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

4 ビュー (過去 30 日間)
venu
venu 2011 年 10 月 15 日
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

回答 (1 件)

the cyclist
the cyclist 2011 年 10 月 15 日
Looks to me that the imaginary parts are tiny, and are just computer round-off error.
  4 件のコメント
venu
venu 2011 年 10 月 15 日
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 2011 年 10 月 15 日
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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