279 lines
4.4 KiB
Markdown
279 lines
4.4 KiB
Markdown
---
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title: "Classical probability density"
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chunk: 2/2
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source: "https://en.wikipedia.org/wiki/Classical_probability_density"
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category: "reference"
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tags: "science, encyclopedia"
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date_saved: "2026-05-05T13:41:34.829381+00:00"
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instance: "kb-cron"
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---
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== Momentum-space distribution ==
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In addition to looking at probability distributions in position space, it is also helpful to characterize a system based on its momentum. Following a similar argument as above, the result is
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P
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p
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)
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=
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2
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T
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1
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F
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(
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x
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)
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,
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{\displaystyle P(p)={\frac {2}{T}}{\frac {1}{|F(x)|}},}
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where F(x) = −dU/dx is the force acting on the particle as a function of position. In practice, this function must be put in terms of the momentum p by change of variables.
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=== Simple harmonic oscillator ===
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Taking the example of the simple harmonic oscillator above, the potential energy and force can be written as
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U
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x
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k
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x
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2
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,
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{\displaystyle U(x)={\frac {1}{2}}kx^{2},}
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F
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−
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k
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x
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=
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k
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U
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k
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m
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2
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m
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E
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−
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p
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2
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)
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.
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{\displaystyle |F(x)|=|-kx|={\sqrt {2kU(x)}}={\sqrt {{\frac {k}{m}}(2mE-p^{2})}}.}
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Identifying (2mE)1/2 = p0 as the maximum momentum of the system, this simplifies to
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P
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p
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1
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π
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p
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p
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.
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{\displaystyle P(p)={\frac {1}{\pi }}{\frac {1}{\sqrt {p_{0}^{2}-p^{2}}}}.}
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Note that this has the same functional form as the position-space probability distribution. This is specific to the problem of the simple harmonic oscillator and arises due to the symmetry between x and p in the equations of motion.
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=== Bouncing ball ===
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The example of the bouncing ball is more straightforward, since in this case the force is a constant,
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F
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m
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g
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{\displaystyle F(x)=mg,}
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resulting in the probability density function
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P
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p
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1
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m
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8
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g
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h
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=
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p
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for
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p
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<
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p
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0
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,
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{\displaystyle P(p)={\frac {1}{m{\sqrt {8gh}}}}={\frac {1}{2p_{0}}}{\text{ for }}|p|<p_{0},}
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where p0 = m(2gh)1/2 is the maximum momentum of the ball. In this system, all momenta are equally probable.
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== See also ==
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== References == |