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Inverse z-Transform by Partial Fraction Expansion01:20

Inverse z-Transform by Partial Fraction Expansion

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The inverse z-transform is a crucial technique for converting a function from its z-domain representation back to the time domain. One effective method for finding the inverse z-transform is the Partial Fraction Method, which involves decomposing a function into simpler fractions with distinct coefficients. These fractions correspond to known z-transform pairs, facilitating the inverse transformation process.
To begin the process, the poles of the function are identified and the function is...
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Partial Fractions01:28

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A partial fraction is a component of a rational expression represented as the sum of simpler fractions. When a rational function is expressed as a ratio of two polynomials, it can often be decomposed into a sum of fractions whose denominators are simpler polynomials, typically linear or irreducible quadratic factors. This process is called partial fraction decomposition, and it is used to simplify complex expressions for integration, solving equations, or analysis.Partial fraction decomposition...
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Subcellular Fractionation01:32

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The homogenate obtained after cell lysis contains various membrane-bound organelles that can be further separated into pure fractions by subcellular fractionation. These isolates are used to study specific cellular components, analyze localized protein activity, and are even employed in diagnostics. Fractionation is typically achieved using centrifugation methods, the most common being density-gradient and differential centrifugation.
Differential Centrifugation
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Mixtures of Gases: Dalton's Law of Partial Pressures and Mole Fractions03:03

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Unless individual gases chemically react with each other, the individual gases in a mixture of gases do not affect each other’s pressure. Each gas in a mixture exerts the same pressure that it would exert if it were present alone in the container. The pressure exerted by each individual gas in a mixture is called its partial pressure.
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Electrostatic Boundary Conditions01:16

Electrostatic Boundary Conditions

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Consider an external electric field propagating through a homogeneous medium. When the electric field crosses the surface boundary of the medium, it undergoes a discontinuity. The electric field can be resolved into normal and tangential components. The amount by which the field changes at any boundary is given by the difference between the field components above and below the surface boundary.
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Magnetostatic Boundary Conditions01:28

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An electric field suffers a discontinuity at a surface charge. Similarly, a magnetic field is discontinuous at a surface current. The perpendicular component of a magnetic field is continuous across the interface of two magnetic mediums. In contrast, its parallel component, perpendicular to the current, is discontinuous by the amount equal to the product of the vacuum permeability and the surface current. Like the scalar potential in electrostatics, the vector potential is also continuous...
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Updated: Jan 29, 2026

Real-time Iontophoresis with Tetramethylammonium to Quantify Volume Fraction and Tortuosity of Brain Extracellular Space
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An Inverse Problem for a Fractional Space-Time Diffusion Equation with Fractional Boundary Condition.

Rafał Brociek1,2, Agata Wajda3, Christian Napoli4,5

  • 1Department of Artificial Intelligence Modelling, Faculty of Applied Mathematics, Silesian University of Technology, Kaszubska 23, 44-100 Gliwice, Poland.

Entropy (Basel, Switzerland)
|January 28, 2026
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Summary

This study introduces a novel algorithm for fractional differential equations, effectively solving direct and inverse problems. It models anomalous diffusion by identifying unknown functions in fractional boundary conditions.

Keywords:
fractional boundary conditionidentifying parametersinverse problemtime-space fractional diffusion equation

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Area of Science:

  • Applied Mathematics
  • Computational Science
  • Physics

Background:

  • Fractional differential equations model complex phenomena like anomalous diffusion.
  • Solving inverse problems involving these equations is challenging.

Purpose of the Study:

  • To develop and present an algorithm for solving direct and inverse problems for fractional differential equations.
  • To model anomalous diffusion using fractional calculus and identify unknown parameters in boundary conditions.

Main Methods:

  • Utilized Caputo derivative for time and Riemann-Liouville derivative for space fractional derivatives.
  • Implemented a differential scheme for the direct problem.
  • Employed the Group Teaching Optimization Algorithm (GTOA) for the inverse problem.

Main Results:

  • Successfully solved both direct and inverse problems for the fractional model.
  • Identified an unknown function within the fractional boundary condition.
  • Numerical examples validated the proposed methods' effectiveness.

Conclusions:

  • The proposed algorithm is an effective tool for modeling anomalous diffusion.
  • The approach provides a robust method for solving fractional differential equations and their inverse problems.