|
|
|
|
LEADER |
01000caa a22002652 4500 |
001 |
JST068957262 |
003 |
DE-627 |
005 |
20240622171224.0 |
007 |
cr uuu---uuuuu |
008 |
150325s2004 xx |||||o 00| ||eng c |
035 |
|
|
|a (DE-627)JST068957262
|
035 |
|
|
|a (JST)4097477
|
040 |
|
|
|a DE-627
|b ger
|c DE-627
|e rakwb
|
041 |
|
|
|a eng
|
084 |
|
|
|a 60J65
|2 MSC
|
084 |
|
|
|a 40A30
|2 MSC
|
100 |
1 |
|
|a de la Peña, Victor H.
|e verfasserin
|4 aut
|
245 |
1 |
0 |
|a Diffusions, Exit Time Moments and Weierstrass Theorems
|
264 |
|
1 |
|c 2004
|
336 |
|
|
|a Text
|b txt
|2 rdacontent
|
337 |
|
|
|a Computermedien
|b c
|2 rdamedia
|
338 |
|
|
|a Online-Ressource
|b cr
|2 rdacarrier
|
520 |
|
|
|a Let Xtbe a one-dimensional diffusion with infinitesimal generator given by the operator $L = \frac{1}{2} (a(x)\frac{d}{dx})^{2} + b(x)\frac{d}{dx}$ where a(x) is a smooth, positive real-valued function and the ratio of a(x) and b(x) is a constant. Given a compact interval, we prove a Weierstrass-type theorem for the exit time moments of Xtand their corresponding (naturally weighted) first derivatives, and we provide an algorithm that produces uniform approximations of arbitrary continuous functions by exit time moments. We investigate analogues of these results in higher-dimensional Euclidean spaces. We give expansions for several families of special functions in terms of exit time moments.
|
540 |
|
|
|a Copyright 2004 American Mathematical Society
|
650 |
|
4 |
|a Brownian Motion
|
650 |
|
4 |
|a Exit Time Moments
|
650 |
|
4 |
|a Approximation Theory
|
650 |
|
4 |
|a Bessel Functions
|
650 |
|
4 |
|a Physical sciences
|x Physics
|x Mechanics
|x Fluid mechanics
|x Brownian motion
|
650 |
|
4 |
|a Mathematics
|x Mathematical expressions
|x Mathematical functions
|x Continuous functions
|
650 |
|
4 |
|a Mathematics
|x Mathematical expressions
|x Mathematical theorems
|
650 |
|
4 |
|a Mathematics
|x Pure mathematics
|x Discrete mathematics
|x Number theory
|x Numbers
|x Real numbers
|x Rational numbers
|x Integers
|
650 |
|
4 |
|a Mathematics
|x Mathematical procedures
|x Approximation
|
650 |
|
4 |
|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Descriptive statistics
|x Statistical distributions
|x Distribution functions
|x Probability distributions
|x Mathematical moments
|
650 |
|
4 |
|a Mathematics
|x Mathematical objects
|x Infinitesimals
|
650 |
|
4 |
|a Mathematics
|x Mathematical objects
|x Mathematical intervals
|
650 |
|
4 |
|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Statistical physics
|x Dimensional analysis
|x Dimensionality
|x Abstract spaces
|x Topological spaces
|x Euclidean space
|
650 |
|
4 |
|a Mathematics
|x Mathematical expressions
|x Mathematical functions
|x Special functions
|
655 |
|
4 |
|a research-article
|
700 |
1 |
|
|a McDonald, Patrick
|e verfasserin
|4 aut
|
773 |
0 |
8 |
|i Enthalten in
|t Proceedings of the American Mathematical Society
|d American Mathematical Society, 1950
|g 132(2004), 8, Seite 2465-2474
|w (DE-627)270129839
|w (DE-600)1476739-9
|x 10886826
|7 nnns
|
773 |
1 |
8 |
|g volume:132
|g year:2004
|g number:8
|g pages:2465-2474
|
856 |
4 |
0 |
|u https://www.jstor.org/stable/4097477
|3 Volltext
|
912 |
|
|
|a GBV_USEFLAG_A
|
912 |
|
|
|a SYSFLAG_A
|
912 |
|
|
|a GBV_JST
|
912 |
|
|
|a GBV_ILN_11
|
912 |
|
|
|a GBV_ILN_20
|
912 |
|
|
|a GBV_ILN_22
|
912 |
|
|
|a GBV_ILN_23
|
912 |
|
|
|a GBV_ILN_24
|
912 |
|
|
|a GBV_ILN_31
|
912 |
|
|
|a GBV_ILN_39
|
912 |
|
|
|a GBV_ILN_40
|
912 |
|
|
|a GBV_ILN_60
|
912 |
|
|
|a GBV_ILN_62
|
912 |
|
|
|a GBV_ILN_63
|
912 |
|
|
|a GBV_ILN_69
|
912 |
|
|
|a GBV_ILN_70
|
912 |
|
|
|a GBV_ILN_73
|
912 |
|
|
|a GBV_ILN_90
|
912 |
|
|
|a GBV_ILN_95
|
912 |
|
|
|a GBV_ILN_100
|
912 |
|
|
|a GBV_ILN_105
|
912 |
|
|
|a GBV_ILN_110
|
912 |
|
|
|a GBV_ILN_120
|
912 |
|
|
|a GBV_ILN_151
|
912 |
|
|
|a GBV_ILN_161
|
912 |
|
|
|a GBV_ILN_170
|
912 |
|
|
|a GBV_ILN_213
|
912 |
|
|
|a GBV_ILN_230
|
912 |
|
|
|a GBV_ILN_285
|
912 |
|
|
|a GBV_ILN_293
|
912 |
|
|
|a GBV_ILN_370
|
912 |
|
|
|a GBV_ILN_374
|
912 |
|
|
|a GBV_ILN_602
|
912 |
|
|
|a GBV_ILN_702
|
912 |
|
|
|a GBV_ILN_2001
|
912 |
|
|
|a GBV_ILN_2003
|
912 |
|
|
|a GBV_ILN_2005
|
912 |
|
|
|a GBV_ILN_2006
|
912 |
|
|
|a GBV_ILN_2007
|
912 |
|
|
|a GBV_ILN_2008
|
912 |
|
|
|a GBV_ILN_2009
|
912 |
|
|
|a GBV_ILN_2010
|
912 |
|
|
|a GBV_ILN_2011
|
912 |
|
|
|a GBV_ILN_2014
|
912 |
|
|
|a GBV_ILN_2015
|
912 |
|
|
|a GBV_ILN_2018
|
912 |
|
|
|a GBV_ILN_2020
|
912 |
|
|
|a GBV_ILN_2021
|
912 |
|
|
|a GBV_ILN_2026
|
912 |
|
|
|a GBV_ILN_2027
|
912 |
|
|
|a GBV_ILN_2044
|
912 |
|
|
|a GBV_ILN_2050
|
912 |
|
|
|a GBV_ILN_2056
|
912 |
|
|
|a GBV_ILN_2057
|
912 |
|
|
|a GBV_ILN_2061
|
912 |
|
|
|a GBV_ILN_2088
|
912 |
|
|
|a GBV_ILN_2107
|
912 |
|
|
|a GBV_ILN_2110
|
912 |
|
|
|a GBV_ILN_2111
|
912 |
|
|
|a GBV_ILN_2190
|
912 |
|
|
|a GBV_ILN_2932
|
912 |
|
|
|a GBV_ILN_2947
|
912 |
|
|
|a GBV_ILN_2949
|
912 |
|
|
|a GBV_ILN_2950
|
912 |
|
|
|a GBV_ILN_4012
|
912 |
|
|
|a GBV_ILN_4035
|
912 |
|
|
|a GBV_ILN_4037
|
912 |
|
|
|a GBV_ILN_4046
|
912 |
|
|
|a GBV_ILN_4112
|
912 |
|
|
|a GBV_ILN_4125
|
912 |
|
|
|a GBV_ILN_4126
|
912 |
|
|
|a GBV_ILN_4242
|
912 |
|
|
|a GBV_ILN_4249
|
912 |
|
|
|a GBV_ILN_4251
|
912 |
|
|
|a GBV_ILN_4305
|
912 |
|
|
|a GBV_ILN_4306
|
912 |
|
|
|a GBV_ILN_4307
|
912 |
|
|
|a GBV_ILN_4313
|
912 |
|
|
|a GBV_ILN_4322
|
912 |
|
|
|a GBV_ILN_4323
|
912 |
|
|
|a GBV_ILN_4324
|
912 |
|
|
|a GBV_ILN_4325
|
912 |
|
|
|a GBV_ILN_4326
|
912 |
|
|
|a GBV_ILN_4335
|
912 |
|
|
|a GBV_ILN_4338
|
912 |
|
|
|a GBV_ILN_4346
|
912 |
|
|
|a GBV_ILN_4367
|
912 |
|
|
|a GBV_ILN_4393
|
912 |
|
|
|a GBV_ILN_4700
|
951 |
|
|
|a AR
|
952 |
|
|
|d 132
|j 2004
|e 8
|h 2465-2474
|