--- title: "Classical probability density" chunk: 2/2 source: "https://en.wikipedia.org/wiki/Classical_probability_density" category: "reference" tags: "science, encyclopedia" date_saved: "2026-05-05T13:41:34.829381+00:00" instance: "kb-cron" --- == Momentum-space distribution == 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 P ( p ) = 2 T 1 | F ( x ) | , {\displaystyle P(p)={\frac {2}{T}}{\frac {1}{|F(x)|}},} 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. === Simple harmonic oscillator === Taking the example of the simple harmonic oscillator above, the potential energy and force can be written as U ( x ) = 1 2 k x 2 , {\displaystyle U(x)={\frac {1}{2}}kx^{2},} | F ( x ) | = | − k x | = 2 k U ( x ) = k m ( 2 m E − p 2 ) . {\displaystyle |F(x)|=|-kx|={\sqrt {2kU(x)}}={\sqrt {{\frac {k}{m}}(2mE-p^{2})}}.} Identifying (2mE)1/2 = p0 as the maximum momentum of the system, this simplifies to P ( p ) = 1 π 1 p 0 2 − p 2 . {\displaystyle P(p)={\frac {1}{\pi }}{\frac {1}{\sqrt {p_{0}^{2}-p^{2}}}}.} 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. === Bouncing ball === The example of the bouncing ball is more straightforward, since in this case the force is a constant, F ( x ) = m g , {\displaystyle F(x)=mg,} resulting in the probability density function P ( p ) = 1 m 8 g h = 1 2 p 0 for | p | < p 0 , {\displaystyle P(p)={\frac {1}{m{\sqrt {8gh}}}}={\frac {1}{2p_{0}}}{\text{ for }}|p|