Infinite dimensional vectorial (dot) product)

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The discussion centers on the definition of the scalar product for functions within a function space, represented as \(\int_{a}^{b}dx f^{*}(x)g(x)\). It explores the concept of a vectorial product, specifically the cross product, which is inherently limited to three-dimensional spaces. The conversation highlights the challenges in extending the cross product to function spaces, emphasizing that the cross product's definition does not translate well beyond three dimensions, making the inquiry into its analogue for functions not well defined.

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Klaus_Hoffmann
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If for a function space , we can define the scalar product of any given 2 functions as

[tex]\int_{a}^{b}dx f^{*}(x)g(x)[/tex]

what happens with its analogue the 'dot/cross' (vectorial product of 2 vectors which is itself another vector orthogonal to the 2 given ones)

the question is not in vane since to define the dual basis of any vector

[tex]\tilde{\omega}^i = {1 \over 2} \, \left\langle { \epsilon^{ijk} \, (\vec e_j \times \vec e_k) \over \vec e_1 \cdot \vec e_2 \times \vec e_3} , \qquad \right\rangle[/tex]

hence for a function space we would find that.

[tex]h(x) = (??) f(x) \times g(x)[/tex]
 
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The cross product is only defined in 3 dimensions so your question does not appear to me to be "well defined".
 

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