question: `qDescribe your graph of the error vs. the degree of the approximation for degree 2, degree 3, degree 4 and degree 5 approximations to e^.5.

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Your solution:

The value of e^.5 1.6487.

The Taylor approximation for e^x is 1 + x + x^2 / 2! + x^3 / 3! + ... + x^n / n! + ...

Therefore for degree 2 the approximation is 1 + .5 + .5^2/2 = 1.625

For degree 3 the approximation is 1 + .5 + .5^2/2 + .5^3/6 = 1.6458

For degree 4 the approximation is 1 + .5 + .5^2/2 + .5^3/6 + .5^4/24 = 1.648

For degree 5 the approximation is 1 + .5 + .5^2/2 + .5^3/6 + .5^4/24 + .5^5/120 = 1.6487

confidence rating #$&*: 3

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Given Solution:

`a**

The value of e^.5 to 10 significant figures is 1.648721270. Each approximation should be rounded to a number of significant figures great enough to give at least a 2-significant-figure difference.

The Taylor approximation for e^x is 1 + x + x^2 / 2! + x^3 / 3! + ... + x^n / n! + ...

Thus for degree 2 the approximation is 1 + .5 + .5^2/2 = 1.625

F0r degree 3 the approximation is 1 + .5 + .5^2/2 + .5^3/6 = 1.6458

For degree 4 the approximation is 1 + .5 + .5^2/2 + .5^3/6 + .5^4/24 = 1.64838 approx

For degree 5 the approximation is 1 + .5 + .5^2/2 + .5^3/6 + .5^4/24 + .5^5/120 = 1.648697917

The errors, if calculations are done accurately enough to yield a difference with 3 significant figures, are as follows:

ê^.5 - (1 + .5 + .5^2/2 ) = 0.0237

ê^.5 - (1 + .5 + .5^2/2 + .5^3/6 ) = 0.00288

ê^.5 - (1 + .5 + .5^2/2 + .5^3/6 + .5^4/24 ) = 0.000283

e^.5 - (1 + .5 + .5^2/2 + .5^3/6 + .5^4/24 + .5^5/120) = .000023354

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Self-critique (if necessary): 3

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Self-critique rating: ok

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Question: `qWhat are your degree four approximations for e^.2, e^.4, e^.6 e^.8 and e^1? Describe the graph of the approximation error vs. x.

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Self-critique (if necessary):

The degree-4 approximation to the exponential function e^x is 1 + x + x^2 / 2! + x^3 / 3! + x^4 / 4!. We get this expression for x = .2, .4, 6., .8, 1.0:

For x = 0.2 the degree 4 approximation is 1.2214

This differs from e^.2 = 1.221402758 by 2.75816*10^(-06) = .000002758

For x = 0.4 the degree 4 approximation is 1.49173333

This differs from e^.4 = 1.491824698 by 9.13643*10^(-05) = .00009136

For x = 0.6 the degree 4 approximation is 1.8214

This differs from e^.6 = 1.8221188 by 0.0007188

For x = 0.8 the degree 4 approximation is 2.2224

This differs from e^.8 = 2.225540928 by 0.003140928

For x = 1 the degree 4 approximation is 2.70833333

This differs from e^1 = 2.718281828 by 0.009948495

The errors written to 2 significant figures are .0000027, .000091, .000071, .0031 and .0099.

A graph of approximation error vs. x increases exponentially, with over a 10-fold increase with every increment of 0.2.

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Self-critique rating: 3

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Question: `qThe following are the approximations and errors:

The degree-4 approximation to the exponential function e^x is 1 + x + x^2 / 2! + x^3 / 3! + x^4 / 4!. We evaluate this expression for x = .2, .4, 6., .8, 1.0:

For x = 0.2 the degree 4 approximation is 1.2214

This differs from e^.2 = 1.221402758 by 2.75816*10^(-06) = .000002758

For x = 0.4 the degree 4 approximation is 1.49173333

This differs from e^.4 = 1.491824698 by 9.13643*10^(-05) = .00009136

For x = 0.6 the degree 4 approximation is 1.8214

This differs from e^.6 = 1.8221188 by 0.0007188

For x = 0.8 the degree 4 approximation is 2.2224

This differs from e^.8 = 2.225540928 by 0.003140928

For x = 1 the degree 4 approximation is 2.70833333

This differs from e^1 = 2.718281828 by 0.009948495

The errors can be written to 2 significant figures as .0000027, .000091, .000071, .0031 and .0099.

A graph of approximation error vs. x increases exponentially, with over a 10-fold increase with every increment of 0.2.

This graph is shown below:

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Self-critique (if necessary): ok

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Self-critique rating: 3

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Question: `qWhat is the function which gives the quadratic approximation to the natural log function?

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Your solution:

The function is P2(x) = (x-1) - (x-1)^2/2.

A table of values of ln(x), P2(x) and P2(x) - ln(x):

x ln(x) P2(x) P2(x) - ln(x)

.6 -0.5108256237 -0.48 0.03082562376

.8 -0.2231435513 -0.22 0.003143551314

1.2 0.1823215567 0.18 -0.002321556793

1.4 0.3364722366 0.32 -0.01647223662

At x = 1 we have ln(x) = ln(1) = 0, and P2(x) = P2(1) = (1-1) - (1-1)^2 / 2 = 0. There is no difference in values at x = 1.

As we move away from x = 1 the approximation gets less and less accurate

confidence rating #$&*: 3

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Given Solution:

`a** The function is P2(x) = (x-1) - (x-1)^2/2.

A table of values of ln(x), P2(x) and P2(x) - ln(x):

x ln(x) P2(x) P2(x) - ln(x)

.6 -0.5108256237 -0.48 0.03082562376

.8 -0.2231435513 -0.22 0.003143551314

1.2 0.1823215567 0.18 -0.002321556793

1.4 0.3364722366 0.32 -0.01647223662

At x = 1 we have ln(x) = ln(1) = 0, and P2(x) = P2(1) = (1-1) - (1-1)^2 / 2 = 0. There is no difference in values at x =

1.

As we move away from x = 1 the approximation becomes less and less accurate. **

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Self-critique (if necessary): ok

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Self-critique rating:3

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Question: `qWhat is the error in the degree 2 approximation to ln(x) for x = .6, .8, 1.2 and 1.4? Why does the approximation get better as x approaches 1?

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Your solution:

The respective errors are .03, .00314, .00232, .016472.

There is no error at x = 1, since both the function and the approximation give us 0. As we move away from 1 the approximation becomes less and less accurate.

confidence rating #$&*: 3

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Given Solution:

`a** The respective errors are .03, .00314, .00232, .016472.

There is no error at x = 1, since both the function and the approximation give us 0. As we move away from 1 the

approximation becomes less and less accurate. **

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Self-critique (if necessary): ok

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Self-critique rating: 3

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Question: `qproblem 12. What does the 1/x graph do than no quadratic function can do?

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Your solution:

The y = 1/x graph has vertical asymptotes at the y axis and horizontal asymptotes at the x axis. The parabolas we get from quadratic functions don’t have vertical or horizontal asymptotes

confidence rating #$&*: 3

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Given Solution:

`a** The y = 1/x graph has vertical asymptotes at the y axis and horizontal asymptotes at the x axis. The parabolas we

get from quadratic functions do have neither vertical nor horizontal asymptotes. **

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Self-critique (if necessary): ok

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Self-critique rating: 3

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Question: `qWhat are the errors in the quadratic approximation to 1/x at x = .6, .8, 1, 1.2, and 1.4?

Describe a graph of the approximation error vs. x.

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Your solution:

The quadratic approximation to 1/x is the second-degree Taylor polynomial P2(x) = 1 - (x - 1) + (x - 1)^2.

A table of values of 1/x, P2(x) and P2(x) - 1/x:

x 1/x P2(x) P2(x) - 1/x

.6 1.666... 1.56 -.1066...

.8 1.25 1.24 -0.01

1.2 0.8333.... 0.84 0.006666

1.4 0.714285... 0.76 0.457

A graph of approximation error vs. x decreases at a decreasing rate to 0 at x = 1, then increases at an increasing rate for x > 1.

confidence rating #$&*: 3

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Given Solution:

`a** The quadratic approximation to 1/x is the second-degree Taylor polynomial

P2(x) = 1 - (x - 1) + (x - 1)^2.

A table of values of 1/x, P2(x) and P2(x) - 1/x:

x 1/x P2(x) P2(x) - 1/x

.6 1.666... 1.56 -.1066...

.8 1.25 1.24 -0.01

1.2 0.8333.... 0.84 0.006666

1.4 0.714285... 0.76 0.457

A graph of approximation error vs. x decreases at a decreasing rate to 0 at x = 1, then increases at an increasing rate for x

> 1.

This shows how the accuracy of the approximation decreases as we move away from x = 1.

The graph of approximation error vs. x gets greater as we move away from x = 1.**

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Self-critique (if necessary): ok

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Self-critique rating: 3

If you understand the assignment and were able to solve the previously given problems from your worksheets, you should be able to complete most of the following problems quickly and easily. If you experience difficulty with some of these problems, you will be given notes and we will work to resolve difficulties.

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Question: What is the maximum number of zeros possible for a polynomial of degree 5 which contains one irreducible quadratic factor?

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Your solution:

confidence rating #$&*:

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Question: What are the zeros of each of the following polynomials, and what is the multiplicity of each zero?

y = (x - 3) * (x + 2) * (x^2 + 4 x + 3)

y = (x - 3) * (x + 2) * (x^2 + 4 x + 4)

y = (x - 3) * (x + 2) * (x^2 + 4 x + 5)

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Your solution:

For the first equation we could have x = -3, x = 2 or x = 3

For the second equation we could have x = -3, x = 2 or x = 4

For the last equation we could have x = -3, x = 2, or x = 5

There are zero multiplicity factors for all of these equations

@&

Right idea, but you would say that the multiplicity is 1 for each of these zeros.

*@

confidence rating #$&*: 2

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Question: What are the possible number of linear and irreducible quadratic factors for a polynomnial of degree 5?

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Your solution:

For a polynomial of degree 5:

If you have no irreducible quadratic factors then to have degree 5 you will need 5 linear factors.

If you have exactly one irreducible quadratic factor then this factor is of degree 2 and you will need 3 linear factors.

If you have exactly two irreducible quadratic factors then the product of these factors is of degree 4 and you will need 1 linear factors.

If you have three irreducible quadratic factors then the product of these factors is of degree 5 and you can have no linear factors.

@&

Good, but three irreducible quadratic factors would imply degree 6, and would not apply to a degree-5 polynomial.

*@

confidence rating #$&*: 3

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Question: What are the degree 2 and degree 3 Taylor approximations of the function f(t) = e^(t/2)?

The approximate value of e^(t / 2) for t = 0.2 is 1.1052, accurate to five significant figures.

By how much does the value of the degree-2 Taylor polynomial, evaluated at t = 0.2, differ from this value?

By how much does the value of the degree-3 Taylor polynomial, evaluated at t = 0.2, differ from this value?

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Your solution:

The degree 2 Taylor polynomial is f(t) = 1 + 2t + t^(t/2) / 2! = 1 + 2 t + 2 (t/2) / 2 = 1 + 2 t + 2 (t/2).

Therefore we have

T(.2) = 1 + 2*.2 + .2^(.2/2) / 2! = 1 + .2 *.2 + 2 (.2/2) / 2 = 1 + 2 * .2 + 2 (.2/2).

The actual value of e^(t/2) at t = .2 is

f(.2) = e^(.2/ 2) = 1.6

confidence rating #$&*:1

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Self-critique (if necessary):

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Self-critique rating:

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