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What is the definition of the p-norm for a measurable function when 0<p<+∞0 < p < +\infty?

When 0<p<+∞0 < p < +\infty, the p-norm of a measurable function f is defined as the 1/p1/p power of the Lebesgue integral of the p-th power of its absolute value over the measurable set E.

Conditions

  • E is a measurable subset of Rn\mathbb{R}^n.
  • f is a measurable function on E.
  • 0<p<+∞0 < p < +\infty.

Reasoning, step by step

  1. Identify the measurable set E and the measurable function f.
  2. Take the absolute value of the function, ∣f(x)∣|f(x)|.
  3. Raise the absolute value to the power of p, yielding ∣f(x)∣p|f(x)|^p.
  4. Integrate this expression over the set E.
  5. Raise the resulting integral to the power of 1/p1/p.

Example

The video explicitly writes the formula on the board: ∥f∥p:=(∫E∣f(x)∣pdx)1p\|f\|_p := \left( \int_E |f(x)|^p dx \right)^{\frac{1}{p}}.

Common misconceptions

  • Assuming the p-norm formula is immediately a verified norm; the video clarifies it is a formal definition and its norm axioms must be verified later.
  • Forgetting to take the absolute value before raising to the power of p, which is necessary for the integral to be well-defined for real-valued functions.

Watch the explanation

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Answers are generated from source material and independently checked. Consult the original video or creator if something is unclear.