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No fluctuation approximation in any desired precision for univariate function matrix representations

机译:对于单变量函数矩阵表示,没有任何所需精度的波动近似

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The operator involving problems are mostly handled by using the matrix representations of the operators over a finite set of appropriately chosen basis functions in a Hilbert space as long as the related problem permits. The algebraic operator which multiplies its operand by a function is the focus of this work. We deal with the univariate case for simplicity. We show that a rapidly converging scheme can be constructed by defining an appropriate fluctuation operator which projects, in fact, to the complement of the space spanned by appropriately chosen finite number of basis functions. What we obtain here can be used in efficient numerical integration also. Keywords Matrix representation - Fluctuation expansion - Hilbert spaces - Projection operators - Algebraic multiplication operators
机译:只要相关问题允许,涉及问题的算子大多是通过在希尔伯特空间中适当选择的有限函数的有限集合上使用算子的矩阵表示来处理的。将其操作数乘以一个函数的代数运算符是这项工作的重点。为了简单起见,我们处理单变量情况。我们表明,通过定义一个适当的波动算子可以构建一个快速收敛的方案,该算子实际上投影到由适当选择的有限数量的基函数所跨越的空间的补码上。我们在这里获得的结果也可以用于有效的数值积分。关键词矩阵表示-涨落展开-希尔伯特空间-投影算子-代数乘法算子

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