Given a nonempty family of finite-valued seminorms on a real or complex vector space , its seminorm topology has basic open zero neighbourhoods
Their translates form a basis of a topology. Only finite intersections are required: an infinite intersection might impose a stronger topology. Equivalently, put ; then is a seminorm and . See Günther Hörmann, Advanced Functional Analysis, section 4, neighbourhood systems from seminorms for the general construction.
Each defining seminorm is continuous, since . A sequence satisfies precisely when for every ; the same criterion holds for nets. Finitely many measurements can each meet a prescribed tolerance after a common index.
The seminorm axioms also establish the required joint continuity of vector addition and scalar multiplication:
For a basic neighbourhood, apply these estimates to its finitely many seminorms; near the absolute value is bounded. This gives a locally convex space even when some directions are invisible to every measurement.
A family of seminorms separates points when every nonzero vector has for some member . Equivalently, its kernels of seminorms have intersection , or any two distinct vectors have for some . Individual seminorms can have large kernels of seminorms; the whole family must have no common invisible direction.
The associated seminorm topology is Hausdorff if and only if the family separates points. Indeed, if , the neighbourhoods and are disjoint by the triangle inequality. Conversely, if every vanishes on a nonzero , then zero and belong to exactly the same open sets and cannot be separated. This criterion keeps separation distinct from completeness: detecting all directions does not guarantee that all Cauchy sequences have limits.

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