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Goiriena De Gandarias and Gonzalo A. Garcia",authors:[{id:"48962",title:"Dr.",name:"Gonzalo",middleName:"A.",surname:"Garcia",fullName:"Gonzalo Garcia",slug:"gonzalo-garcia"},{id:"58914",title:"Dr.",name:"Begoña",middleName:null,surname:"Gavilanes-Miranda",fullName:"Begoña Gavilanes-Miranda",slug:"begona-gavilanes-miranda"},{id:"59593",title:"Prof.",name:"Juan J.",middleName:null,surname:"Goiriena De Gandarias",fullName:"Juan J. Goiriena De Gandarias",slug:"juan-j.-goiriena-de-gandarias"}]},{id:"40117",title:"Influence of Different Strategies of Treatment Muscle Contraction and Relaxation Phases on EMG Signal Processing and Analysis During Cyclic Exercise",slug:"influence-of-different-strategies-of-treatment-muscle-contraction-and-relaxation-phases-on-emg-signa",signatures:"Leandro Ricardo Altimari, José Luiz Dantas,\nMarcelo Bigliassi, Thiago Ferreira Dias Kanthack, Antonio Carlos de Moraes and Taufik Abrão",authors:[{id:"151453",title:"Dr.",name:"Leandro",middleName:null,surname:"Altimari",fullName:"Leandro Altimari",slug:"leandro-altimari"},{id:"151454",title:"Dr.",name:"Taufik",middleName:null,surname:"Abrão",fullName:"Taufik Abrão",slug:"taufik-abrao"},{id:"151456",title:"Dr.",name:"Antonio C.",middleName:null,surname:"Moraes",fullName:"Antonio C. Moraes",slug:"antonio-c.-moraes"},{id:"151457",title:"MSc.",name:"José L.",middleName:null,surname:"Dantas",fullName:"José L. Dantas",slug:"jose-l.-dantas"},{id:"151458",title:"MSc.",name:"Marcelo",middleName:null,surname:"Bigliassi",fullName:"Marcelo Bigliassi",slug:"marcelo-bigliassi"},{id:"151460",title:"MSc.",name:"Thiago F. D.",middleName:null,surname:"Kanthack",fullName:"Thiago F. D. Kanthack",slug:"thiago-f.-d.-kanthack"}]},{id:"40114",title:"Nonlinear Analysis of Surface EMG Signals",slug:"nonlinear-analysis-of-surface-emg-signals",signatures:"Min Lei and Guang Meng",authors:[{id:"151307",title:"Dr.",name:"Min",middleName:null,surname:"Lei",fullName:"Min Lei",slug:"min-lei"}]},{id:"40113",title:"Normalization of EMG Signals: To Normalize or Not to Normalize and What to Normalize to?",slug:"normalization-of-emg-signals-to-normalize-or-not-to-normalize-and-what-to-normalize-to-",signatures:"Mark Halaki and Karen Ginn",authors:[{id:"151305",title:"Prof.",name:"Karen",middleName:null,surname:"Ginn",fullName:"Karen Ginn",slug:"karen-ginn"},{id:"153880",title:"Dr.",name:"Mark",middleName:null,surname:"Halaki",fullName:"Mark Halaki",slug:"mark-halaki"}]},{id:"40123",title:"The Usefulness of Mean and Median Frequencies in Electromyography Analysis",slug:"the-usefulness-of-mean-and-median-frequencies-in-electromyography-analysis",signatures:"Angkoon Phinyomark, Sirinee Thongpanja, Huosheng Hu, Pornchai Phukpattaranont and Chusak Limsakul",authors:[{id:"51537",title:"Dr.",name:"Pornchai",middleName:null,surname:"Phukpattaranont",fullName:"Pornchai Phukpattaranont",slug:"pornchai-phukpattaranont"},{id:"64434",title:"Dr.",name:"Angkoon",middleName:null,surname:"Phinyomark",fullName:"Angkoon Phinyomark",slug:"angkoon-phinyomark"},{id:"69653",title:"Dr.",name:"Chusak",middleName:null,surname:"Limsakul",fullName:"Chusak Limsakul",slug:"chusak-limsakul"},{id:"80399",title:"Dr.",name:"Huosheng",middleName:null,surname:"Hu",fullName:"Huosheng Hu",slug:"huosheng-hu"},{id:"151337",title:"BSc.",name:"Sirinee",middleName:null,surname:"Thongpanja",fullName:"Sirinee Thongpanja",slug:"sirinee-thongpanja"}]},{id:"40163",title:"Feature Extraction Methods for Studying Surface Electromyography and Kinematic Measurements in Parkinson’s Disease",slug:"feature-extraction-methods-for-studying-surface-electromyography-and-kinematic-measurements-in-parki",signatures:"Saara M. Rissanen, Markku Kankaanpää,\nMika P. Tarvainen and Pasi A. Karjalainen",authors:[{id:"121674",title:"Dr.",name:"Mika",middleName:null,surname:"Tarvainen",fullName:"Mika Tarvainen",slug:"mika-tarvainen"},{id:"121675",title:"Prof.",name:"Pasi",middleName:null,surname:"Karjalainen",fullName:"Pasi Karjalainen",slug:"pasi-karjalainen"},{id:"151355",title:"Ph.D.",name:"Saara",middleName:null,surname:"Rissanen",fullName:"Saara Rissanen",slug:"saara-rissanen"},{id:"155991",title:"Dr.",name:"Markku",middleName:null,surname:"Kankaanpää",fullName:"Markku Kankaanpää",slug:"markku-kankaanpaa"}]},{id:"40120",title:"Distinction of Abnormality of Surgical Operation on the Basis of Surface EMG Signals",slug:"distinction-of-abnormality-of-surgical-operation-on-the-basis-of-surface-emg-signals",signatures:"Chiharu Ishii",authors:[{id:"17150",title:"Prof.",name:"Chiharu",middleName:null,surname:"Ishii",fullName:"Chiharu Ishii",slug:"chiharu-ishii"}]},{id:"40162",title:"EMG Decomposition and Artefact Removal",slug:"emg-decomposition-and-artefact-removal",signatures:"Adriano O. Andrade, Alcimar B. Soares, Slawomir J. Nasuto and Peter J. Kyberd",authors:[{id:"144937",title:"Dr.",name:"Adriano",middleName:null,surname:"Andrade",fullName:"Adriano Andrade",slug:"adriano-andrade"},{id:"159830",title:"Dr.",name:"Alcimar",middleName:null,surname:"Soares",fullName:"Alcimar Soares",slug:"alcimar-soares"},{id:"159831",title:"Dr.",name:"Slawomir",middleName:null,surname:"Nasuto",fullName:"Slawomir Nasuto",slug:"slawomir-nasuto"},{id:"159832",title:"Prof.",name:"Peter",middleName:null,surname:"Kyberd",fullName:"Peter Kyberd",slug:"peter-kyberd"}]},{id:"40109",title:"Sphincter EMG for Diagnosing Multiple System Atrophy and Related Disorders",slug:"sphincter-emg-for-diagnosing-multiple-system-atrophy-and-related-disorders",signatures:"Ryuji Sakakibara, Tomoyuki Uchiyama, Tatsuya Yamamoto, Fuyuki Tateno, Tomonori Yamanishi, Masahiko Kishi and Yohei Tsuyusaki",authors:[{id:"151609",title:"Dr.",name:"Ryuji",middleName:null,surname:"Sakakibara",fullName:"Ryuji Sakakibara",slug:"ryuji-sakakibara"}]},{id:"40119",title:"Hand Sign Classification Employing Myoelectric Signals of Forearm",slug:"hand-sign-classification-employing-myoelectric-signals-of-forearm",signatures:"Takeshi Tsujimura, Sho Yamamoto and Kiyotaka Izumi",authors:[{id:"57769",title:"Prof.",name:"Takeshi",middleName:null,surname:"Tsujimura",fullName:"Takeshi Tsujimura",slug:"takeshi-tsujimura"}]},{id:"40110",title:"Proposal of a Neuro Fuzzy System for Myoelectric Signal Analysis from Hand-Arm Segment",slug:"proposal-of-a-neuro-fuzzy-system-for-myoelectric-signal-analysis-from-hand-arm-segment",signatures:"Gabriela Winkler Favieiro and Alexandre Balbinot",authors:[{id:"150369",title:"Dr.",name:"Alexandre",middleName:null,surname:"Balbinot",fullName:"Alexandre Balbinot",slug:"alexandre-balbinot"},{id:"150370",title:"MSc.",name:"Gabriela",middleName:null,surname:"Favieiro",fullName:"Gabriela Favieiro",slug:"gabriela-favieiro"}]},{id:"40132",title:"Design and Control of an EMG Driven IPMC Based Artificial Muscle Finger",slug:"design-and-control-of-an-emg-driven-ipmc-based-artificial-muscle-finger",signatures:"R.K. Jain, S. Datta and S. Majumder",authors:[{id:"62746",title:"Dr.",name:"Ravi Kant",middleName:null,surname:"Jain",fullName:"Ravi Kant Jain",slug:"ravi-kant-jain"}]},{id:"40122",title:"Application of Surface Electromyography in the Dynamics of Human Movement",slug:"application-of-surface-electromyography-in-the-dynamics-of-human-movement",signatures:"César Ferreira Amorim and Runer Augusto Marson",authors:[{id:"150135",title:"Ph.D.",name:"Runer",middleName:"Augusto",surname:"Marson",fullName:"Runer Marson",slug:"runer-marson"},{id:"151438",title:"PhD.",name:"César Ferreira",middleName:null,surname:"Amorim",fullName:"César Ferreira Amorim",slug:"cesar-ferreira-amorim"}]},{id:"40121",title:"Virtual and Augmented Reality: A New Approach to Aid Users of Myoelectric Prostheses",slug:"virtual-and-augmented-reality-a-new-approach-to-aid-users-of-myoelectric-prostheses",signatures:"Alcimar Barbosa Soares, Edgard Afonso Lamounier Júnior, Adriano de Oliveira Andrade and Alexandre Cardoso",authors:[{id:"144937",title:"Dr.",name:"Adriano",middleName:null,surname:"Andrade",fullName:"Adriano Andrade",slug:"adriano-andrade"},{id:"151483",title:"Dr.",name:"Alcimar",middleName:"Barbosa",surname:"Soares",fullName:"Alcimar Soares",slug:"alcimar-soares"},{id:"158350",title:"Dr.",name:"Edgard",middleName:null,surname:"Lamounier",fullName:"Edgard Lamounier",slug:"edgard-lamounier"},{id:"158351",title:"Dr.",name:"Alexandre",middleName:null,surname:"Cardoso",fullName:"Alexandre Cardoso",slug:"alexandre-cardoso"}]},{id:"40131",title:"Signal Acquisition Using Surface EMG and Circuit Design Considerations for Robotic Prosthesis",slug:"signal-acquisition-using-surface-emg-and-circuit-design-considerations-for-robotic-prosthesis",signatures:"Muhammad Zahak Jamal",authors:[{id:"151261",title:"B.Sc.",name:"Zahak",middleName:null,surname:"Jamal",fullName:"Zahak Jamal",slug:"zahak-jamal"}]}]}]},onlineFirst:{chapter:{type:"chapter",id:"74271",title:"Solving Second-Order Differential Equations by Decomposition",doi:"10.5772/intechopen.94993",slug:"solving-second-order-differential-equations-by-decomposition",body:'The history of differential equations begins shortly after the establishment of the analysis by Newton and Leibniz in the 17th century. A brief overview of its first hundred years can be found in Appendix A of Ince’s book [1]. These early investigations were mainly limited to first-order equations, associated with the names Riccati, Bernoulli and Euler. Starting in the early 18th century special linear equations of higher order were also investigated.
A more systematic search for solution methods was initiated by the results of Galois for solving algebraic equations in the early 19th century. Inspired by these results, Picard and Pessiot in Paris founded a solution theory for linear differential equations, known as Picard-Vessiot theory or differential Galois theory. A good introduction into their work and its extensions by Loewy may be found in the books [2, 3]. Completely independent of these activities Sophus Lie in Leipzig founded the so-called symmetry analysis for solving nonlinear differential Equations [4, 5]. Its main weaknesses are that most differential equations have no symmetries and therefore it cannot be applied. Furthermore, there are many differential equations with fairly simple closed form solutions that have no symmetries. That was essentially the status in the early twentieth century, which did not fundamentally change until its end.
In this situation, a new solution method based on decompositions was proposed [6]. Essentially a decomposition means to find a component of lower order such that the original equation may be represented as a differential polynomial in terms of this component. Its existence is based on the following observation. Let
Every second-order equation has an infinite number of first-order components corresponding to the choice of
Its meaning may be described as follows. If
Solving a second-order equation by decomposition involves two steps. First a decomposition of a certain type has to be found. Then the first order equation has to be solved in order to get the solutions of the original second-order equation. Of particular interest are those components the solution of which can always be determined. These are linear homogeneous and inhomogeneous components, special Riccati components, Bernoulli, Clairaut or d’Alembert components.
In this article equations of second order for an unknown function
In the following Section 2 equations with leading term
Equations that are linear in the highest derivative
Equations of this form appear in numerous applications, as can be seen in the collections of solved examples quoted above. The following proposition has been proved in [6], it is the basis for generating quasilinear first-order components; as usual
Proposition 1 Let a second-order quasilinear Eq. (2) be given. A first-order component
Then the original second-order equation can be decomposed as
The proof may be found in Section 2 of [6]. As a first application linear first-order components of the form
Proposition 2. Let a second-order quasilinear Eq. (2) be given. In order that it has a linear first-order component
Then (2) may be written as follows
The coefficients
for
Proof. Substituting
It is important to represent the left side of (5) as a partial fraction in
If
Corollary 1 Let
be given. A first-order component
If it is satisfied Eq. (8) may be written as
Proof. The system (9) follows from (5) for the given special values of
It is remarkable that in the case of linear equations the algebraic conditions
For linear homogeneous ode’s, i.e. for
For linear inhomogeneous equations in addition to a fundamental system a special solution has to be found. The above corollary avoids the usual method of variation of constants that somehow appears like an ad hoc method. The method described in the above corollary requires only a special solution of a Riccati equation and subsequently solving a linear first-order equation in order to obtain the general solution of the second-order Eq. (8). The following example applies this procedure.
Example 1 The equation
is Equation 2.109 in Kamke’s collection [7]. Here
Integration yields the general solution
This is also the general solution of Eq. (11).
It may occur that a fundamental system of a second-order equation is rather complicated. Usually this is the case when the Riccati equation for
Example 2 Consider the equation
Here
Its special solution leads to the component
One more integration yields a special solution of (12).
The application of Corollary 1 is particularly convenient if the coefficients
Example 3 The equation
Its general solution
is also the general solution of the given second-order equation.□
The most interesting applications of Proposition 2 relate to nonlinear equations, of course. They differ from the linear case mainly by the occurence of the ideal
At first the algebraic system
If it is inconsistent a linear component does not exist in any field extension. This applies to a generic nonlinear equation of the form (2).
If the ideal
Finally, the algebraic equations may generate a relation between
Subsequently this proceeding will be illustrated by several examples. They show that all of the alternatives mentioned actually exist.
Example 4 Consider the equation
Its coefficients
The single algebraic equation has the solutions
follow. Integration of the two components yields the two one-parameter families
The most interesting, of course, are equations that allow a one-parameter family of linear components and whose integration gives the general solution. The next example is of this type.
Example 5 Consider the equation
with
with solution
is obtained. Integration of the first-order component leads to the general solution
of Eq. (13), it does not have a Lie symmetry.
Here the question arises how exceptional are the equations that have a one-parameter family of linear components of the first order and thus have a general solution in closed form. The following example is a generalization of the previous one. A family of second order equations is constructed whose general solution can be given explicitly.
Example 6 The equation
with undetermined coefficients
The result may be described as follows. If
exists. Defining
This is the general solution of Eq. (14). □
It turns out that a behavior similar to that in the previous example often applies, i.e. first-order linear components often exist not only for isolated equations, but for entire families, which are parameterized by indefinite functions. This explains the existence of families of solvable equations as those given in the collections mentioned above.
Bernoulli equations are another class of first-order ode’s with guaranteed closed form general solutions. In addition to a term linear in
Proposition 3 Let a second-order quasilinear Eq. (2) be given. In order that it has a first-order Bernoulli component
Then (2) may be written as follows
The coefficients
Proof. Substituting
Substitution of
The structure of the system (17) is similar as for linear components considered above, and consequently also the proceeding for its solution. The following examples applies the above proposition.
Example 7 The equation
with
follows. The two equations
This system has the solution
follows. Integrating the right component yields the general solution
of Eq. (18). It does not have a Lie symmetry. □
The next example deals with a problem in hydrodynamics. The boundary layer at a circular cylinder immersed in the uniform flow of liquid is considered [14], see also Eq. 6.210 of [7].
Example 8 The equation
has the only nonvanishing coefficient
It turns out that for
After some simplifications the resulting system for
This is also the general solution of Eq. (20) □
In general it is a priori not known whether there exists a Bernoulli component of any order. If a component for small values of
Example 9 Consider the equation
with
Expanding the last term into unique partial fractions by using the general formula
leads to
The coefficients of the various terms yield a system for the unknowns
At the moment an algorithm for determining bounds for
Another important class of differential equations are those with leading term
Components of Clairaut or d’Alembert type
Proposition 4 Let a second-order differential Eq. (24) be given. A first-order component
where
Proof. Reduction of (24) w.r.t.
The determining system for the two functions
Example 10 Consider the equation
Here
Transforming the left-hand sides into algebraic Gröbner bases in the term order
They lead to the decompositions
respectively. The former decomposition generates a Clairaut component. It yields the solution
Integration of the d’Alembert component
Eq. (26) does not have a Lie symmetry. □
This example shows that solutions of a component must be tested to see if they meet the second order equation, otherwise they have to be discarded; this phenomenon seems to be quite common.
The structure of the determining systems for linear or Bernoulli components of a nonlinear Eq. (2) given in Propositions 2 or 3, respectively, show clearly its relation to the corresponding system for the decomposition of a linear equation. For a generic equation of the second order this appears to be the best possible result. The same applies to the verious solution steps given on page 6. The corresponding result for determining Clairaut and d’Alembert components given in Proposition 4 is less specific. However, it should be possible, to obtain more detailed results if special classes of second-order equations are considered. In general, this area is only at an early stage and a better understanding of the underlying mechanisms generating the solutions and also its limitations would be highly desirable.
There are numerous possible generalizations fairly obvious. On the one hand, this concerns the equations to be solved. More general function fields for its coefficients like e.g. algebraic or elementary functions may be allowed. Equations of order three or four would be interesting in many applications. The greatest challenge however is certainly to develop similar procedures for partial differential equations as it has been indicated in Section 5 of [6].
On the other hand, the component type offers space for extensions too. In principle all equations of first order, as described for example in Kamke’s book [7], Part A, Section 4, are possible components. Components that guarantee at least a partial solution are of course particularly useful, the most important of them have been discussed in this article.
In order to apply decompositions to concrete problems the implementation of the procedures described in this article are available on the website
Beyond that there are a number of general problems related to decompositions. For instance the question how rare are equations that allow a particular decomposition, Example 6 provides a partial answer. If two or more one-parameter families of solution curves are known as in Example 4, does it faciliate generating the general solution? The exact relation between Lie’s symmetry analysis and solution by decompositions is another subject of interest.
Various helpful comments of a referee are gratefully acknowledged.
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