Taylor Polynomial for f(x)=sec(x)

In summary, the protagonist is struggling to find the reciprocal of 1-r. He tries substitution, reverse the term order, and using the definition of a power series but all of these methods fail him. He is also having trouble remembering how to do this trick from pre-calc.
  • #1
ehilge
163
0
Hey all, so I need to find 4th degree taylor polynomial of f(x)=sec(x) centered at c=0

Can I just use substitution to find the answer since sec(x) = 1/cos(x) and I know the taylor series for cos(x). I guess, essentially, can I take the reciprocal of the taylor series of cosx to get sec(x). (in the same way for sin ((x^3)) you can just plug in x^3 wherever there is an x in the taylor series)

I know if this doesn't work I can keep taking the derivatives of secx and plug everything in and expand it out and all of that jazz. I did start to take the derivatives of sec(x) before I realized that it got excessively complicated and cumbersome.

So if my original idea doesn't work, what would be a better way to solve the problem without having to differentiate a whole bunch?

Thanks!
 
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  • #2
ehilge said:
Can I just use substitution to find the answer since sec(x) = 1/cos(x) and I know the taylor series for cos(x). I guess, essentially, can I take the reciprocal of the taylor series of cosx to get sec(x).
Yes. Of course, that requires you to know how to compute the reciprocal...
 
  • #3
Hurkyl said:
Yes. Of course, that requires you to know how to compute the reciprocal...

wait, so there something more to finding the reciprocal than just flipping the numerater and denomenator?

can I just say since cos(x) = [tex]\Sigma[/tex] ((-1)^n(x^2n))/(2n)!
then sec(x) = [tex]\Sigma[/tex] (2n)!/((-1)^n(x^2n))

I'm thinking it has to be more complicated than that so if it is help would be appreciated,
Thanks
 
  • #4
Think of a simple example: what is the reciprocal of 1-r?
 
  • #5
ehilge said:
wait, so there something more to finding the reciprocal than just flipping the numerater and denomenator?

can I just say since cos(x) = [tex]\Sigma[/tex] ((-1)^n(x^2n))/(2n)!
then sec(x) = [tex]\Sigma[/tex] (2n)!/((-1)^n(x^2n))

I'm thinking it has to be more complicated than that so if it is help would be appreciated,
Thanks

What you wrote for sec(x) is not a power series of the kind you want (positive powers)
 
  • #6
ehilge said:
wait, so there something more to finding the reciprocal than just flipping the numerater and denomenator?

can I just say since cos(x) = [tex]\Sigma[/tex] ((-1)^n(x^2n))/(2n)!
then sec(x) = [tex]\Sigma[/tex] (2n)!/((-1)^n(x^2n))

I'm thinking it has to be more complicated than that so if it is help would be appreciated,
Thanks

No that is wrong and also not a Taylor polynomial. The way to do this is with a trick using [tex]\sum_n p^n = \frac{1}{1-p}[/tex] in reverse. Very hard to guess...

Alternetively you just use the definition of the Taylor series, you know how to derive don't you.
 
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  • #7
Long division works too.

So does writing the equation:
{Given power series} * {indeterminate power series} = 1
and solving for the coefficients of the indeterminate power series.
 
  • #8
Didn't know that... you never stop learning. I understand the series multiplication.
How do you do long division with this. I know how to do it when the order of the polynomial to be divided is higher than that of the polynomial you divide by. But I don't see how you do it when you divide by an infinite polynomial, especially since you normally start with the highest order terms.
 
  • #9
0xDEADBEEF said:
Didn't know that... you never stop learning. I understand the series multiplication.
How do you do long division with this. I know how to do it when the order of the polynomial to be divided is higher than that of the polynomial you divide by. But I don't see how you do it when you divide by an infinite polynomial, especially since you normally start with the highest order terms.
Reverse the term order. In "normal" polynomial division, you consider larger powers of x be more significant. But here, you do the opposite: consider them to be less significant.
 
  • #10
Hurkyl said:
Think of a simple example: what is the reciprocal of 1-r?

ok, so, making a little progress here. I realize why what I mentioned earlier would be wrong with negative exponents and not being a power series and such. But I'm still having all kinds of trouble figuring out this reciprocal stuff. Of course the first thing that comes to mind for 1-r is 1/(1-r) but I know that this can't be correct. Back in pre-calc I remember doing problems where I needed a reciprocal and I remember being surprised at the answer but I have no clue how to get from one to the other. If someone could remind me of how to do the trick that would be great. I have a feeling its something simple but I just don't see it. Thanks again for helping me with this problem!

Also, I tried playing with some of the other methods mentions but I didn't have any success. And yes I could go through and differentiate and use the definition of a power series but that gets very cumbersome and I would like to know a better way if a similar problem shows up on an exam.
 
  • #11
One way, pointed out earlier, is to use the equation
[tex]
\frac{1}{1-r}=\sum_{k=0}^\infty{r^k}
[/tex]

The left hand side is the reciprocal of 1-r, the right hand side a fine power series in r. Can you generalize this to your original problem?
 
  • #12
At the risk of distracting from main discussion of this thread, I'd like to go back to talk about the calculation of derivatives, especially the OP's orignal concern:

I know if this doesn't work I can keep taking the derivatives of secx and plug everything in and expand it out and all of that jazz. I did start to take the derivatives of sec(x) before I realized that it got excessively complicated and cumbersome.

This does not always have to be so cumbersome if one takes a methodical approach at calculating these derivates. Sometimes, this process can yield some significant benifits.

This is especially true for simple functions involving sec(x) or tan(x) and even more so when expanding about a "simple" point (eg, sec(0) = 1)

Consider, for example, your function f(x) = sec(x). Note the first derivative, sec(x) * tan(x), contains f(x) itself. That is, f'(x) = f(x) * tan(x). Using this method, calculating the next three derivatives should not be that bad if we methodically use f(x) and its derivatives in the following derivative calculations.

For example, note

[tex]
\begin {align*}
f(x) &= \sec(x) \\
f'(x)&= \sec(x) \cdot \tan(x) \\
&= f(x) \cdot \tan(x) \\
f''(x) &= f'(x) \cdot \tan(x) + f(x) \cdot \bigl(\tan(x) \bigr)' \\
&= f'(x) \cdot \tan(x) + f(x) \cdot \sec^2(x) \\
&= f'(x) \cdot \tan(x) +f^3(x) \\
\end {align*}
[/tex]

Here we used that fact that the derivative of tan(x) is [itex]\sec^2(x) [/itex], which is [itex]f^2(x)[/itex]

Continuing, expressing higher derivatives in terms of f(x) and the lower derivatives of f(x) yields

[tex]
\begin {align*}
f'''(x) &= f''(x) \cdot \tan(x) + f'(x) \cdot f^2(x) + 3 \cdot f^2(x) \cdot f'(x) \\
&= f''(x) \cdot \tan(x) + 4 \cdot f'(x) \cdot f^2(x) \\
f^{(4)}(x) &= f'''(x) \cdot \tan(x) +f''(x) \cdot f^2(x) \\
&+ 4 \cdot \bigl (2 \cdot f(x) \cdot f'(x) \cdot f'(x) + f^2(x) \cdot f''(x) \bigl) \\
&= f'''(x) \cdot \tan(x) + 5 \cdot f^2(x) \cdot f''(x) + 8 f(x) \cdot \bigl(f'(x) \bigr)^2
\end {align*}
[/tex]

We now compute the various derivatives at zero, starting with f(0), and using the previous calculated results of f(0) and derivatives in the higher expressions

[tex]
\begin {align*}
f(0) &= \sec(0) = 1 \\
f'(0) &= f(0) \cdot \tan(0) = 0 \\
f''(0) &= f'(0) \cdot \tan(0) +f^2(0) = 1 \\
f'''(0) &= f''(0) \cdot \tan(0) + 4 \cdot f^2(0) \cdot f'(0) = 0 \\
f^{(4)}(0) &= f'''(0) \cdot \tan(0) + 5 \cdot f^2(0) \cdot f''(0) + 8 \cdot f(0) \cdot \bigl(f'(0) \bigr)^2 = 5
\end {align*}
[/tex]

Of course, this can become increasingly messy as we go higher with the derivatives, but for small orders, it may not be so bad to calculate these derivatives directly.
 
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  • #13
hmmm, I do like the way the last method approached differentiating. I ended up solving the problem just by differentiating everything. I had a chance to talk with my calc professor today and he thought the best way to do the problem would be just to differentiate. I'm sure some of the other methods you guys brought up work fine but frankly, I don't have the time to work through it right now especially since I already turned in the assignment. Thanks a lot for all of the help with this problem, I really appreciate it.
 
  • #14
sec(x) = En x^2n/(2n)! where En are Euler numbers 1, 5, 61, 1358…
 
  • #15
No, you can't just flip all the terms of the cos x series into (2n)!/((-1)^n(x^2n)) simply because sec x = 1/cos x.

I'll give you a simple example. 1/((1/2)+(1/3)) does NOT equal 2+3. This is essentially what you're saying when you just flip ((-1)^n(x^2n))/(2n)!
to be (2n)!/((-1)^n(x^2n)).
 

FAQ: Taylor Polynomial for f(x)=sec(x)

What is a Taylor Polynomial?

A Taylor Polynomial is a mathematical expression that approximates a function around a specific point. It is made up of a finite number of terms, each representing a different degree of the function's derivatives at that point.

What is the Taylor Polynomial for f(x)=sec(x)?

The Taylor Polynomial for f(x)=sec(x) is given by the formula:
sec(x) = 1 + x^2/2! + 5x^4/4! + 61x^6/6! + ... + [2n-1]x^2n/(2n)! + ...

How is the Taylor Polynomial for f(x)=sec(x) derived?

The Taylor Polynomial for f(x)=sec(x) is derived by finding the derivatives of the function at the specific point, evaluating them at that point, and plugging them into the formula for the Taylor Polynomial.

Why is the Taylor Polynomial for f(x)=sec(x) useful?

The Taylor Polynomial for f(x)=sec(x) is useful because it allows us to approximate the value of the function at any point near the specific point, without having to calculate the function itself.

What is the difference between the Taylor Polynomial and the actual function f(x)=sec(x)?

The Taylor Polynomial is an approximation of the actual function f(x)=sec(x) and is not an exact representation. The more terms included in the polynomial, the closer the approximation is to the actual function. However, the Taylor Polynomial will never be exactly equal to the function unless an infinite number of terms are included.

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