Related Experiment Video
Updated: Apr 10, 2026

X-ray Beam Induced Current Measurements for Multi-Modal X-ray Microscopy of Solar Cells
Published on: August 20, 2019
Discrete variable representation of the Smoluchowski equation using a sinc basis set
Andrea Piserchia1, Vincenzo Barone
1Scuola Normale Superiore, piazza dei Cavalieri 7, I-56126 Pisa, Italy. andrea.piserchia@sns.it.
We developed a new discrete variable representation (DVR) framework using a sinc basis set to solve the Smoluchowski equation. This method offers a reliable and efficient approach for complex diffusion problems.
Area of Science:
- Computational physics
- Chemical kinetics
- Mathematical modeling
Background:
- The Smoluchowski equation is crucial for modeling diffusion-controlled processes.
- Traditional numerical methods face limitations with complex systems and multidimensional treatments.
- Accurate solutions are needed for understanding reaction dynamics and material transport.
Purpose of the Study:
- To introduce a novel general framework for solving the one-dimensional Smoluchowski equation.
- To utilize a discrete variable representation (DVR) based on the sinc basis set for enhanced accuracy.
- To establish a reliable computational method for diffusion dynamics.
Main Methods:
- Implementation of a DVR method employing a sinc basis set.
- Solving the monodimensional Smoluchowski equation numerically.
- Comparison of convergence with a finite difference scheme for validation.
Main Results:
- The proposed DVR method demonstrates reliable convergence for diffusive operator eigenvalues.
- Performance is comparable or superior to traditional finite difference schemes for model problems.
- The framework shows potential for handling more complex Smoluchowski equation scenarios.
Conclusions:
- The sinc basis set DVR offers a powerful and accurate tool for Smoluchowski equation solutions.
- This approach overcomes limitations of traditional methods in complex and multidimensional systems.
- Encourages future applications in advanced diffusion and reaction dynamics modeling.
Related Concept Videos
Basic signals of Fourier Transform
The sinc function, defined as sinc(x) = sin(πx)/(πx), is particularly notable for its symmetry and behavior at...
Graphical and Analytic Representation of Sinusoids
The first step is measuring the peak-to-peak value, which is twice the amplitude of the sinusoid. This provides information about the maximum voltage swing of the waveform.
Secondly, the period and angular frequency are determined. The period is the time taken for one complete cycle of the waveform, while...
Exponential and Sinusoidal Signals
Basic Discrete Time Signals
The unit impulse or sample sequence is mathematically expressed as zero for all n values except at n=0, where it is one. The unit impulse sequence, denoted by δ(n), is the first difference of the unit step sequence, while the unit step sequence u(n) is the...
State Space Representation
Consider an RLC circuit, a...
Integrals of Powers of Sine and Cosine

