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

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1.6 Polymer Brushes 33<br />

(1.146) is divided <strong>by</strong> A, which is necessary for F [W ] to be a proper extensive quantity that<br />

scales with the size of the system. Alternatively, we could imagine that the chain ends are<br />

free to move, but then the molecules would become indistinguishable <strong>and</strong> Z would have to<br />

be divided <strong>by</strong> a factor of n! to avoid the Gibbs paradox (Reif 1965). Either way, we arrive<br />

at the same expression for F [W ] apart from additive constants. That bring us to the second<br />

point that additive constants to F [W ] are of no consequence, since they can be absorbed into<br />

the proportionality constant omitted in Eq. (1.145). This fact has been used to insert an extra<br />

factor of aN 1/2 into Eq. (1.146) to make the argument of the logarithm dimensionless.<br />

Even though W (r) takes on imaginary values, Q[W ] is solved <strong>by</strong> the exact same methods<br />

derived in Section 1.2, <strong>and</strong> thus F [W ] is readily computed. However, the functional integral<br />

in Eq. (1.145) cannot be performed exactly. To proceed further, we use the fact that F [W ]<br />

is an analytic functional, which means that the path of integration can be deformed without<br />

altering the integral. A st<strong>and</strong>ard trick to solve such integrals, the method of steepest descent<br />

(Carrier et al. 1966), is to deform the path from the imaginary axis to one that passes through<br />

a point where<br />

DF [W ]<br />

DW (r)<br />

=0 (1.147)<br />

in a direction such that the imaginary part of F [W ] remains constant. At such a point, the real<br />

part of F [W ] has a saddle shape, <strong>and</strong> consequently it is denoted as a saddle point . Changing<br />

the path of integration in this way concentrates the non-zero contribution of the integral to the<br />

neighborhood of the saddle point, allowing for a convenient expansion of which the first term<br />

gives<br />

(<br />

Z ≈ exp − F [w] )<br />

(1.148)<br />

k B T<br />

where w(r) is the solution to Eq. (1.147). Thus, F [w] becomes the SCFT approximation to<br />

the free energy of the system. It follows from the functional differentiation in Eq. (1.147),<br />

that w(r) must be chosen such that<br />

where<br />

φ(r) =1 (1.149)<br />

φ(r) ≡−V D ln(Q[w])<br />

Dw(r)<br />

(1.150)<br />

is the segment concentration of n polymers in the external field, w(r); see Eq.<br />

〈<br />

(1.32).<br />

〉<br />

The quantity, φ(r), can also be identified as the SCFT approximation for ˆφ(r) , but the<br />

explanation for this is often glossed over. It is justified <strong>by</strong> starting with the formal definition,<br />

〈 〉<br />

ˆφ(r) ≡ 1 ∫ ( )<br />

∏<br />

n ˜Dr α δ(z α (1) − ɛ) ˆφ(r)δ[1 −<br />

Z<br />

ˆφ] (1.151)<br />

α=1

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