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Polymers in Confined Geometry.pdf

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32 CHAPTER 3. POLYMERS IN CONFINED GEOMETRY<br />

R 2 (L) /L 2<br />

1<br />

0.9<br />

0.8<br />

0.7<br />

0.6<br />

0.5<br />

0.4<br />

0.3<br />

0.01<br />

0.1<br />

1<br />

L/ld<br />

10<br />

lp/L = 0.1<br />

lp/L = 0.5<br />

lp/L = 1<br />

lp/L = 5<br />

lp/L = 10<br />

Figure 3.5: Mean-square end-to-end distance R 2 versus the conf<strong>in</strong>ement strength L/ld.<br />

Shown are curves for different stiffnesses, from the stiff lp/L = 0.1 to the flexible lp/L = 10<br />

regime.<br />

This depends explicitly on two ld/lp and ld/L of the three possible parameters<br />

L, lp and ld (or comb<strong>in</strong>ations thereof). But we expect the ma<strong>in</strong> dependence only<br />

on ld/lp due to our scal<strong>in</strong>g analysis <strong>in</strong> section 3.2.2. It can be seen that this is<br />

actually true also for result above, s<strong>in</strong>ce it is valid only where the weakly-bend<strong>in</strong>g<br />

rod approximation is applicable, which is for lp ≫ L and/or lp ≫ ld. Therefore<br />

eq. (3.38) should only be considered <strong>in</strong> this range 4 .<br />

The limit of large deflection length ld → ∞ corresponds to a free polymer.<br />

Hence we should recover the results for a polymer <strong>in</strong> bulk solution. The series<br />

expansion <strong>in</strong> the stiff regime, up to first order L/lp, of the above result, eq. (3.38),<br />

is identical to that of the bulk solution, eq. (2.21).<br />

Parallel mean-square end-to-end distance<br />

100<br />

1000<br />

<br />

2 2<br />

R (L) = L 1 − L<br />

<br />

, (3.39)<br />

3 lp<br />

In a slightly different way a similar expressions for the end-to-end distance and<br />

correlation function projected onto the symmetry axis can be derived. This will<br />

be denoted by R2 <br />

|| . In our notation this is just the z-component of the end-toend<br />

distance.<br />

Start<strong>in</strong>g with the relation eq. (2.27) and the above result for the undulation<br />

correlation, eq. (3.26), we can use the Wick theorem to arrive at a relation for<br />

4 E.g. for lp/L = 0.5 the part depend<strong>in</strong>g explicitly on L/ld changes the result for the meansquare<br />

end-to-end distance only by 14% for L/ld = 1 and 0.03% for L/ld = 10.

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