[Physics] partition function for polymer chain

partition functionpolymersstatistical mechanics

Supposing that I have linear chain with polymer of $N$ identical particles (interacting harmonically with adjacent particle) with position of first and last particle fixed, how do I find the partition function of the polymer?

Here is what I thought, $\vec p_i$ being the momentum of the polymer and $\vec r_i$ being the position of $i$th element of polymer, the Hamiltonian of each particle is given by
$$H = \sum_{i=1}^N\frac {p_i^2} {2m} + k\sum_{i=1}^{N-1}(r_{i+1}-r_i)^2$$
The partition function (for discrete canonical system) is given by
$$Q_N = \sum_{\{x\}}^n e^{-\beta H_{x}} = \prod_{i=2}^{N-1} e^{-\beta \frac{p_i^2}{2m}}\prod_{i=1}^{N-1} e^{-\beta k (r_{i+1}-r_i)^2}$$
I can't go beyond this. Any comment is appreaciated.

Best Answer

The hamiltonian for the whole system can be given by: $$H_{total}=\sum_{i=1}^{N-2}\frac{p_i^2}{2m}+\sum_{j=1}^{N-1}\frac{k(\gamma-x_j)^2}{2}$$ Where the terms for momentum come from the masses in the chain and the potential comes from the springs. The $\gamma-x$ term comes from the deviation of each spring from their equilibrium position, with $x=\gamma$ giving the point with $0$ potential.

The probability of the system (in thermal contact with surroundings at temperature $T$) being at energy $E$ is given by: $$q(E)=\frac{1}{Z}e^{-\beta H}$$ Where $\beta=\frac{1}{k_B T}$. The partition function $Z$ is given by integration over phase space of the total hamiltonian of the system. Luckily this hamiltonian can be factorised quite easily. $$Z=\int_{p,x}e^{-\beta\sum_{1}^{N-2}\frac{p^2}{2m}}e^{-\beta\sum_{1}^{N-1}\frac{k(\gamma-x)^2}{2}}dp\ dx=\int_{-\infty}^{\infty}e^{\frac{\beta(2-N)}{2m}p^2}dp\int_{0}^{\infty}e^{\frac{\beta(1-N)k}{2}(\gamma-x)^2}dx$$

The first is a gaussian ($\int_{-\infty}^{\infty} e^{-ax^2}=\sqrt{\frac{\pi}{a}}$), and the second needs a little massaging.

After integrating out the momentum we get: $$Z=\sqrt{\frac{2\pi m}{\beta(N-2)}}\int_0^{\infty}e^{-\frac{\beta(N-1)k}{2}(x-\gamma)^2}dx$$

Change the variable $x-\gamma$ to $q$, we get $dx=dq$ and the limits are $\int_{-\gamma}^{\infty}$. This second integral needs the error function to calculate, because of the non-zero lower limit. Change the constants in the exponential into an easier to handle form - $\frac{\beta(N-1)k}{2}=\alpha$:

$$Z=\sqrt{\frac{2\pi m}{\beta(N-2)}}\int_{-\gamma}^{\infty}e^{-\alpha q^2}dq=\sqrt{\frac{2\pi m}{\beta(N-2)}}\sqrt{\frac{\pi}{4\alpha}}(1-erf(-\gamma\sqrt\alpha))$$ Finally: $$Z=\frac{\pi}{\beta}\sqrt{\frac{m}{k(N-1)(N-2)}}(1-erf(-\gamma\sqrt{\frac{\beta(N-1)k}{2}}))$$

There are some approximations that can be made here. If $N$ is large, then we have $(N-1)(N-2)\approx N^2$ and $N-1\approx N$: $$Z_{large\ N}\approx \frac{\pi}{\beta N}\sqrt{\frac{m}{k}}(1-erf(-\gamma\sqrt{\frac{\beta N k}{2}}))$$ Using an approximation for the error function from wikipedia, we can get $Z$ into analytic functions. Using $x=-\gamma\sqrt{\frac{\beta N k}{2}}$, and assuming $\gamma$ is always positive, we get: $$Z=\frac{\pi}{\beta N}\sqrt{\frac{m}{k}}(1-\sqrt{1-exp(-x^2\frac{\frac{4}{\pi}+ax^2}{1+ax^2})})$$ Where $a=\frac{8(\pi-3)}{3\pi(4-\pi)}$.

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