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Normed and Banach spaces

Vector spaces with a length; completeness; the classical sequence and function spaces.

A norm measures length; a Banach space is a normed space with no missing limits. ℓ^p, L^p and the continuous functions with the sup norm are the standard examples. Picture it: the unit balls for different norms, a diamond, a circle, a square. Think it: completeness is what lets you solve equations by successive approximation (the contraction mapping theorem).

Worked example · sqrt(3^2 + 4^2)

Evaluate sqrt(3^2 + 4^2)

\sqrt{3^{2} + 4^{2}}

Step by step

  1. \sqrt{3^{2} + 4^{2}} = \sqrt{9 + 4^{2}}

    Power: 3^2 = 9.

  2. \sqrt{9 + 4^{2}} = \sqrt{9 + 16}

    Power: 4^2 = 16.

  3. \sqrt{9 + 16} = \sqrt{25}

    Add: 9 + 16 = 25.

  4. \sqrt{25} = 5

    Simplify.

Reveal the answer
5

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How to: Normed and Banach spaces

  1. Power: 3^2 = 9.
  2. Power: 4^2 = 16.
  3. Add: 9 + 16 = 25.
  4. Simplify.

Questions people ask

What is a Hilbert space?

A vector space with an inner product (so lengths and angles make sense) that is complete (no missing limit points). Square-integrable functions form one; quantum states live in one.

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