Spatiotemporal inhomogeneous pattern of a predator–prey model with delay and chemotaxis
Abstract In this paper, we investigate the spatiotemporal inhomogeneous pattern phenomenon of a predator–prey model with chemotaxis and time delay. The precise intervals of the Turing instability are yielded so that we can obtain sufficient conditions to ensure the existence of the Turing instabilit...
Ausführliche Beschreibung
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| Autor*in: |
Chen, Mengxin [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2023 |
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| Anmerkung: |
© The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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| Übergeordnetes Werk: |
Enthalten in: Nonlinear dynamics - Dordrecht [u.a.] : Springer Science + Business Media B.V, 1990, 111(2023), 20 vom: 12. Sept., Seite 19527-19541 |
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| Übergeordnetes Werk: |
volume:111 ; year:2023 ; number:20 ; day:12 ; month:09 ; pages:19527-19541 |
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| DOI / URN: |
10.1007/s11071-023-08883-z |
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SPR05336032X |
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| 245 | 1 | 0 | |a Spatiotemporal inhomogeneous pattern of a predator–prey model with delay and chemotaxis |
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| 520 | |a Abstract In this paper, we investigate the spatiotemporal inhomogeneous pattern phenomenon of a predator–prey model with chemotaxis and time delay. The precise intervals of the Turing instability are yielded so that we can obtain sufficient conditions to ensure the existence of the Turing instability by adjusting the ranges of the control parameters of time delay and chemotaxis. Also, we perform the occurrence conditions of the Turing–Hopf bifurcation by employing the time delay control parameter and chemotaxis sensitivity coefficient as the bifurcation parameter. Theoretically, there are no Hopf bifurcation, Turing instability, and Turing–Hopf bifurcation as the chemotaxis effect and time delay are absent. Of course, complicated spatiotemporal inhomogeneous patterns are displayed with the help of numerical experiments. Particularly, we find that both the time delay control parameter and chemotaxis sensitivity coefficient can affect the formation of the spatiotemporal inhomogeneous patterns. Certainly, the method could be applied in other reaction–diffusion models with the chemotaxis and full/non-full time delay in reaction kinetics terms. | ||
| 650 | 4 | |a Chemotaxis |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Pattern formation |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Delay |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Turing instability |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Turing–Hopf bifurcation |7 (dpeaa)DE-He213 | |
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10.1007/s11071-023-08883-z doi (DE-627)SPR05336032X (SPR)s11071-023-08883-z-e DE-627 ger DE-627 rakwb eng Chen, Mengxin verfasserin (orcid)0000-0002-9122-4493 aut Spatiotemporal inhomogeneous pattern of a predator–prey model with delay and chemotaxis 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract In this paper, we investigate the spatiotemporal inhomogeneous pattern phenomenon of a predator–prey model with chemotaxis and time delay. The precise intervals of the Turing instability are yielded so that we can obtain sufficient conditions to ensure the existence of the Turing instability by adjusting the ranges of the control parameters of time delay and chemotaxis. Also, we perform the occurrence conditions of the Turing–Hopf bifurcation by employing the time delay control parameter and chemotaxis sensitivity coefficient as the bifurcation parameter. Theoretically, there are no Hopf bifurcation, Turing instability, and Turing–Hopf bifurcation as the chemotaxis effect and time delay are absent. Of course, complicated spatiotemporal inhomogeneous patterns are displayed with the help of numerical experiments. Particularly, we find that both the time delay control parameter and chemotaxis sensitivity coefficient can affect the formation of the spatiotemporal inhomogeneous patterns. Certainly, the method could be applied in other reaction–diffusion models with the chemotaxis and full/non-full time delay in reaction kinetics terms. Chemotaxis (dpeaa)DE-He213 Pattern formation (dpeaa)DE-He213 Delay (dpeaa)DE-He213 Turing instability (dpeaa)DE-He213 Turing–Hopf bifurcation (dpeaa)DE-He213 Enthalten in Nonlinear dynamics Dordrecht [u.a.] : Springer Science + Business Media B.V, 1990 111(2023), 20 vom: 12. Sept., Seite 19527-19541 (DE-627)315297034 (DE-600)2012600-1 1573-269X nnns volume:111 year:2023 number:20 day:12 month:09 pages:19527-19541 https://dx.doi.org/10.1007/s11071-023-08883-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_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_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_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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 111 2023 20 12 09 19527-19541 |
| spelling |
10.1007/s11071-023-08883-z doi (DE-627)SPR05336032X (SPR)s11071-023-08883-z-e DE-627 ger DE-627 rakwb eng Chen, Mengxin verfasserin (orcid)0000-0002-9122-4493 aut Spatiotemporal inhomogeneous pattern of a predator–prey model with delay and chemotaxis 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract In this paper, we investigate the spatiotemporal inhomogeneous pattern phenomenon of a predator–prey model with chemotaxis and time delay. The precise intervals of the Turing instability are yielded so that we can obtain sufficient conditions to ensure the existence of the Turing instability by adjusting the ranges of the control parameters of time delay and chemotaxis. Also, we perform the occurrence conditions of the Turing–Hopf bifurcation by employing the time delay control parameter and chemotaxis sensitivity coefficient as the bifurcation parameter. Theoretically, there are no Hopf bifurcation, Turing instability, and Turing–Hopf bifurcation as the chemotaxis effect and time delay are absent. Of course, complicated spatiotemporal inhomogeneous patterns are displayed with the help of numerical experiments. Particularly, we find that both the time delay control parameter and chemotaxis sensitivity coefficient can affect the formation of the spatiotemporal inhomogeneous patterns. Certainly, the method could be applied in other reaction–diffusion models with the chemotaxis and full/non-full time delay in reaction kinetics terms. Chemotaxis (dpeaa)DE-He213 Pattern formation (dpeaa)DE-He213 Delay (dpeaa)DE-He213 Turing instability (dpeaa)DE-He213 Turing–Hopf bifurcation (dpeaa)DE-He213 Enthalten in Nonlinear dynamics Dordrecht [u.a.] : Springer Science + Business Media B.V, 1990 111(2023), 20 vom: 12. Sept., Seite 19527-19541 (DE-627)315297034 (DE-600)2012600-1 1573-269X nnns volume:111 year:2023 number:20 day:12 month:09 pages:19527-19541 https://dx.doi.org/10.1007/s11071-023-08883-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_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_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_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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 111 2023 20 12 09 19527-19541 |
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10.1007/s11071-023-08883-z doi (DE-627)SPR05336032X (SPR)s11071-023-08883-z-e DE-627 ger DE-627 rakwb eng Chen, Mengxin verfasserin (orcid)0000-0002-9122-4493 aut Spatiotemporal inhomogeneous pattern of a predator–prey model with delay and chemotaxis 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract In this paper, we investigate the spatiotemporal inhomogeneous pattern phenomenon of a predator–prey model with chemotaxis and time delay. The precise intervals of the Turing instability are yielded so that we can obtain sufficient conditions to ensure the existence of the Turing instability by adjusting the ranges of the control parameters of time delay and chemotaxis. Also, we perform the occurrence conditions of the Turing–Hopf bifurcation by employing the time delay control parameter and chemotaxis sensitivity coefficient as the bifurcation parameter. Theoretically, there are no Hopf bifurcation, Turing instability, and Turing–Hopf bifurcation as the chemotaxis effect and time delay are absent. Of course, complicated spatiotemporal inhomogeneous patterns are displayed with the help of numerical experiments. Particularly, we find that both the time delay control parameter and chemotaxis sensitivity coefficient can affect the formation of the spatiotemporal inhomogeneous patterns. Certainly, the method could be applied in other reaction–diffusion models with the chemotaxis and full/non-full time delay in reaction kinetics terms. Chemotaxis (dpeaa)DE-He213 Pattern formation (dpeaa)DE-He213 Delay (dpeaa)DE-He213 Turing instability (dpeaa)DE-He213 Turing–Hopf bifurcation (dpeaa)DE-He213 Enthalten in Nonlinear dynamics Dordrecht [u.a.] : Springer Science + Business Media B.V, 1990 111(2023), 20 vom: 12. Sept., Seite 19527-19541 (DE-627)315297034 (DE-600)2012600-1 1573-269X nnns volume:111 year:2023 number:20 day:12 month:09 pages:19527-19541 https://dx.doi.org/10.1007/s11071-023-08883-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_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_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_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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 111 2023 20 12 09 19527-19541 |
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10.1007/s11071-023-08883-z doi (DE-627)SPR05336032X (SPR)s11071-023-08883-z-e DE-627 ger DE-627 rakwb eng Chen, Mengxin verfasserin (orcid)0000-0002-9122-4493 aut Spatiotemporal inhomogeneous pattern of a predator–prey model with delay and chemotaxis 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract In this paper, we investigate the spatiotemporal inhomogeneous pattern phenomenon of a predator–prey model with chemotaxis and time delay. The precise intervals of the Turing instability are yielded so that we can obtain sufficient conditions to ensure the existence of the Turing instability by adjusting the ranges of the control parameters of time delay and chemotaxis. Also, we perform the occurrence conditions of the Turing–Hopf bifurcation by employing the time delay control parameter and chemotaxis sensitivity coefficient as the bifurcation parameter. Theoretically, there are no Hopf bifurcation, Turing instability, and Turing–Hopf bifurcation as the chemotaxis effect and time delay are absent. Of course, complicated spatiotemporal inhomogeneous patterns are displayed with the help of numerical experiments. Particularly, we find that both the time delay control parameter and chemotaxis sensitivity coefficient can affect the formation of the spatiotemporal inhomogeneous patterns. Certainly, the method could be applied in other reaction–diffusion models with the chemotaxis and full/non-full time delay in reaction kinetics terms. Chemotaxis (dpeaa)DE-He213 Pattern formation (dpeaa)DE-He213 Delay (dpeaa)DE-He213 Turing instability (dpeaa)DE-He213 Turing–Hopf bifurcation (dpeaa)DE-He213 Enthalten in Nonlinear dynamics Dordrecht [u.a.] : Springer Science + Business Media B.V, 1990 111(2023), 20 vom: 12. Sept., Seite 19527-19541 (DE-627)315297034 (DE-600)2012600-1 1573-269X nnns volume:111 year:2023 number:20 day:12 month:09 pages:19527-19541 https://dx.doi.org/10.1007/s11071-023-08883-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_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_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_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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 111 2023 20 12 09 19527-19541 |
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10.1007/s11071-023-08883-z doi (DE-627)SPR05336032X (SPR)s11071-023-08883-z-e DE-627 ger DE-627 rakwb eng Chen, Mengxin verfasserin (orcid)0000-0002-9122-4493 aut Spatiotemporal inhomogeneous pattern of a predator–prey model with delay and chemotaxis 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract In this paper, we investigate the spatiotemporal inhomogeneous pattern phenomenon of a predator–prey model with chemotaxis and time delay. The precise intervals of the Turing instability are yielded so that we can obtain sufficient conditions to ensure the existence of the Turing instability by adjusting the ranges of the control parameters of time delay and chemotaxis. Also, we perform the occurrence conditions of the Turing–Hopf bifurcation by employing the time delay control parameter and chemotaxis sensitivity coefficient as the bifurcation parameter. Theoretically, there are no Hopf bifurcation, Turing instability, and Turing–Hopf bifurcation as the chemotaxis effect and time delay are absent. Of course, complicated spatiotemporal inhomogeneous patterns are displayed with the help of numerical experiments. Particularly, we find that both the time delay control parameter and chemotaxis sensitivity coefficient can affect the formation of the spatiotemporal inhomogeneous patterns. Certainly, the method could be applied in other reaction–diffusion models with the chemotaxis and full/non-full time delay in reaction kinetics terms. Chemotaxis (dpeaa)DE-He213 Pattern formation (dpeaa)DE-He213 Delay (dpeaa)DE-He213 Turing instability (dpeaa)DE-He213 Turing–Hopf bifurcation (dpeaa)DE-He213 Enthalten in Nonlinear dynamics Dordrecht [u.a.] : Springer Science + Business Media B.V, 1990 111(2023), 20 vom: 12. Sept., Seite 19527-19541 (DE-627)315297034 (DE-600)2012600-1 1573-269X nnns volume:111 year:2023 number:20 day:12 month:09 pages:19527-19541 https://dx.doi.org/10.1007/s11071-023-08883-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_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_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_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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 111 2023 20 12 09 19527-19541 |
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Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract In this paper, we investigate the spatiotemporal inhomogeneous pattern phenomenon of a predator–prey model with chemotaxis and time delay. The precise intervals of the Turing instability are yielded so that we can obtain sufficient conditions to ensure the existence of the Turing instability by adjusting the ranges of the control parameters of time delay and chemotaxis. Also, we perform the occurrence conditions of the Turing–Hopf bifurcation by employing the time delay control parameter and chemotaxis sensitivity coefficient as the bifurcation parameter. Theoretically, there are no Hopf bifurcation, Turing instability, and Turing–Hopf bifurcation as the chemotaxis effect and time delay are absent. Of course, complicated spatiotemporal inhomogeneous patterns are displayed with the help of numerical experiments. Particularly, we find that both the time delay control parameter and chemotaxis sensitivity coefficient can affect the formation of the spatiotemporal inhomogeneous patterns. 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spatiotemporal inhomogeneous pattern of a predator–prey model with delay and chemotaxis |
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Spatiotemporal inhomogeneous pattern of a predator–prey model with delay and chemotaxis |
| abstract |
Abstract In this paper, we investigate the spatiotemporal inhomogeneous pattern phenomenon of a predator–prey model with chemotaxis and time delay. The precise intervals of the Turing instability are yielded so that we can obtain sufficient conditions to ensure the existence of the Turing instability by adjusting the ranges of the control parameters of time delay and chemotaxis. Also, we perform the occurrence conditions of the Turing–Hopf bifurcation by employing the time delay control parameter and chemotaxis sensitivity coefficient as the bifurcation parameter. Theoretically, there are no Hopf bifurcation, Turing instability, and Turing–Hopf bifurcation as the chemotaxis effect and time delay are absent. Of course, complicated spatiotemporal inhomogeneous patterns are displayed with the help of numerical experiments. Particularly, we find that both the time delay control parameter and chemotaxis sensitivity coefficient can affect the formation of the spatiotemporal inhomogeneous patterns. Certainly, the method could be applied in other reaction–diffusion models with the chemotaxis and full/non-full time delay in reaction kinetics terms. © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstractGer |
Abstract In this paper, we investigate the spatiotemporal inhomogeneous pattern phenomenon of a predator–prey model with chemotaxis and time delay. The precise intervals of the Turing instability are yielded so that we can obtain sufficient conditions to ensure the existence of the Turing instability by adjusting the ranges of the control parameters of time delay and chemotaxis. Also, we perform the occurrence conditions of the Turing–Hopf bifurcation by employing the time delay control parameter and chemotaxis sensitivity coefficient as the bifurcation parameter. Theoretically, there are no Hopf bifurcation, Turing instability, and Turing–Hopf bifurcation as the chemotaxis effect and time delay are absent. Of course, complicated spatiotemporal inhomogeneous patterns are displayed with the help of numerical experiments. Particularly, we find that both the time delay control parameter and chemotaxis sensitivity coefficient can affect the formation of the spatiotemporal inhomogeneous patterns. Certainly, the method could be applied in other reaction–diffusion models with the chemotaxis and full/non-full time delay in reaction kinetics terms. © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstract_unstemmed |
Abstract In this paper, we investigate the spatiotemporal inhomogeneous pattern phenomenon of a predator–prey model with chemotaxis and time delay. The precise intervals of the Turing instability are yielded so that we can obtain sufficient conditions to ensure the existence of the Turing instability by adjusting the ranges of the control parameters of time delay and chemotaxis. Also, we perform the occurrence conditions of the Turing–Hopf bifurcation by employing the time delay control parameter and chemotaxis sensitivity coefficient as the bifurcation parameter. Theoretically, there are no Hopf bifurcation, Turing instability, and Turing–Hopf bifurcation as the chemotaxis effect and time delay are absent. Of course, complicated spatiotemporal inhomogeneous patterns are displayed with the help of numerical experiments. Particularly, we find that both the time delay control parameter and chemotaxis sensitivity coefficient can affect the formation of the spatiotemporal inhomogeneous patterns. Certainly, the method could be applied in other reaction–diffusion models with the chemotaxis and full/non-full time delay in reaction kinetics terms. © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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Spatiotemporal inhomogeneous pattern of a predator–prey model with delay and chemotaxis |
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https://dx.doi.org/10.1007/s11071-023-08883-z |
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