Difference between revisions of "User:Richard Pinch/sandbox-CZ"
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(Start article: Weierstrass preparation theorem) |
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+ | =Weierstrass preparation theorem= | ||
+ | In [[algebra]], the '''Weierstrass preparation theorem''' describes a canonical form for [[formal power series]] over a [[complete local ring]]. | ||
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+ | Let ''O'' be a complete local ring and ''f'' a formal power series in ''O''[[''X'']]. Then ''f'' can be written uniquely in the form | ||
+ | |||
+ | :<math>f = (X^n + b_{n-1}X^{n-1} + \cdots + b_0) u(x) , \,</math> | ||
+ | |||
+ | where the ''b''<sub>''i''</sub> are in the maximal ideal ''m'' of ''O'' and ''u'' is a unit of ''O''[[''X'']]. | ||
+ | |||
+ | The integer ''n'' defined by the theorem is the '''Weierstrass degree''' of ''f''. | ||
+ | |||
+ | ==References== | ||
+ | * {{cite book | author=Serge Lang | authorlink=Serge Lang | title=Algebra | edition=3rd ed | publisher=[[Addison-Wesley]] | year=1993 | isbn=0-201-55540-9 | pages=208-209 }} | ||
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=Zipf distribution= | =Zipf distribution= | ||
In [[probability theory]] and [[statistics]], the '''Zipf distribution''' and '''zeta distribution''' refer to a class of [[discrete probability distribution]]s. They have been used to model the distribution of words in words in a text , of text strings and keys in databases, and of the sizes of businesses and towns. | In [[probability theory]] and [[statistics]], the '''Zipf distribution''' and '''zeta distribution''' refer to a class of [[discrete probability distribution]]s. They have been used to model the distribution of words in words in a text , of text strings and keys in databases, and of the sizes of businesses and towns. |
Revision as of 06:42, 8 September 2013
Weierstrass preparation theorem
In algebra, the Weierstrass preparation theorem describes a canonical form for formal power series over a complete local ring.
Let O be a complete local ring and f a formal power series in O''X''. Then f can be written uniquely in the form
\[f = (X^n + b_{n-1}X^{n-1} + \cdots + b_0) u(x) , \,\]
where the bi are in the maximal ideal m of O and u is a unit of O''X''.
The integer n defined by the theorem is the Weierstrass degree of f.
References
Zipf distribution
In probability theory and statistics, the Zipf distribution and zeta distribution refer to a class of discrete probability distributions. They have been used to model the distribution of words in words in a text , of text strings and keys in databases, and of the sizes of businesses and towns.
The Zipf distribution with parameter n assigns probability proportional to 1/r to an integer r ≤ n and zero otherwise, with normalization factor Hn, the n-th harmonic number.
A Zipf-like distribution with parameters n and s assigns probability proportional to 1/rs to an integer r ≤ n and zero otherwise, with normalization factor \(\sum_{r=1}^n 1/r^s\).
The zeta distribution with parameter s assigns probability proportional to 1/rs to all integers r with normalization factor given by the Riemann zeta function 1/ζ(s).
References
Richard Pinch/sandbox-CZ. Encyclopedia of Mathematics. URL: http://encyclopediaofmath.org/index.php?title=Richard_Pinch/sandbox-CZ&oldid=30416