Abstract: This paper presents the Adomian Decomposition Method for the solution of second order linear and first order non-linear differential equations with the initial conditions and hence comparison of Adomian solution with exact solution for the second order linear differential equation. It is important to note that a large amount of research work has been devoted to the application of the Adomian decomposition method to a wide class of linear, nonlinear ordinary and partial differential equations .The adomian decomposition method provides the solution as an infinite series in which each term can be easily determined. A key notation is the adomian polynomials, which are tailored to the particular nonlinearity to solve nonlinear operator …show more content…
Introduction: Most of the engineering problems are nonlinear and therefore some of them are solved using numerical methods and some are solved using the different analytic methods. One of semi-exact methods which does not need linearization or discretization is Adomian Decomposition Method (ADM) [see Bellman and Adomian [1];Adomian(1994)]. .The objective of the decomposition method is to make physically realistic solutions of complex systems without the usual modeling and solution compromises to achieve tractability. This method is a powerful technique, which provides an efficient algorithm for analytic approximate solutions and numeric simulations for real-world applications in the applied science and engineering, particularly in the practical solution of the linear or nonlinear and deterministic or stochastic operator equations, including ordinary and partial differential equation, integral equations, integro-differential equations, etc. Adomian decomposition method has been employed by Gejji and Jafari [2] to obtain solutions of a system of fractional differential equations and also discussed the convergence of the method.
2 .Adomian Decomposition Method (ADM) :
Consider the equation Fy(x)=g(x) , where F represents a general nonlinear ordinary or partial differential operator including both linear and nonlinear terms .The linear terms are decomposed intoL+R , where L is easily invertible (usually the highest order derivative) and R is the remained of the linear operator.
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Considering these components solution can be approximated as y(x)=∑_(n=0)^∞▒y_n =y_0+y_1+y_2+y_3+⋯ y(x)=x^3/3+x^7/63+(2x^11)/2079+⋯ This is the solution of taken non linear differential equation. The accuracy of ADM solution increases by increasing the number of terms.
4. Conclusion: It was observed that solutions of the first order linear and second order nonlinear differential equations with initial conditions are obtained by the powerful and efficient Adomian decomposition method. Also, we compared the Adomian solution of the linear differential equation with exact solution, it shows that adomian solution is very close to exact solution. Better accuracy can be obtained for the adomian solution by accommodating more terms in our decomposition series.
References:
1. Bellman, R.E.,Adomian, G.:Partial Differential Equations: New Methods for their Treatment and Solution. D. Reidal, Dordrecht(1985) .
2. Gejji, V.D.,Jafari,H.: Adomian Decomposition: A Tool for Solving a System of Fractional Differential Equations.J.Math.Anal.Appl.301(2),508-518(2005).
3. G. Nhawu, p. Mafuta, J. Mushanyu.: The Adomian Decomposition Method for Numerical Solution of First Order Differential
onvergence of Adaptive Noise Canceller '); legend( 'Measured Signal ', 'Error Signal '); subplot(3,3,6); plot(t,e, 'r '); hold on; plot(t,fhb, 'b '); axis([Time-4 Time -0.5 0.5]); grid on; xlabel( 'Time [sec] '); ylabel( 'Voltage [mV] '); title( 'Steady-State Error Signal '); legend( 'Calc Fetus ', 'Ref Fetus ECG '); filt_e = filter(Hd,e); subplot(3,3,7); plot(t,fhb, 'r '); hold on; plot(t,filt_e, 'b '); axis([Time-4 Time -0.5 0.5]); grid on; xlabel( 'Time [sec] '); ylabel( 'Voltage [mV] '); title( 'Filtered signal '); legend( 'Ref Fetus ', 'Filtered Fetus '); thresh = 4*mean(abs(filt_e))*ones(size(filt_e)); peak_e = (filt_e >= thresh); edge_e = (diff([0; peak_e]) >0); subplot(3,3,8); plot(t,filt_e, 'c '); hold on; plot(t,thresh, 'r '); plot(t,peak_e, 'b '); xlabel( 'Time [sec] '); ylabel( 'Voltage [mV] '); title( 'Peak detection '); legend( 'Filtered fetus ', 'Dyna thresh ', 'Peak marker ', 'Location ', 'SouthEast '); axis([Time-4 Time -0.5 0.5]); subplot(3,3,9); plot(t,filt_e, 'r '); hold on; plot(t,edge_e, 'b '); plot(0,0, 'w '); fetus_calc = round((60/length(edge_e(16001:end))*Fs) * sum(edge_e(16001:end))); fetus_bpm = [ 'Fetus Heart Rate = ' mat2str(fetus_calc)]; xlabel( 'Time [sec] '); ylabel( 'Voltage [mV] '); title( 'Reconstructed fetus
Let $x(t)=(x_1(t),\ldot,x_n(t))$ be the concentration of the species on the instant $t$. Consider the representation of a chemical reaction network in terms of differential equations, \begin{equation} \frac{dx_i}{xt} = f_i(x), \:\:i=1,\ldot\n \end{equation} The point of interest is to determine if the system admits multiple positive steady states. Therefore, figure if the following equation admits more than one strictly positive solution, \begin{equation} f_i(x)=0, \:\:i=1,\ldot\n. \end{equation} Consider the matrices $A$ and $V$, and the parameters $\kappa$, that correspond to the constant rates of the reactions, such that $$f(x) = A(\kappa\circ x^V).$$ The method implemented uses this representation of the polynomial map $f$ and infers
Cycle 1 Review Sheet, Part 1 25 August 2014 From time to time this semester I will hand out a “review sheet” which is a condensed summary of what I consider some of the more important topics and key concepts from the lectures. Remember in this class, the lectures define the range of content that you are responsible for, not the text. This is especially pertinent because of the cyclical nature of the class. If I indicate a point here in a review sheet this means that this is something I want to emphasize. 1-D Kinematics: Definitions: vave ≡ ∆x ∆t
This work has proven to be extremely educational to readers, used as a reference in order to achieve their own analytical studies through the techniques
I am writing to you in support of Toye Adefioye. Toye Adefioye shadowed me at Daughters of Miriam, a skilled nursing facility in Clifton, New Jersey, from 08/2013 to 06/2014 for over 1500 hours. Toye observed me while I provide therapy to patients of various diagnoses; diagnoses such as general orthopedic, neurological, cardiovascular, wound management, geriatrics, and so on. During this time, He was able to recognize and differentiate facts, and distinguish relevant from irrelevant information.
From my experience with Adelante I learned that the assistance with the Education of Latino student’s is vital, not only for them, but for their future. Adelante taught me that the Hispanic community needs more help than what they are given in regards to the education of their children. From my experience with Adelante I learned that the assistance with the Education of Latino student’s is vital, not only for them, but for their future. Adelante taught me that the Hispanic community needs more help than what they are given in regards to the education of their children.
The Rogerian outline of an essay creates an effective argument in the aspect that it acknowledges two opposing viewpoints of the matter in an unbiased way. By doing this, the author is able to let the reader understand other perspectives towards the topic, without offending or disregarding their stance.. Creating a compromise, or a common ground, between the two lets the audience shift from their original views and expand their thoughts. This way of formatting an argument is useful when discussing emotional topics. If arguing for animal testing, for example, it would benefit the author if they used the Toulmin method because it is so controversial and emotional, seeing that it deals with the lives of living creatures.
Ada and Minnda Everleigh, and the Everleigh Club Concern for women grew in the 1900’s as they went out in search for work in the big city of Chicago, Illinois. Many jobs were not available to them, but there was a particular industry growing that was an easy target for these women: prostitution. Jane Addams writes, “Never before in civilization have such numbers of young girls been suddenly released from the protection of the home and permitted to walk unattended upon the city streets and to work under alien roofs” (….). A PBS article, Minna (1878-1948), Ada Lester (1876-1960), and the Everleigh Club gives a close examination of a popular Chicago brothel ran by two sisters known as the Everleigh club, which was the place to be during the
In criminology, differential association is a theory developed by Edwin Sutherland proposing that through interaction with others, individuals learn the values, attitudes, techniques, and motives for criminal behavior. The differential association theory is the most talked about of the learning theories of deviance. (DAT). (Sutherland) (Sociological Theories of Crime and Their Explanation on Crime , 2007) Theories of criminality are most commonly derived from human behavior.
He put forward about the integration approach. Integration
This section show the Recreation idea of differential association. This is because S. helped teach Ken about Ketamine and in doing so talked him in to trying it for sure. In this way Ken’s taking of ketamine was learned form the people around him who assured him it was safe and he had nothing to worry about. 4. “He gradually came to realize that John was using him as a drug connection for what had become a daily or multiple daily use of ketamine.”
Explaining the differential theory further, “imagine a child growing up in a home where the parents routinely engaged in criminal acts. The child would grow up assuming that these acts may not
Differential reinforcement is the fact that rewards and disciplines shape behavior. High crime rates are an continuous problem in our inner cities, however the cause and reasoning behind crime has yet to be totally recognized. Ronald Akers believed that criminality is a behavior that is learned based on
The hydrolysis formed salicylic concentration which was mixed with iron(III) solution to form a purple complex. This was then use to study under the UV/Visible absorption spectroscopy which gave absorbance values recorded at 525nm to determine the concentration of salicylic acid using the Beer Lambert’s Law and later corrected to find the actual concentrations. The concentrations of aspirin at various intervals was found from salicylic concentrations. Upon plotting a graph of ln(aspirin) vs time, it produced a linear equation from which the gradient gave the rate constant of 0.0083min-1 and the overall shape of the graph concluding this reaction to be pseudo first order with respect to the concentration of aspirin with the deviations and improvements as
Differential Association Theory is a criminology theory that looks at the acts of the criminal as learned behaviors. Edwin H. Sutherland is accredited with the development of the Differential Association theory in 1939. Sutherland, a sociologist, and professor most of his life, developed Differential Association theory to explain how it was that criminals came to commit acts of deviant behavior. Under the differential association theory, there is no biological or genetic basis for criminal behavior. The learning of such behavior took place within a group already knowledgeable about and engaged in criminal behavior.