Statistical Geometry and Lattices

نویسندگان

  • Gerardo Soto-Campos
  • Richard Bowles
  • Andrey Itkin
  • Howard Reiss
چکیده

Statistical geometry furnishes the tool that allows the transfer of results from a lattice with finite lattice parameter to the continuum. Since lattice simulations are simpler than continuum ones, this suggests that larger scale simulations for the continuum might be more effectively carried out on a lattice with finite lattice parameter followed by the indicated transfer. We also show that a statistical geometry, peculiar to hard particles on a lattice, can be developed. Among other things, this opens the possibility that a scaled particle theory on a lattice might be derived.

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تاریخ انتشار 1999