Hermite transform

In mathematics, the Hermite transform is an integral transform named after the mathematician Charles Hermite that uses Hermite polynomials H n ( x ) {\displaystyle H_{n}(x)} as kernels of the transform. The Hermite transform H { F ( x ) } ≡ f H ( n ) {\displaystyle H\{F(x)\}\equiv f_{H}(n)} of a function F ( x ) {\displaystyle F(x)} is H { F ( x ) } ≡ f H ( n ) = ∫ − ∞ ∞ e − x 2 H n ( x ) F ( x ) d x {\displaystyle H\{F(x)\}\equiv f_{H}(n)=\int _{-\infty }^{\infty }e^{-x^{2}}\ H_{n}(x)\ F(x)\ dx} The inverse Hermite transform H − 1 { f H ( n ) } {\displaystyle H^{-1}\{f_{H}(n)\}} is given by H − 1 { f H ( n ) } ≡ F ( x ) = ∑ n = 0 ∞ 1 π 2 n n !

Source: Wikipedia — Hermite transform (CC BY-SA 4.0)

Hermite transform

In mathematics, the Hermite transform is an integral transform named after the mathematician Charles Hermite that uses Hermite polynomials H n ( x ) {\displaystyle H_{n}(x)} as kernels of the transform. The Hermite transform H { F ( x ) } ≡ f H ( n ) {\displaystyle H\{F(x)\}\equiv f_{H}(n)} of a function F ( x ) {\displaystyle F(x)} is H { F ( x ) } ≡ f H ( n ) = ∫ − ∞ ∞ e − x 2 H n ( x ) F ( x ) d x {\displaystyle H\{F(x)\}\equiv f_{H}(n)=\int _{-\infty }^{\infty }e^{-x^{2}}\ H_{n}(x)\ F(x)\ dx} The inverse Hermite transform H − 1 { f H ( n ) } {\displaystyle H^{-1}\{f_{H}(n)\}} is given by H − 1 { f H ( n ) } ≡ F ( x ) = ∑ n = 0 ∞ 1 π 2 n n !

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Source: Wikipedia "Hermite transform" · CC BY-SA 4.0

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