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Self-Consistent Field Theory and Its Applications by M. W. Matsen

Self-Consistent Field Theory and Its Applications by M. W. Matsen

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1.6 Polymer Brushes 29<br />

is important is that q(0,z 0 , 1) does not actually depend on z 0 . So, just as in the classical<br />

treatment, the free energy of a chain in the parabolic potential is independent of its extension.<br />

The main effect of the fluctuations is to broaden the single-segment distribution, ρ(z; z 0 ,s),<br />

from the delta function predicted <strong>by</strong> SST in Eq. (1.115). With fluctuations, the distribution is<br />

defined as<br />

∫ ( )<br />

∏<br />

∞<br />

ρ(z; z 0 ,s)=aN 1/2 dz n P n (z n ) δ(z − z α (s)) (1.128)<br />

n=1<br />

where<br />

√<br />

kn<br />

P n (z n )=<br />

π exp(−k nzn) 2 (1.129)<br />

is the Boltzmann distribution for a n’th harmonic fluctuation of amplitude, z n . Using the<br />

integral representation,<br />

δ(x) = 1<br />

2π<br />

∫ ∞<br />

−∞<br />

dk exp(ikx) (1.130)<br />

of the Dirac delta function, the single-segment distribution can be rewritten as<br />

1/2<br />

∫<br />

aN<br />

ρ(z; z 0 ,s)= dk exp(ik(z − z 0 cos(πs/2))) ×<br />

2π<br />

(<br />

∏ ∞<br />

√ ∫ )<br />

∞<br />

kn<br />

dz n exp(−k n zn 2 − ikz n sin(nπs)) (1.131)<br />

π<br />

n=1 −∞<br />

This allows us to integrate over z n , which leads to the expression,<br />

1/2<br />

∫ [<br />

]<br />

aN<br />

∞∑<br />

ρ(z; z 0 ,s)= dk exp ik(z − z 0 cos(πs/2)) − k2 sin 2 (nπs)<br />

(1.132)<br />

2π<br />

4 k n<br />

n=1<br />

The summation can then be eliminated using the Fourier series expansion,<br />

| sin(πs)| = 2 π − 4 π<br />

∞∑<br />

n=1<br />

cos(n2πs)<br />

4n 2 − 1<br />

= 8 π<br />

∞∑<br />

n=1<br />

sin 2 (nπs)<br />

4n 2 − 1<br />

(1.133)<br />

With that gone, the final integration over k gives the relatively simple result,<br />

( ) 1/2<br />

3<br />

ρ(z; z 0 ,s)=<br />

exp<br />

(− 3π[z − z 0 cos(πs/2)] 2 )<br />

2sin(πs)<br />

2a 2 N sin(πs)<br />

(1.134)<br />

Hence, the chain fluctuations transform the delta function distributions, Eq. (1.115), predicted<br />

<strong>by</strong> SST into Gaussian distributions centered about the classical trajectory with a st<strong>and</strong>ard<br />

deviation (i.e., width) of √ a 2 N sin(πs)/3π. The total concentration of the chain, φ(z; z 0 ),<br />

has to be performed numerically, but that is a relatively trivial calculation. Figure 1.6 shows<br />

the result for several different extensions compared with the SST prediction from Eq. (1.117).

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