<?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">JAMP</journal-id><journal-title-group><journal-title>Journal of Applied Mathematics and Physics</journal-title></journal-title-group><issn pub-type="epub">2327-4352</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/jamp.2021.92026</article-id><article-id pub-id-type="publisher-id">JAMP-107430</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Physics&amp;Mathematics</subject></subj-group></article-categories><title-group><article-title>
 
 
  Singular Hammerstein-Volterra Integral Equation and Its Numerical Processing
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>A.</surname><given-names>M. Al-Bugami</given-names></name><xref ref-type="aff" rid="aff1"><sub>1</sub></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib></contrib-group><aff id="aff1"><label>1</label><addr-line>Department of Mathematics, Faculty of Sciences, Taif University, Taif, KSA</addr-line></aff><pub-date pub-type="epub"><day>02</day><month>02</month><year>2021</year></pub-date><volume>09</volume><issue>02</issue><fpage>379</fpage><lpage>390</lpage><history><date date-type="received"><day>21,</day>	<month>January</month>	<year>2021</year></date><date date-type="rev-recd"><day>23,</day>	<month>February</month>	<year>2021</year>	</date><date date-type="accepted"><day>26,</day>	<month>February</month>	<year>2021</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>
 
 
  In this paper, the existence and uniqueness of solution of singular Hammerstein-Volterra integral equation (
  H-VIE) are considered. Toeplitz matrix (
  TMM) and product Nystrom method (
  PNM) to solve the 
  H-VIE with singular logarithmic kernel are used. The absolute error is calculated.
 
</p></abstract><kwd-group><kwd>Integral Equation</kwd><kwd> Hammerstein</kwd><kwd> Logarithmic Kernel</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>The singular integral equations are considered to be of more interest than the others and a close form of solution is generally not available. Therefore, great attention must be considered for the numerical solution of these equations. Abdou in [<xref ref-type="bibr" rid="scirp.107430-ref1">1</xref>], studied Fredholm-Volterra integral equation with singular kernel. Al-Bugami, in [<xref ref-type="bibr" rid="scirp.107430-ref2">2</xref>], studied some numerical methods for solving singular and nonsingular integral equations. Abdou, El-Sayed and Deebs, in [<xref ref-type="bibr" rid="scirp.107430-ref3">3</xref>], obtained a solution of nonlinear integral equation. Also in [<xref ref-type="bibr" rid="scirp.107430-ref4">4</xref>], Abdou and Hendi used numerical solution for solving Fredholm integral equation with Hilbert kernel. In [<xref ref-type="bibr" rid="scirp.107430-ref5">5</xref>], Al-Bugami used TMM and Volterra-Hammerstein integral equation with a generalized singular kernel. In [<xref ref-type="bibr" rid="scirp.107430-ref6">6</xref>], Abdou, Borai, and El-Kojok used TMM and nonlinear integral equation of Hammerstein type. Al-Bugami, in [<xref ref-type="bibr" rid="scirp.107430-ref7">7</xref>], studied the error analysis for numerical solution of HIE with a generalized singular kernel. A. Shahsavaran in [<xref ref-type="bibr" rid="scirp.107430-ref8">8</xref>], studied Lagrange functions method for solving nonlinear F-VIE. In [<xref ref-type="bibr" rid="scirp.107430-ref9">9</xref>], Darwish, studied the nonlinear Fredholm-Volterra integral equations with hysteresis. In [<xref ref-type="bibr" rid="scirp.107430-ref10">10</xref>], Mirzaee used numerical solution of nonlinear F-VIEs via Bell polynomials. In [<xref ref-type="bibr" rid="scirp.107430-ref11">11</xref>], Raad studied linear F-VIE with logarithmic kernel and solved the linear system of Fredholm integral equations numerical with logarithmic form.</p></sec><sec id="s2"><title>2. Existence and Uniqueness of the Solution of H-VIE</title><p>Consider:</p><p>μ ϕ ( x , t ) = f ( x , t ) + λ ∫ − a a K ( x , y ) γ ( y , t , ϕ ( y , t ) ) d y + λ ∫ 0 t F ( t , τ ) ϕ ( x , τ ) d τ (1)</p><p>This formula is measured in L 2 [ − a , a ] &#215; C [ 0 , T ] , T &lt; ∞ , where the FI term is measured with respect to position. While the VI term is considered in time, and f ( x , t ) is known function. λ is the parameter, while μ defines the kind of the integral Equation (1).</p><p>We assume:</p><p>1) K ( x , y ) ∈ C ( [ − a , a ] &#215; [ − a , a ] ) , and satisfies:</p><p>[ ∫ − a a ∫ − a a | K ( x , y ) | 2 d y d x ] 1 2 = A 1 &lt; ∞ , ( A 1 is a constant)</p><p>2) F ( t , τ ) ∈ C ( [ 0 , T ] &#215; [ 0 , T ] ) , 0 ≤ τ ≤ t ≤ T ≤ ∞ , satisfies:</p><p>| F ( t , τ ) | ≤ A 2</p><p>3) f ( x , t ) is continuous in L 2 [ − a , a ] &#215; C [ 0 , T ] where:</p><p>‖ f ( x , t ) ‖ = max 0 ≤ t ≤ T ∫ 0 t [ ∫ a b | f ( x , τ ) | 2 d x ] 1 2 d τ = A 3</p><p>4) γ ( x , t , ϕ ( x , t ) ) , satisfies for the constant B &gt; B 1 , B &gt; p , the following conditions:</p><p>a) ∫ 0 t ∫ a b ( | γ ( x , t , ϕ ( x , t ) ) | 2 d x d t ) 1 2 ≤ B 1 ‖ ϕ ( x , t ) ‖ L 2 [ a , b ] &#215; C [ 0 , T ]</p><p>b) ‖ γ ( x , t , ϕ 1 ( x , t ) ) − γ ( x , t , ϕ 2 ( x , t ) ) ‖ ≤ N ( x , t ) | ϕ 1 ( x , t ) − ϕ 2 ( x , t ) |</p><p>where ‖ N ( x , t ) ‖ L 2 [ a , b ] &#215; C [ 0 , T ] = p</p><p>In other words, we prove that the solution exists using the successive approximation method, also called the Picard method, that we pick up any real continuous function ϕ 0 ( x , t ) in L 2 [ − a , a ] &#215; C [ 0 , T ] , we assume ϕ 0 ( x , t ) = f ( x , t ) , then construct a sequence ϕ n defined by</p><p>ϕ n ( x , t ) = f ( x , t ) + λ ∫ − a a K ( x , y ) γ ( y , t , ϕ n − 1 ( y , t ) ) d y                           + λ ∫ 0 t F ( t , τ ) ϕ n − 1 ( x , τ ) d τ ,   ( μ = 1 )</p><p>ϕ n − 1 ( x , t ) = f ( x , t ) + λ ∫ − a a K ( x , y ) γ ( y , t , ϕ n − 2 ( y , t ) ) d y                               + λ ∫ 0 t F ( t , τ ) ϕ n − 2 ( x , τ ) d τ ,   ( μ = 1 )</p><p>ψ n ( x , t ) = ϕ n ( x , t ) − ϕ n − 1 ( x , t )                         = λ ∫ − a a K ( x , y ) [ γ ( y , t , ϕ n − 1 ( y , t ) ) − γ ( y , t , ϕ n − 2 ( y , t ) ) ] d y                             + λ ∫ 0 t F ( t , τ ) [ ϕ n − 1 ( x , τ ) − ϕ n − 2 ( x , τ ) ] d τ ,     n = 1 , 2 , ⋯</p><p>Then:</p><p>ϕ n ( x , t ) = ∑ i = 0 n ψ i ( x , t ) (2)</p><p>Hence</p><p>ψ n ( x , t ) = f ( x , t ) + λ ∫ − a a K ( x , y ) γ ( y , t , ψ n − 1 ( y , t ) ) d y + λ ∫ 0 t F ( t , τ ) ψ n − 1 ( x , τ ) d τ</p><p>Using the properties of the norm, we obtain:</p><p>‖ ψ n ( x , t ) ‖ ≤ | λ | ‖ ∫ − a a K ( x , y ) γ ( y , t , ψ n − 1 ( y , t ) ) d y ‖ + | λ | ‖ ∫ 0 t F ( t , τ ) ψ n − 1 ( x , τ ) d τ ‖</p><p>For n = 1 , we get</p><p>‖ ψ 1 ( x , t ) ‖ ≤ | λ | ‖ ∫ − a a K ( x , y ) γ ( y , t , ψ 0 ( y , t ) ) d y ‖ + | λ | ‖ ∫ 0 t F ( t , τ ) ψ 0 ( x , τ ) d τ ‖ ≤ | λ | ‖ ( ∫ − a a | K ( x , y ) | 2 d y ) 1 2 ( ∫ − a a | γ ( y , t , ψ 0 ( y , t ) ) | 2 d y ) 1 2 ‖   + | λ | ‖ ∫ 0 t | F ( t , τ ) | | ψ 0 ( x , τ ) | d τ ‖</p><p>Using Cauchy Schwarz inequality and from conditions (i)-(iv-a) with ψ 0 = f ( x , t ) and ‖ f ‖ = A 3 , we get</p><p>‖ ψ 1 ( x , t ) ‖ ≤ | λ | max ∫ 0 t [ ∫ − a a ( ∫ − a a | K ( x , y ) | 2 d y ∫ − a a | γ ( y , t , ψ 0 ( y , t ) ) | 2 d y ) d x ] 1 2 d τ 0 ≤ t ≤ T     + | λ | A 2 ∫ 0 t ‖ ψ 0 ( x , τ ) ‖ d τ ≤ | λ | A 1 A 3 B 1 + | λ | A 2 A 3 ‖ t ‖</p><p>We have 0 ≤ τ ≤ t ≤ T ≤ ∞ , then m a x | t | = T = L , and then we have:</p><p>‖ ψ 1 ( x , t ) ‖ ≤ | λ | A 3 ( A 1 B 1 + A 2 L )</p><p>In general, we get:</p><p>‖ ψ 1 ( x , t ) ‖ ≤ | λ | n A 3 ( A 1 B 1 + A 2 L ) n = A 3 α n , α = | λ | ( A 1 B 1 + A 2 L ) (3)</p><p>This bound makes the sequence ψ n ( x , t ) converges if</p><p>α &lt; 1 ⇒ | λ | &lt; 1 A 1 B 1 + A 2 L (4)</p><p>The result (4), leads us to say that the formula (2) has a convergent solution. So let n → ∞ , we have:</p><p>ϕ ( x , t ) = ∑ i = 0 ∞ ψ i ( x , t ) = A 3 1 − α ,     ( α &lt; 1 ) (5)</p><p>The infinite series of (5) is convergent, and ϕ ( x , t ) represents the convergent solution of Equation (1). Also each of ψ i is continuous, therefore ϕ ( x , t ) is also continuous.</p><p>To show that ϕ ( x , t ) is unique, we assume that ϕ &#175; ( x , t ) is also a continuous solution of (1) then, we write</p><p>ϕ ( x , t ) − ϕ &#175; ( x , t ) = λ ∫ − a a K ( x , y ) [ γ ( y , t , ϕ ( y , t ) ) − γ ( y , t , ϕ &#175; ( y , t ) ) ] d y                                                 + λ ∫ 0 t F ( t , τ ) [ ϕ ( x , τ ) − ϕ &#175; ( x , τ ) ] d τ ,     ( μ = 1 )</p><p>which leads us to the following:</p><p>‖ ϕ ( x , t ) − ϕ &#175; ( x , t ) ‖ ≤ | λ | ‖ ∫ − a a | K ( x , y ) | | γ ( y , t , ϕ ( y , t ) ) − γ ( y , t , ϕ &#175; ( y , t ) ) | d y ‖                                                       + | λ | ‖ ∫ 0 t | F ( t , τ ) | | ϕ ( x , τ ) − ϕ &#175; ( x , τ ) | d τ ‖</p><p>Using conditions (iv-b), then we have:</p><p>‖ ϕ ( x , t ) − ϕ &#175; ( x , t ) ‖ ≤ | λ | max 0 ≤ t ≤ T ∫ 0 t [ ∫ − a a ∫ − a a ( | K ( x , y ) | d x d y ) 1 2 ( ∫ − a a N 2 ( x , t ) | ϕ ( x , t ) − ϕ &#175; ( x , t ) | 2 d y ) 1 2 ] d τ       + | λ | ‖ ∫ 0 t | F ( t , τ ) | | ϕ ( x , t ) − ϕ &#175; ( x , t ) | d τ ‖</p><p>Finally, with the aid of conditions (i) and (ii):</p><p>‖ ϕ ( x , t ) − ϕ &#175; ( x , t ) ‖ ≤ α ‖ ϕ ( x , t ) − ϕ &#175; ( x , t ) ‖</p><p>Then:</p><p>( 1 − α ) ‖ ϕ ( x , t ) − ϕ &#175; ( x , t ) ‖ ≤ 0</p><p>Since ‖ ϕ ( x , t ) − ϕ &#175; ( x , t ) ‖ is necessarily non-negative, and α &lt; 1 :</p><p>‖ ϕ ( x , t ) − ϕ &#175; ( x , t ) ‖ = 0 ⇒ ϕ ( x , t ) = ϕ &#175; ( x , t )</p><p>It follows that if (1) has a solution it must be unique.</p></sec><sec id="s3"><title>3. SHIEs</title><p>Consider:</p><p>ϕ ( x , t ) = f ( x , t ) + λ ∫ − a a K ( x , y ) γ ( y , t , ϕ ( y , t ) ) d y + λ ∫ 0 t F ( t , τ ) ϕ ( x , τ ) d τ (6)</p><p>when t = 0 Equation (13) becomes:</p><p>ϕ 0 ( x ) = f 0 ( x ) + λ ∫ − a a K ( x , y ) γ ( y , ϕ 0 ( y ) ) d y (7)</p><p>where ϕ 0 ( x ) = ϕ ( x , 0 ) , f 0 ( x ) = f ( x , 0 ) .</p><p>The formula (7) represents HIE of the second kind at t = 0 . Divide the interval [ 0 , T ] , 0 ≤ t ≤ T &lt; ∞ as 0 = t 0 ≤ t 1 &lt; ⋯ &lt; t k &lt; ⋯ &lt; t N = T , then using the quadrature formula, the Volterra integral term in (6) becomes:</p><p>∫ 0 t k F ( t , τ ) ϕ ( x , τ ) d τ = ∑ j = 0 k u j F ( t k , t j ) ϕ ( x , t j ) + o ( ℏ i p ˜ + 1 ) ,   ( ℏ k → 0 , p ˜ &gt; 0 ) (8)</p><p>where ℏ k = max 0 ≤ j ≤ k h j , h j = t j + 1 − t j</p><p>Using (8) in (6), we have:</p><p>ϕ k ( x ) = f k ( x ) + λ ∫ − a a K ( x , y ) γ ( y , t k , ϕ k ( y ) ) d y + λ ∑ j = 0 k u j F k j ϕ j ( x ) (9)</p><p>where ϕ k ( x ) = ϕ ( x , t k ) , f k ( x ) = f ( x , t k ) , F k j = F ( t k , t j ) .</p><p>μ n ϕ n ( x ) = G n ( x ) + λ ∫ − a a K ( x , y ) ϕ n ( y ) d y (10)</p><p>where μ n = 1 − λ F n n u n , G n ( x ) = f n ( x ) + λ ∑ j = 0 n − 1 u j F n j γ ( x , t j , ϕ j ( x ) ) , n = 0 , 1 , ⋯ , N .</p><p>The formula (10) represents SHIEs of the second kind, and we have N unknown ϕ n ( x ) .</p></sec><sec id="s4"><title>4. Some Numerical Techniques for Solving SHIEs</title><sec id="s4_1"><title>4.1. The TMM</title><p>In this section, we present the TMM to obtain numerical solution for HIE of the second kind with singular kernel. Consider:</p><p>ϕ ( x ) = f ( x ) + λ ∫ − a a K ( | x − y | ) γ ( y , ϕ ( y ) ) d y (11)</p><p>Write the integral term in the form:</p><p>∫ − a a K ( | x − y | ) γ ( y , ϕ ( y ) ) d y = ∑ n = − N N − 1 ∫ n h n h + h K ( | x − y | ) γ ( y , ϕ ( y ) ) d y ,   ( h = 2 a N ) (12)</p><p>Approximate the integral in the right hand side of Equation (12) by:</p><p>∫ n h n h + h K ( | x − y | ) γ ( y , ϕ ( y ) ) d y = A n ( x ) γ ( n h , ϕ ( n h ) ) + B n ( x ) γ ( n h + h , ϕ ( n h + h ) ) + R (13)</p><p>where A n ( x ) and B n ( x ) are two arbitrary functions. Putting ϕ ( x ) = 1 , x in Equation (13), where in this case we choose R = 0 . By solving the result, then we take:</p><p>A n ( x ) = 1 h [ γ ( n h + h , n h + h ) I ( x ) − γ ( n h + h , 1 ) J ( x ) ] (14)</p><p>And</p><p>B n ( x ) = 1 h [ γ ( n h + h , 1 ) J ( x ) − γ ( n h , n h ) I ( x ) ] (15)</p><p>where:</p><p>I ( x ) = ∫ n h n h + h K ( | x − y | ) γ ( y , 1 ) d y (16)</p><p>J ( x ) = ∫ n h n h + h K ( | x − y | ) γ ( y , y ) d y (17)</p><p>The relation (12), becomes:</p><p>∫ − a a K ( | x − y | ) γ ( y , ϕ ( y ) ) d y = ∑ n = − N N D n ( x ) γ ( n h , ϕ ( n h ) )</p><p>where</p><p>D n ( x ) = { A − N ( x ) ,                                   n = − N A n ( x ) + B n ( x ) ,         − N &lt; n &lt; N B N − 1 ( x ) ,                                 n = N (18)</p><p>The IE (11) becomes:</p><p>ϕ ( x ) − λ ∑ n = − N N D n ( x ) γ ( n h , ϕ ( n h ) ) = f ( x ) (19)</p><p>Putting x = m h , we have:</p><p>ϕ m − λ ∑ n = − N N D n , m γ n ( ϕ n ) = f m ,     − N ≤ m ≤ N (20)</p><p>where ϕ m = ϕ ( m h ) , D n , m = D n ( m h ) , f m = f ( m h ) .</p><p>The matrix D n , m may be written as D n , m = G n , m + E n , m , where:</p><p>G n , m = A n ( m h ) + B n − 1 ( m h ) ,     − N ≤ n , m ≤ N (21)</p><p>Is a Toeplitz matrix of order 2 N + 1 and:</p><p>E n , m ( x ) = { B − N − 1 ( x ) ,             n = − N , m = − N + i 0 ,                                           − N &lt; n &lt; N A N ( x ) ,                   n = N , m = − N + i (22)</p><p>where 0 ≤ i ≤ 2 n . The solution of the formula (20):</p><p>ϕ m = [ I − λ ( G n , m + E n , m ) ] − 1 f m ,     | I − λ ( G n , m + E n , m ) | ≠ 0 (23)</p><p>Also</p><p>R = | ∫ − a a K ( | x − y | ) γ ( y , ϕ ( y ) ) d y − ∑ n = − N N D n m γ ( n h , ϕ ( n h ) ) | (24)</p></sec><sec id="s4_2"><title>4.2. The PNM</title><p>Consider:</p><p>ϕ ( x ) − λ ∫ − a a p ( x , y ) K &#175; ( x , y ) γ ( y , ϕ ( y ) ) d y = f ( x ) (25)</p><p>where p and K &#175; are badly behaved and well-behaved functions of their arguments, respectively. Then, we get:</p><p>ϕ ( x i ) − λ ∑ j = 0 N w i j K &#175; ( x i , y j ) γ ( y j , ϕ ( y j ) ) = f ( x i ) (26)</p><p>where x i = y i = a + i h , i = 0 , 1 , ⋯ , N with h = 2 a N , N even and w i j are the weights. When x = x i , we write:</p><p>∫ − a a p ( x i , y ) K &#175; ( x i , y ) γ ( y , ϕ ( y ) ) d y = ∑ j = 0 N − 2 2 ∫ y 2 j y 2 j + 2 p ( x i , y ) K &#175; ( x i , y ) γ ( y , ϕ ( y ) ) d y (27)</p><p>Form relation (25) through (27) we find:</p><p>∑ j = 0 N w i j K &#175; ( x i , y j ) γ ( y j , ϕ ( y j ) ) = ∑ j = 0 N − 2 2 ∫ y 2 j y 2 j + 2 p ( x i , y ) K &#175; ( x i , y ) γ ( y , ϕ ( y ) ) d y (28)</p><p>Then, we obtain:</p><p>∫ − a a p ( x i , y ) K &#175; ( x i , y ) γ ( y , ϕ ( y ) ) d y = ∑ j = 0 N − 2 2 ∫ y 2 j y 2 j + 2 p ( x i , y ) { ( y 2 j + 1 − y ) ( y 2 j + 2 − y ) 2 h 2 γ ( y 2 j , ϕ ( y 2 j ) )     + ( y − y 2 j ) ( y 2 j + 2 − y ) h 2 γ ( y 2 j + 1 , ϕ ( y 2 j + 1 ) )     + ( y 2 j + 1 − y ) ( y 2 j − y ) 2 h 2 γ ( y 2 j + 2 , ϕ ( y 2 j + 2 ) ) } d y</p><p>Therefore:</p><p>w i , 0 = β 1 ( y i )                                                       w i , 2 j + 1 = 2 γ j + 1 ( y i ) w i , 2 j = α i ( y i ) + β j + 1 ( y i )                       w i , N ( y i ) = α N 2 ( y i ) (29)</p><p>where:</p><p>α j ( y i ) = 1 2 h 2 ∫ y 2 j − 2 y 2 j p ( y i , y ) ( y − y 2 j − 2 ) ( y − y 2 j − 1 ) d y β j ( y i ) = 1 2 h 2 ∫ y 2 j − 2 y 2 j p ( y i , y ) ( y − y 2 j − 1 ) ( y − y 2 j ) d y γ j ( y i ) = 1 2 h 2 ∫ y 2 j − 2 y 2 j p ( y i , y ) ( y − y 2 j − 2 ) ( y 2 j − y ) d y (30)</p><p>We now introduce the change of variable y = y 2 j − 2 + ζ h , 0 ≤ ζ ≤ 2 thus the system (30) becomes:</p><p>α j ( y i ) = h 2 ∫ 0 2 ζ ( ζ − 1 ) p ( y 2 j − 2 + ζ h , y i ) d ζ</p><p>β j ( y i ) = h 2 ∫ 0 2 ( ζ − 1 ) ( ζ − 2 ) p ( y 2 j − 2 + ζ h , y i ) d ζ</p><p>γ j ( y i ) = h 2 ∫ 0 2 ζ ( 2 − ζ ) p ( y 2 j − 2 + ζ h , y i ) d ζ</p><p>If we define:</p><p>ψ i = ∫ 0 2 ζ i p ( y 2 j − 2 + ζ h , y i ) d ζ</p><p>For p ( x , y ) = p ( x − y ) , we have:</p><p>ψ i = ∫ 0 2 ζ i p ( y i , y 2 j − 2 + ζ h ) d ζ ,     i = 0 , 1 , 2 (31)</p><p>When y i − y 2 j − 2 = ( i − 2 j + 2 ) h . If we assume z = i − 2 j + 2 , then:</p><p>α j ( y i ) = h 2 ∫ 0 2 ζ ( ζ − 1 ) p ( z − ζ ) d ζ β j ( y i ) = h 2 ∫ 0 2 ( ζ − 1 ) ( ζ − 2 ) p ( z − ζ ) d ζ γ j ( y i ) = h 2 ∫ 0 2 ζ ( 2 − ζ ) p ( z − ζ ) d ζ (32)</p><p>Hence, the system (29) becomes:</p><p>w i , 0 = h 2 [ 2 ψ 0 ( z ) − 3 ψ 1 ( z ) + ψ 2 ( z ) ] ,         z = i w i , 2 j + 1 = h [ 2 ψ 1 ( z ) − ψ 2 ( z ) ] ,                               z = i − 2 j</p><p>w i , 2 j = h 2 [ ψ 2 ( z ) − ψ 1 ( z ) + 2 ψ 0 ( z − 2 ) − 3 ψ 1 ( z − 2 ) + ψ 2 ( z − 2 ) ] ,         z = i − 2 j + 2 w i , N = h 2 [ ψ 2 ( z ) − ψ 1 ( z ) ] ,                                                                                                             z = i − N + 2 (33)</p><p>Therefore, the integral Equation (25) is reduced to SLAEs as in (26) or: ( I − λ W ) ϕ = F</p><p>Which has the solution:</p><p>ϕ = ( I − λ W ) − 1 F ,       | I − λ W | ≠ 0 (34)</p><p>The PNM is said to be convergent of order r in [ − a , a ] . If for N sufficiently large, there exists a constant C &gt; 0 independent of N such that:</p><p>‖ ϕ ( x ) − ϕ N ( x ) ‖ ≤ C N − r</p></sec></sec><sec id="s5"><title>5. Numerical Applications</title><p>We using TMM and PNM at N = 20 , 40 , T = 0.03 , 0.7 , λ = 1 , and μ = 1 . In Tables 1-4:</p><p>ϕ E x a c t &#174; Exact solution, ϕ T &#174; appro. sol. of TMM, E T &#174; the absolute error of TMM, ϕ N &#174; appro. sol. of PNM, E N &#174; the absolute error of PNM.</p><p>Example 1</p><p>Consider:</p><p>ϕ ( x , t ) = f ( x , t ) + λ ∫ − 1 1 ln | x − y | ( y t ) 2 d y + λ ∫ 0 t τ 2 ϕ ( x , τ ) d τ</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> The values of exact, approximate solutions, and errors by using TMM, PNM at N = 20</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >T</th><th align="center" valign="middle" >x</th><th align="center" valign="middle" >ϕ E x a c t</th><th align="center" valign="middle" >ϕ T</th><th align="center" valign="middle" >E T</th><th align="center" valign="middle" >ϕ N</th><th align="center" valign="middle" >E N</th></tr></thead><tr><td align="center" valign="middle" >0.03</td><td align="center" valign="middle" >−1.0 −0.8 −0.6 −0.4 −0.2 0 0.2 0.4 0.6 0.8 1.0</td><td align="center" valign="middle" >−0.03000000 −0.02400000 −0.01800000 −0.01200000 −0.00600000 0 0.006000000 0.012000000 0.018000000 0.024000000 0.030000000</td><td align="center" valign="middle" >−0.030701591 −0.023838516 −0.017855743 −0.011903314 −0.005955438 0.000000452 0.0059710686 0.0011959300 0.0179646910 0.0239827313 0.029999603</td><td align="center" valign="middle" >7.0159E−4 1.6148E−4 1.4425E−4 9.6685E−5 4.4561E−5 4.5279E−7 2.8931E−5 4.6995E−5 3.5308E−5 1.7268E−5 3.9617E−7</td><td align="center" valign="middle" >−0.03002738 −0.02403073 −0.01803683 −0.01203176 −0.00632818 −0.00002599 0.005976067 0.011983505 0.017987883 0.023995269 0.030003419</td><td align="center" valign="middle" >2.7386E−5 3.0733E−5 3.6835E−5 3.1761E−5 3.2818E−5 2.5995E−5 2.3932E−5 1.6494E−5 1.2116E−5 4.7302E−6 3.4192E−6</td></tr><tr><td align="center" valign="middle" >0.7</td><td align="center" valign="middle" >−1.0 −0.8 −0.6 −0.4 −0.2 0 0.2 0.4 0.6 0.8 1.0</td><td align="center" valign="middle" >−0.70000000 −0.56000000 −0.42000000 −0.28000000 −0.14000000 0 0.140000000 0.280000000 0.420000000 0.560000000 0.700000000</td><td align="center" valign="middle" >−0.716358582 −0.556088118 −0.416502750 −0.277643540 −0.138874201 0.0001142305 0.1394831440 0.2792953877 0.4195246008 0.5600309299 0.7003734045</td><td align="center" valign="middle" >1.6358E−2 3.9118E−3 3.4972E−3 2.3564E−3 1.1257E−3 1.1423E−4 5.1685E−4 7.0461E−4 4.7539E−4 3.0929E−5 3.7340E−4</td><td align="center" valign="middle" >−0.70031893 −0.56033293 −0.42054763 −0.28051997 −0.14061900 −0.00050225 0.139540294 0.279740200 0.419885056 0.560081782 0.700159944</td><td align="center" valign="middle" >3.1893E−4 3.3293E-4 5.4763E−4 5.1997E−4 6.1900E−4 5.0225E−4 4.5979E−4 2.5979E−4 1.1494E−4 8.1782E−4 1.5994E−4</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> The values of exact, approximate solutions, and errors by using TMM, PNM at N = 40</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >T</th><th align="center" valign="middle" >x</th><th align="center" valign="middle" >ϕ E x a c t</th><th align="center" valign="middle" >ϕ T</th><th align="center" valign="middle" >E T</th><th align="center" valign="middle" >ϕ N</th><th align="center" valign="middle" >E N</th></tr></thead><tr><td align="center" valign="middle" >0.03</td><td align="center" valign="middle" >−1.0 −0.8 −0.6 −0.4 −0.2 0 0.2 0.4 0.6 0.8 1.0</td><td align="center" valign="middle" >−0.03000000 −0.02400000 −0.01800000 −0.01200000 −0.00600000 0 0.006000000 0.012000000 0.018000000 0.024000000 0.030000000</td><td align="center" valign="middle" >−0.031354257 −0.023848333 −0.017860806 −0.011906018 −0.005956673 0.0000002134 0.005971517 0.0119602026 0.0179658449 0.0239839397 0.0300003812</td><td align="center" valign="middle" >1.3542E−3 1.5156E−4 1.3919E−4 9.3981E−5 4.3326 E−5 2.1349E−7 2.8482E−5 3.9797E−5 3.4155E−5 1.6060E−5 3.8126E−7</td><td align="center" valign="middle" >−0.03002817 −0.02403524 −0.01803612 −0.01203478 −0.00603193 −0.00002798 0.059768287 0.011982306 0.017988279 0.0239946215 0.030002272</td><td align="center" valign="middle" >2.8170E−5 3.5249E−5 3.6128E−5 3.4780E−5 3.1939E−5 2.7985E−5 2.3171E−5 1.7693E−5 1.1720E−5 5.3784E−6 2.2728E-6</td></tr><tr><td align="center" valign="middle" >0.7</td><td align="center" valign="middle" >−1.0 −0.8 −0.6 −0.4 −0.2 0 0.2 0.4 0.6 0.8 1.0</td><td align="center" valign="middle" >−0.70000000 −0.56000000 −0.42000000 −0.28000000 −0.14000000 0 0.140000000 0.280000000 0.420000000 0.560000000 0.700000000</td><td align="center" valign="middle" >−0.731583858 −0.556312874 −0.416615893 −0.277703301 −0.138901367 0.0001086431 0.1394919213 0.2793130480 0.4195464227 0.5600523036 0.7003829896</td><td align="center" valign="middle" >3.1585E−2 3.6871E−3 3.3841E−3 2.2966E−3 1.0986E−3 1.0864E−4 5.0807E−4 6.8695E−4 4.5357E−4 5.2303E−5 3.8298E−4</td><td align="center" valign="middle" >−0.700337200 −0.560438272 −0.420531161 −0.280590379 −0.140598518 −0.000548653 0.1395580310 0.2791722263 0.4198942815 0.560066655 0.7001331775</td><td align="center" valign="middle" >3.3720E−4 4.3827E−4 5.3116E−4 5.9037E−4 5.9851E−4 5.4865E−4 4.4196E−4 2.8777E−4 1.0571E−4 6.6665E−5 1.3317E−4</td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> The values of exact, approximate solutions, and errors by using TMM, PNM at N = 20</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >T</th><th align="center" valign="middle" >x</th><th align="center" valign="middle" >ϕ E x a c t</th><th align="center" valign="middle" >ϕ T</th><th align="center" valign="middle" >E T</th><th align="center" valign="middle" >ϕ N</th><th align="center" valign="middle" >E N</th></tr></thead><tr><td align="center" valign="middle" >0.03</td><td align="center" valign="middle" >−1.0 −0.8 −0.6 −0.4 −0.2 0 0.2 0.4 0.6 0.8 1.0</td><td align="center" valign="middle" >−0.015000000 −0.012000000 −0.009000000 −0.006000000 −0.003000000 0 0.0030000000 0.0060000000 0.0090000000 0.0120000000 0.0150000000</td><td align="center" valign="middle" >−0.015350899 −0.119193964 −0.008927989 −0.005951798 −0.002977777 −0.176673371 0.0029854757 0.0059795673 0.0089822306 0.0119912274 0.0149997058</td><td align="center" valign="middle" >3.5089E−4 8.0603E−5 7.2013E−5 4.8260E−5 2.2222E−5 1.7667E−7 1.4524E−5 2.0432E−5 1.7769E−5 8.7725E−6 2.9414E−7</td><td align="center" valign="middle" >−0.0150137693 −0.0120155049 −0.0090185327 −0.0060159635 −0.0030164679 −0.0001304779 0.00298797512 0.00599166981 0.00899382675 0.01199749658 0.01500161353</td><td align="center" valign="middle" >1.3789E−5 1.5504E−5 1.8532E−5 1.5963E−5 1.6467E−5 1.3047E−5 1.2024E−5 8.3301E-6 6.1732E−6 2.5034E−6 1.6135E−6</td></tr><tr><td align="center" valign="middle" >0.7</td><td align="center" valign="middle" >−1.0 −0.8 −0.6 −0.4 −0.2 0 0.2 0.4 0.6 0.8 1.0</td><td align="center" valign="middle" >−0.350000000 −0.280000000 −0.210000000 −0.140000000 −0.700000000 0 0.7000000000 0.1400000000 0.2100000000 0.2800000000 0.3500000000</td><td align="center" valign="middle" >−0.358222414 −0.278111233 −0.208307768 −0.138862748 −0.069466949 0.0000300394 0.069707680 0.1395986121 0.209637503 0.279932202 0.3501244044</td><td align="center" valign="middle" >8.2224E−3 1.8887E−3 1.6922E−3 1.1372E−3 5.3305E−4 3.0039E−5 2.9231E−4 4.0138E−4 3.0262E−4 6.7797E−5 1.2440E−4</td><td align="center" valign="middle" >−0.3502016929 −0.2802337016 −0.2103304274 −0.1403011727 −0.0703395348 −0.000278348 0.0697361145 0.1398209052 0.209873904 0.2799576210 0.3500176757</td><td align="center" valign="middle" >2.0169E−4 2.3370E−4 3.3042E−4 3.0117E−4 3.3953E−4 2.7834E−4 2.6388E−4 1.7909E−4 1.2609E−4 4.2379E−4 1.7675E−5</td></tr></tbody></table></table-wrap><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> The values of exact, approximate solutions, and errors by using TMM, PNM at N = 40</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >T</th><th align="center" valign="middle" >x</th><th align="center" valign="middle" >ϕ E x a c t</th><th align="center" valign="middle" >ϕ T</th><th align="center" valign="middle" >E T</th><th align="center" valign="middle" >ϕ N</th><th align="center" valign="middle" >E N</th></tr></thead><tr><td align="center" valign="middle" >0.03</td><td align="center" valign="middle" >−1.0 −0.8 −0.6 −0.4 −0.2 0 0.2 0.4 0.6 0.8 1.0</td><td align="center" valign="middle" >−0.015000000 −0.012000000 −0.009000000 −0.006000000 −0.003000000 0 0.0030000000 0.0060000000 0.0090000000 0.0120000000 0.0150000000</td><td align="center" valign="middle" >−0.015677228 −0.011924354 −0.008930517 −0.005953091 −0.002978395 0.0000000570 0.0029857000 0.0059800185 0.0089828075 0.0119918316 0.0150009457</td><td align="center" valign="middle" >6.7722E−4 7.5645E−5 6.9482E−5 4.6908E−5 2.1604E−5 5.7023E−8 1.4299E−5 1.9981E−5 1.7192E−5 8.1683E−6 9.457E−8</td><td align="center" valign="middle" >−0.015014180 −0.120177632 −0.009018179 −0.006017473 −0.003016028 −0.000014042 0.002988355 0.0059910700 0.008994024 0.0119971724 0.015001040</td><td align="center" valign="middle" >1.4180E−5 1.7763E−5 1.8179E−5 1.7473E−5 1.6028E−5 1.4042E−5 1.1644E−5 8.9299E−6 5.9752E−6 2.8275E−6 1.0403E−6</td></tr><tr><td align="center" valign="middle" >0.7</td><td align="center" valign="middle" >−1.0 −0.8 −0.6 −0.4 −0.2 0 0.2 0.4 0.6 0.8 1.0</td><td align="center" valign="middle" >−0.350000000 −0.280000000 −0.210000000 −0.140000000 −0.700000000 0 0.7000000000 0.1400000000 0.2100000000 0.2800000000 0.3500000000</td><td align="center" valign="middle" >−0.36583575 −0.27822360 −0.20836433 −0.13889262 −0.06948053 0.000027245 0.697120697 0.139607442 0.209704661 0.279942888 0.350129197</td><td align="center" valign="middle" >1.5835E−2 1.7763E−3 1.6356E−3 1.1073E−3 5.1946E−4 2.7245E−5 2.8793E−4 3.9255E−4 2.9533E−4 5.7111E−4 1.2919E−4</td><td align="center" valign="middle" >−0.350210888 −0.280286378 −0.210322188 −0.14033638 −0.070329283 −0.000301555 0.6974498644 0.139806915 0.209878520 0.279950061 0.3500042976</td><td align="center" valign="middle" >2.1082E−4 2.8637E−4 3.2218E−4 3.3638E−4 3.2928E−4 3.0155E−4 2.5501E−4 1.9308E−4 1.2147E−4 4.9938E−5 4.2976E−6</td></tr></tbody></table></table-wrap><p>Exact solution: ϕ ( x , t ) = x t</p><p>Example 2</p><p>Consider:</p><p>ϕ ( x , t ) = f ( x , t ) + λ ∫ − 1 1 ln | x − y | ( y t 2 ) 2 d y + λ ∫ 0 t t τ ϕ ( x , τ ) d τ</p><p>Exact solution: ϕ ( x , t ) = x t 2</p></sec><sec id="s6"><title>6. Conclusion</title><p>The goal of this work is to study the H-VIE with singular kernel of the second kind. TMM and PNM are successive to solve this equation numerically. As N is increasing, the errors are decreasing. As t is increasing, the errors are increasing.</p></sec><sec id="s7"><title>Conflicts of Interest</title><p>The author declares no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s8"><title>Cite this paper</title><p>Al-Bugami, A.M. (2021) Singular Hammerstein-Volterra Integral Equation and Its Numerical Processing. Journal of Applied Mathematics and Physics, 9, 379-390. https://doi.org/10.4236/jamp.2021.92026</p></sec></body><back><ref-list><title>References</title><ref id="scirp.107430-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Abdou, M.A., Elsayed, W.G. and Deebs, E.I. (2005) A Solution of a Nonlinear Integral Equation. Applied Mathematics and Computation, 160, 1-14. https://doi.org/10.1016/S0096-3003(03)00613-1</mixed-citation></ref><ref id="scirp.107430-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Abdou, M.A. and Hendi, F.A. (2005) Numerical Solution for Fredholm Integral Equation with Hilbert Kernel. The Journal of the Korean Society for Industrial and Applied Mathematics, 9, 111-123.</mixed-citation></ref><ref id="scirp.107430-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">Al-Bugami, A.A. (2013) Toeplitz Matrix Method and Volterra-Hammerstein Integral Equation with a Generalized Singular Kernel. Progress in Applied Mathematics, 6, 16-42. https://doi.org/10.14419/ijbas.v2i1.601</mixed-citation></ref><ref id="scirp.107430-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">Abdou, M.A., El-Boria, M.M. and El-Kojok, M.M. (2009) Toeplitz Matriex Method and Nonlinear Integral Equation of Hammerstein Type. Journal of Computational and Applied Mathematics, 223, 765-776.  https://doi.org/10.1016/j.cam.2008.02.012</mixed-citation></ref><ref id="scirp.107430-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">Al-Bugami, A.M. (2013) Error Analysis for Numerical Solution of Hammerstein Integral Equation with a Generalized Singular Kernel. Progress in Applied Mathematics, 6, 1-15. https://doi.org/10.14419/ijbas.v2i1.601</mixed-citation></ref><ref id="scirp.107430-ref6"><label>6</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Shahsavaran</surname><given-names> A. </given-names></name>,<etal>et al</etal>. (<year>2011</year>)<article-title>Lagrange Functions Method for Solving Nonlinear Fredholm-Volterra Integral Equation</article-title><source> Applied Mathematical Sciences</source><volume> 5</volume>,<fpage> 2443</fpage>-<lpage>2450</lpage>.<pub-id pub-id-type="doi"></pub-id></mixed-citation></ref><ref id="scirp.107430-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Darwish, M.A. (2004) On Nonlinear Fredholm-Volterra Integral Equations with Hysteresis. Journal Applied Mathematics and Computation, 156, 479-484. https://doi.org/10.1016/j.amc.2003.08.006</mixed-citation></ref><ref id="scirp.107430-ref8"><label>8</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Mirzaee</surname><given-names> F. </given-names></name>,<etal>et al</etal>. (<year>2017</year>)<article-title>Numerical Solution of Nonlinear Fredholm-Volterra Integral Equations via Bell Polynomials</article-title><source> Computational Methods for Differential Equations</source><volume> 5</volume>,<fpage> 88</fpage>-<lpage>102</lpage>.<pub-id pub-id-type="doi"></pub-id></mixed-citation></ref><ref id="scirp.107430-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">Raad, S.A. (2005) Some Numerical Methods for Solving Singular Integral Equation. Umm Al-Qura University, Makkah.</mixed-citation></ref><ref id="scirp.107430-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">Al-Bugami, A.A. (2008) Some Numerical Method for Solving Singular and Nonlinear Integral Equation. Umm Al-Qura University, Makkah.</mixed-citation></ref><ref id="scirp.107430-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">Abdou, M.A. (2003) Fredholm-Volterra Integral Equation with Singular Kernel. Applied Mathematics and Computation, 137, 231-243. https://doi.org/10.1016/S0096-3003(02)00046-2</mixed-citation></ref></ref-list></back></article>