Inverse cosine of complex numbers

I'm trying to get the inverse cosine of a complex number. Using the definition given in the help of acos(z) produces a different result than directly using acos. See below for the code snippet. Can someone help me out?
format LONGENG
z = 0.625820036622262+1.576125391478034E-055i;
res1 = acos(z)
d = z + i*sqrt(1-(z*z))
res2 = -i*log(d)

回答(1 个)

I know why!
You were close, but you didn't quite replicate the definition in the documentation correctly.
This is how you would write it.
d = z + i*sqrt(1-z*z)
res2 = -i*log(d)
Using this corrected definition, I get approximately 0.894613863 + ~0i for both answers.
First Method Solution: 0.894613863926113 - 2.02075780910344e-55i
Second Method Solution: 0.894613863926114 + 1.11022302462516e-16i
Bother of the i values are near negligible in magnitude relative to the real part.
Hope this helped!
-Andrew

4 个评论

Well, I don't know what you corrected. I get the same answers as yours. My question is why the imaginary part is different: -2.02075780910344e-55i vs. 1.11022302462516e-16i?
For my problem, I do not care about approximately being same, I want precisely the same answer from both methods. How is the internal MATLAB implementation different than the definition?
You can't expect them to be exactly equal: since the computation of the imaginary part involves the real part, you can expect the result only be precise up to the numerical roundoff (which is in fact what Andrew got as result, namely
eps(0.89)
ans =
1.1102e-16
Titus
Can we know how acos is implemented within MATLAB for them to get -2.02075780910344e-55i? Clearly it must some numerical implementation -
For some reason I thought your square root function was only taking the square root of z^2. Unless you edited the question, I just made an honest mistake saying you typed it wrong I guess.

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2014-10-9

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