MATLAB Optimizing Taylor Series Approximations in Matlab for Trigonometric Functions

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The discussion focuses on optimizing a MATLAB script to calculate the Taylor series approximation of the function f(x) = 5sin(3x) for different numbers of terms (n=2, 5, 50) without using the built-in sum function. Participants suggest plotting the approximations alongside the exact function and calculating the relative true error for each approximation. To determine the necessary number of terms for an error less than 0.000001, the remainder term of the Taylor series is recommended for analysis. Additionally, evaluating the Taylor series at specific points (x=π and x=3π/2) to find the error is discussed. The conversation emphasizes the importance of correctly implementing the Taylor series and suggests defining derivatives manually if built-in functions are not used.
NYK
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I have been working on writing g a script file that will:

  1. Calculate f(x)=5sin(3x) using the Taylor series with the number of terms n=2, 5, 50, without using the built-in sum function. 
  2. Plot the three approximations along with the exact function for x=[-2π 2π]. 
  3. Plot the relative true error for each of the approximations 
  4. Calculate the value of sin(x) and the error for x=π and x=3π/2 for each of the approximations 
  5. How many terms are necessary for an error E<.000001?
I have been able to get as far as the third part of the question, any advice, tips or pointers are greatly appreciated!

I pasted the script I have so far bellow:

clear, clc, close all
%Define the limits, the original function and the Taylor series.
syms x

a = -2*pi:2*pi;

g = (5*sin(3*x));

T_2 = taylor(g, 'Order', 2);

T_5 = taylor(g, 'Order', 5);

T_50 = taylor(g, 'Order', 50);

z = (5*sin(3*a));%plot the original function and the three Taylor series.

fg=figure;
ax=axes;
ez1=plot(a,z, 'r--');
hold on
ez2=ezplot(char(T_2),[-2*pi, 2*pi]);
ez3=ezplot(char(T_5),[-2*pi, 2*pi]);
ez4=ezplot(char(T_50),[-2*pi, 2*pi]);

legend('5sin(3x)','T2','T5','T50')

set(ez2, 'color', [0 1 0])
set(ez3, 'color', [0 0 1])
set(ez4, 'color', [1 0 1])title(ax,['Graph of 5sin(3x) and taylor expansions T2, T5 and T50'])
 
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for part 4, you should just evaluate the taylor series at the points mentioned and subtract that from the true value.
Once you have done that, you can set up a script to try different values for 'order' until you reach the accuracy needed.
 
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3. "Relative true error" to me just sounds like you're plotting the absolute difference between the approximations and the true values.

4. Pretty self explanatory, I'm with RUber on this one ^^.

5. Use the remainder term to figure this out. See the following links:

http://en.wikipedia.org/wiki/Taylor's_theorem#Motivation

http://www.millersville.edu/~bikenaga/calculus/remainder-term/remainder-term.html
 
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If you wanted to do this without the built in Taylor functions, you could define the derivatives of g:
g(x)= 5sin(3x)
d(n,g(x))=5*3^n*sin(3x+n*pi/2)
and the taylor series is
(x-x_0)^n/n!*d(n,g(x_0)).
Often, the series is evaluated at x_0 = 0...which produces a pretty simple result for the sine function.
 
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Thanks RUber, you are compltely correct, I read the problem statement a little more closely and releaized i wasnt do it correct.

So I've tried working with this:

clear;clc

n =[2 5 50]
do=linspace(-2*pi,2*pi,720);
for i =1:720

for k=1:1:50
ns=2*k+1
T(i)=T(i)+5*(-1)^k*(3*do(i))^(ns)/factorial(ns);
end
endhavent had any luck with it so far though
 

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