Let ${\displaystyle X}$  be a Hausdorff locally convex topological vector space. A web is a stratified collection of disks satisfying the following absorbency and convergence requirements.^[1]

1. Stratum 1: The first stratum must consist of a sequence ${\displaystyle D_{1},D_{2},D_{3},\ldots }$  of disks in ${\displaystyle X}$  such that their union ${\displaystyle \bigcup _{i\in \mathbb {N} }D_{i}}$  absorbs ${\displaystyle X.}$ 
2. Stratum 2: For each disk ${\displaystyle D_{i}}$  in the first stratum, there must exists a sequence ${\displaystyle D_{i1},D_{i2},D_{i3},\ldots }$  of disks in ${\displaystyle X}$  such that for every ${\displaystyle D_{i}}$ :
   $${\displaystyle D_{ij}\subseteq \left({\tfrac {1}{2}}\right)D_{i}\quad {\text{ for every }}j}$$

    
   and ${\displaystyle \cup _{j\in \mathbb {N} }D_{ij}}$  absorbs ${\displaystyle D_{i}.}$  The sets ${\displaystyle \left(D_{ij}\right)_{i,j\in \mathbb {N} }}$  will form the second stratum.
3. Stratum 3: To each disk ${\displaystyle D_{ij}}$  in the second stratum, assign another sequence ${\displaystyle D_{ij1},D_{ij2},D_{ij3},\ldots }$  of disks in ${\displaystyle X}$  satisfying analogously defined properties; explicitly, this means that for every ${\displaystyle D_{i,j}}$ :
   $${\displaystyle D_{ijk}\subseteq \left({\tfrac {1}{2}}\right)D_{ij}\quad {\text{ for every }}k}$$

    
   and ${\displaystyle \cup _{k\in \mathbb {N} }D_{ijk}}$  absorbs ${\displaystyle D_{ij}.}$  The sets ${\displaystyle \left(D_{ijk}\right)_{i,j,k\in \mathbb {N} }}$  form the third stratum.

Continue this process to define strata ${\displaystyle 4,5,\ldots .}$  That is, use induction to define stratum ${\displaystyle n+1}$  in terms of stratum ${\displaystyle n.}$ 

A strand is a sequence of disks, with the first disk being selected from the first stratum, say ${\displaystyle D_{i},}$  and the second being selected from the sequence that was associated with ${\displaystyle D_{i},}$  and so on. We also require that if a sequence of vectors ${\displaystyle (x_{n})}$  is selected from a strand (with ${\displaystyle x_{1}}$  belonging to the first disk in the strand, ${\displaystyle x_{2}}$  belonging to the second, and so on) then the series ${\displaystyle \sum _{n=1}^{\infty }x_{n}}$  converges.

A Hausdorff locally convex topological vector space on which a web can be defined is called a webbed space.

All of the following spaces are webbed:

• Fréchet spaces.^[2]
• Projective limits and inductive limits of sequences of webbed spaces.
• A sequentially closed vector subspace of a webbed space.^[3]
• Countable products of webbed spaces.^[3]
• A Hausdorff quotient of a webbed space.^[3]
• The image of a webbed space under a sequentially continuous linear map if that image is Hausdorff.^[3]
• The bornologification of a webbed space.
• The continuous dual space of a metrizable locally convex space endowed with the strong dual topology is webbed.^[2]
• If ${\displaystyle X}$  is the strict inductive limit of a denumerable family of locally convex metrizable spaces, then the continuous dual space of ${\displaystyle X}$  with the strong topology is webbed.^[4]
  • So in particular, the strong duals of locally convex metrizable spaces are webbed.^[5]
• If ${\displaystyle X}$  is a webbed space, then any Hausdorff locally convex topology weaker than this (webbed) topology is also webbed.^[3]

If the spaces are not locally convex, then there is a notion of web where the requirement of being a disk is replaced by the requirement of being balanced. For such a notion of web we have the following results:

• Almost open linear map – Map that satisfies a condition similar to that of being an open map.Pages displaying short descriptions of redirect targets
• Barrelled space – Type of topological vector space
• Closed graph – Graph of a map closed in the product spacePages displaying short descriptions of redirect targets
• Closed graph theorem (functional analysis) – Theorems connecting continuity to closure of graphs
• Closed linear operator – Graph of a map closed in the product spacePages displaying short descriptions of redirect targets
• Discontinuous linear map
• F-space – Topological vector space with a complete translation-invariant metric
• Fréchet space – A locally convex topological vector space that is also a complete metric space
• Kakutani fixed-point theorem – Fixed-point theorem for set-valued functions
• Metrizable topological vector space – A topological vector space whose topology can be defined by a metric
• Open mapping theorem (functional analysis) – Condition for a linear operator to be open
• Ursescu theorem – Generalization of closed graph, open mapping, and uniform boundedness theorem

• De Wilde, Marc (1978). Closed graph theorems and webbed spaces. London: Pitman.
• Khaleelulla, S. M. (1982). Counterexamples in Topological Vector Spaces. Lecture Notes in Mathematics. Vol. 936. Berlin, Heidelberg, New York: Springer-Verlag. ISBN 978-3-540-11565-6. OCLC 8588370.
• Kriegl, Andreas; Michor, Peter W. (1997). The Convenient Setting of Global Analysis (PDF). Mathematical Surveys and Monographs. Vol. 53. Providence, R.I: American Mathematical Society. ISBN 978-0-8218-0780-4. OCLC 37141279.
• Kriegl, Andreas; Michor, Peter W. (1997). The Convenient Setting of Global Analysis. Mathematical Surveys and Monographs. American Mathematical Society. pp. 557–578. ISBN 9780821807804.
• Narici, Lawrence; Beckenstein, Edward (2011). Topological Vector Spaces. Pure and applied mathematics (Second ed.). Boca Raton, FL: CRC Press. ISBN 978-1584888666. OCLC 144216834.
• Schaefer, Helmut H.; Wolff, Manfred P. (1999). Topological Vector Spaces. GTM. Vol. 8 (Second ed.). New York, NY: Springer New York Imprint Springer. ISBN 978-1-4612-7155-0. OCLC 840278135.