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Definition of temperature in physicss 📂Thermal Physics

Definition of temperature in physicss

Definition1 2

Let’s assume there is a system with energy EE. When the number of microstates for EE is denoted as Ω(E)=Ω\Omega (E) = \Omega, then

1kBT:=dln(Ω)dE \dfrac{1}{k_{B} T} := \dfrac{d \ln ( \Omega )}{d E }

defines the temperature of the system as TT, where kBk_{B} is the Boltzmann constant.

Microstates and Macrostates

In statistical mechanics, the concepts of a system’s Macrostate and Microstate could be similar to the following example. Suppose there are four coins inside a box. After shaking the box vigorously and opening it, the heads and tails will be determined randomly. When representing heads with white and tails with dark grey, their states can be depicted as follows:

20180710\_170132.png

Looking only at the number of heads, there are a total of 55 ways, from 00 to 44, and this is called the number of macrostates SS. Meanwhile, if counting whether each coin is heads or tails, as known, there are 24=162^4=16 ways, which is called the number of microstates Ω\Omega.

Naturally, if the number of microstates Ω\Omega is large, the corresponding macrostate is more likely to be observed. In the situation above, if designating the number of heads among nn coins as Ω(k,nk)\Omega (k, n-k), the microstate number is largest when Ω(2,2)=6\Omega (2,2) = 6, hence, the state with two heads and two tails is more likely to be observed.

Derivation

The definition of temperature naturally arises through finding the macrostate of two interacting systems. Consider a closed system XX as below.

20180710\_172801.png

XX is divided into AA and BB. Let’s call the internal energy of AA and BB as EAE_{A} and EBE_{B} respectively. Similar to the coin example above, imagine AA and BB as groups of specific coins, and EAE_{A} and EBE_{B} as the number of heads.

Assuming that all microstates have equal probability and that AA and BB have interacted enough (or sufficient time has passed) to consider the two systems in thermal equilibrium. The total energy of the system is as EX=EA+EBE_{X} = E_{A} + E_{B}. The number of microstates of the total system XX is represented by the product of the possible microstates of AA Ω(EA)\Omega (E_{A}) and of BB Ω(EB)\Omega (E_{B}).

ΩX(EX)=ΩA(EA)ΩB(EB) \begin{equation} \Omega_{X} (E_{X}) = \Omega_{A} (E_{A}) \Omega_{B} (E_{B}) \end{equation}

Then, it can naturally be accepted that the macrostate in thermal equilibrium is when the value of the above equation is at its largest. Actually, it is said that the number of possible microstates in a macrostate during thermal equilibrium overwhelmingly exceeds other cases. If considering the number of microstates Ω\Omega as a normal distribution, naturally, the point where taking the derivative of (1)(1) becomes 00 signifies the maximum value.

However, in reality, the energy of particles is not continuous but quantumized. Therefore, the total energy of the system EXE_{X} also has discrete values. But in the case of thermophysics, since the number of particles in the system being examined is extremely high, the possible values of EXE_{X} are also enormously numerous. Hence, consider EXE_{X}, EAE_{A}, and EBE_{B} as variables with continuous values.

Returning to finding the macrostate, let’s designate the macrostate (energy) in thermal equilibrium as E=EA+EB\overline{E} = \overline{E}_{A} + \overline{E}_{B}. By taking the derivative of (1)(1) with respect to EAE_{A} and substituting EA=EAE_{A}=\overline{E}_{A}, it results in 00.

d(ΩA(EA)ΩB(EB))dEAEA=EA=0 \left. \dfrac{d( \Omega_{A} (E_{A} ) \Omega_{B} (E_{B}) )}{dE_{A}} \right|_{E_{A}=\overline{E}_{A}} = 0

Calculating the above equation yields as follows by the product rule of differentiation.

ΩB(EB)dΩA(EA)dEAEA=EA+ΩA(EA)dΩB(EB)dEBdEBdEAEA=EA=0 \Omega_{B} (E_{B}) \left. \dfrac{d \Omega_{A} (E_{A} )}{d E_{A}} \right|_{E_{A}=\overline{E}_{A}} + \Omega_{A} (E_{A}) \left. \dfrac{d \Omega_{B} (E_{B} )}{d E_{B}} {{d E_{B} } \over {d E_{A} }} \right|_{E_{A}=\overline{E}_{A}} = 0

Here, since the total energy EX=EA+EBE_{X} = E_{A} + E_{B} remains a constant regardless of how energy transfers between AA and BB, the following is established.

dEA=dEB    dEBdEA=1 d E_{A} = - d E_{B} \implies \dfrac{d E_{B}}{d E_{A} } = -1

Substituting into the above equation yields the following expression.

ΩBdΩAdEAEA=EAΩAdΩBdEBEB=EB=0    1ΩAdΩAdEAEA=EA1ΩBdΩBdEBEB=EB=0    1ΩAdΩAdEAEA=EA=1ΩBdΩBdEBEB=EB    dlnΩAdEA(EA)=dlnΩBdEB(EB) \begin{align*} && \Omega_{B} \left. \dfrac{ d \Omega_{A} }{d E_{A}}\right|_{E_{A}=\overline{E}_{A}} - \left. \Omega_{A} \dfrac{ d \Omega_{B} }{d E_{B}}\right|_{E_{B}=\overline{E}_{B}} =& 0 \\ \implies && \dfrac{1}{ \Omega_{A} } \left. \dfrac{ d \Omega_{A} }{d E_{A}}\right|_{E_{A}=\overline{E}_{A}} - \dfrac{1}{\Omega_{B} } \left. \dfrac{ d \Omega_{B} }{d E_{B}} \right|_{E_{B}=\overline{E}_{B}} =& 0 \\ \implies && \dfrac{1}{ \Omega_{A} } \left. \dfrac{ d \Omega_{A} }{d E_{A}} \right|_{E_{A}=\overline{E}_{A}} =& \dfrac{1}{\Omega_{B} } \left. \dfrac{ d \Omega_{B} }{d E_{B}} \right|_{E_{B}=\overline{E}_{B}} \\ \implies && \dfrac{ d \ln \Omega_{A} }{d E_{A}} \left(\overline{E}_{A}\right) =& \dfrac{ d \ln \Omega_{B} }{d E_{B}}\left(\overline{E}_{B}\right) \end{align*}

The last line is valid in accordance with logarithmic differentiation and the chain rule. Here, the above equation is a condition for thermal equilibrium, where the left-hand side is expressed solely in terms of the variables for system AA, and the right-hand side in terms of the variables for system BB. Since both sides of the equation in thermal equilibrium state represent the same value with each respective system’s state, defining temperature by this value would be appropriate. Hence, the temperature of AA and BB can be defined as TAT_{A} and TBT_{B}, respectively.

1kBTA:=dlnΩAdEA(EA)1kBTB:=dlnΩBdEB(EB) \begin{align*} \dfrac{1}{k_{B} T_{A} } &:= \dfrac{ d \ln \Omega _{A} }{d E_{A}} \left(\overline{E}_{A}\right) \\ \dfrac{1}{k_{B} T_{B} } &:= \dfrac{ d \ln \Omega _{B} }{d E_{B}} \left(\overline{E}_{B}\right) \end{align*}


  1. Stephen J. Blundell and Katherine M. Blundell, Concepts in Thermal Physics, translated by 이재우 (2nd Edition, 2014), p45-49 ↩︎

  2. R. K. Pathria and Paul D. Beale, Statistical Mechanics (3rd Edition, 2011), p1-5 ↩︎