The document presents the application of the reduced differential transform method (RDTM) to solve time-fractional order beam and beam-like equations. RDTM is used to obtain approximate analytical solutions to these equations in the form of a series with few computations. Three test problems are solved to validate the method. The solutions obtained by RDTM for the test problems agree well with the exact solutions.
The document discusses the calculus of variations and derives Euler's equation. It explains that the fundamental problem is to find an unknown function that makes a functional (function of a function) an extremum. Euler's equation provides the necessary condition for a functional to be extremized. As an example, it derives the Euler-Lagrange equation for the shortest distance between two points in Cartesian coordinates, showing the path is a straight line.
1) The document discusses the existence of solutions for a nonlinear fractional differential equation with an integral boundary condition. It considers equations defined on the interval [0,T] with values in the space of continuous functions C[0,T].
2) It introduces relevant definitions, lemmas, and theorems for fractional calculus and fixed point theory. It then proves that solutions exist based on the Ascoli-Arzela theorem and Schauder-Tychonoff fixed point theorem.
3) The main result provides an explicit formula for the solution in terms of integrals involving the functions defining the fractional differential equation and the boundary conditions. Existence is established by showing the solution map is a contraction.
Existence of Solutions of Fractional Neutral Integrodifferential Equations wi...inventionjournals
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
Decay Property for Solutions to Plate Type Equations with Variable CoefficientsEditor IJCATR
In this paper we consider the initial value problem for a plate type equation with variable coefficients and memory in
1 n R n ), which is of regularity-loss property. By using spectrally resolution, we study the pointwise estimates in the spectral
space of the fundamental solution to the corresponding linear problem. Appealing to this pointwise estimates, we obtain the global
existence and the decay estimates of solutions to the semilinear problem by employing the fixed point theorem
EXACT SOLUTIONS OF A FAMILY OF HIGHER-DIMENSIONAL SPACE-TIME FRACTIONAL KDV-T...cscpconf
In this paper, based on the definition of conformable fractional derivative, the functional
variable method (FVM) is proposed to seek the exact traveling wave solutions of two higherdimensional
space-time fractional KdV-type equations in mathematical physics, namely the
(3+1)-dimensional space–time fractional Zakharov-Kuznetsov (ZK) equation and the (2+1)-
dimensional space–time fractional Generalized Zakharov-Kuznetsov-Benjamin-Bona-Mahony
(GZK-BBM) equation. Some new solutions are procured and depicted. These solutions, which
contain kink-shaped, singular kink, bell-shaped soliton, singular soliton and periodic wave
solutions, have many potential applications in mathematical physics and engineering. The
simplicity and reliability of the proposed method is verified.
Existence and Uniqueness Result for a Class of Impulsive Delay Differential E...AI Publications
In this paper, we investigate the existence and uniqueness of solutions of the formulated problem of impulsive delay differential equation with continuous delay. The strategy adopted for the proof is based on Caratheodory’s techniquesand Lipschitz condition is required to obtain uniqueness.
The document provides an overview and history of the wavelet transform. It can be summarized as follows:
1. The wavelet transform was developed to address limitations of the Fourier transform and short-time Fourier transform in analyzing signals both in time and frequency. It uses wavelets of limited duration that can be scaled and translated.
2. The history of the wavelet transform began in 1909 with Haar wavelets. The concept of wavelets was then proposed in 1981 and the term was coined in 1984. Important developments included the construction of additional orthogonal wavelets in 1985, the proposal of the multiresolution concept in 1988, and the fast wavelet transform algorithm in 1989, enabling numerous applications.
3.
Differential equations can be powerful tools for modeling data. New methods allow estimating differential equations directly from data. As an example, the author estimates a differential equation model from simulated data from a chemical reactor. The estimated parameters are close to the true values, demonstrating the method works well on simulated data.
The document discusses the calculus of variations and derives Euler's equation. It explains that the fundamental problem is to find an unknown function that makes a functional (function of a function) an extremum. Euler's equation provides the necessary condition for a functional to be extremized. As an example, it derives the Euler-Lagrange equation for the shortest distance between two points in Cartesian coordinates, showing the path is a straight line.
1) The document discusses the existence of solutions for a nonlinear fractional differential equation with an integral boundary condition. It considers equations defined on the interval [0,T] with values in the space of continuous functions C[0,T].
2) It introduces relevant definitions, lemmas, and theorems for fractional calculus and fixed point theory. It then proves that solutions exist based on the Ascoli-Arzela theorem and Schauder-Tychonoff fixed point theorem.
3) The main result provides an explicit formula for the solution in terms of integrals involving the functions defining the fractional differential equation and the boundary conditions. Existence is established by showing the solution map is a contraction.
Existence of Solutions of Fractional Neutral Integrodifferential Equations wi...inventionjournals
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
Decay Property for Solutions to Plate Type Equations with Variable CoefficientsEditor IJCATR
In this paper we consider the initial value problem for a plate type equation with variable coefficients and memory in
1 n R n ), which is of regularity-loss property. By using spectrally resolution, we study the pointwise estimates in the spectral
space of the fundamental solution to the corresponding linear problem. Appealing to this pointwise estimates, we obtain the global
existence and the decay estimates of solutions to the semilinear problem by employing the fixed point theorem
EXACT SOLUTIONS OF A FAMILY OF HIGHER-DIMENSIONAL SPACE-TIME FRACTIONAL KDV-T...cscpconf
In this paper, based on the definition of conformable fractional derivative, the functional
variable method (FVM) is proposed to seek the exact traveling wave solutions of two higherdimensional
space-time fractional KdV-type equations in mathematical physics, namely the
(3+1)-dimensional space–time fractional Zakharov-Kuznetsov (ZK) equation and the (2+1)-
dimensional space–time fractional Generalized Zakharov-Kuznetsov-Benjamin-Bona-Mahony
(GZK-BBM) equation. Some new solutions are procured and depicted. These solutions, which
contain kink-shaped, singular kink, bell-shaped soliton, singular soliton and periodic wave
solutions, have many potential applications in mathematical physics and engineering. The
simplicity and reliability of the proposed method is verified.
Existence and Uniqueness Result for a Class of Impulsive Delay Differential E...AI Publications
In this paper, we investigate the existence and uniqueness of solutions of the formulated problem of impulsive delay differential equation with continuous delay. The strategy adopted for the proof is based on Caratheodory’s techniquesand Lipschitz condition is required to obtain uniqueness.
The document provides an overview and history of the wavelet transform. It can be summarized as follows:
1. The wavelet transform was developed to address limitations of the Fourier transform and short-time Fourier transform in analyzing signals both in time and frequency. It uses wavelets of limited duration that can be scaled and translated.
2. The history of the wavelet transform began in 1909 with Haar wavelets. The concept of wavelets was then proposed in 1981 and the term was coined in 1984. Important developments included the construction of additional orthogonal wavelets in 1985, the proposal of the multiresolution concept in 1988, and the fast wavelet transform algorithm in 1989, enabling numerous applications.
3.
Differential equations can be powerful tools for modeling data. New methods allow estimating differential equations directly from data. As an example, the author estimates a differential equation model from simulated data from a chemical reactor. The estimated parameters are close to the true values, demonstrating the method works well on simulated data.
Computing f-Divergences and Distances of\\ High-Dimensional Probability Densi...Alexander Litvinenko
Talk presented on SIAM IS 2022 conference.
Very often, in the course of uncertainty quantification tasks or
data analysis, one has to deal with high-dimensional random variables (RVs)
(with values in $\Rd$). Just like any other RV,
a high-dimensional RV can be described by its probability density (\pdf) and/or
by the corresponding probability characteristic functions (\pcf),
or a more general representation as
a function of other, known, random variables.
Here the interest is mainly to compute characterisations like the entropy, the Kullback-Leibler, or more general
$f$-divergences. These are all computed from the \pdf, which is often not available directly,
and it is a computational challenge to even represent it in a numerically
feasible fashion in case the dimension $d$ is even moderately large. It
is an even stronger numerical challenge to then actually compute said characterisations
in the high-dimensional case.
In this regard, in order to achieve a computationally feasible task, we propose
to approximate density by a low-rank tensor.
Redundancy in robot manipulators and multi robot systemsSpringer
This document summarizes how variational methods have been used to analyze three classes of snakelike robots: (1) hyper-redundant manipulators guided by backbone curves, (2) flexible steerable needles, and (3) concentric tube continuum robots. For hyper-redundant manipulators, variational methods are used to constrain degrees of freedom and provide redundancy resolution. For steerable needles, they generate optimal open-loop plans and model needle-tissue interactions. For concentric tube robots, they determine equilibrium conformations dictated by elastic mechanics principles. The document reviews these applications and illustrates how variational methods provide a natural analysis tool for various snakelike robots.
The feedback-control-for-distributed-systemsCemal Ardil
The document summarizes a study on feedback control synthesis for distributed systems. The study proposes a zone control approach, where the state space is partitioned into zones defined by observable points. Control actions are piecewise constant functions that only change when the system transitions between zones. An optimization problem is formulated to determine the optimal constant control value for each zone. Gradient formulas are derived to solve this using numerical optimization methods. The zone control approach was tested on heat exchanger process control problems and showed more robust performance than alternative methods.
1) The document discusses using the residue theorem to evaluate a complex contour integral to calculate the Laplace transform of the output of an ideal sampler. This provides a closed-form solution that is less painful than the infinite series form.
2) An ideal sampler can be modeled as a carrier signal modulated by the input signal. The output of the sampler is then sent to a zero-order hold.
3) By choosing an appropriate contour, the complex contour integral can be evaluated using the residue theorem. This gives the Laplace transform of the sampler output in terms of the residues of the integrand's poles.
On the construction and comparison of an explicit iterativeAlexander Decker
The document presents an explicit iterative algorithm to solve ordinary differential equations with initial conditions. It constructs the algorithm and compares its performance to two non-standard finite difference schemes on two test problems. For both test problems, the proposed algorithm performs better in terms of maximum absolute error and computational effort. It also efficiently follows the oscillatory behavior of nonlinear systems like Lotka-Volterra and mass-spring models compared to the nonstandard schemes. Numerical results obtained with the proposed algorithm are found to be computationally reliable and practical compared to the two other methods discussed.
An Approach For Solving Nonlinear Programming ProblemsMary Montoya
This document presents an approach for solving nonlinear programming problems using measure theory. It begins by transforming a nonlinear programming problem into an optimal control problem by treating the variables as time-varying and integrating the objective and constraint functions. It then solves the optimal control problem using measure theory by representing the control-trajectory pair as a positive Radon measure on the space of trajectories and controls. Finally, it shows that the optimal solution to the transformed optimal control problem provides an approximate optimal solution to the original nonlinear programming problem.
On the k-Riemann-Liouville fractional integral and applications Premier Publishers
Fractional calculus is a generalization of ordinary differentiation and integration to arbitrary non-integer order. The subject is as old as differential calculus and goes back to times when G.W. Leibniz and I. Newton invented differential calculus. Fractional integrals and derivatives arise in many engineering and scientific disciplines as the mathematical modeling of systems and processes in the fields of physics, chemistry, aerodynamics, electrodynamics of a complex medium. Very recently, Mubeen and Habibullah have introduced the k-Riemann-Liouville fractional integral defined by using the -Gamma function, which is a generalization of the classical Gamma function. In this paper, we presents a new fractional integration is called k-Riemann-Liouville fractional integral, which generalizes the k-Riemann-Liouville fractional integral. Then, we prove the commutativity and the semi-group properties of the -Riemann-Liouville fractional integral and we give Chebyshev inequalities for k-Riemann-Liouville fractional integral. Later, using k-Riemann-Liouville fractional integral, we establish some new integral inequalities.
SUCCESSIVE LINEARIZATION SOLUTION OF A BOUNDARY LAYER CONVECTIVE HEAT TRANSFE...ijcsa
The purpose of this paper is to discuss the flow of forced convection over a flat plate. The governing partial
differential equations are transformed into ordinary differential equations using suitable transformations.
The resulting equations were solved using a recent semi-numerical scheme known as the successive
linearization method (SLM). A comparison between the obtained results with homotopy perturbation method and numerical method (NM) has been included to test the accuracy and convergence of the method.
Geometric and viscosity solutions for the Cauchy problem of first orderJuliho Castillo
This document summarizes a doctoral dissertation on geometric and viscosity solutions to first order Cauchy problems. It introduces two types of solutions - viscosity solutions and minimax solutions - which are generally different. The aim is to show that iterating the minimax procedure over shorter time intervals approaches the viscosity solution. This extends previous work relating geometric and viscosity solutions in the symplectic case. The document outlines characteristics methods, generating families, Clarke calculus tools, and a proof constructing generating families to relate iterated minimax solutions to viscosity solutions.
This document discusses the quantum optical master equation, which describes the dynamics of an open quantum system interacting with a thermal reservoir. It begins by introducing closed and open quantum systems. It then derives the master equation for a system interacting with a photon bath using the Born-Markov approximation. The master equation is obtained in Lindblad form with dissipator terms describing emission and absorption. As an example, the master equation is written for a two-level system, and its stationary solutions show the system approaches a thermal equilibrium state over time.
This document presents an overview of the differential transform method (DTM) for solving differential equations. DTM uses Taylor series to obtain approximate or exact solutions. The document defines 1D, 2D, and 3D DTM and lists common operations. Examples are provided of applying DTM to solve systems of linear/non-linear differential equations. The document concludes with references for further applications of DTM in engineering and mathematics.
International journal of engineering and mathematical modelling vol2 no3_2015_2IJEMM
The document presents a mixed finite element approximation for modeling reaction front propagation in porous media. The model couples equations for motion, temperature, and concentration. The semi-discrete problem is formulated using mixed finite element spaces. Existence and uniqueness of the semi-discrete solution is proven. Error estimates show that the temperature, concentration, velocity, and pressure errors converge with order h^σ, where h is the mesh size and σ is the solution regularity. Stability conditions on the time step and parameters are required.
The Laplace transform is used to solve differential equations by transforming them into algebraic equations that are easier to solve. It was developed in the late 18th century building on prior work by Euler and Lagrange. The transform switches a function of time f(t) to a function of a complex variable F(s). It can be applied to ordinary and partial differential equations to reduce their dimension by one. Real-world applications of the Laplace transform include modeling semiconductor mobility, call completion in wireless networks, vehicle vibrations, and electromagnetic field behavior.
Some Engg. Applications of Matrices and Partial DerivativesSanjaySingh011996
This document contains a submission by three students to Dr. Sona Raj Mam regarding partial differentiation, matrices and determinants, and eigenvectors and eigenvalues. It provides examples of how these mathematical concepts are applied in fields like engineering. Partial differentiation is used in economics to analyze demand and in image processing for edge detection. Matrices and determinants allow representing linear transformations in graphics software. Eigenvalues and eigenvectors have applications in areas like computer science, smartphone apps, and modeling structures in civil engineering. The document also provides real-world examples and references textbooks and websites for further information.
1) The document presents a spectral sum rule for conformal field theories relating a weighted integral of the spectral density to one-point functions of the stress tensor operator.
2) It regularizes the retarded Green's function to remove divergent pieces, arriving at a difference of spectral densities that is analytic and well-behaved.
3) The sum rule constrains the parameters of the three-point function of the stress tensor in terms of the one-point function, and is checked against holographic calculations in anti-de Sitter space.
A current perspectives of corrected operator splitting (os) for systemsAlexander Decker
This document discusses operator splitting methods for solving systems of convection-diffusion equations. It begins by introducing operator splitting, where the time evolution is split into separate steps for convection and diffusion. While efficient, operator splitting can produce significant errors near shocks.
The document then examines the nonlinear error mechanism that causes issues for operator splitting near shocks. When a shock develops in the convection step, it introduces a local linearization that neglects self-sharpening effects. This leads to splitting errors.
To address this, the document discusses corrected operator splitting, which uses the wave structure from the convection step to identify where nonlinear splitting errors occur. Terms are added to the diffusion step to compensate for
Low rank tensor approximation of probability density and characteristic funct...Alexander Litvinenko
This document summarizes a presentation on computing divergences and distances between high-dimensional probability density functions (pdfs) represented using tensor formats. It discusses:
1) Motivating the problem using examples from stochastic PDEs and functional representations of uncertainties.
2) Computing Kullback-Leibler divergence and other divergences when pdfs are not directly available.
3) Representing probability characteristic functions and approximating pdfs using tensor decompositions like CP and TT formats.
4) Numerical examples computing Kullback-Leibler divergence and Hellinger distance between Gaussian and alpha-stable distributions using these tensor approximations.
This document summarizes several papers on principal component analysis (PCA) with network/graph constraints. It discusses graph-Laplacian PCA (gLPCA) which adds a graph smoothness regularization term to standard PCA. It also covers robust graph-Laplacian PCA (RgLPCA) which uses an L2,1 norm and iterative algorithms. Further, it summarizes robust PCA on graphs which learns the product of principal directions and components while assuming smoothness on this product. Finally, it discusses manifold regularized matrix factorization (MMF) which imposes orthonormal constraints on principal directions.
Inversion Theorem for Generalized Fractional Hilbert Transforminventionjournals
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
transformada de lapalace universidaqd ppt para find eañoluis506251
The document discusses the Laplace transform and its applications. It defines the Laplace transform and provides examples of transforms for typical functions like constants, step functions, exponentials, derivatives and trigonometric functions. It then discusses using Laplace transforms to solve differential equations by taking the transform of both sides of an equation and using properties to find the inverse transform and solution. The document also covers other Laplace transform properties like the final value theorem, initial value theorem and their applications in dynamic analysis.
Computing f-Divergences and Distances of\\ High-Dimensional Probability Densi...Alexander Litvinenko
Talk presented on SIAM IS 2022 conference.
Very often, in the course of uncertainty quantification tasks or
data analysis, one has to deal with high-dimensional random variables (RVs)
(with values in $\Rd$). Just like any other RV,
a high-dimensional RV can be described by its probability density (\pdf) and/or
by the corresponding probability characteristic functions (\pcf),
or a more general representation as
a function of other, known, random variables.
Here the interest is mainly to compute characterisations like the entropy, the Kullback-Leibler, or more general
$f$-divergences. These are all computed from the \pdf, which is often not available directly,
and it is a computational challenge to even represent it in a numerically
feasible fashion in case the dimension $d$ is even moderately large. It
is an even stronger numerical challenge to then actually compute said characterisations
in the high-dimensional case.
In this regard, in order to achieve a computationally feasible task, we propose
to approximate density by a low-rank tensor.
Redundancy in robot manipulators and multi robot systemsSpringer
This document summarizes how variational methods have been used to analyze three classes of snakelike robots: (1) hyper-redundant manipulators guided by backbone curves, (2) flexible steerable needles, and (3) concentric tube continuum robots. For hyper-redundant manipulators, variational methods are used to constrain degrees of freedom and provide redundancy resolution. For steerable needles, they generate optimal open-loop plans and model needle-tissue interactions. For concentric tube robots, they determine equilibrium conformations dictated by elastic mechanics principles. The document reviews these applications and illustrates how variational methods provide a natural analysis tool for various snakelike robots.
The feedback-control-for-distributed-systemsCemal Ardil
The document summarizes a study on feedback control synthesis for distributed systems. The study proposes a zone control approach, where the state space is partitioned into zones defined by observable points. Control actions are piecewise constant functions that only change when the system transitions between zones. An optimization problem is formulated to determine the optimal constant control value for each zone. Gradient formulas are derived to solve this using numerical optimization methods. The zone control approach was tested on heat exchanger process control problems and showed more robust performance than alternative methods.
1) The document discusses using the residue theorem to evaluate a complex contour integral to calculate the Laplace transform of the output of an ideal sampler. This provides a closed-form solution that is less painful than the infinite series form.
2) An ideal sampler can be modeled as a carrier signal modulated by the input signal. The output of the sampler is then sent to a zero-order hold.
3) By choosing an appropriate contour, the complex contour integral can be evaluated using the residue theorem. This gives the Laplace transform of the sampler output in terms of the residues of the integrand's poles.
On the construction and comparison of an explicit iterativeAlexander Decker
The document presents an explicit iterative algorithm to solve ordinary differential equations with initial conditions. It constructs the algorithm and compares its performance to two non-standard finite difference schemes on two test problems. For both test problems, the proposed algorithm performs better in terms of maximum absolute error and computational effort. It also efficiently follows the oscillatory behavior of nonlinear systems like Lotka-Volterra and mass-spring models compared to the nonstandard schemes. Numerical results obtained with the proposed algorithm are found to be computationally reliable and practical compared to the two other methods discussed.
An Approach For Solving Nonlinear Programming ProblemsMary Montoya
This document presents an approach for solving nonlinear programming problems using measure theory. It begins by transforming a nonlinear programming problem into an optimal control problem by treating the variables as time-varying and integrating the objective and constraint functions. It then solves the optimal control problem using measure theory by representing the control-trajectory pair as a positive Radon measure on the space of trajectories and controls. Finally, it shows that the optimal solution to the transformed optimal control problem provides an approximate optimal solution to the original nonlinear programming problem.
On the k-Riemann-Liouville fractional integral and applications Premier Publishers
Fractional calculus is a generalization of ordinary differentiation and integration to arbitrary non-integer order. The subject is as old as differential calculus and goes back to times when G.W. Leibniz and I. Newton invented differential calculus. Fractional integrals and derivatives arise in many engineering and scientific disciplines as the mathematical modeling of systems and processes in the fields of physics, chemistry, aerodynamics, electrodynamics of a complex medium. Very recently, Mubeen and Habibullah have introduced the k-Riemann-Liouville fractional integral defined by using the -Gamma function, which is a generalization of the classical Gamma function. In this paper, we presents a new fractional integration is called k-Riemann-Liouville fractional integral, which generalizes the k-Riemann-Liouville fractional integral. Then, we prove the commutativity and the semi-group properties of the -Riemann-Liouville fractional integral and we give Chebyshev inequalities for k-Riemann-Liouville fractional integral. Later, using k-Riemann-Liouville fractional integral, we establish some new integral inequalities.
SUCCESSIVE LINEARIZATION SOLUTION OF A BOUNDARY LAYER CONVECTIVE HEAT TRANSFE...ijcsa
The purpose of this paper is to discuss the flow of forced convection over a flat plate. The governing partial
differential equations are transformed into ordinary differential equations using suitable transformations.
The resulting equations were solved using a recent semi-numerical scheme known as the successive
linearization method (SLM). A comparison between the obtained results with homotopy perturbation method and numerical method (NM) has been included to test the accuracy and convergence of the method.
Geometric and viscosity solutions for the Cauchy problem of first orderJuliho Castillo
This document summarizes a doctoral dissertation on geometric and viscosity solutions to first order Cauchy problems. It introduces two types of solutions - viscosity solutions and minimax solutions - which are generally different. The aim is to show that iterating the minimax procedure over shorter time intervals approaches the viscosity solution. This extends previous work relating geometric and viscosity solutions in the symplectic case. The document outlines characteristics methods, generating families, Clarke calculus tools, and a proof constructing generating families to relate iterated minimax solutions to viscosity solutions.
This document discusses the quantum optical master equation, which describes the dynamics of an open quantum system interacting with a thermal reservoir. It begins by introducing closed and open quantum systems. It then derives the master equation for a system interacting with a photon bath using the Born-Markov approximation. The master equation is obtained in Lindblad form with dissipator terms describing emission and absorption. As an example, the master equation is written for a two-level system, and its stationary solutions show the system approaches a thermal equilibrium state over time.
This document presents an overview of the differential transform method (DTM) for solving differential equations. DTM uses Taylor series to obtain approximate or exact solutions. The document defines 1D, 2D, and 3D DTM and lists common operations. Examples are provided of applying DTM to solve systems of linear/non-linear differential equations. The document concludes with references for further applications of DTM in engineering and mathematics.
International journal of engineering and mathematical modelling vol2 no3_2015_2IJEMM
The document presents a mixed finite element approximation for modeling reaction front propagation in porous media. The model couples equations for motion, temperature, and concentration. The semi-discrete problem is formulated using mixed finite element spaces. Existence and uniqueness of the semi-discrete solution is proven. Error estimates show that the temperature, concentration, velocity, and pressure errors converge with order h^σ, where h is the mesh size and σ is the solution regularity. Stability conditions on the time step and parameters are required.
The Laplace transform is used to solve differential equations by transforming them into algebraic equations that are easier to solve. It was developed in the late 18th century building on prior work by Euler and Lagrange. The transform switches a function of time f(t) to a function of a complex variable F(s). It can be applied to ordinary and partial differential equations to reduce their dimension by one. Real-world applications of the Laplace transform include modeling semiconductor mobility, call completion in wireless networks, vehicle vibrations, and electromagnetic field behavior.
Some Engg. Applications of Matrices and Partial DerivativesSanjaySingh011996
This document contains a submission by three students to Dr. Sona Raj Mam regarding partial differentiation, matrices and determinants, and eigenvectors and eigenvalues. It provides examples of how these mathematical concepts are applied in fields like engineering. Partial differentiation is used in economics to analyze demand and in image processing for edge detection. Matrices and determinants allow representing linear transformations in graphics software. Eigenvalues and eigenvectors have applications in areas like computer science, smartphone apps, and modeling structures in civil engineering. The document also provides real-world examples and references textbooks and websites for further information.
1) The document presents a spectral sum rule for conformal field theories relating a weighted integral of the spectral density to one-point functions of the stress tensor operator.
2) It regularizes the retarded Green's function to remove divergent pieces, arriving at a difference of spectral densities that is analytic and well-behaved.
3) The sum rule constrains the parameters of the three-point function of the stress tensor in terms of the one-point function, and is checked against holographic calculations in anti-de Sitter space.
A current perspectives of corrected operator splitting (os) for systemsAlexander Decker
This document discusses operator splitting methods for solving systems of convection-diffusion equations. It begins by introducing operator splitting, where the time evolution is split into separate steps for convection and diffusion. While efficient, operator splitting can produce significant errors near shocks.
The document then examines the nonlinear error mechanism that causes issues for operator splitting near shocks. When a shock develops in the convection step, it introduces a local linearization that neglects self-sharpening effects. This leads to splitting errors.
To address this, the document discusses corrected operator splitting, which uses the wave structure from the convection step to identify where nonlinear splitting errors occur. Terms are added to the diffusion step to compensate for
Low rank tensor approximation of probability density and characteristic funct...Alexander Litvinenko
This document summarizes a presentation on computing divergences and distances between high-dimensional probability density functions (pdfs) represented using tensor formats. It discusses:
1) Motivating the problem using examples from stochastic PDEs and functional representations of uncertainties.
2) Computing Kullback-Leibler divergence and other divergences when pdfs are not directly available.
3) Representing probability characteristic functions and approximating pdfs using tensor decompositions like CP and TT formats.
4) Numerical examples computing Kullback-Leibler divergence and Hellinger distance between Gaussian and alpha-stable distributions using these tensor approximations.
This document summarizes several papers on principal component analysis (PCA) with network/graph constraints. It discusses graph-Laplacian PCA (gLPCA) which adds a graph smoothness regularization term to standard PCA. It also covers robust graph-Laplacian PCA (RgLPCA) which uses an L2,1 norm and iterative algorithms. Further, it summarizes robust PCA on graphs which learns the product of principal directions and components while assuming smoothness on this product. Finally, it discusses manifold regularized matrix factorization (MMF) which imposes orthonormal constraints on principal directions.
Inversion Theorem for Generalized Fractional Hilbert Transforminventionjournals
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
transformada de lapalace universidaqd ppt para find eañoluis506251
The document discusses the Laplace transform and its applications. It defines the Laplace transform and provides examples of transforms for typical functions like constants, step functions, exponentials, derivatives and trigonometric functions. It then discusses using Laplace transforms to solve differential equations by taking the transform of both sides of an equation and using properties to find the inverse transform and solution. The document also covers other Laplace transform properties like the final value theorem, initial value theorem and their applications in dynamic analysis.
ALPHA LOGARITHM TRANSFORMED SEMI LOGISTIC DISTRIBUTION USING MAXIMUM LIKELIH...BRNSS Publication Hub
The document discusses the alpha logarithm transformed semi-logistic distribution and its maximum likelihood estimation method. It introduces the distribution, provides its probability density function and cumulative distribution function. It then describes generating random numbers from the distribution and outlines the maximum likelihood estimation method to estimate the distribution's unknown parameters. This involves deriving the likelihood function and taking its partial derivatives to obtain equations that are set to zero and solved to find maximum likelihood estimates of the location, scale, and shape parameters.
AN ASSESSMENT ON THE SPLIT AND NON-SPLIT DOMINATION NUMBER OF TENEMENT GRAPHSBRNSS Publication Hub
This document summarizes research on the split and non-split domination numbers of tenement graphs. It defines tenement graphs and provides basic definitions of domination, split domination, and non-split domination. Formulas for the split and non-split domination numbers of tenement graphs are presented based on the number of vertices. Theorems are presented stating that the mid vertex set of a tenement graph is always a split dominating set, but its size is not always equal to the split domination number.
This document summarizes research on generalized Cantor sets and functions where the standard construction is modified. It introduces Cantor sets defined by an arbitrary base where the intervals removed at each stage are not all the same length. It also defines irregular or transcendental Cantor sets generated by transcendental numbers like e. The key findings are:
1) There exists a unique probability measure for generalized Cantor sets that generates the cumulative distribution function.
2) The Holder exponent of generalized Cantor sets is shown to be logn/s where n is the base and s is the number of subintervals.
3) Lower and upper densities are defined for the measure on generalized Cantor functions and their properties are
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1. www.ajms.com 27
ISSN 2581-3463
RESEARCH ARTICLE
Approximate Solution of Time-fractional Beam Equation by Reduced Differential
Transform Method
Beza Zeleke
Department of Mathematics, Mettu University, Mettu, Oromia, Ethiopia
Received: 30-11-2020; Revised: 16-12-2020; Accepted: 10-01-2021
ABSTRACT
In this paper, the reduced differential transform method (RDTM) will be applied to time-fractional order
beam and beam-like equations. The RDTM produces an analytical approximate solution for the equation.
An approximate analytical solution of the equation is calculated in the form of a series with few and easy
computations. Three test problems are carried out to validate and illustrate the efficiency of the method.
It is observed that the proposed technique is highly suitable for such problems.
Key words: Approximate analytical solutions, reduced differential transform method, time-fractional
order beam equation
Address for correspondence:
Beza Zeleke
E-mail: bezeleke48@gmail.com
INTRODUCTION
Partial differential equations have numerous
applications in various fields of science and
engineering (Debtnath, 1997). Fractional calculus
theory is a mathematical analysis tool to study the
differentiation and integration to non-integer order
(Oldham and Spanier, 1974). It is used in various
fields of science and engineering. The fractional
differential equations appear more and more
frequentlyindifferentresearchareasandengineering
applications(Podlubny,1999;MillerandRoss,1993).
It is not always possible to find analytical solutions
to these problems. In the literature, various analytical
and numeric approaches have been developed for
the solution partial differential equations. Since
most fractional differential equations do not have
exact analytic solutions, approximate and numerical
techniques are used extensively.
The DTM is one of the numerical methods in solving
differential equations. The concept of the DTM was
first introduced by Zhou, 1986, and applied to solve
initial value problems for electric circuit analysis.
The method is based on Taylor’s series expansion
and can be applied to solve both linear and non-linear
differentialequations.RDTMwasfirstintroducedby
Keskin et al., 2009; 2010a; 2010b; 2010c and 2011.
This method based on the use of the traditional DTM
techniques. Since RDTM has been used by many
authors to obtain approximate analytical solution
and in some cases exact solutions to differential
equations so the investigation of exact solutions of
non-linear partial differential equations (NPDEs)
plays an important role in the study of non-linear
physical phenomena. The investigation of exact
solutions of non-linear partial differential equations
(NPDEs) plays an important role in the study of non-
linear physical phenomena. Many methods, exact,
approximate, and purely numerical are available in
literature (Sohail et al.; 2012a; 2012b; Cenesiz et al.,
2010) for the solution of NPDEs. In this paper, we
applied the RDTM, which is the modified version of
DTM, to obtain the approximate analytical solution
fortime-fractionalorderbeamandbeam-likeequation
with appropriate initial condition. The RDTM does
not require any discretization or linearization and it
reduces significantly the computational work.[1-10]
Finally,therestofthepaperisorganizedasfollows:In
Section 2, we will introduce some basic definitions,
theorems, and preliminary concepts of fractional
calculus. The details of the RDTM formulation
for time-fractional beam equation are discussed in
Section 3. In Section 3.2, we apply the RDTM to
solve three test examples with their solutions to show
its ability and efficiency. To the end, conclusion and
discussion are given in Section 4.
2. Zeleke: Approximate Solution of Time-fractional Beam Equation.
AJMS/Jan-Mar-2021/Vol 5/Issue 1 28
FRACTIONAL CALCULUS THEORY
There are several definitions of a fractional
derivative of order α0, in the literature due to
Riemann-Liouville, Grunwald-Letnikov, Caputo,
etc., (Hilfer, 2000, Miller et al., 1993; Oldham,
1974; Podlubny, 1999). Here, we mention the
essential definition of the fractional order integral
and derivative in Riemann-Liouville and Caputo
sense, respectively, which are used in this work.
Definition 2.1
Let λ∈R and n∈N. A real-valued function f:R+
⟶R
belongs to Cλ
if there exists k∈R, kλ and
g∈C[0,∞) such that f(x)=xk
g(x), for all x∈R+
.
Moreover, f n
if f(n)
∈Cλ
.
Definition 2.2
The Riemann-Liouville fractional integral of f∈Cλ
of order α≥0 is defined as
( )
( )
( )
1
0
0
1
( ) , 0
( )
t
t
f t if
f t
t f d if
α
α
α
τ τ τ α
α
−
=
=
−
Γ
∫
Where, Γ denotes gamma function.
Definition 2.3
The fractional derivative of f∈Cλ
of the order α≥0,
in Caputo sense, is defined as
( ) ( )
( )
1 ( )
0
1
( )
( )
n
t t t
t
n n
D f t D f t
n
t f d
α α α
α
α
τ τ τ
−
− −
= =
Γ −
−
∫
For 1 , , 0, , 1.
n
n n n t f λ
α λ
− ≤ ∈ ∈ ≥ −
Some properties of the operator 0
α
can be found
(He, 2000). For f∈Cλ
, λ≥−1, α, γ≥0, β≥−1:
0
0
f x f x
0
1
1
t t
( )
( )
0 0 0
f x f x
One can see below cited references for further
information on properties of fractional derivative
and integral.
Lemma 2.1
Let n−1α≤n, n∈N, and , 1
n
f λ λ
∈ ≥ −
, then
D f t f t
t t
t t
k
n
k
k
D f t f t f
t
k
0
0
( )
!
for t0.
ANALYSIS OF RDTM
In this section, some basic definitions and
properties for RDTM are introduced as follows:
Definition 2.1
If u(x,t) is analytic and continuously differentiable
with respect to the space variable x and time
variable t in the domain of interest, then the
t-dimensional spectrum function
U x
k t
u x t
k
k
k
t t
1
1
0
( )
( , )
(2.1)
is the reduced transformed function of u(x,t),
where α is a parameter which describes the order
of time-fractional derivative. The inverse reduced
differential transform of Uk
(x) is given by
u x t U x t t
k
k
k
, ( )
0
0
(2.2)
Then, combining Eqns. (2.1) and (2.2), we get:
u x t
k t
u x t t t
k
k
k
t t
k
,
( )
( , ) ( )
1
1
0 0
0
(2.3)
When t0
=0 Eqn. (2.3) reduces to
u x t
k t
u x t t
k
k
k
t
k
,
( )
( , )
0 0
1
1
Throughout the paper, we denote the original
function by u(x,t).(lowercase) while it’s
fractional reduced differential transform by
3. Zeleke: Approximate Solution of Time-fractional Beam Equation.
AJMS/Jan-Mar-2021/Vol 5/Issue 1 29
Uk
(x) (uppercase).. From definitions, some basic
properties of the Fractional reduced differential
transform method are as follows:
Implementation of RDTM on time fractional
beam equation
To explain how the RDTM works, we consider
the general form of time-fractional order
nonhomogeneous beam equation in the standard
operator form
Lu(x,t)+Ru(x,t)=f(x,t)
subject to the initial conditions
u(x,0)=g(x)
Here ( , ) : ( , )
t
Lu x t D u x t
α
= is the fractional time
derivative operator,
4
4
( , ) : ( , )
Ru x t u x t
x
∂
=
∂
is the
linear operator and f(x,t) is the nonhomogeneous
source term. According to the RDTM and Table 1,
wecanconstructingthefollowingiterationformulas
( ) ( )
1
(k 1)
, ( )
( 1)
k k k
U x t F x RU x
kα α
+
Γ α +
−
Γ + +
(3.1)
Where R(Uk
(x)) and Fk
(x) are transformation of
the functions Ru(x,t) and f(x,t), respectively, and
from the initial condition, we write
U0
(x)=g(x)(3.2)
Substituting Eqn. (3.2) into Eqn. (3.1), we get the
values of Uk
(x) for all k=0,1,2,3,…. Then using the
differential inverse reduced transform of Uk
(x),
gives n term approximate solutions as
u x t U x t
k
n
k
k
*
,
0
where n is the order of approximate solution.
Therefore, the analytical approximate solutions
are given by
u x t u x t
n
n
, lim ,
*
Numerical applications
In this section, we used RDTM to construct
analytic approximate solutions for time-fractional
beam equations. For the accuracy and efficiency
of the method, some illustrative examples are
presented.
Example 1
Consider the time-fractional homogeneous beam
equation,
D u u
t xxxx
0(3.3)
Subject to initial condition
u(x,0)=sinx
Now applying the RDTM to Eqn. (3.3) and
using Table 1, we obtain the following recursive
relation,
( )
4
1 4
(k 1)
( )
( 1)
k k
U x U x
k x
α α
+
Γ α + ∂
=
Γ + + ∂
(3.4)
And from the initial condition, we obtain
U0
(x)=sinx
(3.5)
Substituting Eqn. (3.5) into (3.4) and by
straightforward iterative calculation, we get the
following Uk
(x) values successively
Table 1: Some of the fundamental operations of the
RDTM
Functional
form
Transformed form
u (x, t) U x
k t
u x t
k
k
k
t t
1
1
0
( )
( , )
u (x, t)±v (x, t) Uk
(x)±Vk
(x)
αu (x, t) αUk
(x)
xm
tn
x k n k
k
k
m
(
,
,
1 0
0 0
xm
tn
u (x, t) xm
Uk‑n
(x)
u (x, t) v (x, t)
r
k
r k r
U x V x
0
( ) ( )
∂
∂
n
n
t
u x t
( , ) (k+1)…(k+n) Uk+1
(x)
∂
∂x
u x t
( , )
∂
∂x
U x
k ( )
∂
∂
2
2
x
u x t
( , )
∂
∂
2
2
x
U x
k ( )
4. Zeleke: Approximate Solution of Time-fractional Beam Equation.
AJMS/Jan-Mar-2021/Vol 5/Issue 1 30
( )
1
1
sin( )
( 1)
U x x
α
=
Γ +
( )
2
1
sin( )
(2 1)
U x x
α
=
Γ +
( )
3
1
sin( )
(3 1)
U x x
α
=
Γ +
( )
( )
( )
4
1
sin
4 1
U x x
α
=
Γ +
� � �
Continuing with this procedure,
U x
k
x
k
1
1
sin
Then, using the differential inverse transformation
(4.2), we have:
( ) ( )
( )
( )
( )
( ) 2
1
, sin sin
1
1
sin
2 1
u x t x x t
x t
α
α
α
α
= +
Γ +
+ +…
Γ +
which is desired solution.
Example 2
Consider the time fractional non-homogeneous
beam equation,
D u u x
t xxxx
3 2
(3.6)
with initial condition
u(x,0)=ex
Now, applying the RDTM to Eqn. (3.6)
and using Table 1, we obtain the following
recursive relation,
U x
k x
U x x
k k
1
4
4
2
1
1
3
( )
( )
k±
(3.8)
And from the initial condition, we obtain
U0
(x)=ex
(3.9)
Substituting Eqn. (3.9) into (3.8), we get the
following Uk
(x) values successively
U x e x
x
1
2
1
1
3
U x e x
x
2
2
1
2 1
3
( )
U x e x
x
3
2
1
3 1
3
( )
U x e x
x
4
2
1
4 1
3
� � �
Continuing with this procedure,
U x
k
e x
k
x
1
1
3 2
Then, using the differential inverse transformation
(4.2), we have:
u x t e e x t
e x t
x x
x
,
1
1
3
1
2 1
3
2
2 2
which is desired result.
Example 3
Consider the time fractional non-homogeneous
beam-like equation,
D u u u
t x xxxx
0(3.10)
Subjected to initial condition
u(x,0)=ex
Now, applying the RDTM to Eqn. (3.10)
and using Table 1, we obtain the following
recursive relation,
5. Zeleke: Approximate Solution of Time-fractional Beam Equation.
AJMS/Jan-Mar-2021/Vol 5/Issue 1 31
U x
k x
U x
x
U x
k k k
1
4
4
1
1
( )
( )
( )
k±
(3.11)
And the transformed of initial condition is
U0
(x)=ex
(3.12)
Substituting Eqn. (3.12) into (3.11), we get the
following Uk
(x) values successively
U x ex
1
1
1
2
U x ex
2
1
2 1
4
U x ex
3
1
3 1
8
U x ex
4
1
4 1
16
� � �
Continuing with this procedure,
U x
k
e
k
k x
1
1
2 1
Then, using the differential inverse transformation
(4.2), we have:
u x t e e t
e t
x x
x
,
1
1
2
1
2 1
4 2
which is an approximation solution.[11-15]
CONCLUSION
This paper is successfully implemented the
RDTM to solve the initial value problem of time-
fractional beam and beam-like equations. The
fractional derivative is taken into Caputo sense.
The proposed solutions are obtained in the form of
power series.The validity and efficiency of RDTM
have been confirmed by three test problems. The
method is applied in a direct way without any
linearization or discretization. Hence, this method
is a powerful and an efficient technique in finding
the exact solutions for wide classes of problems,
also the speed of the convergence is very fast.
CONFLICTS OF INTEREST
The authors confirm that there are no conflicts of
interest to declare for this publication.
ACKNOWLEDGMENTS
This research did not receive any specific grant
from funding agencies in the public, commercial,
or not-for-profit sectors. The authors would like
to thank the editor and anonymous reviewers for
their comments that help improve the quality of
this work.
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