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EntityQ1416088· pop 14· linked from 178 articles

In mathematics, particularly in functional analysis, a seminorm is like a norm but need not be positive definite. Seminorms are intimately connected with convex sets: every seminorm is the Minkowski functional of some absorbing disk and, conversely, the Minkowski functional of any such set is a seminorm.

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19 sections
Contents
  • Definition
  • Examples
  • Minkowski functionals and seminorms
  • Algebraic properties
  • Relationship to other norm-like concepts
  • Inequalities involving seminorms
  • Hahn–Banach theorem for seminorms
  • Topologies of seminormed spaces
  • Pseudometrics and the induced topology
  • Stronger, weaker, and equivalent seminorms
  • Normability and seminormability
  • Topological properties
  • Continuity of seminorms
  • Continuity of linear maps
  • Generalizations
  • See also
  • Notes
  • References
  • External links

In mathematics, particularly in functional analysis, a seminorm is like a norm but need not be positive definite. Seminorms are intimately connected with convex sets: every seminorm is the Minkowski functional of some absorbing disk and, conversely, the Minkowski functional of any such set is a seminorm.

A topological vector space is locally convex if and only if its topology is induced by a family of seminorms.

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