<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">OALibJ</journal-id><journal-title-group><journal-title>Open Access Library Journal</journal-title></journal-title-group><issn pub-type="epub">2333-9705</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/oalib.1102583</article-id><article-id pub-id-type="publisher-id">OALibJ-69181</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject><subject> Business&amp;Economics</subject><subject> Chemistry&amp;Materials Science</subject><subject> Computer Science&amp;Communications</subject><subject> Earth&amp;Environmental Sciences</subject><subject> Engineering</subject><subject> Medicine&amp;Healthcare</subject><subject> Physics&amp;Mathematics</subject><subject> Social Sciences&amp;Humanities</subject></subj-group></article-categories><title-group><article-title>
 
 
  Symmetric Hybrid Linear Multistep Method for General Third Order Differential Equations
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Friday</surname><given-names>Oghenerukevwe Obarhua</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Sunday</surname><given-names>Jacob Kayode</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Department of Mathematical Sciences, Federal University of Technology, Akure, Nigeria</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>obycoach@gmail.com(FOO)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>30</day><month>04</month><year>2016</year></pub-date><volume>03</volume><issue>04</issue><fpage>1</fpage><lpage>8</lpage><history><date date-type="received"><day>31</day>	<month>March</month>	<year>2016</year></date><date date-type="rev-recd"><day>accepted</day>	<month>14</month>	<year>April</year>	</date><date date-type="accepted"><day>18</day>	<month>April</month>	<year>2016</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
   
   A symmetric hybrid linear multistep method for direct solution of general third order ordinary differential equations is considered in this paper. The method is developed by interpolation and collocation approach using a combination of power series and exponential function as basis function. The consistency, stability, order and error constant of the method were determined. The results showed that the method is consistent, zero stable and of order five with low error constant. The accuracy compared favorably over existing methods with higher order of accuracy. 
  
 
</p></abstract><kwd-group><kwd>Symmetric</kwd><kwd> Hybrid Method</kwd><kwd> Exponential Function</kwd><kwd> Interpolation</kwd><kwd> Collocation</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>We consider the direct numerical solution of the general third order initial value problem of the form</p><disp-formula id="scirp.69181-formula1163"><label>(1)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/69181x7.png"  xlink:type="simple"/></disp-formula><p>where <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x8.png" xlink:type="simple"/></inline-formula></p><p>It is worth noting that this problem (1) can be modeled from the physical problems such as the thin film flow of a liquid in fluid dynamics, electromagnetic waves and gravity driven flow. Therefore, this type of problem is conventionally solved by reducing it to system of first order ordinary differential equations. [<xref ref-type="bibr" rid="scirp.69181-ref1">1</xref>] and some other authors pointed out that this type of problem can be solved directly to circumvent the inherent setbacks posed by the conventional method, [<xref ref-type="bibr" rid="scirp.69181-ref2">2</xref>] - [<xref ref-type="bibr" rid="scirp.69181-ref7">7</xref>] . These scholars proposed different methods of various degrees of accuracies using no other approximate basis functions other than power series.</p><p>[<xref ref-type="bibr" rid="scirp.69181-ref8">8</xref>] - [<xref ref-type="bibr" rid="scirp.69181-ref10">10</xref>] independently showed that the direct solution of the general second order initial value problems can be implemented without the need for predictors or starting values from other methods. In their work, they used power series as approximate solution to derive three-step LMM implemented in block modes. [<xref ref-type="bibr" rid="scirp.69181-ref11">11</xref>] investigated and developed a two-point block method in the form of Adams-Moulton type for solving general second order odes directly using variable step size while [<xref ref-type="bibr" rid="scirp.69181-ref5">5</xref>] and [<xref ref-type="bibr" rid="scirp.69181-ref12">12</xref>] proposed a linear multistep method for the direct solution of initial value problems of ordinary differential equations for special third order initial value problem and a hybrid multistep method to solve third order IVPs of ODEs respectively with constant step size. However, [<xref ref-type="bibr" rid="scirp.69181-ref11">11</xref>] developed a two-point four-step block method with variable step-size. In his work, the method was implemented at two points simultaneously in a block using four backward steps. Moreover, these constant and variable step sizes add little or nothing to the accuracy of the results due to the restriction of interpolation points to the order of the problems.</p><p>Recently, [<xref ref-type="bibr" rid="scirp.69181-ref13">13</xref>] and [<xref ref-type="bibr" rid="scirp.69181-ref14">14</xref>] figured out that in search for a method that gives better stability condition, the use of approximate solution which combines power series with exponential function is imperative. Therefore, in this work combination of power series and exponential function was used as basic function in determining a symmetric hybrid linear multistep method for the solution of problem (1) directly.</p></sec><sec id="s2"><title>2. Materials and Methods</title><p>In this work, we considered using a combination of power series and exponential function in the form</p><disp-formula id="scirp.69181-formula1164"><label>(2)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/69181x9.png"  xlink:type="simple"/></disp-formula><p>as the basic function for the development of the method, where c and i represent the number of collocation and interpolation points respectively.</p><p>The differential system of (2) is given as</p><disp-formula id="scirp.69181-formula1165"><label>(3)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/69181x10.png"  xlink:type="simple"/></disp-formula><p>The basis function (2) is interpolated at all selected points <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x11.png" xlink:type="simple"/></inline-formula> and the differential system (3) is collocated at only the grid points, <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x12.png" xlink:type="simple"/></inline-formula>which gave rise to a system of equation of the form</p><disp-formula id="scirp.69181-formula1166"><label>(4)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/69181x13.png"  xlink:type="simple"/></disp-formula><p>where</p><p><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x14.png" xlink:type="simple"/></inline-formula>and</p><disp-formula id="scirp.69181-formula1167"><graphic  xlink:href="http://html.scirp.org/file/69181x15.png"  xlink:type="simple"/></disp-formula><p>Solving (4) for<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x16.png" xlink:type="simple"/></inline-formula>’s, <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x17.png" xlink:type="simple"/></inline-formula>, using Gaussian elimination method and substituting it back into (2) gives a continuous hybrid method of the form</p><disp-formula id="scirp.69181-formula1168"><label>(5)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/69181x18.png"  xlink:type="simple"/></disp-formula><p>Using the transformation, <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x19.png" xlink:type="simple"/></inline-formula>the continuous coefficients <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x20.png" xlink:type="simple"/></inline-formula> and their first and second derivatives are obtained as,</p><disp-formula id="scirp.69181-formula1169"><graphic  xlink:href="http://html.scirp.org/file/69181x21.png"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.69181-formula1170"><label>(6)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/69181x22.png"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.69181-formula1171"><label>(7)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/69181x23.png"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.69181-formula1172"><label>(8)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/69181x24.png"  xlink:type="simple"/></disp-formula><p>Evaluating Equations (6), (7) and (8) at the last end grid point where <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x25.png" xlink:type="simple"/></inline-formula> gives the discrete methods</p><disp-formula id="scirp.69181-formula1173"><label>(9)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/69181x26.png"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.69181-formula1174"><label>(10)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/69181x27.png"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.69181-formula1175"><label>(11)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/69181x28.png"  xlink:type="simple"/></disp-formula><p>The order p and error constants of Equations (9), (10) and (11) are<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x29.png" xlink:type="simple"/></inline-formula>, <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x29.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x30.png" xlink:type="simple"/></inline-formula>, <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x29.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x30.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x31.png" xlink:type="simple"/></inline-formula>, and <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x29.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x30.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x31.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x32.png" xlink:type="simple"/></inline-formula> respectively.</p></sec><sec id="s3"><title>3. Implementation of the Method</title><p>The starting values of the discrete method (9) obtained from (5) for third order problem of ordinary differential equations are generated in predictor-corrector mode of the same order of accuracy. The predictor methods and its derivatives of the same order with the corrector method are obtained using the same outlines discussed above to give</p><disp-formula id="scirp.69181-formula1176"><label>(12)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/69181x33.png"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.69181-formula1177"><label>(13)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/69181x34.png"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.69181-formula1178"><label>(14)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/69181x35.png"  xlink:type="simple"/></disp-formula><p>The order p and error constants of equations (12), (13) and (14) are<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x36.png" xlink:type="simple"/></inline-formula>, <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x36.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x37.png" xlink:type="simple"/></inline-formula>, <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x36.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x37.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x38.png" xlink:type="simple"/></inline-formula>, and <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x36.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x37.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x38.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x39.png" xlink:type="simple"/></inline-formula> respectively.</p><p>Other explicit schemes were developed to evaluate other starting values. Taylor series expansion is adopted for<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x40.png" xlink:type="simple"/></inline-formula>, as <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x40.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x41.png" xlink:type="simple"/></inline-formula> and their first and second derivatives up to order<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x40.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x41.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x42.png" xlink:type="simple"/></inline-formula>.</p><disp-formula id="scirp.69181-formula1179"><label>(15)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/69181x43.png"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.69181-formula1180"><label>(16)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/69181x44.png"  xlink:type="simple"/></disp-formula><p>and</p><disp-formula id="scirp.69181-formula1181"><label>(17)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/69181x45.png"  xlink:type="simple"/></disp-formula></sec><sec id="s4"><title>4. Analysis of the Method</title><sec id="s4_1"><title>4.1. Order and Error Constant of the Method</title><p>In this paper we adopt the method proposed in [<xref ref-type="bibr" rid="scirp.69181-ref16">16</xref>] , with the linear operator</p><disp-formula id="scirp.69181-formula1182"><label>(18)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/69181x46.png"  xlink:type="simple"/></disp-formula><p>and the linear operator L is defined as:</p><disp-formula id="scirp.69181-formula1183"><label>(19)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/69181x47.png"  xlink:type="simple"/></disp-formula><p>where <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x48.png" xlink:type="simple"/></inline-formula> and <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x48.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x49.png" xlink:type="simple"/></inline-formula> are both non-zero and assuming that <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x48.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x49.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x50.png" xlink:type="simple"/></inline-formula> is continuous and differentiable. We can expand (13) by Taylor series expansion about the point x to obtain the expression</p><disp-formula id="scirp.69181-formula1184"><label>(20)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/69181x51.png"  xlink:type="simple"/></disp-formula><p>Therefore, we say that the method has order p if,</p><disp-formula id="scirp.69181-formula1185"><graphic  xlink:href="http://html.scirp.org/file/69181x52.png"  xlink:type="simple"/></disp-formula><p>In this paper, it reveals that the methods (9), (10) and (11) have order<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x53.png" xlink:type="simple"/></inline-formula>, and error constants<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x53.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x54.png" xlink:type="simple"/></inline-formula>, <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x53.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x54.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x55.png" xlink:type="simple"/></inline-formula>and <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x53.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x54.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x55.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x56.png" xlink:type="simple"/></inline-formula> respectively.</p></sec><sec id="s4_2"><title>4.2. Zero Stability</title><p>A linear multistep method (LMM) is said to be zero-stable, if no root of the first characteristic polynomial <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x57.png" xlink:type="simple"/></inline-formula> satisfies <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x57.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x58.png" xlink:type="simple"/></inline-formula> and is simple for<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x57.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x58.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x59.png" xlink:type="simple"/></inline-formula>.</p><p>For our method</p><disp-formula id="scirp.69181-formula1186"><graphic  xlink:href="http://html.scirp.org/file/69181x60.png"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.69181-formula1187"><graphic  xlink:href="http://html.scirp.org/file/69181x61.png"  xlink:type="simple"/></disp-formula><p>Hence our method is zero stable.</p></sec><sec id="s4_3"><title>4.3. Region of Absolute Stability of the Method</title><p>Let us consider the stability polynomial of the linear multistep method defined by <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x62.png" xlink:type="simple"/></inline-formula> and <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x62.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x63.png" xlink:type="simple"/></inline-formula> as</p><p><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x64.png" xlink:type="simple"/></inline-formula>, where <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x64.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x65.png" xlink:type="simple"/></inline-formula> and <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x64.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x65.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x66.png" xlink:type="simple"/></inline-formula> are constants.</p><p>The boundary locus curve is obtained by substituting <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x67.png" xlink:type="simple"/></inline-formula> where<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x67.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x68.png" xlink:type="simple"/></inline-formula>,<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x67.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x68.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x69.png" xlink:type="simple"/></inline-formula>.</p><disp-formula id="scirp.69181-formula1188"><graphic  xlink:href="http://html.scirp.org/file/69181x70.png"  xlink:type="simple"/></disp-formula></sec><sec id="s4_4"><title>4.4. Convergence of the Method</title><p>For a linear multistep method (LMM) to be convergent, the necessary and sufficient conditions are that the method must be consistent and zero-stable, therefore from the analysis, our method is convergent.</p></sec></sec><sec id="s5"><title>5. Numerical Experiments</title><p>To test the effectiveness and the accuracy of the new method, the method is used to solve three test problems below and the results are shown in Tables 1-3.</p><p>Problem 1.</p><disp-formula id="scirp.69181-formula1189"><graphic  xlink:href="http://html.scirp.org/file/69181x71.png"  xlink:type="simple"/></disp-formula><p>Theoretical solution: <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x72.png" xlink:type="simple"/></inline-formula></p><p>Problem 2.</p><disp-formula id="scirp.69181-formula1190"><graphic  xlink:href="http://html.scirp.org/file/69181x73.png"  xlink:type="simple"/></disp-formula><p>Theoretical solution: <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x74.png" xlink:type="simple"/></inline-formula></p><p>Problem 3.</p><disp-formula id="scirp.69181-formula1191"><graphic  xlink:href="http://html.scirp.org/file/69181x75.png"  xlink:type="simple"/></disp-formula><p>Theoretical solution: <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x76.png" xlink:type="simple"/></inline-formula></p><p>Problem 4.</p><disp-formula id="scirp.69181-formula1192"><graphic  xlink:href="http://html.scirp.org/file/69181x77.png"  xlink:type="simple"/></disp-formula><p>Theoretical solution: <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x78.png" xlink:type="simple"/></inline-formula></p></sec><sec id="s6"><title>6. Discussion of Result</title><p>A new two-step symmetric hybrid method of order 5 is proposed for the direct solution of third order differential equations. The maim method and the predictors of same order were derived from the same procedure of collocation and interpolation method. The methods are then applied to on some existing problems and the results were displayed on the Tables 1-4. The errors were compared with those of [<xref ref-type="bibr" rid="scirp.69181-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.69181-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.69181-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.69181-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.69181-ref17">17</xref>] [<xref ref-type="bibr" rid="scirp.69181-ref18">18</xref>] . It was observed from the tables that the new method displayed better accuracy over the existing methods.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> In this example, the numerical solution of our methods of order 5 was compared with the method of [<xref ref-type="bibr" rid="scirp.69181-ref15">15</xref>] and [<xref ref-type="bibr" rid="scirp.69181-ref7">7</xref>] , both are of order 7. This is shown in <xref ref-type="table" rid="table1">Table 1</xref> below</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x79.png" xlink:type="simple"/></inline-formula></th><th align="center" valign="middle" ><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x80.png" xlink:type="simple"/></inline-formula></th><th align="center" valign="middle" ><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x81.png" xlink:type="simple"/></inline-formula></th><th align="center" valign="middle" >Error in [<xref ref-type="bibr" rid="scirp.69181-ref15">15</xref>] , <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x82.png" xlink:type="simple"/></inline-formula></th><th align="center" valign="middle" >Error in [<xref ref-type="bibr" rid="scirp.69181-ref7">7</xref>] , <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x83.png" xlink:type="simple"/></inline-formula></th><th align="center" valign="middle" >Error in new scheme, <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x84.png" xlink:type="simple"/></inline-formula></th></tr></thead><tr><td align="center" valign="middle" >0.1</td><td align="center" valign="middle" >0.00498751665</td><td align="center" valign="middle" >0.00498751611</td><td align="center" valign="middle" >1.189947e−11</td><td align="center" valign="middle" >1.1899e−11</td><td align="center" valign="middle" >5.435179e−10</td></tr><tr><td align="center" valign="middle" >0.2</td><td align="center" valign="middle" >0.01980106362</td><td align="center" valign="middle" >0.01980105884</td><td align="center" valign="middle" >3.042207e−09</td><td align="center" valign="middle" >3.0422e−09</td><td align="center" valign="middle" >4.782887e−09</td></tr><tr><td align="center" valign="middle" >0.3</td><td align="center" valign="middle" >0.04399957220</td><td align="center" valign="middle" >0.04399955584</td><td align="center" valign="middle" >7.779556e−08</td><td align="center" valign="middle" >7.7796e−08</td><td align="center" valign="middle" >1.636583e−08</td></tr><tr><td align="center" valign="middle" >0.4</td><td align="center" valign="middle" >0.07686749200</td><td align="center" valign="middle" >0.07686745364</td><td align="center" valign="middle" >7.746693e−07</td><td align="center" valign="middle" >1.5559e−07</td><td align="center" valign="middle" >3.835626e−08</td></tr><tr><td align="center" valign="middle" >0.5</td><td align="center" valign="middle" >0.11744331765</td><td align="center" valign="middle" >0.11744324468</td><td align="center" valign="middle" >4.599021e−06</td><td align="center" valign="middle" >3.0541e−07</td><td align="center" valign="middle" >7.297179e−08</td></tr><tr><td align="center" valign="middle" >0.6</td><td align="center" valign="middle" >0.16455792104</td><td align="center" valign="middle" >0.16455779966</td><td align="center" valign="middle" >6.478349e−06</td><td align="center" valign="middle" >4.6102e−07</td><td align="center" valign="middle" >1.213719e−07</td></tr><tr><td align="center" valign="middle" >0.7</td><td align="center" valign="middle" >0.21688116071</td><td align="center" valign="middle" >0.21688097720</td><td align="center" valign="middle" >5.783963e−06</td><td align="center" valign="middle" >3.1380e−07</td><td align="center" valign="middle" >1.835106e−07</td></tr><tr><td align="center" valign="middle" >0.8</td><td align="center" valign="middle" >0.27297491043</td><td align="center" valign="middle" >0.27297465236</td><td align="center" valign="middle" >2.354715e−06</td><td align="center" valign="middle" >7.0374e−07</td><td align="center" valign="middle" >2.580628e−07</td></tr><tr><td align="center" valign="middle" >0.9</td><td align="center" valign="middle" >0.33135039275</td><td align="center" valign="middle" >0.33135005032</td><td align="center" valign="middle" >3.766592e−06</td><td align="center" valign="middle" >1.0177e−06</td><td align="center" valign="middle" >3.424319e−07</td></tr><tr><td align="center" valign="middle" >1.0</td><td align="center" valign="middle" >0.39052753185</td><td align="center" valign="middle" >0.39052709902</td><td align="center" valign="middle" >1.233120e−05</td><td align="center" valign="middle" >1.6528e−06</td><td align="center" valign="middle" >4.328374e−07</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> The absolute errors of predictor-corrector method of order five is compared with those of Block methods [<xref ref-type="bibr" rid="scirp.69181-ref12">12</xref>] and [<xref ref-type="bibr" rid="scirp.69181-ref5">5</xref>] </title></caption><table><tbody><thead><tr><th align="center" valign="middle" ><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x85.png" xlink:type="simple"/></inline-formula></th><th align="center" valign="middle" ><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x86.png" xlink:type="simple"/></inline-formula></th><th align="center" valign="middle" ><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x87.png" xlink:type="simple"/></inline-formula></th><th align="center" valign="middle" >Error in [<xref ref-type="bibr" rid="scirp.69181-ref12">12</xref>] , <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x88.png" xlink:type="simple"/></inline-formula></th><th align="center" valign="middle" >Error in [<xref ref-type="bibr" rid="scirp.69181-ref5">5</xref>] , <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x89.png" xlink:type="simple"/></inline-formula></th><th align="center" valign="middle" >Error in new scheme, <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x90.png" xlink:type="simple"/></inline-formula></th></tr></thead><tr><td align="center" valign="middle" >0.1</td><td align="center" valign="middle" >3.12517091807</td><td align="center" valign="middle" >3.12517091802</td><td align="center" valign="middle" >7.56479e−11</td><td align="center" valign="middle" >0.000000000e+00</td><td align="center" valign="middle" >4.65668e−11</td></tr><tr><td align="center" valign="middle" >0.2</td><td align="center" valign="middle" >3.30140275816</td><td align="center" valign="middle" >3.30140275774</td><td align="center" valign="middle" >1.83983e−09</td><td align="center" valign="middle" >0.000000000e+00</td><td align="center" valign="middle" >4.22858e−10</td></tr><tr><td align="center" valign="middle" >0.3</td><td align="center" valign="middle" >3.52985880758</td><td align="center" valign="middle" >3.52985880606</td><td align="center" valign="middle" >4.42400e−09</td><td align="center" valign="middle" >1.000000083e−09</td><td align="center" valign="middle" >1.51196e−09</td></tr><tr><td align="center" valign="middle" >0.4</td><td align="center" valign="middle" >3.81182469764</td><td align="center" valign="middle" >3.81182469390</td><td align="center" valign="middle" >1.03587e−08</td><td align="center" valign="middle" >1.000000083e−09</td><td align="center" valign="middle" >3.73730e−09</td></tr><tr><td align="center" valign="middle" >0.5</td><td align="center" valign="middle" >4.14872127070</td><td align="center" valign="middle" >4.14872126313</td><td align="center" valign="middle" >1.12999e−08</td><td align="center" valign="middle" >1.000000083e−09</td><td align="center" valign="middle" >1.35178e−08</td></tr><tr><td align="center" valign="middle" >0.6</td><td align="center" valign="middle" >4.54211880039</td><td align="center" valign="middle" >4.54211878687</td><td align="center" valign="middle" >1.46095e−08</td><td align="center" valign="middle" >1.000000083e−09</td><td align="center" valign="middle" >1.35178e−08</td></tr><tr><td align="center" valign="middle" >0.7</td><td align="center" valign="middle" >4.99375270747</td><td align="center" valign="middle" >4.99375268531</td><td align="center" valign="middle" >2.05295e−08</td><td align="center" valign="middle" >9.999999194e−10</td><td align="center" valign="middle" >2.21617e−08</td></tr><tr><td align="center" valign="middle" >0.8</td><td align="center" valign="middle" >5.50554092849</td><td align="center" valign="middle" >5.50554089436</td><td align="center" valign="middle" >1.95075e−08</td><td align="center" valign="middle" >1.000000083e−09</td><td align="center" valign="middle" >3.41303e−08</td></tr><tr><td align="center" valign="middle" >0.9</td><td align="center" valign="middle" >6.07960311116</td><td align="center" valign="middle" >6.07960306104</td><td align="center" valign="middle" >1.08431e−08</td><td align="center" valign="middle" >2.000000165e−09</td><td align="center" valign="middle" >5.01217e−08</td></tr><tr><td align="center" valign="middle" >1.0</td><td align="center" valign="middle" >6.71828182846</td><td align="center" valign="middle" >6.71828175755</td><td align="center" valign="middle" >1.54095e−08</td><td align="center" valign="middle" >1.000000083e−09</td><td align="center" valign="middle" >7.09074e−08</td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> The absolute errors of predictor-corrector method of order five is compared with that of Block method, [<xref ref-type="bibr" rid="scirp.69181-ref16">16</xref>] and [<xref ref-type="bibr" rid="scirp.69181-ref7">7</xref>] both are of order seven</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x91.png" xlink:type="simple"/></inline-formula></th><th align="center" valign="middle" ><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x92.png" xlink:type="simple"/></inline-formula></th><th align="center" valign="middle" ><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x93.png" xlink:type="simple"/></inline-formula></th><th align="center" valign="middle" >Error in [<xref ref-type="bibr" rid="scirp.69181-ref16">16</xref>] , <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x94.png" xlink:type="simple"/></inline-formula></th><th align="center" valign="middle" >Error in [<xref ref-type="bibr" rid="scirp.69181-ref7">7</xref>] , <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x95.png" xlink:type="simple"/></inline-formula></th><th align="center" valign="middle" >Error in new scheme, <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x96.png" xlink:type="simple"/></inline-formula></th></tr></thead><tr><td align="center" valign="middle" >0.1</td><td align="center" valign="middle" >0.9154074738</td><td align="center" valign="middle" >0.9154074720</td><td align="center" valign="middle" >6.408641e−07</td><td align="center" valign="middle" >8.547820e−11</td><td align="center" valign="middle" >1.793572e−09</td></tr><tr><td align="center" valign="middle" >0.2</td><td align="center" valign="middle" >0.8625739855</td><td align="center" valign="middle" >0.8625739726</td><td align="center" valign="middle" >1.511330e−05</td><td align="center" valign="middle" >2.232510e−09</td><td align="center" valign="middle" >1.293977e−08</td></tr><tr><td align="center" valign="middle" >0.3</td><td align="center" valign="middle" >0.8415613751</td><td align="center" valign="middle" >0.8415613394</td><td align="center" valign="middle" >6.364443e−05</td><td align="center" valign="middle" >5.824412e−08</td><td align="center" valign="middle" >3.562427e−08</td></tr><tr><td align="center" valign="middle" >0.4</td><td align="center" valign="middle" >0.8509665298</td><td align="center" valign="middle" >0.8509664646</td><td align="center" valign="middle" >1.675667e−04</td><td align="center" valign="middle" >1.226405e−06</td><td align="center" valign="middle" >6.511243e−08</td></tr><tr><td align="center" valign="middle" >0.5</td><td align="center" valign="middle" >0.8883433192</td><td align="center" valign="middle" >0.8883432272</td><td align="center" valign="middle" >3.507709e−04</td><td align="center" valign="middle" >2.811820e−06</td><td align="center" valign="middle" >9.192517e−08</td></tr><tr><td align="center" valign="middle" >0.6</td><td align="center" valign="middle" >0.9506049047</td><td align="center" valign="middle" >0.9506048008</td><td align="center" valign="middle" >6.410825e−04</td><td align="center" valign="middle" >6.295841e−06</td><td align="center" valign="middle" >1.039027e−07</td></tr><tr><td align="center" valign="middle" >0.7</td><td align="center" valign="middle" >1.0343928539</td><td align="center" valign="middle" >1.0343927659</td><td align="center" valign="middle" >1.071642e−03</td><td align="center" valign="middle" >1.695782e−05</td><td align="center" valign="middle" >8.802953e−08</td></tr><tr><td align="center" valign="middle" >0.8</td><td align="center" valign="middle" >1.1364035569</td><td align="center" valign="middle" >1.1364035249</td><td align="center" valign="middle" >1.682213e−03</td><td align="center" valign="middle" >4.765221e−05</td><td align="center" valign="middle" >3.193929e−08</td></tr><tr><td align="center" valign="middle" >0.9</td><td align="center" valign="middle" >1.2536662112</td><td align="center" valign="middle" >1.2536662862</td><td align="center" valign="middle" >2.520603e−03</td><td align="center" valign="middle" >1.316541e−04</td><td align="center" valign="middle" >7.494632e−08</td></tr><tr><td align="center" valign="middle" >1.0</td><td align="center" valign="middle" >1.3837699992</td><td align="center" valign="middle" >1.3837702399</td><td align="center" valign="middle" >3.644014e−03</td><td align="center" valign="middle" >3.417856e−04</td><td align="center" valign="middle" >2.406539e−07</td></tr></tbody></table></table-wrap><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> The absolute errors of predictor-corrector method of order five is compared with that of [<xref ref-type="bibr" rid="scirp.69181-ref17">17</xref>] , where they developed modified Runge-Kutta methods and [<xref ref-type="bibr" rid="scirp.69181-ref18">18</xref>] both are of order seven</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x97.png" xlink:type="simple"/></inline-formula></th><th align="center" valign="middle" ><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x98.png" xlink:type="simple"/></inline-formula></th><th align="center" valign="middle" ><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/69181x99.png" xlink:type="simple"/></inline-formula></th><th align="center" valign="middle" >Error in [<xref ref-type="bibr" rid="scirp.69181-ref17">17</xref>] ,</th><th align="center" valign="middle" >Error in [<xref ref-type="bibr" rid="scirp.69181-ref18">18</xref>]</th><th align="center" valign="middle" >Error in new scheme</th></tr></thead><tr><td align="center" valign="middle" >0.1</td><td align="center" valign="middle" >1.010499750060</td><td align="center" valign="middle" >1.010499750045</td><td align="center" valign="middle" >6.400e−08</td><td align="center" valign="middle" >1.040e−06</td><td align="center" valign="middle" >1.375e−11</td></tr><tr><td align="center" valign="middle" >0.2</td><td align="center" valign="middle" >1.043992007615</td><td align="center" valign="middle" >1.043992005727</td><td align="center" valign="middle" >1.260e−07</td><td align="center" valign="middle" >5.060e−06</td><td align="center" valign="middle" >1.887e−09</td></tr><tr><td align="center" valign="middle" >0.3</td><td align="center" valign="middle" >1.103439380016</td><td align="center" valign="middle" >1.103439362951</td><td align="center" valign="middle" >1.520e−07</td><td align="center" valign="middle" >1.210e−05</td><td align="center" valign="middle" >1.707e−08</td></tr><tr><td align="center" valign="middle" >0.4</td><td align="center" valign="middle" >1.191744973074</td><td align="center" valign="middle" >1.191744903951</td><td align="center" valign="middle" >2.130e−07</td><td align="center" valign="middle" >2.220e−05</td><td align="center" valign="middle" >6.912e−08</td></tr><tr><td align="center" valign="middle" >0.5</td><td align="center" valign="middle" >1.311723384187</td><td align="center" valign="middle" >1.31172319043</td><td align="center" valign="middle" >2.730e−07</td><td align="center" valign="middle" >3.530e−05</td><td align="center" valign="middle" >1.938e−07</td></tr></tbody></table></table-wrap></sec><sec id="s7"><title>7. Conclusion</title><p>The combination of power series and exponential function collocation method was used to produce a two-step continuous-hybrid method. The method obtained was used to solve some mildly-stiff third order ordinary differential equations. The new method compared favorably in terms of accuracy with the existing methods of higher order and step number. Our future research will be focused on more introductions of grid and off-grid points to enhance global error estimations.</p></sec><sec id="s8"><title>Cite this paper</title><p>Friday Oghenerukevwe Obarhua,Sunday Jacob Kayode, (2016) Symmetric Hybrid Linear Multistep Method for General Third Order Differential Equations. Open Access Library Journal,03,1-8. doi: 10.4236/oalib.1102583</p></sec><sec id="s9"><title>NOTES</title></sec></body><back><ref-list><title>References</title><ref id="scirp.69181-ref1"><label>1</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Kayode</surname><given-names> S.J. </given-names></name>,<etal>et al</etal>. (<year>2009</year>)<article-title>A Zero Stable Method for Direct Solution of Fourth Order Ordinary Differential Equations</article-title><source> American Journal of Applied Sciences</source><volume> 5</volume>,<fpage> 1461</fpage>-<lpage>1466</lpage>.<pub-id pub-id-type="doi"></pub-id></mixed-citation></ref><ref id="scirp.69181-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Kayode, S.J. and Adeyeye, O. (2013) Two-Step Two-Point Hybrid Methods for General Second Order Differential Equations. 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