What is the Problem with the Taylor Series for f(x)=1/(x)^(1/2) at a=9?

In summary, the author is trying to find the taylor series for f(x) = 1/(x)^(1/2), but they get sidetracked and end up with the more complicated expression for f(x) = (x)^(-1/2). When plugging this expression into the taylor series, they find that the answer at the back of the book is the sum of all the negative terms.
  • #1
chemic_23
44
0

Homework Statement



Find the taylor series of f(x)=1/(x)^(1/2) ; a=9


2. The attempt at a solution

f(x) = (x)^(-1/2)
f'(x) = -(1/2)*x^(-3/2)
f''(x) = (1/2)*(3/2)*x^(-5/2)
f'''(x) = -(1/2)*(3/2)*(5/2)*x^(-7/2)
f''''(x) = (1/2)*(3/2)*(5/2)*(7/2)*x^(-11/2)

f(9) = (1/3)
f'(9) = -(1/(3^3))*(1/2)
f''(9) = (1/(3^5))*(1/(2^2))
f'''(9) = -(1/(3^7))*(1/(2^3))
f''''(9) = (1/(3^9))*(1/(2^4))

pluging to the taylor series,

=f(9) + f'(9)*(x-9) + (f"(9)*(x-9)^2)/2! + (f"'(9)*(x-9)^3)/3! + ...

= (1/3) - (1/(3^3))*(1/2)*(x-9) + ((1/(3^5))*(1/(2^2))*(x-9)^2)/2! - ((1/(3^7))*(1/(2^3))*(x-9)^3)/3! +...+ ((-1)^1* (1)(3)(5)...(2n-1)*(x- 9)^n)/((3^(2n+1))*(2^n)*(n!))

=1/3 + sum(n=1 to infinity) ((-1)^n* (1)(3)(5)...(2n-1)*(x-9)^n)/((3^(2n+1))*(2^n)*(n!))


but the answer at the back of the book is sum(n=0 to infinity) ((-1)^n* (1)(3)(5)...(2n-1)*(x-9)^n)/((3^(2n+1))*(2^n)*(n!))

i'm not convinced because when you plug n=0 to ((-1)^n* (1)(3)(5)...(2n-1)*(x 9)^n)/((3^(2n+1))*(2^n)*(n!)),

the first terms turns out to be -1/3 which is negative that is, 2n-1 => 2(0)-1 = -1 which makes 1/3 to be negative. The expanded term above is 1/3 which is positive. Pls can someone explain this? please thanks
 
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  • #2
It looks like you're right - the book should have been a little more careful to distinguish the first coefficient as a special case from the general expression. I would have said the following:

[tex]
f(x) = \alpha_0} + \sum_{n=1}^{\infty} \alpha_n \cdot (x-9)^n
[/tex]

where

[tex]
\alpha_0 = \frac{1}{3}
[/tex]

and

[tex]
\alpha_n = (-1)^n \cdot \left ( \frac{1}{n!} \right ) \cdot \left ( \frac{1}{2} \right )^n \cdot \left ( \frac{1}{3} \right )^{2n+1} (1)(3) \cdots (2n-1) \quad \text{for n = 1, 2, \dots}
[/tex]

Note the restriction on [itex]n[/itex] for the general term.

During the construction, this would have been obvious, but it is still sloppy to drop a general expression that doesn't intuitively work for all implied cases.

And, of course, if they really wanted to confuse you, they could have correctly replaced the repeated multiplications with the "double-factorial" term
[tex]
(|2 \cdot n -1| )!
[/tex]

but I'll leave it at that.
 
  • #3
thank you very much :)
 

1. What is a Taylor series and why is it important?

A Taylor series is a mathematical representation of a function as an infinite sum of terms, with each term representing the function's derivatives evaluated at a specific point. It is important because it allows us to approximate and calculate the value of a function at a specific point, which can be useful in various fields such as physics, engineering, and finance.

2. What is the problem with Taylor series?

The problem with Taylor series is that it is an infinite series, meaning that to obtain an exact value of a function, we would need to sum an infinite number of terms. This can be computationally expensive and impractical, especially when dealing with more complex functions.

3. How accurate is the Taylor series approximation?

The accuracy of the Taylor series approximation depends on the number of terms used in the series. The more terms we use, the closer the approximation will be to the actual value of the function. However, as mentioned before, using a large number of terms can be computationally expensive and may not always be feasible.

4. Can Taylor series be used for all types of functions?

No, Taylor series can only be used for functions that are infinitely differentiable, meaning that they have derivatives of all orders at every point. Functions that are not infinitely differentiable, such as piecewise functions or functions with discontinuities, cannot be accurately represented by Taylor series.

5. Are there any alternatives to using Taylor series for function approximation?

Yes, there are several alternatives to using Taylor series for function approximation, such as using other types of series, such as Fourier series or Laurent series, or using numerical methods like interpolation or regression. The choice of method depends on the specific function and the level of accuracy required.

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