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Mathematical Methods for Physics and Engineering - Matematica.NET

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23.5 NEUMANN SERIES23.5 Neumann seriesAs mentioned above, most integral equations met in practice will not be of thesimple <strong>for</strong>ms discussed in the last section <strong>and</strong> so, in general, it is not possible tofind closed-<strong>for</strong>m solutions. In such cases, we might try to obtain a solution in the<strong>for</strong>m of an infinite series, as we did <strong>for</strong> differential equations (see chapter 16).Let us consider the equationy(x) =f(x)+λ∫ baK(x, z)y(z) dz, (23.34)where either both integration limits are constants (<strong>for</strong> a Fredholm equation) orthe upper limit is variable (<strong>for</strong> a Volterra equation). Clearly, if λ were small thena crude (but reasonable) approximation to the solution would bey(x) ≈ y 0 (x) =f(x),where y 0 (x) st<strong>and</strong>s <strong>for</strong> our ‘zeroth-order’ approximation to the solution (<strong>and</strong> isnot to be confused with an eigenfunction).Substituting this crude guess under the integral sign in the original equation,we obtain what should be a better approximation:y 1 (x) =f(x)+λ∫ baK(x, z)y 0 (z) dz = f(x)+λ∫ baK(x, z)f(z) dz,which is first order in λ. Repeating the procedure once more results in thesecond-order approximationy 2 (x) =f(x)+λ= f(x)+λ∫ ba∫ baK(x, z)y 1 (z) dz∫ b ∫ bK(x, z 1 )f(z 1 ) dz 1 + λ 2 dz 1 K(x, z 1 )K(z 1 ,z 2 )f(z 2 ) dz 2 .It is clear that we may continue this process to obtain progressively higher-orderapproximations to the solution. Introducing the functionsK 1 (x, z) =K(x, z),K 2 (x, z) =K 3 (x, z) =∫ ba∫ bK(x, z 1 )K(z 1 ,z) dz 1 ,<strong>and</strong> so on, which obey the recurrence relationaK n (x, z) =a∫ bdz 1 K(x, z 1 )K(z 1 ,z 2 )K(z 2 ,z) dz 2 ,a∫ baK(x, z 1 )K n−1 (z 1 ,z) dz 1 ,813a

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