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Then define a "norm" on this space as is usual in the non-negative case: $\| f\| = (\int|f|^dx)^$.

If $f$ is equal to zero on a set of positive measure it makes sense to interpret the integral as having an infinite value, which would make the "norm" equal zero.

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Lebesgue spaces have applications in physics, statistics, finance, engineering, and other disciplines. Techniques which use an L1 penalty, like LASSO, encourage solutions where many parameters are zero.

Techniques which use an L2 penalty, like ridge regression, encourage solutions where most parameter values are small.

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