<p>This research develops a new framework for modeling the dispersion of contaminants in non-Archimedean media using the Taibleson-Vladimirov <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(D^{\alpha }\)</EquationSource> <EquationSource Format="MATHML"><math> <msup> <mi>D</mi> <mi>α</mi> </msup> </math></EquationSource> </InlineEquation> <i>p</i>-adic pseudo-differential operator. A <i>p</i>-adic differential equation is proposed and solved, modeling the dispersion of contaminants in a <i>p</i>-adic medium initially confined to a specific region. Additionally, it is analyzed how the <i>p</i>-adic heat kernel associated with the Taibleson-Vladimirov <InlineEquation ID="IEq2"> <EquationSource Format="TEX">\(D^{\alpha }\)</EquationSource> <EquationSource Format="MATHML"><math> <msup> <mi>D</mi> <mi>α</mi> </msup> </math></EquationSource> </InlineEquation> operator serves as a powerful tool for understanding how contaminants disperse over time, making the heat kernel a cornerstone for mathematical models aimed at environmental applications in <i>p</i>-adic settings. Furthermore, through the heat equation associated with the Taibleson-Vladimirov <InlineEquation ID="IEq3"> <EquationSource Format="TEX">\(D^{\alpha }\)</EquationSource> <EquationSource Format="MATHML"><math> <msup> <mi>D</mi> <mi>α</mi> </msup> </math></EquationSource> </InlineEquation> operator, the evolution of contaminant concentration over time is described. Finally, a stochastic fractional <i>p</i>-adic diffusion equation is formulated and solved, incorporating initial conditions, external sources, and random noise.</p>

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Environmental contaminant dispersion models based on the Vladimirov-Taibleson p-adic pseudo-differential operator

  • Anselmo Torresblanca-Badillo,
  • Vanessa P. Torresblanca-Badillo

摘要

This research develops a new framework for modeling the dispersion of contaminants in non-Archimedean media using the Taibleson-Vladimirov \(D^{\alpha }\) D α p-adic pseudo-differential operator. A p-adic differential equation is proposed and solved, modeling the dispersion of contaminants in a p-adic medium initially confined to a specific region. Additionally, it is analyzed how the p-adic heat kernel associated with the Taibleson-Vladimirov \(D^{\alpha }\) D α operator serves as a powerful tool for understanding how contaminants disperse over time, making the heat kernel a cornerstone for mathematical models aimed at environmental applications in p-adic settings. Furthermore, through the heat equation associated with the Taibleson-Vladimirov \(D^{\alpha }\) D α operator, the evolution of contaminant concentration over time is described. Finally, a stochastic fractional p-adic diffusion equation is formulated and solved, incorporating initial conditions, external sources, and random noise.