Some new results on transition probability
Abstract In this paper, we study the basic properties of stationary transition probability of Markov processes on a general measurable space (E, ℰ), such as the continuity, maximum probability, zero point, positive probability set,standardization, and obtain a series of important results such as Con...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Xie, Yu Quan [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2008 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Acta mathematica sinica - Berlin : Springer, 1985, 24(2008), 12 vom: 05. Nov., Seite 1965-1984 |
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| Übergeordnetes Werk: |
volume:24 ; year:2008 ; number:12 ; day:05 ; month:11 ; pages:1965-1984 |
| Links: |
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| DOI / URN: |
10.1007/s10114-008-6054-2 |
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| Katalog-ID: |
SPR008939888 |
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| 520 | |a Abstract In this paper, we study the basic properties of stationary transition probability of Markov processes on a general measurable space (E, ℰ), such as the continuity, maximum probability, zero point, positive probability set,standardization, and obtain a series of important results such as Continuity Theorem, Representation Theorem, Lévy Theorem and so on. These results are very useful for us to study stationary tri-point transition probability on a general measurable space (E, ℰ). Our main tools such as Egoroff’s Theorem, Vitali-Hahn-Saks’s Theorem and the theory of atomic set and well-posedness of measure are also very interesting and fashionable. | ||
| 650 | 4 | |a Markov processes |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a stationary transition probability |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a maximum probability |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a uniformly standard |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a representation theorem |7 (dpeaa)DE-He213 | |
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10.1007/s10114-008-6054-2 doi (DE-627)SPR008939888 (SPR)s10114-008-6054-2-e DE-627 ger DE-627 rakwb eng 510 ASE 510 ASE 31.00 bkl Xie, Yu Quan verfasserin aut Some new results on transition probability 2008 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract In this paper, we study the basic properties of stationary transition probability of Markov processes on a general measurable space (E, ℰ), such as the continuity, maximum probability, zero point, positive probability set,standardization, and obtain a series of important results such as Continuity Theorem, Representation Theorem, Lévy Theorem and so on. These results are very useful for us to study stationary tri-point transition probability on a general measurable space (E, ℰ). Our main tools such as Egoroff’s Theorem, Vitali-Hahn-Saks’s Theorem and the theory of atomic set and well-posedness of measure are also very interesting and fashionable. Markov processes (dpeaa)DE-He213 stationary transition probability (dpeaa)DE-He213 maximum probability (dpeaa)DE-He213 uniformly standard (dpeaa)DE-He213 representation theorem (dpeaa)DE-He213 Enthalten in Acta mathematica sinica Berlin : Springer, 1985 24(2008), 12 vom: 05. Nov., Seite 1965-1984 (DE-627)312226470 (DE-600)2011055-8 1439-7617 nnns volume:24 year:2008 number:12 day:05 month:11 pages:1965-1984 https://dx.doi.org/10.1007/s10114-008-6054-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-MAT SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 31.00 ASE AR 24 2008 12 05 11 1965-1984 |
| spelling |
10.1007/s10114-008-6054-2 doi (DE-627)SPR008939888 (SPR)s10114-008-6054-2-e DE-627 ger DE-627 rakwb eng 510 ASE 510 ASE 31.00 bkl Xie, Yu Quan verfasserin aut Some new results on transition probability 2008 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract In this paper, we study the basic properties of stationary transition probability of Markov processes on a general measurable space (E, ℰ), such as the continuity, maximum probability, zero point, positive probability set,standardization, and obtain a series of important results such as Continuity Theorem, Representation Theorem, Lévy Theorem and so on. These results are very useful for us to study stationary tri-point transition probability on a general measurable space (E, ℰ). Our main tools such as Egoroff’s Theorem, Vitali-Hahn-Saks’s Theorem and the theory of atomic set and well-posedness of measure are also very interesting and fashionable. Markov processes (dpeaa)DE-He213 stationary transition probability (dpeaa)DE-He213 maximum probability (dpeaa)DE-He213 uniformly standard (dpeaa)DE-He213 representation theorem (dpeaa)DE-He213 Enthalten in Acta mathematica sinica Berlin : Springer, 1985 24(2008), 12 vom: 05. Nov., Seite 1965-1984 (DE-627)312226470 (DE-600)2011055-8 1439-7617 nnns volume:24 year:2008 number:12 day:05 month:11 pages:1965-1984 https://dx.doi.org/10.1007/s10114-008-6054-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-MAT SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 31.00 ASE AR 24 2008 12 05 11 1965-1984 |
| allfields_unstemmed |
10.1007/s10114-008-6054-2 doi (DE-627)SPR008939888 (SPR)s10114-008-6054-2-e DE-627 ger DE-627 rakwb eng 510 ASE 510 ASE 31.00 bkl Xie, Yu Quan verfasserin aut Some new results on transition probability 2008 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract In this paper, we study the basic properties of stationary transition probability of Markov processes on a general measurable space (E, ℰ), such as the continuity, maximum probability, zero point, positive probability set,standardization, and obtain a series of important results such as Continuity Theorem, Representation Theorem, Lévy Theorem and so on. These results are very useful for us to study stationary tri-point transition probability on a general measurable space (E, ℰ). Our main tools such as Egoroff’s Theorem, Vitali-Hahn-Saks’s Theorem and the theory of atomic set and well-posedness of measure are also very interesting and fashionable. Markov processes (dpeaa)DE-He213 stationary transition probability (dpeaa)DE-He213 maximum probability (dpeaa)DE-He213 uniformly standard (dpeaa)DE-He213 representation theorem (dpeaa)DE-He213 Enthalten in Acta mathematica sinica Berlin : Springer, 1985 24(2008), 12 vom: 05. Nov., Seite 1965-1984 (DE-627)312226470 (DE-600)2011055-8 1439-7617 nnns volume:24 year:2008 number:12 day:05 month:11 pages:1965-1984 https://dx.doi.org/10.1007/s10114-008-6054-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-MAT SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 31.00 ASE AR 24 2008 12 05 11 1965-1984 |
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10.1007/s10114-008-6054-2 doi (DE-627)SPR008939888 (SPR)s10114-008-6054-2-e DE-627 ger DE-627 rakwb eng 510 ASE 510 ASE 31.00 bkl Xie, Yu Quan verfasserin aut Some new results on transition probability 2008 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract In this paper, we study the basic properties of stationary transition probability of Markov processes on a general measurable space (E, ℰ), such as the continuity, maximum probability, zero point, positive probability set,standardization, and obtain a series of important results such as Continuity Theorem, Representation Theorem, Lévy Theorem and so on. These results are very useful for us to study stationary tri-point transition probability on a general measurable space (E, ℰ). Our main tools such as Egoroff’s Theorem, Vitali-Hahn-Saks’s Theorem and the theory of atomic set and well-posedness of measure are also very interesting and fashionable. Markov processes (dpeaa)DE-He213 stationary transition probability (dpeaa)DE-He213 maximum probability (dpeaa)DE-He213 uniformly standard (dpeaa)DE-He213 representation theorem (dpeaa)DE-He213 Enthalten in Acta mathematica sinica Berlin : Springer, 1985 24(2008), 12 vom: 05. Nov., Seite 1965-1984 (DE-627)312226470 (DE-600)2011055-8 1439-7617 nnns volume:24 year:2008 number:12 day:05 month:11 pages:1965-1984 https://dx.doi.org/10.1007/s10114-008-6054-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-MAT SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 31.00 ASE AR 24 2008 12 05 11 1965-1984 |
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10.1007/s10114-008-6054-2 doi (DE-627)SPR008939888 (SPR)s10114-008-6054-2-e DE-627 ger DE-627 rakwb eng 510 ASE 510 ASE 31.00 bkl Xie, Yu Quan verfasserin aut Some new results on transition probability 2008 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract In this paper, we study the basic properties of stationary transition probability of Markov processes on a general measurable space (E, ℰ), such as the continuity, maximum probability, zero point, positive probability set,standardization, and obtain a series of important results such as Continuity Theorem, Representation Theorem, Lévy Theorem and so on. These results are very useful for us to study stationary tri-point transition probability on a general measurable space (E, ℰ). Our main tools such as Egoroff’s Theorem, Vitali-Hahn-Saks’s Theorem and the theory of atomic set and well-posedness of measure are also very interesting and fashionable. Markov processes (dpeaa)DE-He213 stationary transition probability (dpeaa)DE-He213 maximum probability (dpeaa)DE-He213 uniformly standard (dpeaa)DE-He213 representation theorem (dpeaa)DE-He213 Enthalten in Acta mathematica sinica Berlin : Springer, 1985 24(2008), 12 vom: 05. Nov., Seite 1965-1984 (DE-627)312226470 (DE-600)2011055-8 1439-7617 nnns volume:24 year:2008 number:12 day:05 month:11 pages:1965-1984 https://dx.doi.org/10.1007/s10114-008-6054-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-MAT SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 31.00 ASE AR 24 2008 12 05 11 1965-1984 |
| language |
English |
| source |
Enthalten in Acta mathematica sinica 24(2008), 12 vom: 05. Nov., Seite 1965-1984 volume:24 year:2008 number:12 day:05 month:11 pages:1965-1984 |
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Enthalten in Acta mathematica sinica 24(2008), 12 vom: 05. Nov., Seite 1965-1984 volume:24 year:2008 number:12 day:05 month:11 pages:1965-1984 |
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Acta mathematica sinica |
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Xie, Yu Quan @@aut@@ |
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some new results on transition probability |
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Abstract In this paper, we study the basic properties of stationary transition probability of Markov processes on a general measurable space (E, ℰ), such as the continuity, maximum probability, zero point, positive probability set,standardization, and obtain a series of important results such as Continuity Theorem, Representation Theorem, Lévy Theorem and so on. These results are very useful for us to study stationary tri-point transition probability on a general measurable space (E, ℰ). Our main tools such as Egoroff’s Theorem, Vitali-Hahn-Saks’s Theorem and the theory of atomic set and well-posedness of measure are also very interesting and fashionable. |
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Abstract In this paper, we study the basic properties of stationary transition probability of Markov processes on a general measurable space (E, ℰ), such as the continuity, maximum probability, zero point, positive probability set,standardization, and obtain a series of important results such as Continuity Theorem, Representation Theorem, Lévy Theorem and so on. These results are very useful for us to study stationary tri-point transition probability on a general measurable space (E, ℰ). Our main tools such as Egoroff’s Theorem, Vitali-Hahn-Saks’s Theorem and the theory of atomic set and well-posedness of measure are also very interesting and fashionable. |
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Abstract In this paper, we study the basic properties of stationary transition probability of Markov processes on a general measurable space (E, ℰ), such as the continuity, maximum probability, zero point, positive probability set,standardization, and obtain a series of important results such as Continuity Theorem, Representation Theorem, Lévy Theorem and so on. These results are very useful for us to study stationary tri-point transition probability on a general measurable space (E, ℰ). Our main tools such as Egoroff’s Theorem, Vitali-Hahn-Saks’s Theorem and the theory of atomic set and well-posedness of measure are also very interesting and fashionable. |
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These results are very useful for us to study stationary tri-point transition probability on a general measurable space (E, ℰ). 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