In
mathematics, any
vector space V has a corresponding
dual vector space (or just
dual space for short) consisting of all
linear functionals on
V together with a naturally induced linear structure. Dual vector spaces for finite-dimensional vector spaces show up in
tensor analysis. When applied to vector spaces of functions (which are typically infinite-dimensional), dual spaces are used to describe
measures,
distributions, and
Hilbert spaces. Consequently, the dual space is an important concept in
functional analysis.