Solve 3rd Degree Taylor Polynomial for \sqrt[ ]{9.03}

  • Thread starter Thread starter Telemachus
  • Start date Start date
  • Tags Tags
    Polynomials
Join the discussion
Ask a follow-up here, or get your own question answered by working scientists, mathematicians and engineers — people, not an autocomplete.
Real named experts · corrections over time · the nuance an AI answer skips
10 replies · 2K views
Telemachus
Messages
820
Reaction score
30

Homework Statement


Find an approximated value for [tex]\sqrt[ ]{9.03}[/tex] using a Taylors polynomial of third degree and estimate the error.

Homework Equations




The Attempt at a Solution


I thought of solving it by using

[tex]f(x)=\sqrt[]{x}[/tex] centered at [tex]x_0=9[/tex]

So

[tex]P_n(x)=3+\dysplaystyle\frac{(x-9)}{6}-\dysplaystyle\frac{(x-9)^2}{216}+\dysplaystyle\frac{3(x-9)^3}{3888}[/tex]

Then I evaluated it at x=9.03, so I get:

[tex]P_n(x)=3+\dysplaystyle\frac{(0.3)}{6}-\dysplaystyle\frac{(0.3)^2}{216}+\dysplaystyle\frac{3(0.3)^3}{3888}\approx{3.049604167}[/tex]

I don't know if this is right, I've tried with the calculator and it gives 3.00500... Now, how do I estimate the error? just by resting to the value the calculator gives the one I get?
 
Physics news on Phys.org
****, thanks haha
 
For the error estimate, there's a formula for the error in approximating a Taylor series by the first n terms (terms up through degree n). If my memory is correct, it looks something like this.

[tex]R_n(x)= \frac{f^{n + 1}(c)}{(n + 1)!}(x - a)^{n + 1}[/tex]

Since it is usually impossible to determine c (which is between x and a), in practice, one finds an upper bound on |f(n+1)(x)|.
 
Thank you Mark. I think I get it.

Here it is:

[tex]R_{n+1}(x)=\displaystyle\frac{-15(x-9)^4}{4!16\sqrt[ ]{\alpha}}[/tex]

[tex]\alpha=9+0.03\theta[/tex], [tex]\theta\in{(0,1)}[/tex]
 
Last edited:
Mark44 said:
For the error estimate, there's a formula for the error in approximating a Taylor series by the first n terms (terms up through degree n). If my memory is correct, it looks something like this.

[tex]R_n(x)= \frac{f^{n + 1}(c)}{(n + 1)!}(x - a)^{n + 1}[/tex]

Since it is usually impossible to determine c (which is between x and a), in practice, one finds an upper bound on |f(n+1)(x)|.

I could be wrong, but shouldn't this be an inequality? That's how I remember it.
 
It can be thought as inequality like this:

[tex]|R_n(x)|= |\frac{f^{n + 1}(c)}{(n + 1)!}(x - a)^{n + 1}|\leq{}\displaystyle\frac{(x-a)^{n+1}}{(n+1)!} k[/tex]
Where [tex]k=max{f(b) \textsf{ such that b} \in{[x,a]}[/tex]
 
Last edited:
jegues said:
I could be wrong, but shouldn't this be an inequality? That's how I remember it.

The various forms of the Taylor remainder are generalizations of the mean value theorem to higher derivatives and higher degree polynomials -- the remainder is exactly equal to the given expression for some point c in a known interval.

Typical practical applications find the maximum over the entire interval, and then use that as an upper bound on the true remainder.
 
Hurkyl said:
The various forms of the Taylor remainder are generalizations of the mean value theorem to higher derivatives and higher degree polynomials -- the remainder is exactly equal to the given expression for some point c in a known interval.

Typical practical applications find the maximum over the entire interval, and then use that as an upper bound on the true remainder.

Thank you both, Mark and Hurkyl for clearing things up!