Solving Statistical Physics Equations of Motion for N-Particle Systems

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The discussion focuses on deriving equations of motion for an N-particle statistical system using its Hamiltonian, expressed as H = Σ(p_i²/2m) + V(q1, q2, ..., qN). The equations of motion are given by dp_i/dt = -dH/dp_i and dq_i/dt = p_i/m, but solving them for large N can be extremely time-consuming. Participants inquire about potential easier methods or formulas to solve Newton's equations of motion in this context, possibly involving stochastic approaches. Additionally, there is a question regarding the concept of negative temperature. The conversation highlights the complexity of statistical physics and the challenges in finding efficient solutions for many-particle systems.
eljose
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Let be an statistical system of N particles with their Hamiltonian..

H=\sum_{i=0}^{N}\frac{p_{i}^{2}}{2m}+V(q1,q2,...,qN)

then you could obtain their equations of motion in the form:

dp_{i}/dt=-dH/dp_{i} and dq_{i}/dt=p_{i}/m

but of course if N is big you could take years and years to solve it..but there wouldn,t be an easier formula..(or an approach) to obtain and solve Newton,s equation of motion for this system (considering stochastic or similar) by means of a functional of the q,s in the sense Q(q1,q2,q3,q4,...qN)
 
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may i know what is the meaning of negative temperature?
 
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