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mathematical Mathematics is an area of knowledge that includes the topics of numbers, formulas and related structures, shapes and the spaces in which they are contained, and quantities and their changes. These topics are represented in modern mathematics ...
field of
probability Probability is the branch of mathematics concerning numerical descriptions of how likely an Event (probability theory), event is to occur, or how likely it is that a proposition is true. The probability of an event is a number between 0 and ...
, the Wiener sausage is a neighborhood of the trace of a
Brownian motion Brownian motion, or pedesis (from grc, πήδησις "leaping"), is the random motion of particles suspended in a medium (a liquid or a gas). This pattern of motion typically consists of random fluctuations in a particle's position insi ...
up to a time ''t'', given by taking all points within a fixed distance of Brownian motion. It can be visualized as a sausage of fixed radius whose centerline is Brownian motion. The Wiener sausage was named after
Norbert Wiener Norbert Wiener (November 26, 1894 – March 18, 1964) was an American mathematician and philosopher. He was a professor of mathematics at the Massachusetts Institute of Technology (MIT). A child prodigy, Wiener later became an early researcher i ...
by because of its relation to the
Wiener process In mathematics, the Wiener process is a real-valued continuous-time stochastic process named in honor of American mathematician Norbert Wiener for his investigations on the mathematical properties of the one-dimensional Brownian motion. It is o ...
; the name is also a pun on
Vienna sausage A Vienna sausage (german: Wiener Würstchen, Wiener; Viennese/Austrian German: ''Frankfurter Würstel'' or ''Würstl''; Swiss German: ''Wienerli''; Swabian: ''Wienerle'' or ''Saitenwurst'') is a thin parboiled sausage traditionally made of p ...
, as "Wiener" is
German German(s) may refer to: * Germany (of or related to) **Germania (historical use) * Germans, citizens of Germany, people of German ancestry, or native speakers of the German language ** For citizens of Germany, see also German nationality law **Ger ...
for "Viennese". The Wiener sausage is one of the simplest non-Markovian functionals of Brownian motion. Its applications include
stochastic Stochastic (, ) refers to the property of being well described by a random probability distribution. Although stochasticity and randomness are distinct in that the former refers to a modeling approach and the latter refers to phenomena themselv ...
phenomena including
heat conduction Conduction is the process by which heat is transferred from the hotter end to the colder end of an object. The ability of the object to conduct heat is known as its ''thermal conductivity'', and is denoted . Heat spontaneously flows along a te ...
. It was first described by , and it was used by to explain results of a
Bose–Einstein condensate In condensed matter physics, a Bose–Einstein condensate (BEC) is a state of matter that is typically formed when a gas of bosons at very low densities is cooled to temperatures very close to absolute zero (−273.15 °C or −459.67&n ...
, with proofs published by .


Definitions

The Wiener sausage ''W''δ(''t'') of radius δ and length ''t'' is the set-valued
random variable A random variable (also called random quantity, aleatory variable, or stochastic variable) is a mathematical formalization of a quantity or object which depends on random events. It is a mapping or a function from possible outcomes (e.g., the po ...
on Brownian paths b (in some Euclidean space) defined by :W_\delta(t)() is the set of points within a distance δ of some point b(''x'') of the path b with 0≤''x''≤''t''.


Volume of the Wiener sausage

There has been a lot of work on the behavior of the volume (
Lebesgue measure In measure theory, a branch of mathematics, the Lebesgue measure, named after French mathematician Henri Lebesgue, is the standard way of assigning a measure to subsets of ''n''-dimensional Euclidean space. For ''n'' = 1, 2, or 3, it coincides wit ...
) , ''W''δ(''t''), of the Wiener sausage as it becomes thin (δ→0); by rescaling, this is essentially equivalent to studying the volume as the sausage becomes long (''t''→∞). showed that in 3 dimensions the expected value of the volume of the sausage is :E(, W_\delta(t), ) = 2\pi\delta t + 4\delta^2\sqrt +4\pi\delta^3/3. In dimension ''d'' at least 3 the volume of the Wiener sausage is asymptotic to :\delta^ \pi^2t/\Gamma((d-2)/2) as ''t'' tends to infinity. In dimensions 1 and 2 this formula gets replaced by \sqrt and 2t/\log(t) respectively. , a student of Spitzer, proved similar results for generalizations of Wiener sausages with cross sections given by more general compact sets than balls.


References

* * * * * Especially chapter 22. * * (Reprint of 1964 edition) * An advanced monograph covering the Wiener sausage. * {{Stochastic processes Mathematical physics Statistical mechanics Wiener process