Semiflexible polymers in straining flows |
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Authors: | Terence Chan Kalvis M Jansons |
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Institution: | (1) Department of Actuarial Mathematics and Statistics, Heriot-Watt University, EH14 4AS Edinburgh, U.K.;(2) Department of Mathematics, University College London, WC1E 6BT London, U.K. |
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Abstract: | We introduce a model for semiflexible polymer chains based on the integral of an appropriate Gaussian process. The stiffness
is characterized physically by adding a bending energy. The degree of stiffness in the polymer chain is quantified by means
of a parameter and as this parameter tends to infinity, the limiting case reduces to the Brownian model of completely flexible
chains studied in earlier work. The calculation of the partition function for the configuration statistical mechanics (i.e.,
the distribution of shapes) of such polymers in elongational flow or quadratic potentials is equivalent to the probabilistic
problem of finding the law of a quadratic functional of the associated Gaussian process. An exact formula for the partition
function is presented; however, in practice, this formula is too complicated for most computations. We therefore develop an
asymptotic expansion for the partition function in terms of the stiffness parameter and obtain the first-order term which
gives the first-order deviation from the completely flexible case. In addition to the partition function, the method presented
here can also deal with other quadratic functionals such as the “stochastic area” associated with two polymer chains. |
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Keywords: | Semiflexible polymers elongational flows quadratic potentials small-stiffness expansion partition functions quadratic functionals |
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