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Taylor Polynomials

9.1 Zeroth approximation

5 problems · hints, answers and solutions shown beside each one

Stage 1 · Conceptual

Q1Stage 1

The graph below shows three curves. The black curve is y=f(x)y=f(x), the red curve is y=g(x)=1+2sin(1+x)y=g(x)=1+2\sin(1+x), and the blue curve is y=h(x)=0.7y=h(x)=0.7. If you want to estimate f(0)f(0), what might cause you to use g(0)g(0)? What might cause you to use h(0)h(0)?

Figure from prob_s3.4.1, line 1

Figure from prob_s3.4.1, line 1

Hint

An approximation should be something you can actually figure out–otherwise it's no use.

Answer

Since f(0)f(0) is closer to g(0)g(0) than it is to h(0)h(0), you would probably want to estimate f(0)g(0)=1+2sin(1)f(0) \approx g(0)=1+2\sin (1) if you had the means to efficiently figure out what sin(1)\sin(1) is, and if you were concerned with accuracy. If you had a calculator, you could use this estimation. Also, later in this chapter we will learn methods of approximating sin(1)\sin (1) that do not require a calculator, but they do require time.

Without a calculator, or without a lot of time, using f(0)h(0)=0.7f(0)\approx h(0)=0.7 probably makes the most sense. It isn't as accurate as f(0)g(0)f(0) \approx g(0), but you get an estimate very quickly, without worrying about figuring out what sin(1)\sin(1) is.

Full solution

Since f(0)f(0) is closer to g(0)g(0) than it is to h(0)h(0), you would probably want to estimate f(0)g(0)=1+2sin(1)f(0) \approx g(0)=1+2\sin (1) if you had the means to efficiently figure out what sin(1)\sin(1) is, and if you were concerned with accuracy. If you had a calculator, you could use this estimation. Also, later in this chapter we will learn methods of approximating sin(1)\sin (1) that do not require a calculator, but they do require time.

Without a calculator, or without a lot of time, using f(0)h(0)=0.7f(0)\approx h(0)=0.7 probably makes the most sense. It isn't as accurate as f(0)g(0)f(0) \approx g(0), but you get an estimate very quickly, without worrying about figuring out what sin(1)\sin(1) is.

Remark: when you're approximating something in real life, there probably won't be an obvious “correct" way to do it. There's usually a trade-off between accuracy and ease.

Stage 2 · Procedural

In this and following sections, we will ask you to approximate the value of several constants, such as log(0.93)\log(0.93). A valid question to consider is why we would ask for approximations of these constants that take lots of time, and are less accurate than what you get from a calculator.

One answer to this question is historical: people were approximating logarithms before they had calculators, and these are some of the ways they did that. Pretend you're on a desert island without any of your usual devices and that you want to make a number of quick and dirty approximate evaluations.

Another reason to make these approximations is technical: how does the calculator get such a good approximation of log(0.93)\log(0.93)? The techniques you will learn later on in this chapter give very accurate formulas for approximating functions like logx\log x and sinx\sin x, which are sometimes used in calculators.

A third reason to make simple approximations of expressions that a calculator could evaluate is to provide a reality check. If you have a ballpark guess for your answer, and your calculator gives you something wildly different, you know to double-check that you typed everything in correctly.

For now, questions like Question 2 through Question 4 are simply for you to practice the fundamental ideas we're learning.

Q2Stage 2

Use a constant approximation to estimate the value of log(x)\log(x) when x=0.93x=0.93. Sketch the curve y=f(x)y=f(x) and your constant approximation.

(Remember that we use logx\log x to mean the natural logarithm of xx, logex\log_e x.)

Hint

You'll need some constant aa to approximation log(0.93)log(a)\log(0.93) \approx \log(a). This aa should have two properties: it should be close to 0.93, and you should be able to easily evaluate log(a)\log(a).

Answer

log(0.93)log(1)=0\log(0.93)\approx \log(1)=0

Figure from prob_s3.4.1, line 1

Figure from prob_s3.4.1, line 1

Full solution

0.93 is pretty close to 1, and we know log(1)=0\log(1)=0, so we estimate log(0.93)log(1)=0\log(0.93) \approx \log(1)=0.

Figure from prob_s3.4.1, line 1

Figure from prob_s3.4.1, line 1

Q3Stage 2

Use a constant approximation to estimate arcsin(0.1)\arcsin(0.1).

Hint

You'll need some constant aa to approximate arcsin(0.1)arcsin(a)\arcsin(0.1) \approx \arcsin(a). This aa should have two properties: it should be close to 0.1, and you should be able to easily evaluate arcsin(a)\arcsin(a).

Answer

arcsin(0.1)0\arcsin(0.1) \approx 0

Full solution

We don't know arcsin(0.1)\arcsin(0.1), but 0.1 is reasonably close to 0, and arcsin(0)=0\arcsin(0)=0. So, we estimate arcsin(0.1)0\arcsin(0.1) \approx0.

Q4Stage 2

Use a constant approximation to estimate 3tan(1)\sqrt{3}\tan(1).

Hint

You'll need some constant aa to approximate 3tan(1)3tan(a)\sqrt{3}\tan(1) \approx \sqrt{3}\tan(a). This aa should have two properties: it should be close to 1, and you should be able to easily evaluate 3tan(a)\sqrt{3}\tan(a).

Answer

3tan(1)3\sqrt{3}\tan(1) \approx 3

Full solution

We don't know tan(1)\tan(1), but we do know tan(π3)=3\tan\left(\dfrac{\pi}{3}\right)=\sqrt{3}. Since π31.047\dfrac{\pi}{3}\approx 1.047 is pretty close to 1, we estimate 3tan(1)3tan(π3)=(3)2=3.\sqrt{3}\tan(1) \approx \sqrt{3}\tan\left(\dfrac{\pi}{3}\right)=\left(\sqrt{3}\right)^2=3.

Stage 3 · Application

Q5Stage 3

Use a constant approximation to estimate the value of 10.1310.1^3. Your estimation should be something you can calculate in your head.

Hint

We could figure out 10.1310.1^3 exactly, if we wanted, with pen and paper. Since we're asking for an approximation, we aren't after perfect accuracy. Rather, we're after ease of calculation.

Answer

10.13103=100010.1^3 \approx 10^3=1000

Full solution

Since 10.110.1 is pretty close to 1010, we estimate 10.13103=100010.1^3 \approx 10^3=1000.

Remark: these kinds of approximations are very useful when you are doing computations. It's easy to make a mistake in your work, and having in mind that 10.1310.1^3 should be about a thousand is a good way to check that whatever answer you have makes sense.

From the UBC Math 100 open textbook project, © Joel Feldman, Andrew Rechnitzer, Elyse Yeager and others. Licensed CC BY-NC-SA 4.0; this HTML adaptation is released under the same licence. Full attribution.