The purpose of this paper is to demonstrate the power of two mostly used definitions for fractional differentiation, namely, the Riemann-Liouville and Caputo fractional operator to solve some linear fractional-order differential equations. The emphasis is given to the most popular Caputo fractional operator which is more suitable for the study of differential equations of fractional order..Illustrative examples are included to demonstrate the procedure of solution of couple of fractional differential equations having Caputo operator using Laplace transformation. Itshows that the Laplace transforms is a powerful and efficient technique for obtaining analytic solution of linear fractional differential equations
This document discusses fractional calculus and its history. Fractional calculus generalizes differentiation and integration to non-integer orders, starting in the 17th century with ideas from Leibniz. It provides definitions for fractional integration using the Riemann-Liouville approach and fractional differentiation as the inverse of fractional integration. The document serves as an introduction to fractional kinetics and optimal control problems.
This document provides an overview of complex analysis, including:
1) Limits and their uniqueness in complex analysis, such as the limit of a function f(z) as z approaches z0.
2) The definition of a continuous function in complex analysis as one where the limit exists at each point in the domain and equals the function value.
3) Analytic functions, which are differentiable in some neighborhood of each point in their domain.
The document discusses fractional calculus and fractional partial differential equations (FPDEs). It provides background on fractional calculus, including its origins in the late 17th century. It then discusses applications of FPDEs in fields like image processing and finance. The objective is to numerically solve two-sided FPDEs using finite difference methods. It introduces the Riemann-Liouville definition of fractional derivatives and the Grünwald definition for approximating fractional derivatives. It then discusses approximating one-sided and two-sided FPDEs using finite differences and analyzes the stability of the resulting schemes.
The document presents information about Laplace transforms including:
- The definition and properties of the Laplace transform. It transforms differential equations into algebraic equations.
- Examples of applications in solving ordinary and partial differential equations, electrical circuits, and other fields.
- Limitations in that it can only be used to solve differential equations with known constants.
- Conclusion that the Laplace transform is a powerful mathematical tool used across many areas of science and engineering.
Fractional calculus is a generalization of differentiation and integration to non-integer orders. Some key points:
1) Fractional differentiation allows for differentiation of arbitrary non-integer order, not just integers like 1, 2, 3.
2) The concept was first explored in the 17th century but several mathematicians contributed definitions and approaches over subsequent centuries.
3) Fractional integration involves taking the nth integral of a function where n is any real number, not just integers. This can be done using the Riemann-Liouville definition or the Laplace transform.
Signal Processing Introduction using Fourier TransformsArvind Devaraj
1) The document introduces signal processing by discussing signals, systems, and transforms. It defines signals as functions of time or space and systems as maps that manipulate signals. Transforms represent signals in different domains like frequency to simplify operations.
2) Signals can be represented in the frequency domain using Fourier transforms. This makes operations like filtering easier. Low frequencies represent overall shape while high frequencies are details like noise or edges.
3) Linear and time-invariant systems can be characterized by their impulse response. The output is the convolution of the input and impulse response. Convolution is a mechanism that shapes signals to produce outputs.
This document discusses fractional calculus and its applications. It begins with an introduction to fractional calculus, which involves defining derivatives and integrals of arbitrary real or complex order. Naive approaches to defining fractional derivatives are inconsistent. The document then motivates a rigorous definition by generalizing the formula for differentiation to non-integer orders. This generalized formula reduces to the standard formula when the order is a positive integer.
The document discusses the Laplace transform and its applications. Specifically:
- The Laplace transform was developed by mathematicians including Euler, Lagrange, and Laplace to solve differential equations.
- It transforms a function of time to a function of complex frequencies, allowing differential equations to be written as algebraic equations.
- For a function to have a Laplace transform, it must be at least piecewise continuous and bounded above by an exponential function.
- The Laplace transform can reduce the dimension of partial differential equations and is used in applications including semiconductor mobility, wireless networks, vehicle vibrations, and electromagnetic fields.
This document discusses fractional calculus and its history. Fractional calculus generalizes differentiation and integration to non-integer orders, starting in the 17th century with ideas from Leibniz. It provides definitions for fractional integration using the Riemann-Liouville approach and fractional differentiation as the inverse of fractional integration. The document serves as an introduction to fractional kinetics and optimal control problems.
This document provides an overview of complex analysis, including:
1) Limits and their uniqueness in complex analysis, such as the limit of a function f(z) as z approaches z0.
2) The definition of a continuous function in complex analysis as one where the limit exists at each point in the domain and equals the function value.
3) Analytic functions, which are differentiable in some neighborhood of each point in their domain.
The document discusses fractional calculus and fractional partial differential equations (FPDEs). It provides background on fractional calculus, including its origins in the late 17th century. It then discusses applications of FPDEs in fields like image processing and finance. The objective is to numerically solve two-sided FPDEs using finite difference methods. It introduces the Riemann-Liouville definition of fractional derivatives and the Grünwald definition for approximating fractional derivatives. It then discusses approximating one-sided and two-sided FPDEs using finite differences and analyzes the stability of the resulting schemes.
The document presents information about Laplace transforms including:
- The definition and properties of the Laplace transform. It transforms differential equations into algebraic equations.
- Examples of applications in solving ordinary and partial differential equations, electrical circuits, and other fields.
- Limitations in that it can only be used to solve differential equations with known constants.
- Conclusion that the Laplace transform is a powerful mathematical tool used across many areas of science and engineering.
Fractional calculus is a generalization of differentiation and integration to non-integer orders. Some key points:
1) Fractional differentiation allows for differentiation of arbitrary non-integer order, not just integers like 1, 2, 3.
2) The concept was first explored in the 17th century but several mathematicians contributed definitions and approaches over subsequent centuries.
3) Fractional integration involves taking the nth integral of a function where n is any real number, not just integers. This can be done using the Riemann-Liouville definition or the Laplace transform.
Signal Processing Introduction using Fourier TransformsArvind Devaraj
1) The document introduces signal processing by discussing signals, systems, and transforms. It defines signals as functions of time or space and systems as maps that manipulate signals. Transforms represent signals in different domains like frequency to simplify operations.
2) Signals can be represented in the frequency domain using Fourier transforms. This makes operations like filtering easier. Low frequencies represent overall shape while high frequencies are details like noise or edges.
3) Linear and time-invariant systems can be characterized by their impulse response. The output is the convolution of the input and impulse response. Convolution is a mechanism that shapes signals to produce outputs.
This document discusses fractional calculus and its applications. It begins with an introduction to fractional calculus, which involves defining derivatives and integrals of arbitrary real or complex order. Naive approaches to defining fractional derivatives are inconsistent. The document then motivates a rigorous definition by generalizing the formula for differentiation to non-integer orders. This generalized formula reduces to the standard formula when the order is a positive integer.
The document discusses the Laplace transform and its applications. Specifically:
- The Laplace transform was developed by mathematicians including Euler, Lagrange, and Laplace to solve differential equations.
- It transforms a function of time to a function of complex frequencies, allowing differential equations to be written as algebraic equations.
- For a function to have a Laplace transform, it must be at least piecewise continuous and bounded above by an exponential function.
- The Laplace transform can reduce the dimension of partial differential equations and is used in applications including semiconductor mobility, wireless networks, vehicle vibrations, and electromagnetic fields.
The document discusses the Laplace transform, which takes a function of time and transforms it into a function of complex frequency. This transformation converts differential equations into algebraic equations, simplifying solving problems involving systems. The Laplace transform has many applications in fields like engineering, physics, and astronomy by allowing analysis of linear time-invariant systems through properties like derivatives becoming multiplications in the frequency domain.
This document provides an introduction to Laplace transforms. It defines the Laplace transform, lists some of its key properties including how it transforms derivatives and functions, and demonstrates how to use Laplace transforms to solve ordinary differential equations (ODEs). The document contains examples of taking Laplace transforms, applying properties like linearity and shifting, performing inverse Laplace transforms using tables and techniques like partial fractions, and solving a sample ODE using Laplace transforms. It also introduces concepts like the step function, Dirac delta function, and convolution as related topics.
Stability analysis of impulsive fractional differential systems with delayMostafa Shokrian Zeini
1) Impulsive differential equations are used to model systems with abrupt changes like shocks or disasters and involve short-term perturbations interrupting otherwise smooth dynamics.
2) Stability of delayed impulsive fractional differential systems is analyzed using Gronwall inequalities, which provide bounds on solutions to integral inequalities.
3) Three main approaches are presented to analyze the stability of non-autonomous delayed impulsive fractional differential systems using Gronwall inequalities and the Mittag-Leffler function.
This document provides an introduction to fundamental concepts in graph theory. It defines what a graph is composed of and different graph types including simple graphs, directed graphs, bipartite graphs, and complete graphs. It discusses graph terminology such as vertices, edges, paths, cycles, components, and subgraphs. It also covers graph properties like connectivity, degrees, isomorphism, and graph coloring. Examples are provided to illustrate key graph concepts and theorems are stated about properties of graphs like the Petersen graph and graph components.
The document defines and discusses several key concepts relating to groups in abstract algebra:
- A group is defined as a non-empty set together with a binary operation that satisfies closure, associativity, identity, and inverse properties.
- An abelian (or commutative) group is one where the binary operation is commutative. Examples of abelian groups include integers under addition.
- The quaternion group is a non-abelian group of order 8 under multiplication.
- Theorems are presented regarding the uniqueness of identity and inverses in a group, as well as cancellation, reverse order, and inverse properties of groups.
Analytic Function, C-R equation, Harmonic function, laplace equation, Construction of analytic function, Critical point, Invariant point , Bilinear Transformation
1. The document discusses the concept of the derivative and differentiation using the first principle. It explains how to calculate the slope of a tangent line to a curve at a point using limits, which gives the derivative of the function at that point.
2. Rules for differentiating common functions like polynomials, exponentials, and logarithms are covered. Higher-order derivatives and applications of derivatives to business and economics are also mentioned.
3. The goals of the class are to explain the concept of the derivative, differentiate functions using the first principle (limits), and understand various differentiation rules.
- The document discusses the concept of derivatives in calculus, including definitions, notations, and methods for computing derivatives of functions.
- It provides examples of computing derivatives of various functions like polynomials, square roots, and rational functions.
- A function is said to be differentiable if its derivative exists, and the document explores conditions where a function may not be differentiable, such as having a sharp corner or vertical tangent.
This document discusses applying the Laplace transform to modeling the vocal tract. It begins with an abstract discussing the Laplace transform and its properties. It then discusses a generalized acoustic tube model of the vocal tract that includes the oral cavity, nasal cavity, and main vocal tract. The model considers a branch section where the three branches meet. The document discusses obtaining the transfer function from this generalized model and using it to formulate a pole-zero type linear prediction algorithm. It will evaluate the prediction coefficients and reflection coefficients by analyzing voiced and nasal sounds.
This document is a project report submitted by S. Manikanta in partial fulfillment of the requirements for a Master of Science degree in Mathematics. The report discusses applications of graph theory. It provides an overview of graph theory concepts such as definitions of graphs, terminology used in graph theory, different types of graphs, trees and forests, graph isomorphism and operations, walks and paths in graphs, representations of graphs using matrices, applications of graphs in areas like computer science, fingerprint recognition, security, and more. The document also includes examples and illustrations to explain various graph theory concepts.
1. The document discusses groups, subgroups, cosets, normal subgroups, quotient groups, and homomorphisms.
2. It defines cosets, proves Lagrange's theorem that the order of a subgroup divides the order of the group, and provides examples of finding cosets.
3. Normal subgroups are introduced, and it is shown that the set of cosets of a normal subgroup forms a group under a defined operation, known as the quotient group. Homomorphisms between groups are defined, and examples are given.
Derivatives and it’s simple applicationsRutuja Gholap
The document provides an introduction to derivatives and their applications. It defines the derivative as the rate of change of a function near an input value and discusses how it relates geometrically to the slope of the tangent line. It then gives examples of finding the derivatives of common functions like constants, polynomials, and exponentials. The document also covers basic derivative rules like the constant multiple rule, sum and difference rules, product rule, and quotient rule. Finally, it discusses applications of derivatives in topics like physics, such as calculating velocity and acceleration from a position function.
Graph theory is widely used in science and everyday life. It can model real world problems and systems using vertices to represent objects and edges to represent connections between objects. The document discusses several applications of graph theory in chemistry, physics, biology, computer science, operations research, Google Maps, and the internet. For example, in chemistry graph theory is used to model molecules with atoms as vertices and bonds as edges. In computer science, graph theory concepts are used to develop algorithms for problems like finding shortest paths in a network.
This document provides an overview of graph theory concepts including:
- The basics of graphs including definitions of vertices, edges, paths, cycles, and graph representations like adjacency matrices.
- Minimum spanning tree algorithms like Kruskal's and Prim's which find a spanning tree with minimum total edge weight.
- Graph coloring problems and their applications to scheduling problems.
- Other graph concepts covered include degree, Eulerian paths, planar graphs and graph isomorphism.
1. The homomorphism h maps R3 to itself. Its range is all of R3, so its rank is 3. Its nullspace is {0}, so its nullity is 0.
2. For the map f from R2 to R, the inverse image of 3 is the empty set, the inverse image of 0 is the y-axis, and the inverse image of 1 is the line y = x.
3. For any linear map h, the image of the span of a set S is equal to the span of the images of the elements of S.
This document provides an overview of Chapter 3 from a Calculus I course on derivatives. It introduces the concept of the derivative and how it relates to tangent lines and rates of change. The chapter outline describes sections on the derivative of functions, rules of derivatives, derivatives of trigonometric functions, the chain rule, and implicit differentiation. Examples are provided for taking derivatives of various functions, including constant functions, power functions, sums and differences, and products. Higher derivatives are also introduced.
Beta and gamma are the two most popular functions in mathematics. Gamma is a single variable function, whereas Beta is a two-variable function. The relation between beta and gamma function will help to solve many problems in physics and mathematics.
- The Laplace transform is a linear operator that transforms a function of time (f(t)) into a function of complex frequency (F(s)). It was developed from the work of mathematicians like Euler, Lagrange, and Laplace.
- The Laplace transform has many applications in fields like semiconductor mobility, wireless network call completion, vehicle vibration analysis, and modeling electric and magnetic fields. It allows transforming differential equations into algebraic equations that are easier to solve.
- For example, in semiconductors with varying material layers, the Laplace transform can relate the conductivity tensor to the Laplace transforms of electron and hole densities, enabling the determination of key properties like carrier concentration and mobility in each layer.
The document discusses the Laplace transform, which takes a function of time and transforms it into a function of complex frequency. This transformation converts differential equations into algebraic equations, simplifying solving problems involving systems. The Laplace transform has many applications in fields like engineering, physics, and astronomy by allowing analysis of linear time-invariant systems through properties like derivatives becoming multiplications in the frequency domain.
This document provides an introduction to Laplace transforms. It defines the Laplace transform, lists some of its key properties including how it transforms derivatives and functions, and demonstrates how to use Laplace transforms to solve ordinary differential equations (ODEs). The document contains examples of taking Laplace transforms, applying properties like linearity and shifting, performing inverse Laplace transforms using tables and techniques like partial fractions, and solving a sample ODE using Laplace transforms. It also introduces concepts like the step function, Dirac delta function, and convolution as related topics.
Stability analysis of impulsive fractional differential systems with delayMostafa Shokrian Zeini
1) Impulsive differential equations are used to model systems with abrupt changes like shocks or disasters and involve short-term perturbations interrupting otherwise smooth dynamics.
2) Stability of delayed impulsive fractional differential systems is analyzed using Gronwall inequalities, which provide bounds on solutions to integral inequalities.
3) Three main approaches are presented to analyze the stability of non-autonomous delayed impulsive fractional differential systems using Gronwall inequalities and the Mittag-Leffler function.
This document provides an introduction to fundamental concepts in graph theory. It defines what a graph is composed of and different graph types including simple graphs, directed graphs, bipartite graphs, and complete graphs. It discusses graph terminology such as vertices, edges, paths, cycles, components, and subgraphs. It also covers graph properties like connectivity, degrees, isomorphism, and graph coloring. Examples are provided to illustrate key graph concepts and theorems are stated about properties of graphs like the Petersen graph and graph components.
The document defines and discusses several key concepts relating to groups in abstract algebra:
- A group is defined as a non-empty set together with a binary operation that satisfies closure, associativity, identity, and inverse properties.
- An abelian (or commutative) group is one where the binary operation is commutative. Examples of abelian groups include integers under addition.
- The quaternion group is a non-abelian group of order 8 under multiplication.
- Theorems are presented regarding the uniqueness of identity and inverses in a group, as well as cancellation, reverse order, and inverse properties of groups.
Analytic Function, C-R equation, Harmonic function, laplace equation, Construction of analytic function, Critical point, Invariant point , Bilinear Transformation
1. The document discusses the concept of the derivative and differentiation using the first principle. It explains how to calculate the slope of a tangent line to a curve at a point using limits, which gives the derivative of the function at that point.
2. Rules for differentiating common functions like polynomials, exponentials, and logarithms are covered. Higher-order derivatives and applications of derivatives to business and economics are also mentioned.
3. The goals of the class are to explain the concept of the derivative, differentiate functions using the first principle (limits), and understand various differentiation rules.
- The document discusses the concept of derivatives in calculus, including definitions, notations, and methods for computing derivatives of functions.
- It provides examples of computing derivatives of various functions like polynomials, square roots, and rational functions.
- A function is said to be differentiable if its derivative exists, and the document explores conditions where a function may not be differentiable, such as having a sharp corner or vertical tangent.
This document discusses applying the Laplace transform to modeling the vocal tract. It begins with an abstract discussing the Laplace transform and its properties. It then discusses a generalized acoustic tube model of the vocal tract that includes the oral cavity, nasal cavity, and main vocal tract. The model considers a branch section where the three branches meet. The document discusses obtaining the transfer function from this generalized model and using it to formulate a pole-zero type linear prediction algorithm. It will evaluate the prediction coefficients and reflection coefficients by analyzing voiced and nasal sounds.
This document is a project report submitted by S. Manikanta in partial fulfillment of the requirements for a Master of Science degree in Mathematics. The report discusses applications of graph theory. It provides an overview of graph theory concepts such as definitions of graphs, terminology used in graph theory, different types of graphs, trees and forests, graph isomorphism and operations, walks and paths in graphs, representations of graphs using matrices, applications of graphs in areas like computer science, fingerprint recognition, security, and more. The document also includes examples and illustrations to explain various graph theory concepts.
1. The document discusses groups, subgroups, cosets, normal subgroups, quotient groups, and homomorphisms.
2. It defines cosets, proves Lagrange's theorem that the order of a subgroup divides the order of the group, and provides examples of finding cosets.
3. Normal subgroups are introduced, and it is shown that the set of cosets of a normal subgroup forms a group under a defined operation, known as the quotient group. Homomorphisms between groups are defined, and examples are given.
Derivatives and it’s simple applicationsRutuja Gholap
The document provides an introduction to derivatives and their applications. It defines the derivative as the rate of change of a function near an input value and discusses how it relates geometrically to the slope of the tangent line. It then gives examples of finding the derivatives of common functions like constants, polynomials, and exponentials. The document also covers basic derivative rules like the constant multiple rule, sum and difference rules, product rule, and quotient rule. Finally, it discusses applications of derivatives in topics like physics, such as calculating velocity and acceleration from a position function.
Graph theory is widely used in science and everyday life. It can model real world problems and systems using vertices to represent objects and edges to represent connections between objects. The document discusses several applications of graph theory in chemistry, physics, biology, computer science, operations research, Google Maps, and the internet. For example, in chemistry graph theory is used to model molecules with atoms as vertices and bonds as edges. In computer science, graph theory concepts are used to develop algorithms for problems like finding shortest paths in a network.
This document provides an overview of graph theory concepts including:
- The basics of graphs including definitions of vertices, edges, paths, cycles, and graph representations like adjacency matrices.
- Minimum spanning tree algorithms like Kruskal's and Prim's which find a spanning tree with minimum total edge weight.
- Graph coloring problems and their applications to scheduling problems.
- Other graph concepts covered include degree, Eulerian paths, planar graphs and graph isomorphism.
1. The homomorphism h maps R3 to itself. Its range is all of R3, so its rank is 3. Its nullspace is {0}, so its nullity is 0.
2. For the map f from R2 to R, the inverse image of 3 is the empty set, the inverse image of 0 is the y-axis, and the inverse image of 1 is the line y = x.
3. For any linear map h, the image of the span of a set S is equal to the span of the images of the elements of S.
This document provides an overview of Chapter 3 from a Calculus I course on derivatives. It introduces the concept of the derivative and how it relates to tangent lines and rates of change. The chapter outline describes sections on the derivative of functions, rules of derivatives, derivatives of trigonometric functions, the chain rule, and implicit differentiation. Examples are provided for taking derivatives of various functions, including constant functions, power functions, sums and differences, and products. Higher derivatives are also introduced.
Beta and gamma are the two most popular functions in mathematics. Gamma is a single variable function, whereas Beta is a two-variable function. The relation between beta and gamma function will help to solve many problems in physics and mathematics.
- The Laplace transform is a linear operator that transforms a function of time (f(t)) into a function of complex frequency (F(s)). It was developed from the work of mathematicians like Euler, Lagrange, and Laplace.
- The Laplace transform has many applications in fields like semiconductor mobility, wireless network call completion, vehicle vibration analysis, and modeling electric and magnetic fields. It allows transforming differential equations into algebraic equations that are easier to solve.
- For example, in semiconductors with varying material layers, the Laplace transform can relate the conductivity tensor to the Laplace transforms of electron and hole densities, enabling the determination of key properties like carrier concentration and mobility in each layer.
Experimental Analysis of Material Removal Rate in Drilling of 41Cr4 by a Tagu...IJERA Editor
In manufacturing industries the largest amount of money spent on drills. Therefore, from the viewpoint of cost and productivity, modeling and optimization of drilling processes parameter are extremely important for the manufacturing industry this paper presents a detailed model for drilling process parameter. The detailed structure includes in the model, are three parameters such as such as Spindle Speed, feed and depth of cut on material removal rate in drilling of 41 Cr 4 material using HSS spiral drill .We an effect of this three parameters on material removal rate .The detailed mathematical model is simulated by Minitab14 and simulation results fit experiment data very well In this investigation, an effective approach based on Taguchi method, analysis of variance (ANOVA), multivariable linear regression (MVLR), has been developed to determine the optimum conditions leading to higher MRR. Experiments were conducted by varying Spindle Speed, feed and depth of cut using L9 orthogonal array of Taguchi method. The present work aims at optimizing process parameters to achieve high MMR. Experimental results from the orthogonal array were used as the training data for the MVLR model to map the relationship between process parameters and MMR the experiment was conducted on drilling machine. From the investigation It concludes that speed is most influencing parameter followed by feed and depth of cut on MRR
Comparative analysis of the mechanical and thermal properties of polyester hy...IJERA Editor
This work describes the study to investigate and compare the mechanical and thermal properties of raw jute and glass fiber reinforced polyester hybrid composites. To improve the mechanical properties, jute fiber was hybridized with glass fiber. Polyester resin, jute and glass fibers were laminated in three weight ratios(77/23/0, 68/25/7 and 56/21/23) respectively to form composites. The tensile, flexural, impact, density, thermal and water absorption tests were carried out using hybrid composite samples. This study shows that the addition of jute fiber and glass fiber in polyester, increase the density, the impact energy, the tensile strength and the flexural strength, but decrease the loss mass in function of temperature and the water absorption. Morphological analysis was carried out to observe fracture behavior and fiber pull-out of the samples using scanning electron microscope.
This document provides an overview of search engine optimization (SEO). It explains that SEO involves optimizing websites to appear high in search engine results pages (SERPs) for relevant keyword searches so that consumers find businesses' solutions to their needs. The goals of SEO include appearing on the first page of search engines for target keywords, consuming more "real estate" on SERPs, and continually growing traffic and monitoring results. SEO encompasses website coding, content creation, and other marketing efforts to connect businesses with customers seeking answers.
Studies on Rice Bran and its benefits- A ReviewIJERA Editor
Rice bran, a by-product of rice milling industry is rich in micronutrients like oryzanols, tocopherols, tocotrienols, phytosterols and dietary fibers. The high nutritional profile of rice bran has not been utilized due to problems associated with lipase enzyme, which reduces the quality of rice bran and makes it unfit for human consumption. After the stabilization of lipase enzyme, it is possible to derive highly nutritious value-added products of rice bran. Due to the presence of antioxidants, it helps in lowering plasma cholesterol, decreasing serum cholesterol, decreasing cholesterol absorption and decreasing platelet aggregation. It has also been used to cure hyperlipidemia, menopause disorders and to increase the muscle mass. The most widely accepted product of rice bran is its oil that has exceptional properties as compared to other vegetable oils. This review paper describes the distinct properties of rice bran as well as its health benefits.
Progressi nelle Comunità Terapeutiche. Riflessioni sulle esperienze Inglesi e...Raffaele Barone
Sintesi per la sessione del mattino: Barone & Bruschetta
La comunità terapeutica nella comunità locale: i limiti,
le risorse del partenariato e della democrazia
Dokumen ini membahas tentang reka bentuk organisasi, proses pengorganisasian, konsep pengorganisasian, dan gaya kepimpinan dalam organisasi serta mengenal pasti ciri-ciri dan proses pengorganisasian termasuk penentuan objektif, pengenalpastian aktiviti, dan pengelompokan aktiviti.
Trademark holders can benefit from the priority registration period before the widespread distribution of the Frogans technology.
The priority registration period for trademark holders concerns trademarks holders which are interested in the Frogans project, its innovative nature, and the opportunities offered by the Frogans technology as regards publishing content on the Internet, and that wish to participate in this project by asserting their intellectual property rights in this new addressing space.
During this period, from April 15 to June 15 2015, trademark holders can register dedicated Frogans networks corresponding to their trademarks.
This document provides sample questions and problems from an ACCT 212 Financial Accounting course. It includes questions about various accounting concepts like the acid-test ratio, closing temporary accounts, constructing an unadjusted trial balance, internal controls, inventory valuation methods, depreciation calculations, stock transactions, fraud, and perpetual inventory methods. Sample problems are provided for each concept to help explain the relevant accounting principles and calculations.
The document discusses Delphi XE8, an integrated development environment for rapid application development. It summarizes new features in XE8 including iOS 64-bit support, improved multi-device capabilities through FireMonkey, and enhanced connectivity and Internet of Things support in the runtime library. The keynote presentation focuses on Delphi's capabilities for building connected, cross-platform applications and its support for mobile, desktop, web and IoT development.
Numerical approach of riemann-liouville fractional derivative operatorIJECEIAES
The document presents two theorems that provide new formulas for approximating the Riemann-Liouville fractional derivative operator in the form of power series. Theorem 8 derives an expression for the operator when 0 < α ≤ 1 that represents it as a fractional series involving the function and its derivatives up to order n+1, plus a remainder term involving the (n+1)th derivative. Theorem 9 generalizes this to the case when m - 1 < α < m, where m is a positive integer. These formulas are useful for establishing new approaches to solve linear and nonlinear fractional differential equations in series form.
In this paper, we make use of the fractional differential operator method to find the modified Riemann-Liouville (R-L) fractional derivatives of some fractional functions include fractional polynomial function, fractional exponential function, fractional sine and cosine functions. The Mittag-Leffler function plays an important role in our article, and the fractional differential operator method can be applied to find the particular solutions of non-homogeneous linear fractional differential equations (FDE) with constant coefficients in a unified way and it is a generalization of the method of finding particular solutions of classical ordinary differential equations. On the other hand, several examples are illustrative for demonstrating the advantage of our approach and we compare our results with the traditional differential calculus cases.
Convolution of an Fractional integral equation with the I-function as its kernelIRJET Journal
This document presents solutions to convolution integral equations whose kernels involve generalized H-functions and I-functions. It defines H-functions and I-functions of one and two variables, which are generalizations of Fox's H-function. It then presents three main results that provide solutions to convolution integral equations having I-function kernels of one variable. Proofs of the results are presented using Mellin-Barnes type contour integrals and properties of gamma and Laplace transforms. The results generalize classical convolution theorems and can be applied to solve convolution-type integral equations.
Solution of Ordinary Differential Equation with Initial Condition Using New E...IRJET Journal
This document presents a new method for solving ordinary differential equations (ODEs) using the Elzaki transform. It defines the Elzaki transform and derives properties for taking the transform of derivatives and functions. It then shows that the Elzaki transform can be used to obtain simple formulas for solving first-order first-degree and second-order first-degree ODEs with constant coefficients. Examples are provided to demonstrate the method. The Elzaki transform method provides an effective way to solve certain types of ODEs.
Generally it has been noticed that differential equation is solved typically. The Laplace transformation makes it easy to solve. The Laplace transformation is applied in different areas of science, engineering and technology. The Laplace transformation is applicable in so many fields. Laplace transformation is used in solving the time domain function by converting it into frequency domain. Laplace transformation makes it easier to solve the problems in engineering applications and makes differential equations simple to solve. In this paper we will discuss how to follow convolution theorem holds the Commutative property, Associative Property and Distributive Property. Dr. Dinesh Verma"Application of Convolution Theorem" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: http://www.ijtsrd.com/papers/ijtsrd14172.pdf http://www.ijtsrd.com/mathemetics/applied-mathamatics/14172/application-of-convolution-theorem/dr-dinesh-verma
Numerical Solution Of Delay Differential Equations Using The Adomian Decompos...theijes
Adomian Decomposition Method has been applied to obtain approximate solution to a wide class of ordinary and partial differential equation problems arising from Physics, Chemistry, Biology and Engineering. In this paper, a numerical solution of delay differential Equations (DDE) based on the Adomian Decomposition Method (ADM) is presented. The solutions obtained were without discretization nor linearization. Example problems were solved for demonstration. Keywords: Adomian Decomposition, Delay Differential Equations (DDE), Functional Equations , Method of Characteristic.
The document discusses relational algebra and operations that can be performed on relations in a relational database. It describes unary operations like select and project that operate on a single relation, as well as binary operations like join, union, and difference that combine two relations. It also covers additional operations like aggregation, outer joins, and recursive closure that provide more advanced querying capabilities beyond the core relational algebra. The goal of relational algebra is to allow users to use a sequence of algebraic operations to specify database queries and retrieve relation data in a declarative manner.
This document describes a new decomposition method called the Andualem-Khan Decomposition Method (AKDM) for solving nonlinear differential equations. The AKDM combines the AK transform with the Adomian decomposition method.
The AK transform is a new integral transform introduced by Andualem and Khan in 2022. Properties of the AK transform and how it can be used to solve differential equations are presented.
The document then explains how the AKDM works by applying the AK transform to a general nonlinear differential equation, representing the solution as an infinite series, and decomposing the nonlinearity into Adomian polynomials to generate a recurrence relation for obtaining successive terms of the series solution.
Examples of applying the AKDM to
The Laplace transform is an integral transform that converts a function of time (often a function that represents a signal) into a function of complex frequency. It has various applications in engineering for solving differential equations and analyzing linear systems. The key aspect is that it converts differential operators into algebraic operations, allowing differential equations to be solved as algebraic equations. This makes the equations much easier to manipulate and solve compared to the original differential form.
An alternative scheme for approximating a periodic functionijscmcj
Fourier series is generally used in applied mathematics and non-linear mechanics to solve the problems containing periodic functions. The aim of this paper is to present a new scheme through involving the Taylor’s series after some process modification for all such problems. It will save the long evaluation process involve in computing the different constants of Fourier series. The result obtained by the present
method has been compared with the result from the Fourier series expansion w.r.t. the exact solution and
found to be more satisfactory.
An econometric model for Linear Regression using StatisticsIRJET Journal
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Properties of Caputo Operator and Its Applications to Linear Fractional Differential Equations
1. B. R. Sontakke Int. Journal of Engineering Research and Applications www.ijera.com
ISSN : 2248-9622, Vol. 5, Issue 5, ( Part -1) May 2015, pp.22-27
www.ijera.com 22 | P a g e
Properties of Caputo Operator and Its Applications to Linear
Fractional Differential Equations
B. R. Sontakke, A. S. Shaikh
Department of Mathematics, Pratishthan Mahavidyalaya, Paithan - 431 107 Dist. Aurangabad, (M.S.) India
Department of Mathematics, Poona College of Arts, science & Commerce, Camp, Pune- 411001, (M.S.), India
Abstract
The purpose of this paper is to demonstrate the power of two mostly used definitions for fractional
differentiation, namely, the Riemann-Liouville and Caputo fractional operator to solve some linear fractional-
order differential equations. The emphasis is given to the most popular Caputo fractional operator which is more
suitable for the study of differential equations of fractional order..Illustrative examples are included to
demonstrate the procedure of solution of couple of fractional differential equations having Caputo operator
using Laplace transformation. Itshows that the Laplace transforms is a powerful and efficient technique for
obtaining analytic solution of linear fractional differential equations
Keywords: Fractional differential equations; The Riemann-Liouville and Caputo fractional derivatives,
Laplace Transform method.
I. Introduction
Although the fractional calculus has a long history and has been applied in various fields in real life, the
interest in the study of FDEs and their applications has attracted the attention of many researchers and scientific
societies beginning only in the last three decades. Since the exact solutions of most of the FDEs cannot be found
easily, the analytical and numerical methods must be used. During the last decades, several methods have been
proposed to solve fractional partial differential equations, fractional integro-differential equations and dynamic
systems containing fractional derivatives, such as Adomian decomposition method [1, 2, 3 ], He’s variational
iteration method [8], homotopy perturbation method [9], homotopy analysis method [5], existence and
uniqueness results by using monotone method[4,6], Another powerful method which can also give explicit form
for the solution is the Laplace transform method, which will allow us to transform fractional differential
equations into algebraic equations and then by solving this algebraic equations, we can obtain the unknown
function by using the Inverse Laplace Transform.
Fractional differential equations concerning the Riemann-Liouville fractional operators [7] or the Caputo
derivative have been recommended by many authors. However, the Caputo (1967) definition of fractional
derivatives not only provides initial conditions with clear physical interpretation but it is also bounded, meaning
that the derivative of a constant is equal to 0.
In this paper, section 2 is begin by introducing some necessary definitions and properties of The Riemann-
Liouville and Caputo fractional derivatives.In section 3 the Laplace transform and the inverse Laplace transform
is discussed in details. In section 4, Illustrative examples are included to demonstrate the procedure of solution
of fractional differential equation using Laplace transformation.
II. Definitions and Properties
2.1 Gamma function [12]
The Gamma function denoted by 𝛤 𝑧 , is a generalization of factorial function𝑛! for complex argument
with positive real part it is defined as
𝛤 𝑧 = 𝑒−𝑡
𝑡 𝑧−1∞
0
𝑑𝑡 ReZ> 0
by analytic continuation the function is extended to whole complex plane except for the points {0, -1, -2, -3,…}
where it has simple poles.
2.2 The Mittag-Leffler Functions [12]
While the Gamma function is a generalization of factorial function, the Mittag-Leffler function is a
generalization of exponential function, first introduced as a one parameter function by the series
RESEARCH ARTICLE OPEN ACCESS
2. B. R. Sontakke Int. Journal of Engineering Research and Applications www.ijera.com
ISSN : 2248-9622, Vol. 5, Issue 5, ( Part -1) May 2015, pp.22-27
www.ijera.com 23 | P a g e
𝐸 𝛼 𝑧 =
𝑧 𝑘
𝛤(𝛼𝑘 + 1)
, 𝛼 > 0, 𝛼 𝜖 𝑅,
∞
𝑘=0
𝑧 𝜖 𝐶
Later the two parameter generalization introduced by Agarwal
𝐸 𝛼,𝛽 𝑧 =
𝑧 𝑘
𝛤(𝛼𝑘 + 𝛽)
, 𝛼, 𝛽 > 0, 𝛼 , 𝛽𝜖 𝑅
∞
𝑘=0
2.2 The Riemann-Liouville and Caputo Fractional Fractional Differential operator
(a) Suppose that 𝛼 > 0, 𝑡 > 𝑎, 𝛼, 𝑎, 𝑡 𝜖 𝑅. Then fractional operator
𝐷 𝛼
𝑓 𝑡 =
1
𝛤 𝑛 − 𝛼
𝑑 𝑛
𝑑𝑡 𝑛
𝑓 𝑥
𝑡 − 𝑥 𝛼+1−𝑛
𝑡
𝑎
𝑑𝑥; 𝑛 − 1 < 𝛼 < 𝑛
is called the Riemann-Liouville fractional derivative or Riemann-Liouville fractional differential operator of
order 𝛼.
(b) Another definition that can be used to compute a differ integral was introduced by Caputo in
the 1960s. The benefit of using the Caputo definition is that it not only allows for the consideration of easily
interpreted initial conditions, but it is also bounded, meaning that the derivative of a constant is equal to 0.
Suppose that 𝛼 > 0, 𝑡 > 𝑎, 𝛼, 𝑎, 𝑡 𝜖 𝑅. Then fractional operator
𝐷∗
𝛼
𝑓 𝑡 =
1
𝛤(𝑛 − 𝛼)
𝑓(𝑛)
(𝑥)
(𝑡 − 𝑥) 𝛼+1−𝑛
𝑡
𝑎
𝑑𝑥 𝑛 − 1 < 𝛼 < 𝑛
is called the Caputo fractional derivative or Caputo fractional differential operator of order 𝛼 [10]
2.3 Properties of Caputo Fractional Differential operator
Representation
Let n − 1 < 𝛼 < 𝑛,n ∈ N, α ∈ R and f t be such that D∗
α
f t exist. then
𝐷∗
𝛼
𝑓 𝑡 = 𝐼 𝑛−𝛼
𝐷 𝑛
𝑓 𝑡
This means that the Caputo fractional operator is equivalent to 𝑛 − 𝛼 fold integration after 𝑛 𝑡
order
differentiation. While Riemann-Liouville fractional derivative is equivalent to the composition of same operator
but in reverse order.
Interpolation
Let n − 1 < 𝛼 < 𝑛,n ∈ N, α ∈ R and f t be such that D∗
α
f t exist. Then following properties hold for the
Caputo operator.
Lim
𝛼→𝑛
𝐷∗
𝛼
𝑓 𝑡 = 𝑓 𝑛
𝑡 ,
Lim
𝛼→𝑛−1
𝐷∗
𝛼
𝑓 𝑡 = 𝑓 𝑛−1
𝑡 − 𝑓 𝑛−1
(0)
Linearity:
Let n − 1 < 𝛼 < 𝑛,n ∈ N, α, λ ∈ C and functions f t and g t be such that both
𝐷α
f t and D∗
α
g t exist. the Caputo fractional derivative is a linear operator, i. e.
𝐷∗
𝛼
𝜆𝑓 𝑡 + 𝑔 𝑡 = 𝜆𝐷∗
𝛼
𝑓 𝑡 + 𝐷∗
𝛼
𝑔 𝑡
Non-commutation
Let n − 1 < 𝛼 < 𝑛, m, n ∈ N, α ∈ R and the function f t is such that D∗
α
f t exists.
Then in general
𝐷∗
𝛼
𝐷 𝑚
𝑓 𝑡 = 𝐷∗
𝛼+𝑚
𝑓 𝑡 ≠ 𝐷 𝑚
𝐷∗
𝛼
𝑓 𝑡
In general the two operators, Riemann- Liouville and Caputo, do not coincide, but if function
f t be such that f s
0 = 0,
s = 0, 1, 2, . . . n − 1 then the Riemann − Liouville and Caputo fractional derivatives coincides
𝐷 𝛼
𝑓 𝑡 = 𝐷∗
𝛼
𝑓 𝑡
3. B. R. Sontakke Int. Journal of Engineering Research and Applications www.ijera.com
ISSN : 2248-9622, Vol. 5, Issue 5, ( Part -1) May 2015, pp.22-27
www.ijera.com 24 | P a g e
Initial condition
Consider the following differential equation
𝐷 𝛼
𝑦 𝑡 − 𝑦 𝑡 = 0; t > 0, 𝑛 − 1 < 𝛼 < 𝑛 ∈ 𝑁,(A)
[ 𝐷 𝛼−𝑘−1
𝑦 𝑡 ]𝒕=𝟎 =𝑏 𝑘 𝑘 = 0, 1, 2, … 𝑛 − 1
𝐷∗
𝛼
𝑦 𝑡 − 𝑦 𝑡 = 0; t > 0, 𝑛 − 1 < 𝛼 < 𝑛 ∈ 𝑁 (B)
𝑦(𝑘)
0 = 𝑐 𝑘 𝑘 = 0, 1, 2, … 𝑛 − 1
Here it is worth to note that:
In (A) Riemann-Liouville fractional derivative is applicable and initial conditions with Fractional derivative
are required. In such initial value problems solutions are practically useless, because there is no clear physical
interpretation of this type of initial condition [12]. On the contrary in (B) the Caputo Fractional differentiation
operator is applicable, standard initial conditions in terms of derivatives of integer order is involved. These
initial conditions have clear physical interpretation as an initial position y(a) at point a, the initial velocity𝑦′
a ,
initial acceleration 𝑦′′
a and so on.
This is a main advantage of Caputo operator over Riemann-Liouvillefractional operator.
The Laplace transform of the Caputo Fractional derivative is a generalization of the Laplace
transform of integer order derivative, where n is replaced by 𝛼. The same does not hold for the Riemann-
Liouville case. This Property is an important advantage of the Caputo operator over the Riemann-Liouville
operator.
Let 𝑡 > 0, 𝛼 ∈ 𝑅, 𝑛 − 1 < 𝛼 < 𝑛 ∈ 𝑁 then the following relation between the Riemann Liouville and
the Caputo operator holds [11]
𝐷∗
𝛼
𝑓(𝑡) = 𝐷 𝛼
𝑓 𝑡 −
𝑡 𝑘−𝛼
𝛤(𝑘 + 1 − 𝛼)
𝑓 𝑘
𝑛−1
𝑘=0
0
III. The Laplace Transform
3.1Definition:
Let f t be a function of a variable t such that the function 𝑒−𝑠𝑡
𝑓 𝑡 is integrable in [0, ∞)for some domain
of values of s. The Laplace transform of the function 𝑓 𝑡 is defined for above domain values of s and it is
denoted by [12] 𝐿 𝑓 𝑡 = 𝑒−𝑠𝑡
𝑓 𝑡 𝑑𝑡.
∞
0
The Laplace transform of function 𝑓 𝑡 = 𝑡 𝛼
is given for𝛼 as non-integer order 𝑛 − 1 < 𝛼 ≤ 𝑛
𝐿 𝑡 𝛼
=
𝛤(𝛼 + 1)
𝑆 𝛼+1
3. 2Laplace Transform of the basic fractional operator
Suppose that p > 0, and F(s) is the Laplace transform of f(t) then following statements holds [12]
(a) The Laplace transform of Riemann-Liouville Fractional differential operator of order 𝛼
is given by
𝐿 𝐷 𝛼
𝑓 𝑡 = 𝑠 𝛼
𝐹 𝑠 − 𝑠 𝑛−𝑘−1
[𝐷 𝑘
𝐼 𝑛−𝛼
𝑓 𝑡 ]𝑡=0
𝑛−1
𝑘=0
𝑛 − 1 < 𝛼 < 𝑛 (3.1)
(b) The Laplace transform of Caputo Fractional differential operator of order α is given by
𝐿 𝐷∗
𝛼
𝑓 𝑡 = 𝑠 𝛼
𝐹 𝑠 − 𝑠 𝛼−𝑘−1
𝑓 𝑘
𝑛−1
𝑘=0
0 , 𝑛 − 1 < 𝛼 ≤ 𝑛 ∈ 𝑁 (3. 2)
Which can also be obtain in the form
𝐿 𝐷∗
𝛼
𝑓 𝑡 =
𝑠 𝑛
𝐹 𝑠 − 𝑠 𝑛−1
𝑓 0 − 𝑠 𝑛−2
𝑓′
0 − ⋯ − 𝑓 𝑛−1
(0)
𝑠 𝑛−𝛼
(3. 3)
(c) Let 𝛼, 𝛽, 𝜆 ∈ 𝑅, 𝛼, 𝛽 > 0, 𝑚 ∈ 𝑁. Then the Laplace transform of the two – parameter function of
Mittag-Leffler type is given by
4. B. R. Sontakke Int. Journal of Engineering Research and Applications www.ijera.com
ISSN : 2248-9622, Vol. 5, Issue 5, ( Part -1) May 2015, pp.22-27
www.ijera.com 25 | P a g e
𝐿 𝑡 𝛼𝑚 +𝛽−1
𝐸 𝛼,𝛽
𝑚
±𝜆𝑡 𝛼
=
𝑚! 𝑠 𝛼−𝛽
(𝑠 𝛼 ∓ 𝜆) 𝑚 +1 , 𝑅𝑒 𝑠 > 𝜆
1
𝛼 (3.4)
This formula is mainly used for solving FDEs.
Lemma1:Let 𝑎 ∈ 𝑅, 𝛼 ≥ 𝛽 > 0 , 𝑠 𝛼−𝛽
> 𝑎 we have following inverse Laplace transform formula
𝐿−1
1
(𝑠 𝛼 + 𝑎𝑠 𝛽 ) 𝑛+1
= 𝑡 𝛼 𝑛+1 −1
(−𝑎) 𝑘 𝑛 + 𝑘
𝑘
𝛤(𝑘 𝛼 − 𝛽 + 𝑛 + 1 𝛼)
∞
𝑘=0
𝑡 𝑘(𝛼−𝛽)
(3. 5)
Proof :
1
(𝑠 𝛼 + 𝑎𝑠 𝛽 ) 𝑛+1
=
1
(𝑠 𝛼 ) 𝑛+1 1 +
𝑎
𝑠 𝛼−𝛽
𝑛+1
=
1
(𝑠 𝛼 ) 𝑛+1
𝑛 + 𝑘
𝑘
∞
𝑘=0
−𝑎
𝑠 𝛼−𝛽
𝑘
𝑠𝑖𝑛𝑐𝑒
1
1 + 𝑥 𝑛+1
=
𝑛 + 𝑘
𝑘
−𝑥 𝑘
∞
𝑘=0
Applying inverse Laplace transform
= 𝐿−1
1
(𝑠 𝛼 ) 𝑛+1
𝑛 + 𝑘
𝑘
∞
𝑘=0
−𝑎 𝑘
𝐿−1
1
𝑠 𝑘 𝛼−𝛽
= 𝑡 𝛼 𝑛+1 −1
(−𝑎) 𝑘 𝑛 + 𝑘
𝑘
𝛤(𝑘 𝛼 − 𝛽 + 𝑛 + 1 𝛼)
∞
𝑘=0
𝑡 𝑘(𝛼−𝛽)
Lemma 2:𝛼 ≥ 𝛽, 𝛼 > 𝛾, 𝑎 ∈ 𝑅, 𝑠 𝛼−𝛽
> 𝑎 , 𝑠 𝛼
+ 𝑎𝑠 𝛽
> 𝑏
𝐿−1
𝑠 𝛾
(𝑠 𝛼 + 𝑎𝑠 𝛽 + 𝑏)
= 𝑡 𝛼−𝛾−1
(−𝑏) 𝑛
(−𝑎) 𝑘 𝑛 + 𝑘
𝑘
𝛤(𝑘 𝛼 − 𝛽 + 𝑛 + 1 𝛼 − 𝛾)
∞
𝑘=0
𝑡 𝑘 𝛼−𝛽 +𝑛𝛼
∞
𝑛=0
(3.6)
Proof:
𝑠 𝛾
(𝑠 𝛼 + 𝑎𝑠 𝛽 + 𝑏)
=
𝑠 𝛾
(𝑠 𝛼 + 𝑎𝑠 𝛽 )(1 +
𝑏
𝑠 𝛼 +𝑎𝑠 𝛽 )
=
𝑠 𝛾
(𝑠 𝛼 + 𝑎𝑠 𝛽 )
1
(1 +
𝑏
𝑠 𝛼 +𝑎𝑠 𝛽 )
Since
𝑏
𝑠 𝛼 +𝑎𝑠 𝛽 < 1, 𝑎𝑛𝑑 using
1
1+𝑥
= −1 𝑛
𝑥 𝑛∞
𝑛=0
=
𝑠 𝛾
(𝑠 𝛼 + 𝑎𝑠 𝛽 )
−1 𝑛
(
𝑏
𝑠 𝛼 + 𝑎𝑠 𝛽
) 𝑛
∞
𝑛=0
= −𝑏 𝑛
∞
𝑛=0
𝑠 𝛾
(𝑠 𝛼 + 𝑎𝑠 𝛽 ) 𝑛+1
Applying inverse Laplace transform and using Lemma 1, also𝐿−1
{𝑠 𝛾
} =
𝑡−𝛾−1
𝛤(−𝛾)
= 𝑡 𝛼−𝛾−1
(−𝑏) 𝑛
(−𝑎) 𝑘 𝑛 + 𝑘
𝑘
𝛤(𝑘 𝛼 − 𝛽 + 𝑛 + 1 𝛼 − 𝛾)
∞
𝑘=0
𝑡 𝑘 𝛼−𝛽 +𝑛𝛼
∞
𝑛=0
IV. Applications
In this section we obtain the solution of some linear fractional differential equations with Caputo operator
using Laplace transform method.The Laplace transform method is one of the most powerful methods of solving
LFDE switch constant coefficients. On the other hand it is useless for LFDEs with general variablecoefficients
or for nonlinear FDEs.
Example 1.Consider the fractional differential equation of the form
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𝐷∗
𝛼
𝑦(𝑡) = 𝑓(𝑡) with initial conditions
𝑦 𝑘
0 = 𝑐 𝑘 ; 𝑘 = 0, 1, 2, … 𝑛 − 1
Where 𝐷∗
𝛼
denotes Caputo derivative and n is the smallest integer greater than 𝛼
Solution:
Suppose that 𝑓(𝑡)isa sufficiently good function i.e. Laplace transform of 𝑓 ( 𝑡 )existApplying the Laplace
transform on both the sides of equation we have,
L{𝐷∗
𝛼
𝑦(𝑡)} = L{𝑓(𝑡)}
Applying (3.2) on LHS we get, 𝑠 𝛼
𝑌 𝑠 − 𝑠 𝛼−𝑘−1
𝑦 𝑘𝑛−1
𝑘=0 0 = 𝐹(𝑠)
Since Laplace transform is linear equation can be solved with respect to Y(s) as follows
Y(s) =
𝐹 𝑠 + 𝑠 𝛼−𝑘−1 𝑦 𝑘𝑛−1
𝑘=0 0
𝑠 𝛼 by using initial conditions
Y(s) =
𝐹 𝑠 + 𝑐 𝑘 𝑠 𝛼−𝑘−1𝑛−1
𝑘=0
𝑠 𝛼
by Laplace transform of the two-parameter of Mittag-Leffler type as well as the linearity property it follows
𝑌 𝑠 =
𝐹 𝑠
𝑠 𝛼
+
𝑠 𝛼−𝑘−1
𝑠 𝛼
𝑐 𝑘
𝑛−1
𝑘=0
Making use of (3.4),
=
𝐹 𝑠
𝑠 𝛼
+ 𝐿{𝑡 𝑘
𝑛−1
𝑘=0
𝐸 𝛼,𝑘+1 𝑡 𝛼
} 𝑐 𝑘 =
𝐹 𝑠
𝑠 𝛼
+ 𝐿 𝑐 𝑘 𝑡 𝑘
𝑛−1
𝑘=0
𝐸 𝛼,𝑘+1 𝑡 𝛼
Then using the inverse Laplace transform y(t) can be found as
𝐿−1
{𝑌(𝑠)} = 𝐿−1
𝐹 𝑠
𝑠 𝛼
+ 𝐿 𝑐 𝑘 𝑡 𝑘
𝑛−1
𝑘=0
𝐸 𝛼,𝑘+1 𝑡 𝛼
𝑦(𝑡) = 𝐿−1
𝐹 𝑠
𝑠 𝛼
+ 𝑐 𝑘 𝑡 𝑘
𝑛−1
𝑘=0
𝐸 𝛼,𝑘+1 𝑡 𝛼
= 𝑡 𝛼−1
𝐸 𝛼,𝛼 𝑡 𝛼
∗ 𝑓 𝑡 + 𝑐 𝑘 𝑡 𝑘
𝑛−1
𝑘=0
𝐸 𝛼,𝑘+1 𝑡 𝛼
which isa required solution.
Example 2
Consider the Bagley- Torvik equation which arises in modeling the motion of a rigid plate immersed in a
Newtonian fluid.
𝐷∗
2
𝑦 𝑡 + 2𝐷∗
3
2 𝑦 𝑡 + 2𝑦 𝑡 = 8𝑡5
; 𝑦 0 = 0, 𝑦′
(0) = 0
Solution:
Applying the Laplace transform on both the sides of above equation we have,
𝐿{𝐷∗
2
𝑦 𝑡 + 2𝐷∗
3
2 𝑦 𝑡 + 2𝑦 𝑡 } = 𝐿{8𝑡5
}
𝑠2
𝑌 𝑠 − 𝑠𝑦 0 − 𝑦′
0 + 2
𝑠2
𝑌 𝑠 − 𝑠𝑦 0 − 𝑦′
0
𝑠
1
2
+ 2𝑌 𝑠 = 8
5!
𝑠6
by initial conditions
𝑠2
𝑌 𝑠 − 𝑠(0) − 0 + 2
𝑠2
𝑌 𝑠 − 𝑠 0 − 0
𝑠
1
2
+ 2𝑌 𝑠 = 8
5!
𝑠6
𝑠2
𝑌 𝑠 + 2
𝑠2
𝑌 𝑠
𝑠
1
2
+ 2𝑌 𝑠 = 8
5!
𝑠6
Y(s) 𝑠2
+ 2𝑠
3
2 + 2 = 8
5!
𝑠6 = 𝑌 𝑠 =
8×5!
𝑠6 𝑠2+2𝑠
3
2+2
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Applying inverse Laplace transform both side of above equation
𝐿−1
𝑌 𝑠 = 𝐿−1
8 × 5!
𝑠6 𝑠2 + 2𝑠
3
2 + 2
= 𝐿−1
8 × 5! 𝑠−6
𝑠2 + 2𝑠
3
2 + 2
Applying (3.6) 𝛼 = 2, 𝛽 =
3
2
, 𝛾 = −6
𝑦 𝑡 = 𝐿
8 × 5! 𝑠−6
𝑠2 + 2𝑠
3
2 + 2
= 8 × 5! 𝑡6
(−2) 𝑛+𝑘 𝑛 + 𝑘
𝑘
𝛤(
1
2
𝑘 + 2 𝑛 + 1 + 6)
∞
𝑘=0
𝑡 𝑘
1
2
+2𝑛
∞
𝑛=0
This is a required solution.
V. Conclusions
The fractional derivatives are described in the Caputo sense, obtained by Riemann-Liouville fractional
integral operator. InCaputo Fractional differential equation initial conditions have clear physical interpretation
which is a main advantage of Caputo operator over Riemann-Liouville fractional operator. Solving some
problems show that the Laplace transform is a powerful and efficient technique for obtaining analytic solution
of linear ordinary fractional differential equations.
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