Why does the Residue function returns complex coefficients of a rational function....??

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Hi
Even though I ensured that all my poles ,residues are complex conjugate pairs and the direct term is real, the residue function returns complex coefficients. May I know the reason why this is happening in matlab.
For eg:
Poles=[ -0.297252868065168 - 11.6108351815607i -0.297252868065168 + 11.6108351815607i -19.9444674513931 - 8.76592887488931i -19.9444674513931 + 8.76592887488931i -8.52965151869893 - 23.6423888144931i -8.52965151869893 + 23.6423888144931i];
Res=[ -0.219160922557423 + 0.314530473001705i -0.219160922557423 - 0.314530473001705i 3.62282522955231 + 177.563841204173i 3.62282522955231 - 177.563841204173i -4.53489652493515 - 28.5303076418931i -4.53489652493515 + 28.5303076418931i];
Direct_term=0.00210679058580560;
[b a]=residue(Res,Poles,Direct_term);
Why am I getting complex co-eff in 'b' ?? Please let me know asap....
Thanks Venu

Respuestas (1)

the cyclist
the cyclist el 15 de Oct. de 2011
Looks to me that the imaginary parts are tiny, and are just computer round-off error.
  4 comentarios
venu
venu el 15 de Oct. de 2011
The below are the numerator coefficients which is the output of the above code
b=[
0.00210679058580560 + 0.00000000000000i
-10.3135389504971 + 0.00000000000000i
669.131286493158 + 0.00000000000000i
-28627.7202535250 + 0.00000000000000i
734688.410571537 + 0.00000000000000i
-13659002.1713074 + 0.00000000000000i
245090589.254096 + 4.76837158203125e-07i
-2729141300.24354 + 7.62939453125000e-06i
37871334625.4884 - 7.62939453125000e-06i
-268822943451.791 + 0.00146484375000000i
3021233412244.70 + 0.00000000000000i
-12880358576851.8 - 0.0312500000000000i
120988980636702 + 0.125000000000000i
-239081416369462 - 0.437500000000000i
1.92634225464627e+15 + 1.75000000000000i];
please help
the cyclist
the cyclist el 15 de Oct. de 2011
venu, when I run that code, I get that the largest imaginary part is 15 orders of magnitude smaller than the largest real part. I still believe this is roundoff error.
If you need better that this, then maybe you need to solve this analytically, and not numerically. I don't know for sure, but maybe the Symbolic Math Toolbox handles this.

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