How can I determine which roots are closest to the unit circle?
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Murdifi Bin Muhammad
on 11 Jan 2019
Commented: Murdifi Bin Muhammad
on 13 Jan 2019
Hi all!
I have a problem that I'm currently facing. Lets say I have a column vector (6x1) in which all elements provides me the roots of a polynomial.
For example,
root_out = 6×1 complex
-2.446362435057714 - 0.000000000000002i
-0.408770174717145 - 0.000000000000000i
0.862312857431274 - 0.529586047198464i
0.842065522070228 - 0.517151225883085i
0.862312857431279 + 0.529586047198471i
0.842065522070224 + 0.517151225883078i
Out of this list (Which may vary in size for its rows), how do I determine which root_out elements (could be more than 1) are closest to the unit circle efficiently? (Maybe in something like a search/range function?)
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Accepted Answer
Jan
on 11 Jan 2019
Edited: Jan
on 11 Jan 2019
x = [ -2.446362435057714 - 0.000000000000002i, ...
-0.408770174717145 - 0.000000000000000i, ...
0.862312857431274 - 0.529586047198464i, ...
0.842065522070228 - 0.517151225883085i, ...
0.862312857431279 + 0.529586047198471i, ...
0.842065522070224 + 0.517151225883078i, ...
0.842065522070228 - 0.517151225883085i]; % Repeated 4th line
r = abs(x);
d = abs(r - 1);
index = (d == min(d));
result = x(index)
Now result contains the value(s), which are nearest to the unit circle. I've repeated the 4th value to test the output of multiple minimal values.
More Answers (1)
Torsten
on 11 Jan 2019
[~,ix] = min(abs(real(root_out).^2+imag(real_out).^2-1)./sqrt(real(root_out).^2+imag(real_out).^2));
root_out(ix)
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