Distribution function
∙ The most detailed description of a plasma gives the location and velocity of each plasma particle as a function of time.
∙ It is impossible to obtain such a description of a real plasma. Rather than require an exact knowledge of a system with many particles, the behavior of such a particle system can be studied statistically.
∙ It is customary to use the distribution function to describe a plasma. The distribution function is the number of particles per unit volume in phase space. f(→r,→v,t)d→rd→v represents the expected number of particles at time t in (→r,→v) (6D phase) space with coordinates →r and →r+d→r and velocity →v and →v+d→v
∙ A gas in thermal equilibrium has particles of all velocities, and the most probable distribution of these velocities is known as the Maxwellian distribution.
Maxwellian distribution
∙ Maxwellian distribution is nothing but a Gaussian distribution. Recall, 1D Gaussian equation is given as
f(x)=1√2πσe−(v−vμ)22σ2
where vμ is mean or expectation of the distribution (and also its median and mode), σ is the standard deviation, and σ2 is the variance.
∙ Let us consider the mean velocity is 0; vμ=0, and thermal speed(standard deviation) is σ=√KBTm. Then, by simple substitution, we get Maxwellian distribution for particles.
f(u)=√m2πKBTe−12mv2KBT
What is f(u)?
f would be a fractional distribution. Suppose a teacher gave a 100-point quiz to a large number N of students. ni of students got si scores. The fractional distribution would be
fi=niN
Notice that ∑ifi=1
4차 산업혁명에 걸맞는 인터넷 기반 고등교육기관
이메일: ilkmooc@ilkmooc.kr
홈페이지주소: http://ilkmooc.kr
산동일크무크란? https://goo.gl/FnvqXd
댓글 없음:
댓글 쓰기