Simplifying Taylor Formula: How to Generalize for Any Nth Derivative?

In summary: You are not even talking about anything to do with the original question.I am not asking about distributions, i am just asking about functions that are n times differentiable. Can we find a formula for the nth derivative. That is all. Please, please, please stop polluting other people's threads. Thank you.In summary, the conversation discusses the Taylor formula, which can evaluate a function around a given point. However, this formula does not work when considering higher order terms. To solve this issue, the conversation explores the idea of writing the function as a polynomial of the form P_n(h) and deriving coefficients for this polynomial. The conversation also discusses the method of finding these coefficients through repeated differentiation. There is a brief tangent about
  • #1
sutupidmath
1,630
4
Taylor formula. Need help!

we have f(a+h), where a-is a point, and h is a very small term, h->0. And we have the formula to evaluate the function y=f(x), around the point a, which is

f(a+h)=f(a)+f'(a)h+o(h) --------(*)

however when we want to take in consideration o(h) this formula does not work, so we want to come up with sth more appropriate. So we want to write it in terms of the value of a polynom of the form

P_n(h)=b_1+b_2h+b_3h^2+...+b_n h^n,where b-s are coeficients, that are not depended on h.
So it also says that when h->0, than
f(a+h)=P_n(h)+o(h^n)
When we have n=1, than the value of the polynom is f(a)+f'(a)h, according to (*). What i do not understand comes right here, when we want to generalize this for n.
It says that if the n-th derivative of f(x) exists, in particular f^(n) (a), than the polynom can be written like this, or actually the polynom is:

P_n(h)=f(a)+[f'(a)h/1!]+[f"(a)h^2/2!]+...+[(f^(n) (a)/n!)h^n],

Now my question is how did we come to this? In particular wher did we, or how did we derive this coefficients like f'(a)/1! , f"(a)/2! etc?


I would really appreciate anyones help!
For two days i am stuck with this, i cannot just fathom it.

Thnx in return
 
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  • #2
We did it by presuming that such an expansion exists, then trying to work out how to get the terms in the expansion.

Suppose

[tex] f(x)=a_0 + a_1 x + a_2 x^2 + \ldots +a_n x^n + \ldots[/tex]so an infinite series of powers. How do you find a_0, now how aobut a_1?
 
  • #3
matt grime said:
We did it by presuming that such an expansion exists, then trying to work out how to get the terms in the expansion.

Suppose

[tex] f(x)=a_0 + a_1 x + a_2 x^2 + \ldots +a_n x^n + \ldots[/tex]


so an infinite series of powers. How do you find a_0, now how aobut a_1?


I guess it should be easy to find those terms,but i must be too stupid because i cannot find them. Moreover i have no idea on how to begin.

And if you could suggest me where i could find some material about these things??

Thnx
 
  • #4
or, i have an idea on how to find those terms. I think it has to do something with the binomial expansion, using Newton's formula right?

so, let's say the a_0 term will be n!/n!*0! multiplied by something, or the a_1 will be n!/(n-n+1)!*(n-1)! multiplied by sth.

I do not really know if i am on the right track,i doubt it though.

Can you give me some more help!
 
  • #5
You have

[tex] f(x)=a_0 + a_1 x + a_2 x^2 + \ldots +a_n x^n + \ldots[/tex]

What happens if you differentiate both sides of that equation?
 
  • #6
(I copied and pasted this from another reply I made in a different thread last week)

This is the way I think about it.

imagine that a function f(x) can be written as a power series in x about x=0

[itex] f(x)=A_0 +A_1 x+A_2 x^2+A_3 x^3 +...[/itex]

Then you can find the constants [itex]A_0,A_1,A_2...[/itex] from repeated differentiation.

Finding A0 is the easiest

[itex]f(x=0)=A_0[/itex]

because, when x=0 all the other terms are zero.

Next, find A1

[itex]df(x)/dx=A_1+2A_2x+3A_3x^2+...[/itex]
So, at x=0
[itex]\frac{df(x)}{dx} (x=0)=A_1[/itex]

Then find A2

[itex]\frac{d^2f(x)}{dx^2}=2A_2+6A_3x+24A_4x^2+...[/itex]

When x=0
[itex]\frac{d^2f(x)}{dx^2}(x=0)=2A_2[/itex]

And so on.

You now substitute in the values of A0,A1,A2 etc to get
[itex]f(x)=f(0)+\frac{df}{dx} x +1/2 \frac{d^2f}{dx^2} x^2+1/6 \frac{d^2 f}{dx^3} x^3+...[/itex]

where the derivatives are evaluated at (x=0)
 
  • #7
sutupidmath said:
I guess it should be easy to find those terms,but i must be too stupid because i cannot find them. Moreover i have no idea on how to begin.


Didn't you think about what you wrote in your own first post? You know that to find the n'th term you differentiate n times and put in 0. You said that. All I wanted to show you was why that 'worked'.
 
  • #8
But...to develop a Tayor series..must f(x) be 'strictly' differentiable ??.. i mean perhaps what would happen if for example the n-th derivative of f(x) exist but only in the sense of a 'distribution' ?? let's say:

[tex] \frac{d^{n} f(x)}{dx^{n}}= \delta (x) ^{n}=(-1)^{n}\phi (0) [/tex]
 
  • #9
For pity's sake Jose, won't you stop polluting other people's threads?
 

1. What is the Taylor formula?

The Taylor formula, also known as the Taylor series, is a mathematical representation of a function as an infinite sum of terms, each of which is a derivative of the function evaluated at a specific point.

2. What is the purpose of the Taylor formula?

The Taylor formula is used to approximate a function with a polynomial expression, making it easier to evaluate and manipulate. It is especially useful for functions that are difficult to work with directly, such as trigonometric functions.

3. How do you calculate the Taylor formula?

To calculate the Taylor formula, you need to know the function you want to approximate, the point at which you want to evaluate the formula, and the number of terms you want to include in the series. Then, you can use the formula to find the coefficients for each term and add them together to get the final approximation.

4. What is the difference between the Taylor formula and the Maclaurin formula?

The Maclaurin formula is a special case of the Taylor formula, where the point of evaluation is set to 0. This means that the Maclaurin formula can be used to approximate a function around the origin, while the Taylor formula can be used to approximate a function at any point.

5. What are some common applications of the Taylor formula?

The Taylor formula is commonly used in calculus, physics, and engineering to approximate functions that are difficult to work with directly. It is also used in numerical analysis to find solutions to equations and in computer science to develop algorithms for data analysis and machine learning.

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