Skip to main content Accessibility help
×
Hostname: page-component-77c89778f8-n9wrp Total loading time: 0 Render date: 2024-07-17T10:24:38.190Z Has data issue: false hasContentIssue false

9 - Polymer statistics

Published online by Cambridge University Press:  05 February 2015

John Cardy
Affiliation:
University of Oxford
Get access

Summary

Linear polymers may be thought of as very long flexible chains made up of single units called monomers. When placed in a solvent at low dilutions, they may exhibit several different types of morphology. If the interactions between different parts of the chain are primarily repulsive, they tend to be in extended configurations with a large entropy. If, however, the forces are sufficiently attractive, the chains collapse into compact objects with little entropy. The collapse transition between these two states occurs at the theta point, where the energy of attraction balances the entropy difference between the two states. This turns out to be a continuous phase transition, to be described later in Section 9.5. However, even in the swollen, entropy dominated, phase, it turns out that the statistics of very long chains are governed by non-trivial critical exponents. Like the percolation problem, this is a purely geometrical phenomenon, yet, through a mapping to a magnetic system, all the standard results of the renormalization group and scaling may be applied. Before describing this, however, it is important to recall some of the simpler approaches to the problem.

Random walk model

If the problem of a long polymer chain is equivalent to some kind of critical behaviour, we would expect universality to hold, and some of the important quantities to be independent of the microscopic details. This means that we may forget all about polymer chemistry, and regard the monomers as rigid links of length a, like a bicycle chain.

Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 1996

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

  • Polymer statistics
  • John Cardy, University of Oxford
  • Book: Scaling and Renormalization in Statistical Physics
  • Online publication: 05 February 2015
  • Chapter DOI: https://doi.org/10.1017/CBO9781316036440.010
Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

  • Polymer statistics
  • John Cardy, University of Oxford
  • Book: Scaling and Renormalization in Statistical Physics
  • Online publication: 05 February 2015
  • Chapter DOI: https://doi.org/10.1017/CBO9781316036440.010
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Polymer statistics
  • John Cardy, University of Oxford
  • Book: Scaling and Renormalization in Statistical Physics
  • Online publication: 05 February 2015
  • Chapter DOI: https://doi.org/10.1017/CBO9781316036440.010
Available formats
×