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The Method of Least Squares for Boundary Value Problems

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Abstract

The method of least squares is used to construct approximate solutions to the boundary value problem rf=g0, B¡(f) = 0 for z'=l, ...,/c, on the interval [a, b], where t is an zzth order formal differential operator, g0it) is a given function in L? [a, b], and By, ..., Bk are linearly independent boundary values.Letting H"[a, b] denote the space of all functions/(z) in C"_1[a, b] with/"'""1' absolutely continuous on [a, bl and/"" in L2[a, b], a sequence of functions f,(Z) (z'=l, 2, ...) in H"[a, ¿>] is constructed satisfying the boundary conditions and a completeness condition.Assuming the boundary value problem has a solution, the approximate solutions fit ) = 2} = i a'iit(t) (z'=l,2, ...) are constructed; the coefficients a\ are determined uniquely from the system of equations 2 irS"riM = igo,rSt), 1= 1, ...,/, where (/, g) denotes the inner product in L2[a, b].The approximate solutions are shown to converge to a solution of the boundary value problem, and error estimates are established.functions f(t) which are square-integrable on [a, b].The usual inner product and norm in S are denoted by (fig) and ||/||, and we denote convergence in S by ft -*-f.For any operator L in S we denote its domain, range, and null space by 3>(L), 3i(L), and Jf(L), respectively.

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