How parentheses effects multiplication with pi ?

Hi,
I am trying to generate sine wave. I am usning following two code lines. But they are slightly different (about e-15). Why is it happenning ? What is the differences of two lines;
f0=5e2;
fs=500e2;
len=3e3;
dt=1/fs;
t=0:dt:(len-1);
sing1= sin (2*pi*f0*t);
sing2= sin(2*pi*(f0*t));
isequal(sing1,sing2)
Thanks for your help,

 Respuesta aceptada

Bruno Luong
Bruno Luong el 5 de Ag. de 2020
Editada: Bruno Luong el 5 de Ag. de 2020

0 votos

"While floating-point addition and multiplication are both commutative (a + b = b + a and a × b = b × a), they are not necessarily associative. That is, (a + b) + c is not necessarily equal to a + (b + c). ... "
  • "(2*pi*f0*t)" interpreted by MATLAB as ((2*pi)*f0)*t
  • "2*pi*(f0*t)" interpreted by MATLAB as (2*pi)*(f0*t)
As floating-point multiplication is NOT ASSOCIATIVE, both results might be different.

5 comentarios

Emre Doruk
Emre Doruk el 5 de Ag. de 2020
Thanks for your answer. But I have another one now, Which one is more accurate for simulating a sine wave ? Which one I should go for ?
Bruno Luong
Bruno Luong el 5 de Ag. de 2020
Editada: Bruno Luong el 5 de Ag. de 2020
Hard to tell, IMO (2*pi)*(f0*t) is better since f0*t make multiplcation of 2 quantities of inverse unit 1/s and s.
The first one if rad/s and s, so less homogeneous. But I guess both is OK.
Another reason I vote for (2*pi)*(f0*t) is that for some implement of trigonometric functions, it checks input for roundness of pi/2, pi, 2*pi, so it's better you multiply (2*pi) as last operation.
If your code is sensitive to such small errors, then it's not stable and might be you have to revise the algorithm itself.
Note that (floating) multiplication of three numbers a*b*c where at least one is power of 2 is always associative.
Emre Doruk
Emre Doruk el 5 de Ag. de 2020
Thanks for your answer, again. I can see your point.
Bruno Luong
Bruno Luong el 5 de Ag. de 2020
Sometime this non-associativity is a real headeach, such as finding a limits of a sign- alternate series by partial sum, or integral of an oscillated signal (any wave propagation SW might encounters this). There is a real challenge to know what really the limits and the order of the sum can make the result change widely.
Emre Doruk
Emre Doruk el 5 de Ag. de 2020
Actually I realized it recently, I thougth this problem is about pi. Because it is irrational and maybe MATLAB coverge it sth. I asked for this reason but I see that it is more common from this. I should check all of my old codes which needs exact values. Genereally it can be accept like precision mistake but sometimes I really need exact value.

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Más respuestas (1)

madhan ravi
madhan ravi el 4 de Ag. de 2020

0 votos

In the first the order of operation is from left to right.
In the second the order of operation is inside the parenthesis and then the outer.

7 comentarios

madhan ravi
madhan ravi el 4 de Ag. de 2020
BODMAS
Emre Doruk
Emre Doruk el 5 de Ag. de 2020
Thaks for your answer.
I think not about that. Because it is the same oparetaion, left to right or the right to left.
Let f0=5e3;
t=1:1:100;
sing1= sin (2*pi*f0*t);
sing2= sin(2*pi*(f0*t));
fo*t and (f0*t) gives same output. So they are same vector. How same vector gives different output? The difference is about 3e-14 but still it is different.
madhan ravi
madhan ravi el 5 de Ag. de 2020
Editada: madhan ravi el 5 de Ag. de 2020
Click on the tag floating-point. And read my answer once again.
Emre Doruk
Emre Doruk el 5 de Ag. de 2020
I did not understant what you mean. Variable format is already double.
Stephen23
Stephen23 el 5 de Ag. de 2020
Editada: Stephen23 el 5 de Ag. de 2020
"Because it is the same oparetaion, left to right or the right to left. "
No, that is incorrect.
In general operations on binary floating point numbers are NOT associative:
A classic example of this is called catastrophic cancelation:
>> (1 + 1e100) - 1e100
ans =
0
>> 1 + (1e100 - 1e100)
ans =
1
"Why is it happenning?"
Because of the well-documented properties of binary floating point numbers.
Emre Doruk
Emre Doruk el 5 de Ag. de 2020
Thanks for your clear expleantion.
madhan ravi
madhan ravi el 5 de Ag. de 2020
Thanks Stephen:)

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