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1 0 . 7 . 1 Linear rate processes. We consider a large bath of monomer, whose concentration remains constant, and a smaller number of

10.7.1 Linear rate processes.
We consider a large bath of monomer, whose concentration remains
constant, and a smaller number of particles exhibiting random growth
by the reactions
Pn+M-?kgPn+1,rn=kgcMfn,n=1,2,dots,nT
We consider the monomer concentration, cM to be constant, and let
fn denote the number of particles in size class n=1,2,dots,nT. We
consider the reaction (growth) rate constant kg to be independent of
particle size, but this assumption is merely for convenience and is not
important to the development. We denote the probability density
p(f1,f2,dots,fnT,t)
as the probability that at time t, the system has f1 particles in size class
1,f2 particles in size class 2, and so on up to the largest size class nT.
The deterministic model for this growth process follows immediately
from the production rates of Reactions 10.21.
Deterministic.
ddtf1=-f1
ddtfn=fn-1-fn,n=2,dotsnT-1
ddtfnT=fnT-1
in which we use to denote the constant =kgcM. For the random
model, the equation governing the probability density is
ddtp(f1,f2,dots,fnT,t)=
-(f1+f2+cdotsfnT-1)p(f1,f2,dots,fnT,t)
+(f1+1)p(f1+1,f2-1,dots,fnT,t)
+(f2+1)p(f1,f2+1,f3-1,dots,fnT,t)
+cdots+(fnT-1+1)p(f1,f2,dots,fnT-1+1,fnT-1,t)
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