This document outlines analytical methods for solving higher order ordinary differential equations (ODEs). It discusses how second and third order ODEs can be solved using self-adjoint forms and integrating factor techniques. Examples are provided to demonstrate how to identify the appropriate conditions and solve ODEs of different orders up to fourth order. Integrating factor methods allow determining a particular solution given a known solution to an associated integrating factor equation.
It turns out that an equation x^p+y^q=z^w has a solution in Z+ if and only if at least one exponent p or q or w equals 2.DOI:10.13140/RG.2.2.15459.22567/7
1. The document discusses differentiation rules including the product rule, quotient rule, chain rule, and implicit differentiation. Examples are provided to illustrate how to use each rule to take derivatives.
2. Trigonometric differentiation rules are also covered, including that the derivative of sine is cosine and the derivative of cosine is the negative of sine. Exponential and logarithmic differentiation formulas are defined.
3. The document also discusses parametric differentiation and provides examples of taking derivatives of parametric equations.
This document discusses numerical solutions of partial differential equations. It contains an introduction and four chapters:
1. Preliminaries - Defines basic concepts like differential equations, partial derivatives, order of a differential equation.
2. Partial Differential Equations of Second Order - Classifies second order PDEs and provides examples.
3. Parabolic Equations - Discusses explicit and implicit finite difference methods like Schmidt's method and Crank-Nicolson method to solve heat equation.
4. Hyperbolic Equations - Will discuss numerical methods to solve hyperbolic PDEs like the wave equation.
This document provides an introduction to partial differentiation, including:
- Defining partial derivatives and how they are calculated by treating all but one variable as a constant
- Examples of finding partial derivatives using the product, quotient, and chain rules
- Higher order partial derivatives and mixed partial derivatives
- Notation for partial derivatives
- A quiz on partial derivatives concepts
This document presents an overview of first order ordinary differential equations and applications. It contains:
1) The standard form of a linear first order differential equation and examples of solving three types of equations.
2) Applications of differential equations to model population growth and finding the equation of a curve given its slope at a point.
3) Solutions to the examples and applications in 3 sentences or less.
The document presents three solutions to finding the curve that represents the fastest path between two points under the influence of gravity, known as the brachistochrone curve.
The first solution uses a variational approach with a Lagrangian of 1 + y^2/√y to derive the Euler-Lagrange equation and obtain the parametrization x = a(θ - sinθ), y = a(1 - cosθ) of a cycloid curve.
The second solution also uses a variational approach but with y as the independent variable, obtaining the same solution.
The third solution notes the first Lagrangian is independent of x, so the quantity E = -1/√y(1+y
The document presents three solutions to finding the curve that represents the fastest path between two points under the influence of gravity, known as the brachistochrone curve.
The first solution uses a variational approach with a Lagrangian of 1 + y^2/√y to derive the Euler-Lagrange equation and obtain the parametrization x = a(θ - sinθ), y = a(1 - cosθ) of a cycloid curve.
The second solution also uses a variational approach but with y as the independent variable, obtaining the same solution.
The third solution notes the first Lagrangian is independent of x, so the quantity E = -1/√y(1+y
The document explains the Remainder Theorem in multiple ways using different examples and proofs. It states that the Remainder Theorem provides a test to determine if a polynomial f(x) is divisible by a polynomial of the form x-c. It proves that the remainder obtained when dividing f(x) by x-c is equal to the value of f(x) when x is substituted with c. It provides multiple examples working through applying the Remainder Theorem to determine if various polynomials are divisible.
It turns out that an equation x^p+y^q=z^w has a solution in Z+ if and only if at least one exponent p or q or w equals 2.DOI:10.13140/RG.2.2.15459.22567/7
1. The document discusses differentiation rules including the product rule, quotient rule, chain rule, and implicit differentiation. Examples are provided to illustrate how to use each rule to take derivatives.
2. Trigonometric differentiation rules are also covered, including that the derivative of sine is cosine and the derivative of cosine is the negative of sine. Exponential and logarithmic differentiation formulas are defined.
3. The document also discusses parametric differentiation and provides examples of taking derivatives of parametric equations.
This document discusses numerical solutions of partial differential equations. It contains an introduction and four chapters:
1. Preliminaries - Defines basic concepts like differential equations, partial derivatives, order of a differential equation.
2. Partial Differential Equations of Second Order - Classifies second order PDEs and provides examples.
3. Parabolic Equations - Discusses explicit and implicit finite difference methods like Schmidt's method and Crank-Nicolson method to solve heat equation.
4. Hyperbolic Equations - Will discuss numerical methods to solve hyperbolic PDEs like the wave equation.
This document provides an introduction to partial differentiation, including:
- Defining partial derivatives and how they are calculated by treating all but one variable as a constant
- Examples of finding partial derivatives using the product, quotient, and chain rules
- Higher order partial derivatives and mixed partial derivatives
- Notation for partial derivatives
- A quiz on partial derivatives concepts
This document presents an overview of first order ordinary differential equations and applications. It contains:
1) The standard form of a linear first order differential equation and examples of solving three types of equations.
2) Applications of differential equations to model population growth and finding the equation of a curve given its slope at a point.
3) Solutions to the examples and applications in 3 sentences or less.
The document presents three solutions to finding the curve that represents the fastest path between two points under the influence of gravity, known as the brachistochrone curve.
The first solution uses a variational approach with a Lagrangian of 1 + y^2/√y to derive the Euler-Lagrange equation and obtain the parametrization x = a(θ - sinθ), y = a(1 - cosθ) of a cycloid curve.
The second solution also uses a variational approach but with y as the independent variable, obtaining the same solution.
The third solution notes the first Lagrangian is independent of x, so the quantity E = -1/√y(1+y
The document presents three solutions to finding the curve that represents the fastest path between two points under the influence of gravity, known as the brachistochrone curve.
The first solution uses a variational approach with a Lagrangian of 1 + y^2/√y to derive the Euler-Lagrange equation and obtain the parametrization x = a(θ - sinθ), y = a(1 - cosθ) of a cycloid curve.
The second solution also uses a variational approach but with y as the independent variable, obtaining the same solution.
The third solution notes the first Lagrangian is independent of x, so the quantity E = -1/√y(1+y
The document explains the Remainder Theorem in multiple ways using different examples and proofs. It states that the Remainder Theorem provides a test to determine if a polynomial f(x) is divisible by a polynomial of the form x-c. It proves that the remainder obtained when dividing f(x) by x-c is equal to the value of f(x) when x is substituted with c. It provides multiple examples working through applying the Remainder Theorem to determine if various polynomials are divisible.
This document discusses Frullani integrals, which are integrals of the form ∫01 f(ax)−f(bx)x dx = [f(0)−f(∞)]ln(b/a). It provides 11 examples of integrals from Gradshteyn and Ryzhik that can be reduced to this Frullani form by appropriate choice of the function f(x). It also lists 9 examples found in Ramanujan's notebooks. One example, involving logarithms of trigonometric functions, requires a more complex approach. The document concludes by deriving the solution to this more delicate example.
This document provides an overview of second order ordinary differential equations (ODEs). It discusses the method of variation of parameters for finding particular solutions to inhomogeneous second order linear ODEs. It provides examples of applying this method, including a spring-mass system and an electric circuit. It also discusses applications of second order ODEs to modeling spring-mass systems and electric circuits.
AEM Integrating factor to orthogonal trajactoriesSukhvinder Singh
This document provides information about integrating factors and their use in solving differential equations. It discusses:
1) How to find integrating factors by inspection, including common differential forms.
2) Four rules for finding integrating factors for exact and homogeneous differential equations.
3) Using integrating factors to solve linear differential equations and the Bernoulli equation.
4) The concept of orthogonal trajectories and the working rule for finding the differential equation of orthogonal trajectories given a family of curves.
An example of finding the orthogonal trajectories of the curve y = x2 + c is provided.
The document discusses series solutions to ordinary differential equations near ordinary points. It defines ordinary and singular points, and states that if the point is ordinary, then the solutions can be expressed as power series expansions with a radius of convergence at least as large as that of the coefficients' power series. Several examples are worked through to demonstrate finding the radius of convergence of the series solutions.
The document discusses series solutions to second order linear differential equations near ordinary points. It provides an example of finding the series solution to the differential equation y'' + y = 0 near x0 = 0. The solution is found to be a cosine series which represents the cosine function, a fundamental solution. A second example finds the series solution to Airy's equation near x0 = 0, obtaining fundamental solutions related to Airy functions.
DOI: 10.13140/RG.2.2.24591.92329/9
The Pythagorean theorem is perhaps the best known theorem in the vast world of mathematics.A simple relation of square numbers, which encapsulates all the glory of mathematical science, isalso justifiably the most popular yet sublime theorem in mathematical science. The starting pointwas Diophantus’ 20 th problem (Book VI of Diophantus’ Arithmetica), which for Fermat is for n= 4 and consists in the question whether there are right triangles whose sides can be measuredas integers and whose surface can be square. This problem was solved negatively by Fermat inthe 17 th century, who used the wonderful method (ipse dixit Fermat) of infinite descent. Thedifficulty of solving Fermat’s equation was first circumvented by Willes and R. Taylor in late1994 ([1],[2],[3],[4]) and published in Taylor and Willes (1995) and Willes (1995). We presentthe proof of Fermat’s last theorem and other accompanying theorems in 4 different independentways. For each of the methods we consider, we use the Pythagorean theorem as a basic principleand also the fact that the proof of the first degree Pythagorean triad is absolutely elementary anduseful. The proof of Fermat’s last theorem marks the end of a mathematical era; however, theurgent need for a more educational proof seems to be necessary for undergraduates and students ingeneral. Euler’s method and Willes’ proof is still a method that does not exclude other equivalentmethods. The principle, of course, is the Pythagorean theorem and the Pythagorean triads, whichform the basis of all proofs and are also the main way of proving the Pythagorean theorem in anunderstandable way. Other forms of proofs we will do will show the dependence of the variableson each other. For a proof of Fermat’s theorem without the dependence of the variables cannotbe correct and will therefore give undefined and inconclusive results . It is, therefore, possible to prove Fermat's last theorem more simply and equivalently than the equation itself, without monomorphisms. "If one cannot explain something simply so that the last student can understand it, it is not called an intelligible proof and of course he has not understood it himself." R.Feynman Nobel Prize in Physics .1965.
QUADRATIC EQUATIONS WITH MATHS PROPER VERIFYssuser2e348b
1) The document discusses theorems and proofs related to quadratic equations. It provides a necessary and sufficient condition for two quadratic equations to have a common root.
2) Several examples of solving equations that can be reduced to quadratic equations are presented. Substitutions are made to transform the equations into standard quadratic forms that can then be solved.
3) The last problem finds an expression for the sum of the reciprocals of the terms containing the roots of a quadratic equation.
The document provides an overview of first order differential equations and methods for solving them. It discusses linear equations and introduces the method of variation of parameters for finding the general solution to a linear ODE. It also covers exact equations and defines an exact differential equation as one that can be written as M(x,y)dx + N(x,y)dy = 0, where M and N are functions of both x and y and satisfy ∂M/∂y = ∂N/∂x. Examples are provided to demonstrate solving techniques.
The document defines differential equations and key concepts related to solving ordinary differential equations (ODEs). It defines differential equations, derivatives, exponential functions, initial value problems, boundary value problems, and classification of differential equations by type, order, and linearity. It also covers verifying solutions, families of solutions, implicit solutions, initial/boundary conditions, and existence and uniqueness theorems for solving initial value problems (IVPs).
1) The document contains solutions to questions from the CAT 2007 exam. It includes step-by-step workings and explanations for 14 multiple choice questions.
2) Key details calculated include the speed of a plane, optimal investment amounts that provide the maximum guaranteed return, production levels that maximize profit, and expressions for sequences.
3) Questions cover topics such as sequences, profit maximization, plane travel times, investments, geometry, and word problems involving weights. The solutions use algebra, equations, tables, and logical reasoning.
The document discusses solving equations that are reducible to quadratic equations. It explains that a quadratic equation is an equation with a maximum power of the variable being squared. There are three methods for solving quadratic equations: factorization, completing the square, and the quadratic formula. Examples are provided of using factorization and completing the square methods to solve equations reducible to quadratic form. The document also covers forming quadratic equations from word problems and solving them.
The document discusses polynomials and their properties. It defines zeros of a polynomial as numbers that make the polynomial equal to 0 when substituted in. It provides examples of finding zeros and using the remainder and factor theorems. It also covers factorizing polynomials using identities and splitting the middle term. Key polynomial identities are presented along with examples of expanding and factorizing polynomial expressions.
HIGHWAY AND TRANSPORT ENGINERING EXAM AND ANSWER-2HIGHWAY AND TRANSPORT ENGINERING EXAM AND ANSWER-2HIGHWAY AND TRANSPORT ENGINERING EXAM AND ANSWER-2HIGHWAY AND TRANSPORT ENGINERING EXAM AND ANSWER-2HIGHWAY AND TRANSPORT ENGINERING EXAM AND ANSWER-2HIGHWAY AND TRANSPORT ENGINERING EXAM AND ANSWER-2HIGHWAY AND TRANSPORT ENGINERING EXAM AND ANSWER-2
This document discusses the existence and uniqueness of renormalized solutions to a nonlinear multivalued elliptic problem with homogeneous Neumann boundary conditions and L1 data. Specifically, it considers the problem β(u) - div a(x, Du) ∋ f in Ω, with a(x, Du).η = 0 on ∂Ω, where f is an L1 function. It provides definitions of renormalized solutions and entropy solutions. The main result is the existence and uniqueness of renormalized solutions to this problem, which is proved using a priori estimates and a compactness argument with doubling of variables.
This document discusses the existence and uniqueness of renormalized solutions to a nonlinear multivalued elliptic problem with homogeneous Neumann boundary conditions and L1 data. Specifically, it considers the problem β(u) - div a(x, Du) ∋ f in Ω, with a(x, Du).η = 0 on ∂Ω. It defines renormalized solutions and entropy solutions for this problem. The main result is that under certain assumptions on the data, there exists a unique renormalized solution to the problem. The proof uses approximate methods, showing existence and uniqueness for a penalized approximation problem, and passing to the limit.
International Journal of Engineering Research and Applications (IJERA) aims to cover the latest outstanding developments in the field of all Engineering Technologies & science.
International Journal of Engineering Research and Applications (IJERA) is a team of researchers not publication services or private publications running the journals for monetary benefits, we are association of scientists and academia who focus only on supporting authors who want to publish their work. The articles published in our journal can be accessed online, all the articles will be archived for real time access.
Our journal system primarily aims to bring out the research talent and the works done by sciaentists, academia, engineers, practitioners, scholars, post graduate students of engineering and science. This journal aims to cover the scientific research in a broader sense and not publishing a niche area of research facilitating researchers from various verticals to publish their papers. It is also aimed to provide a platform for the researchers to publish in a shorter of time, enabling them to continue further All articles published are freely available to scientific researchers in the Government agencies,educators and the general public. We are taking serious efforts to promote our journal across the globe in various ways, we are sure that our journal will act as a scientific platform for all researchers to publish their works online.
The document provides an introduction to partial differential equations (PDEs). Some key points:
- PDEs involve functions of two or more independent variables, and arise in physics/engineering problems.
- PDEs contain partial derivatives with respect to two or more independent variables. Examples of common PDEs are given, including the Laplace, wave, and heat equations.
- The order of a PDE is defined as the order of the highest derivative. Methods for solving PDEs through direct integration and using Lagrange's method are briefly outlined.
Advanced Engineering Mathematics Solutions Manual.pdfWhitney Anderson
This document contains 27 multi-part exercises involving differential equations. The exercises cover topics such as determining whether differential equations are linear or nonlinear, solving differential equations, and classifying differential equations by order.
This document discusses series solutions near regular singular points of differential equations. It begins by deriving the recurrence relation for the series coefficients from substituting a power series solution into the differential equation. It then shows how to obtain the indicial equation and exponents at the singular point. Two series solutions are given corresponding to the two exponents. An example problem finds the singular points, exponents, and series solutions for a given third order differential equation.
This document discusses Frullani integrals, which are integrals of the form ∫01 f(ax)−f(bx)x dx = [f(0)−f(∞)]ln(b/a). It provides 11 examples of integrals from Gradshteyn and Ryzhik that can be reduced to this Frullani form by appropriate choice of the function f(x). It also lists 9 examples found in Ramanujan's notebooks. One example, involving logarithms of trigonometric functions, requires a more complex approach. The document concludes by deriving the solution to this more delicate example.
This document provides an overview of second order ordinary differential equations (ODEs). It discusses the method of variation of parameters for finding particular solutions to inhomogeneous second order linear ODEs. It provides examples of applying this method, including a spring-mass system and an electric circuit. It also discusses applications of second order ODEs to modeling spring-mass systems and electric circuits.
AEM Integrating factor to orthogonal trajactoriesSukhvinder Singh
This document provides information about integrating factors and their use in solving differential equations. It discusses:
1) How to find integrating factors by inspection, including common differential forms.
2) Four rules for finding integrating factors for exact and homogeneous differential equations.
3) Using integrating factors to solve linear differential equations and the Bernoulli equation.
4) The concept of orthogonal trajectories and the working rule for finding the differential equation of orthogonal trajectories given a family of curves.
An example of finding the orthogonal trajectories of the curve y = x2 + c is provided.
The document discusses series solutions to ordinary differential equations near ordinary points. It defines ordinary and singular points, and states that if the point is ordinary, then the solutions can be expressed as power series expansions with a radius of convergence at least as large as that of the coefficients' power series. Several examples are worked through to demonstrate finding the radius of convergence of the series solutions.
The document discusses series solutions to second order linear differential equations near ordinary points. It provides an example of finding the series solution to the differential equation y'' + y = 0 near x0 = 0. The solution is found to be a cosine series which represents the cosine function, a fundamental solution. A second example finds the series solution to Airy's equation near x0 = 0, obtaining fundamental solutions related to Airy functions.
DOI: 10.13140/RG.2.2.24591.92329/9
The Pythagorean theorem is perhaps the best known theorem in the vast world of mathematics.A simple relation of square numbers, which encapsulates all the glory of mathematical science, isalso justifiably the most popular yet sublime theorem in mathematical science. The starting pointwas Diophantus’ 20 th problem (Book VI of Diophantus’ Arithmetica), which for Fermat is for n= 4 and consists in the question whether there are right triangles whose sides can be measuredas integers and whose surface can be square. This problem was solved negatively by Fermat inthe 17 th century, who used the wonderful method (ipse dixit Fermat) of infinite descent. Thedifficulty of solving Fermat’s equation was first circumvented by Willes and R. Taylor in late1994 ([1],[2],[3],[4]) and published in Taylor and Willes (1995) and Willes (1995). We presentthe proof of Fermat’s last theorem and other accompanying theorems in 4 different independentways. For each of the methods we consider, we use the Pythagorean theorem as a basic principleand also the fact that the proof of the first degree Pythagorean triad is absolutely elementary anduseful. The proof of Fermat’s last theorem marks the end of a mathematical era; however, theurgent need for a more educational proof seems to be necessary for undergraduates and students ingeneral. Euler’s method and Willes’ proof is still a method that does not exclude other equivalentmethods. The principle, of course, is the Pythagorean theorem and the Pythagorean triads, whichform the basis of all proofs and are also the main way of proving the Pythagorean theorem in anunderstandable way. Other forms of proofs we will do will show the dependence of the variableson each other. For a proof of Fermat’s theorem without the dependence of the variables cannotbe correct and will therefore give undefined and inconclusive results . It is, therefore, possible to prove Fermat's last theorem more simply and equivalently than the equation itself, without monomorphisms. "If one cannot explain something simply so that the last student can understand it, it is not called an intelligible proof and of course he has not understood it himself." R.Feynman Nobel Prize in Physics .1965.
QUADRATIC EQUATIONS WITH MATHS PROPER VERIFYssuser2e348b
1) The document discusses theorems and proofs related to quadratic equations. It provides a necessary and sufficient condition for two quadratic equations to have a common root.
2) Several examples of solving equations that can be reduced to quadratic equations are presented. Substitutions are made to transform the equations into standard quadratic forms that can then be solved.
3) The last problem finds an expression for the sum of the reciprocals of the terms containing the roots of a quadratic equation.
The document provides an overview of first order differential equations and methods for solving them. It discusses linear equations and introduces the method of variation of parameters for finding the general solution to a linear ODE. It also covers exact equations and defines an exact differential equation as one that can be written as M(x,y)dx + N(x,y)dy = 0, where M and N are functions of both x and y and satisfy ∂M/∂y = ∂N/∂x. Examples are provided to demonstrate solving techniques.
The document defines differential equations and key concepts related to solving ordinary differential equations (ODEs). It defines differential equations, derivatives, exponential functions, initial value problems, boundary value problems, and classification of differential equations by type, order, and linearity. It also covers verifying solutions, families of solutions, implicit solutions, initial/boundary conditions, and existence and uniqueness theorems for solving initial value problems (IVPs).
1) The document contains solutions to questions from the CAT 2007 exam. It includes step-by-step workings and explanations for 14 multiple choice questions.
2) Key details calculated include the speed of a plane, optimal investment amounts that provide the maximum guaranteed return, production levels that maximize profit, and expressions for sequences.
3) Questions cover topics such as sequences, profit maximization, plane travel times, investments, geometry, and word problems involving weights. The solutions use algebra, equations, tables, and logical reasoning.
The document discusses solving equations that are reducible to quadratic equations. It explains that a quadratic equation is an equation with a maximum power of the variable being squared. There are three methods for solving quadratic equations: factorization, completing the square, and the quadratic formula. Examples are provided of using factorization and completing the square methods to solve equations reducible to quadratic form. The document also covers forming quadratic equations from word problems and solving them.
The document discusses polynomials and their properties. It defines zeros of a polynomial as numbers that make the polynomial equal to 0 when substituted in. It provides examples of finding zeros and using the remainder and factor theorems. It also covers factorizing polynomials using identities and splitting the middle term. Key polynomial identities are presented along with examples of expanding and factorizing polynomial expressions.
HIGHWAY AND TRANSPORT ENGINERING EXAM AND ANSWER-2HIGHWAY AND TRANSPORT ENGINERING EXAM AND ANSWER-2HIGHWAY AND TRANSPORT ENGINERING EXAM AND ANSWER-2HIGHWAY AND TRANSPORT ENGINERING EXAM AND ANSWER-2HIGHWAY AND TRANSPORT ENGINERING EXAM AND ANSWER-2HIGHWAY AND TRANSPORT ENGINERING EXAM AND ANSWER-2HIGHWAY AND TRANSPORT ENGINERING EXAM AND ANSWER-2
This document discusses the existence and uniqueness of renormalized solutions to a nonlinear multivalued elliptic problem with homogeneous Neumann boundary conditions and L1 data. Specifically, it considers the problem β(u) - div a(x, Du) ∋ f in Ω, with a(x, Du).η = 0 on ∂Ω, where f is an L1 function. It provides definitions of renormalized solutions and entropy solutions. The main result is the existence and uniqueness of renormalized solutions to this problem, which is proved using a priori estimates and a compactness argument with doubling of variables.
This document discusses the existence and uniqueness of renormalized solutions to a nonlinear multivalued elliptic problem with homogeneous Neumann boundary conditions and L1 data. Specifically, it considers the problem β(u) - div a(x, Du) ∋ f in Ω, with a(x, Du).η = 0 on ∂Ω. It defines renormalized solutions and entropy solutions for this problem. The main result is that under certain assumptions on the data, there exists a unique renormalized solution to the problem. The proof uses approximate methods, showing existence and uniqueness for a penalized approximation problem, and passing to the limit.
International Journal of Engineering Research and Applications (IJERA) aims to cover the latest outstanding developments in the field of all Engineering Technologies & science.
International Journal of Engineering Research and Applications (IJERA) is a team of researchers not publication services or private publications running the journals for monetary benefits, we are association of scientists and academia who focus only on supporting authors who want to publish their work. The articles published in our journal can be accessed online, all the articles will be archived for real time access.
Our journal system primarily aims to bring out the research talent and the works done by sciaentists, academia, engineers, practitioners, scholars, post graduate students of engineering and science. This journal aims to cover the scientific research in a broader sense and not publishing a niche area of research facilitating researchers from various verticals to publish their papers. It is also aimed to provide a platform for the researchers to publish in a shorter of time, enabling them to continue further All articles published are freely available to scientific researchers in the Government agencies,educators and the general public. We are taking serious efforts to promote our journal across the globe in various ways, we are sure that our journal will act as a scientific platform for all researchers to publish their works online.
The document provides an introduction to partial differential equations (PDEs). Some key points:
- PDEs involve functions of two or more independent variables, and arise in physics/engineering problems.
- PDEs contain partial derivatives with respect to two or more independent variables. Examples of common PDEs are given, including the Laplace, wave, and heat equations.
- The order of a PDE is defined as the order of the highest derivative. Methods for solving PDEs through direct integration and using Lagrange's method are briefly outlined.
Advanced Engineering Mathematics Solutions Manual.pdfWhitney Anderson
This document contains 27 multi-part exercises involving differential equations. The exercises cover topics such as determining whether differential equations are linear or nonlinear, solving differential equations, and classifying differential equations by order.
This document discusses series solutions near regular singular points of differential equations. It begins by deriving the recurrence relation for the series coefficients from substituting a power series solution into the differential equation. It then shows how to obtain the indicial equation and exponents at the singular point. Two series solutions are given corresponding to the two exponents. An example problem finds the singular points, exponents, and series solutions for a given third order differential equation.
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
हिंदी वर्णमाला पीपीटी, hindi alphabet PPT presentation, hindi varnamala PPT, Hindi Varnamala pdf, हिंदी स्वर, हिंदी व्यंजन, sikhiye hindi varnmala, dr. mulla adam ali, hindi language and literature, hindi alphabet with drawing, hindi alphabet pdf, hindi varnamala for childrens, hindi language, hindi varnamala practice for kids, https://www.drmullaadamali.com
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
1. Analytical Methods for Solving Higher
Order Ordinary Differential Equation.
Rabbiya Ahmed
Reg: CIIT/SP19-BSM-013/ATK
Supervised By :Dr Maimona Rafiq
Department of Mathematics
COMSATS University Islamabad,
Attock Campus
1 / 23
2. Outlines
• Introduction
• Self-adjoint Method for Solving Higher Order ODEs
• Integrating Factor Technique for Solving Higher Order ODEs
• References
2 / 23
3. Introduction
Definition 1.
A differential equation containing the derivatives (some finite
number of derivatives ) of one or more dependent variables, with
respect to one or more independent variables, is said to be a
differential equation.
Differential equations are classified into two main parts :
1. Ordinary Differential Equations.
2. Partial Differential Equations.
Definition 2.
If an equation contains only ordinary derivatives of one or more
dependent variables with respect to a single independent variable,
it is said to be an ordinary differential equation (ODE).
3 / 23
4. Introduction
Example 3.
dy
dx + 5y = ex
Definition 4.
An equation involving partial derivatives of one or more dependent
variables with respect to two or more independent variables is
called a partial differential equation.
Example 5.
∂2u
∂x2 + ∂u
∂y = 0
4 / 23
5. Introduction
Definition 6.
A solution of a differential equation is a function that satisfies the
equation. When you substitute the function into the differential
equation, you get a true mathematical statement.
Definition 7.
An initial value problem is a problem which seeks to determine a
solution to a differential equation subject to conditions on the
unknown function and its derivative specified at one value of the
independent variable.
5 / 23
6. Introduction
Definition 8.
A boundary value problem is a problem which seeks to determine a
solution to a differential equation subject to conditions on the
unknown function specified at two or more values of the
independent variable..
Definition 9.
A differential equation Ly = 0 is said to be a self adjoint operator
if the operator L is self adjoint. Thus we have,
Ly = a0yn + a′
0y′ + a2y = (a0y′)′ + a2y
6 / 23
7. Higher Order ODEs in the Self-Adjoint Form
Second Order ODEs in the Self-Adjoint Form
Consider the second order ODE:
p0(x)u′′
(x) + p1(x)u′
(x) + p2(x)u(x) = 0. (1)
Suppose we have an operator L defined as
L = p0(x)
d2
dx2
+ p1(x)
d
dx
+ p2(x). (2)
Using the substitution p′
0 = p1, we can rewrite Label (1) as
L̃u =
d2
dx2
(p0u) −
d
dx
(p1u) + p2u = 0. (3)
For a given operator L, there exists a corresponding operator L,
known as the adjoint operator associated with L. If the condition 7 / 23
8. Second Order ODE’s in the Self-Adjoint Form
Definition 10.
A second order ODE (1) is said to be in the self-adjoint form if and
only if:
Lu = Lu =
d
dx
p0u′
+ p2u = 0,
where p0(x) 0 on (a, b), p′
0(x), ant p2(x) are continuous
functions on [a, b] and condition and
p′
0 = p1
is satisfied.
8 / 23
9. Theorem 11.
If a second order self-adjoint ODE
d
dx
(p0(x)u′
) + p2(x)u = 0
verifies the condition
p2(x) =
p0
′′
2
−
p0
′2
4p0
then the solution to equ is:
u(x) =
1
p
(p0(x)
(C1(x) + C0)
where C1 and C2 are arbitrary constants.
9 / 23
10. Example
Consider the order ODE
d
dx
x
2
y′
+
1
2x
y
′
−
1
8
x
y′
+
1
2x
y
= 0
substitute v = y′ + 1
2x y
Thus
d
dx
hx
2
v′
i
−
1
8x
v = 0
Now Comparing with this equ
d
dx
P0(x)u′
+ P2(x)u
P0(x) =
x
2
and P2(x) = −
1
8x
10 / 23
11. P2(x) =
P′′
0
2
−
P′
0
4P0
= 0 −
1
4
= −
1
4x
(5)
so the solution is
v(x) = c3
√
x +
c4
√
x
(6)
y′
+
1
2x
y = c3
√
x +
c4
√
x
(7)
11 / 23
12. Third Order ODE in Self-adjoint Form
Definition 12.
A third order ODE is said to be in the self-adjoint form if and only
if:
Ly = Ly = roy′
′′
+ (q(x)y)′
+ p(x)y = 0.
where r0(x) 0 and conditions
r1(x) = 2r′
0(x), q(x) = r2(x) − r′′
0 (x), p(x) = r3(x) − q′
(x).
are satisfied.
12 / 23
13. Theorem 13.
If a third order self-adjoint ODE
r(x)y′
′′
+ (q(x)y)′
+ p(x)y = 0
verifies the conditions q = r′′ − 2
3r (r′)2
and
p = −r′′
3 + 2
3r′r′′ − 10
27r2 (r′)3
, then the solution of third order
self-adjoint ODE is
y(x) =
1
3
p
r2(x)
C1x2
+ C2x + C3
where r(x) 0, p(x), q(x) are continuous differentiable functions,
and C1, C2, C3 are arbitrary constants.
13 / 23
14. Example 14.
Consider a third order ODE
x2
y′
′′
+
−
2
3
y
′
+
−
8
27x
y = 0.
where r(x) = x2. Now, we check the conditions of Theorem 13 to
solve the given ODE :
q = r′′
−
2
3r
r′
2
= −
2
3
,
and p = −
r′′′
3
+
2
3r
r′
r′′
−
10
27r2
r′
3
= −
8
27x
.
We observe that the conditions are satisfied, hence we can obtain
the analytic solution from Theorem 13 as:
y(x) =
1
3
√
x4
C1x2
+ C2x + C3
14 / 23
15. Integrating Factor techniques for Solving Higher Order
ODEs
Integrating Factor Technique for Third Order ODE
Theorem 15.
Given
y′′′
+ P(x)y′′
+ Q(x)y′
+ R(x)y = f (x),
if we know a solution to the associated integrating factor equation
u′′′
− Pu′′
+ Q − 2P′
u′
+ Q′
− P′′
− R
u = 0
or, alternatively, a solution to
y′′′
+ 2Py′′
+ P′
+ P2
+ Q
y′
+ Q′
− R + QP
y = 0,
then we can find a particular solution to third order ODE.
15 / 23
16. Example
Consider the third order ODE
u′′′
+ x2
u′′
+ 6xu′
+ 6u = 0. (8)
One solution for above equation is u1 = x2e−x3/3
and another solution is
u2 = x2e−x3/3
R x3/3
52 dx.
Comparing Theorem 15 integrating factor equation by given ode, we
observe that −P = x2, Q − 2P′ = 6x and Q − P′′ − R = 6. Solving
for P, P′, P′, Q, Q′ and R, the corresponding equation is
y′′′
− x2
y′′
+ 2xy′
− 2y = f (x)
Since
u′
u
= p − b from Theorem 15 proof ,
we can solve for b using u = e−x3/3x2. Thus, u′
u = 2
x − x2 and as
u′u = P − b = −x2 − b solving for b we get b = −2
x .
16 / 23
17. Since a = Q − b′ − b(P − b). replacing b, P, Q and b′, we get
a = 2
x2 . This, replacing u, b and a in [u(y′ + by′ + ay)]′ = uf (x)
and integrating both sides we get:
e−x3/3
x2
y′′
−
2
x′
y′
+
2
x2
y
=
Z
e−x3/3
x2
f (x)dx.
Suppose f (x) = c, then
e−x3/3
x2
y′′
−
2
x
y′
+
2
x2
y
= −ce−x3/3
+ k
and we have that:
y′′
−
2
x
y′
+
2
x2
y = −
c
x2
+ k
ex3/3
x2
To find a solution for this last equation, we use Euler for the howogen-
tous equation y′′ − 2
x y + 2
x2 y = 0 ar
x2
y′′
− 2xy′
+ 2y = 0. (9)
17 / 23
18. Setting y = xr , we get the fundamental solutions to be y1 = x2 and
y2 = x. Hence, the general solution for the homogeneous part is
yh = c1x2 + c2x. To find a particular solution, we divide the above
equation by x2
y′′
−
2
x
y′
+
2
x2
y = g(x) (10)
with g(x) = − c
x2 + k c3/3
x2 . Using one of the fundamental solutions
for example y = x, since b = −y
y , then, from Equation,
u y′
+ by
′
= ug(x). (11)
We know that u′
u = P − b, where in this case from above equation,
P = −2
x and b = −y′
y = −1
x . Thus, u′
u = −1
x , hence u = x−1.
Thus, replacing u and b into above equation, we have.
x−1
y′
+
−
1
x
y
′
=
1
x
g(x), then
1
x
y′
−
1
x
y
=
Z
1
x
g(x)dx+k
and, for this last equation, we obtain the solution by using the first
degree order integrating factor technique. 18 / 23
19. Integrating Factor techniques for solving fourth order
ODE
Theorem 16.
Given the equation:
y(4)
+ Py′′′
+ Qy′′
+ Ry′
+ Wy = f (x). (12)
If we know one solution of either
u(4)
− Pu′′′
+ u′′
Q − 3P′
+ u′
2Q′
− 3P′′
− R
+ u W + Q′′
− P′′
− R′
= 0
y(4)
+ 3Py′′
+ 3P′
+ 3P2
+ Q
y′′
+ P′′
+ 3P′
P + 2Q′
− R + 2PQ + P3
y′
+ −R′
− PR + P2
Q + P′
Q + Q′′
+ 2Q′
P + W
y = 0
19 / 23
20. Example
Consider the fourth order ODE
y(4)
− x2
y′′
+ 3xy′′
− 6y′
+
6
x
y = f (x)
In this example, we hate P = −x2, Q = 3x, R = −6 and W = 6
x .
Therefore, −P = x2, Q − 3P′ = 9x, 2Qr − 3Pv − R = 18 and
W + Qn − pw − Rr = 6
x . Hence,
u(4)
−Pu′′′
+u′′
Q − 3P′
+u′
2Q′
− 3P′′
− R
+u W + Q′′
− P′′′
− R′
would be
u(4)
− x2
u′′′
+ u′′
(9x) + u′
(18) + u
6
x
= 0.
One solution of this equation is u = x3e−x3/3. Replacing u′
u = 3
x −x2
and since u′
u = P − b, then u′
u = −x2 − b. Therefore, b = −3
x and
as a = Q − b(P − b) − b, this means a = 6
x2 . In addition, since
c = R − a′ − a(P − b), it implies that c = − 6
x3 . Then, following
20 / 23
21. Replacing u, a, b and c into the above equation and integrating we
have:
x3
e−x3/3
y′′
−
3
x
y′
+
6
x2
y′
−
6
x3
y
=
Z
x3
e−x3/3
f (x)dx (14)
To find this solution, we first note that y′′′ − 3
x y′′ + 6
x2 y′ − 6
x3 y = 0
can be converted to an Euler equation
x3
y′′′
− 3x2
y′
+ 6xy′
− 6y = 0
Setting y = xr , we obtain y1 = x, y2 = x2 and y3 = x3 fo be the
solutions of the third order ODE
y′′
−
3
x
y′′
+
6
x2
y′
−
6
x3
y.
Thus, we can solve for (14) by using the same methodology as we
did with degree 3.
21 / 23