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Date: 23-3-2021
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Date: 14-2-2016
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The Cauchy distribution, also called the Lorentzian distribution or Lorentz distribution, is a continuous distribution describing resonance behavior. It also describes the distribution of horizontal distances at which a line segment tilted at a random angle cuts the x-axis.
Let represent the angle that a line, with fixed point of rotation, makes with the vertical axis, as shown above. Then
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(1) |
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(2) |
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(3) |
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(4) |
so the distribution of angle is given by
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(5) |
This is normalized over all angles, since
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(6) |
and
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(7) |
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(8) |
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(9) |
The general Cauchy distribution and its cumulative distribution can be written as
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(10) |
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(11) |
where is the half width at half maximum and
is the statistical median. In the illustration about,
.
The Cauchy distribution is implemented in the Wolfram Language as CauchyDistribution[m, Gamma/2].
The characteristic function is
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(12) |
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(13) |
The moments of the distribution are undefined since the integrals
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(14) |
diverge for .
If and
are variates with a normal distribution, then
has a Cauchy distribution with statistical median
and full width
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(15) |
The sum of variates each from a Cauchy distribution has itself a Cauchy distribution, as can be seen from
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(16) |
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(17) |
where is the characteristic function and
is the inverse Fourier transform, taken with parameters
.
REFERENCES:
Papoulis, A. Probability, Random Variables, and Stochastic Processes, 2nd ed. New York: McGraw-Hill, p. 104, 1984.
Spiegel, M. R. Theory and Problems of Probability and Statistics. New York: McGraw-Hill, pp. 114-115, 1992.
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