How to Use Loops in MATLAB for Maclaurin Series Approximation?

Click For Summary

Discussion Overview

The discussion revolves around using loops in MATLAB to approximate the cosine function using the Maclaurin series. Participants explore different methods to implement this approximation, focusing on achieving a specified accuracy with a limited number of terms. The conversation includes technical details about MATLAB coding practices and error tolerance considerations.

Discussion Character

  • Technical explanation
  • Mathematical reasoning
  • Homework-related
  • Debate/contested

Main Points Raised

  • One participant seeks guidance on using loops in MATLAB for the Maclaurin series approximation of cos(x) and shares their initial code implementation.
  • Another participant suggests leveraging MATLAB's matrix manipulation capabilities to streamline the approximation process, proposing a different coding approach using arrays.
  • A third participant recommends using a while loop to iteratively calculate terms of the Maclaurin series until the desired error tolerance is met, emphasizing the importance of reusing previous terms to avoid errors.
  • Several participants inquire about the derivation and purpose of the error tolerance variable, epsilon_s, used in the calculations.
  • A participant introduces a separate problem regarding perfect numbers and requests assistance with a different MATLAB program, indicating a shift in focus from the original topic.
  • One participant provides a detailed explanation of their MATLAB code for approximating Maclaurin series, including considerations for error and the number of terms needed.
  • Another participant briefly mentions the factorial function in MATLAB, possibly in response to earlier discussions about its use in series calculations.

Areas of Agreement / Disagreement

Participants express varying approaches to the problem, with no consensus on a single method for implementing the Maclaurin series approximation in MATLAB. Multiple competing views on coding strategies and error handling remain evident throughout the discussion.

Contextual Notes

Some participants mention limitations related to the number of terms in the series and the potential for errors in manual term entry. The discussion also highlights the need for clarity in defining error tolerance and its implications for the accuracy of the approximation.

ibjeepn247365
Messages
1
Reaction score
0
Hi, hopefully you guys can point me in the right direction. The problem says to determine the number of terms necessary to approximate cos(x) to 8 significant digits using Maclaurin series approximation for x = .3*pi. I don't really have a problem with the actually question, my problem comes when we have to do this in matlab. I have come up with something in MATLAB that gives me the answer but wondering if I could use a for or while loop to make it shorter because it seems like there is another way to do it. Thank you for your help in advance. This is a rough copy of MATLAB and just to see if I got the right anser.
n = 8; %Significant Digits
x = .3*pi;
format long
epsilon_s = (.5*10^(2-n));
maclaurin_1 = 1;
maclaurin_2 = 1 - x^2/2;
maclaurin_3 = 1 - x^2/2 + x^4/factorial(4);
maclaurin_4 = 1 - x^2/2 + x^4/factorial(4) - x^6/factorial(6);
maclaurin_5 = 1 - x^2/2 + x^4/factorial(4) - x^6/factorial(6) + x^8/factorial(8);
maclaurin_5 = 1 - x^2/2 + x^4/factorial(4) - x^6/factorial(6) + x^8/factorial(8)...
-x^10/factorial(10);
maclaurin_6 = 1 - x^2/2 + x^4/factorial(4) - x^6/factorial(6) + x^8/factorial(8)...
-x^10/factorial(10) + x^12/factorial(12);
epsilon_a_1 = (maclaurin_2 - maclaurin_1)/maclaurin_2;
epsilon_a_2 = (maclaurin_3 - maclaurin_2)/maclaurin_3;
epsilon_a_3 = (maclaurin_4 - maclaurin_3)/maclaurin_4;
epsilon_a_4 = (maclaurin_5 - maclaurin_4)/maclaurin_5;
epsilon_a_5 = (maclaurin_6 - maclaurin_5)/maclaurin_6;
if abs(epsilon_a_1) < epsilon_s
fprintf('True1\n');
end
if abs(epsilon_a_2) < epsilon_s
fprintf('True2\n');
end
if abs(epsilon_a_3) < epsilon_s
fprintf('True3\n');
end
if abs(epsilon_a_4) < epsilon_s
fprintf('True4\n');
end
if abs(epsilon_a_5) < epsilon_s
fprintf('True5\n');
end
 
Physics news on Phys.org
I would properly take a little advantage of matlabs matrix manipulation:
Code:
n = 8; %Significant Digits
x = .3*pi;
epsilon_s = (.5*10^(2-n));
Res(1,1) = 1;
Res(2,1) = 1 - x^2/2;
Res(3,1) = 1 - x^2/2 + x^4/factorial(4);
Res(4,1) = 1 - x^2/2 + x^4/factorial(4) - x^6/factorial(6);
Res(5,1) = 1 - x^2/2 + x^4/factorial(4) - x^6/factorial(6) + x^8/factorial(8);
Res(6,1) = 1 - x^2/2 + x^4/factorial(4) - x^6/factorial(6) + x^8/factorial(8) -x^10/factorial(10);
Res(7,1) = 1 - x^2/2 + x^4/factorial(4) - x^6/factorial(6) + x^8/factorial(8) -x^10/factorial(10) + x^12/factorial(12);
for i = 1:6
Res(i,2) = (Res(i+1,1) - Res(i,1))/Res(i+1,1);
Res(i,3) = Res(i,2) - epsilon_s;
end
disp('      maclaurin_i           e_i               e_i-e_s')
disp(Res)
for j = 1:6
if abs(Res(j,2)) < epsilon_s
disp('Error is OK for i ='); disp(j)
end
end
 
Code:
clear all; 
n = 8; %Significant Digits
x = .3*pi;
format long
epsilon_s = (.5*10^(2-n));
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
epsilon = 100; maclaurin(1) = 1;
i=1;
while epsilon > epsilon_s  % Loop until the error is small enough
i=i+1;
% use the actual formula since we have the first n-1 terms in the sum already
maclaurin(i) = maclaurin(i-1) + (-1)^(i-1)*x^(2*(i-1))/factorial(2*(i-1));
epsilon = abs((maclaurin(i)-maclaurin(i-1))/maclaurin(i));
end
disp(['Error is OK for i = ', num2str(i)]);
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

Better to use the actual formula for the expansion than type out every term, otherwise you may make a typo as you did in the 5th term. And since you reuse the first n-1 terms each time, just take the previous answer and add one new term to it to simplify things.
 
hey guys anyone reply me the solution for the below problem ASAP.
can i ve a program to find the perfect numbers using this relationship
Mp=2^p-1 where Mp is the mersenne prime and p is the integer and the relationship related to perfect number is n=0.5(Mp+1)Mp=[2^(p-1) ]*((2^p)-1)
 
Where do you get the epsilon_s= (.5*10^(2-n)); from?
 
you mean you need someone to show you how to generally define the Maclaurin Series coefficient so you can implement your partial sum as the previous loop's sum plus another term?
 
Well, it looks like that epsilon_s term is some kind of tolerance for the accuracy. How was that expression derived?
 
I will show you all the program. I hope you found it interesting. Really, I am a new user of matlab, but also, i needed make it of homework. I have done it in spanish because I am mexican.


PROBLEMA:
Determinar las series de Maclaurin de las funciones f(x)=Seno(x) y g(x)=Coseno(x). ¿Cuantos términos se requieren para representar f(x) y g(x)?, dentro del intervalo -5<=x<=5, con un error inferior a 0.001

EXPLICACION DEL CODIGO ELABORADO:

1.-La funcion a la que se pretende obtener el polinomio de maclaurin es denominada fx. Cabe recordar que esta funcion debe ser trigonometrica, logaritmica o exponencial, para que se forme en todos los terminos de la serie el polinomio.

2.- Se recomienda que el numero inicial de terminos que se den a la serie sea de máximo 5. Si, por ejemplo realiza la primer corrida del programa, con n=4, y el resultado es n=4, puede ser que para ese valor de n terminos del polinomio, sean mas de los necesarios para adquirir la tolerancia deseada. Se esto sucede se recomienda probar con un número de "n" menor.

3.- "C" es el valor del punto en el cual se evalua la proximidad (tolerancia) del polinomio y la funcion original. Recordar que la serie de Maclaurin es un caso particular de la serie de Taylor en x=0. Por este motivo no es necesario agregar otro punto, you una serie de maclaurin siempre es simétrica con respecto al eje "y".

IMPORTANTE:

La capacidad del programa elaborado es limitada, debido a la cantidad de terminos que se involucran en los factoriales cada vez que crece la serie.

CODIGO EN MATLAB:

clf,
clear screen,
syms('x','y','fx','fxm','gh','fnx');
%%%%%%%%%%%%%%%%%%%%% D A T O S D E E N T R A D A %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
fx=cos(x);%ESTA ES LA FUNCION EN LA FUNCION A LA CUAL SE LE OBTIENE LA SERIE DE MACLAWRIN
n=5;%ESTE ES EL NÚMERO INICIAL DE TERMINOS DE LA SERIE (MENOS DE 5)
c=6;%PUNTO EN EL CUAL SE EVALÚA EL ERROR)
tolerancia=.001;%TOLERANCIA PERMITIDA PARA EL POLINOMIO (EN EL PUNTO C)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
fnx(1,1)=subs(fx,0);
gh(1,1)=subs(fx,0);
for i=1:n
fnx(i+1,1)=(diff(fx,i))/(factorial(i)), gh(i+1,1)=(subs(fnx(i+1,1),0))*x^i,
end
fxm=sum(gh);
d=abs(subs(fxm,c));
e=abs(subs(fx,c));
error=abs(d-e),
while error > tolerancia
n=n+1
fnx(n,1)=((diff(fx,n))/(factorial(n))),
gh(n,1)=((subs(fnx(n,1),0))*x^n);
fxm=sum(gh),
d=abs(subs(fxm,c)),
e=abs(subs(fx,c)),
error=abs(d-e)
end
f1=-(abs(c)+1);f2=abs(c)+1;
f=f1:0.1:f2;f3=subs(fx,x,f);
ezplot(fxm,f); hold on;
plot(f,f3,'m'),
clc
disp(' este es el polinomio de Maclaurin ')
pretty(fxm)
disp('el número de términos requeridos para la serie son'),n
error
legend('serie de Maclaurin','Función original')


SALUDOS DESDE MEXICO
 
factorial in matlab
 

Similar threads

  • · Replies 3 ·
Replies
3
Views
5K
  • · Replies 10 ·
Replies
10
Views
3K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 5 ·
Replies
5
Views
2K
  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 1 ·
Replies
1
Views
3K
  • · Replies 2 ·
Replies
2
Views
4K
  • · Replies 8 ·
Replies
8
Views
3K
  • · Replies 6 ·
Replies
6
Views
4K
Replies
1
Views
3K