Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

N-dimensional fractional diffusion equation and Green function approach: spatially dependent diffusion coefficient

E K Lenzi1, R S Mendes, J S Andrade

  • 1Departamento de Física, Universidade Estadual de Maringá, Avenida Colombo 5790, 87020-900 Maringá PR, Brazil.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|August 11, 2005
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Moon phases influence encounters of anurans in the Brazilian semi-arid region of Piauí.

Brazilian journal of biology = Revista brasleira de biologia·2026
Same author

Prolate and oblate nematic shells under equal and hybrid alignments.

Physical review. E·2026
Same author

Anomalous dynamics in complex quantum systems with nonlocal interactions.

Chaos (Woodbury, N.Y.)·2026
Same author

Multifractal analysis and support vector machine for the classification of coronaviruses and SARS-CoV-2 variants.

Scientific reports·2025
Same author

Anomalous relaxation and electrical impedance: A diffusion approach with adsorption-desorption at the interfaces.

Chaos (Woodbury, N.Y.)·2025
Same author

Diffusion in comb-structured surfaces coupled to bulk processes.

Chaos (Woodbury, N.Y.)·2025
Same journal

Tension on dsDNA bound to ssDNA-RecA filaments may play an important role in driving efficient and accurate homology recognition and strand exchange.

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Amplitude-phase coupling drives chimera states in globally coupled laser networks [Phys. Rev. E 91, 040901(R) (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Erratum: Shapes of sedimenting soft elastic capsules in a viscous fluid [Phys. Rev. E 92, 033003 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Erratum: Attenuation of excitation decay rate due to collective effect [Phys. Rev. E 90, 022142 (2014)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Role of connectivity and fluctuations in the nucleation of calcium waves in cardiac cells [Phys. Rev. E 92, 052715 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Lattice Boltzmann approach for complex nonequilibrium flows [Phys. Rev. E 92, 043308 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
See all related articles

This study explores fractional diffusion equations with spatial dependencies and external forces using Green functions. The findings reveal a wide range of diffusion processes, encompassing both normal and anomalous diffusion.

Area of Science:

  • Mathematical Physics
  • Partial Differential Equations
  • Fractional Calculus

Background:

  • Fractional diffusion equations model complex transport phenomena.
  • Understanding diffusion with spatially varying coefficients and external forces is crucial.
  • Green function methods offer powerful analytical tools for such equations.

Purpose of the Study:

  • To analyze an N-dimensional fractional diffusion equation with radial symmetry.
  • To incorporate spatial dependence in the diffusion coefficient and external forces.
  • To investigate solutions under finite and semi-infinite interval boundary conditions.

Main Methods:

  • Utilizing the Green function approach for analytical solutions.
  • Applying boundary conditions on finite and then semi-infinite intervals.

Related Experiment Videos

  • Analyzing the impact of spatial diffusion coefficient dependence and external forces.
  • Main Results:

    • Derivation of solutions for the N-dimensional fractional diffusion equation.
    • Demonstration of how spatial dependence and external forces affect diffusion dynamics.
    • Obtaining a broad spectrum of diffusive behaviors, including normal and anomalous diffusion.

    Conclusions:

    • The Green function approach provides a versatile framework for solving fractional diffusion equations.
    • The model successfully captures diverse diffusion processes.
    • This work offers insights into anomalous transport phenomena and their mathematical descriptions.