- #1
dRic2
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The proof for the ET I've found in some of the undergrad books for statistical physics (for example in Reif's "Statistical and Thermal Physics") assumes the form of the Hamiltonian of the system to be:
$$H = bp_i^2 + E'(q_1,...,p_f)$$
where ##b## is a constant.
My professor in his notes, says that ##b## can be a function of all the coordinates and momenta as long as it does not depend on the i-th term, i.e., ##b = b(q_j, p_{j \neq i})##. I fail to understand the proof however. Since now ##b## is a function of the generalized coordinates and momenta the integral
$$<bp_i^2> = \int d^{3f}q d^{3f}p bp_i^2 e^{-\beta H}$$
no longer factorizes.
In his notes he just says that recalling that the integral in ##p_i## is the second moment of a Gaussian we immediately obtain ##<bp_i^2> = \frac 1 2 k_B T##. But I am unable to perform the calculations.
Any help would be greatly appreciated.
thanks
Ric
$$H = bp_i^2 + E'(q_1,...,p_f)$$
where ##b## is a constant.
My professor in his notes, says that ##b## can be a function of all the coordinates and momenta as long as it does not depend on the i-th term, i.e., ##b = b(q_j, p_{j \neq i})##. I fail to understand the proof however. Since now ##b## is a function of the generalized coordinates and momenta the integral
$$<bp_i^2> = \int d^{3f}q d^{3f}p bp_i^2 e^{-\beta H}$$
no longer factorizes.
In his notes he just says that recalling that the integral in ##p_i## is the second moment of a Gaussian we immediately obtain ##<bp_i^2> = \frac 1 2 k_B T##. But I am unable to perform the calculations.
Any help would be greatly appreciated.
thanks
Ric