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mathematics Mathematics is an area of knowledge that includes the topics of numbers, formulas and related structures, shapes and the spaces in which they are contained, and quantities and their changes. These topics are represented in modern mathematics ...
, a biorthogonal system is a pair of
indexed families In mathematics, a family, or indexed family, is informally a collection of objects, each associated with an index from some index set. For example, a ''family of real numbers, indexed by the set of integers'' is a collection of real numbers, whe ...
of vectors \tilde v_i \text E \text \tilde u_i \text F such that \left\langle\tilde v_i , \tilde u_j\right\rangle = \delta_, where E and F form a pair of
topological vector space In mathematics, a topological vector space (also called a linear topological space and commonly abbreviated TVS or t.v.s.) is one of the basic structures investigated in functional analysis. A topological vector space is a vector space that is als ...
s that are in duality, \langle \,\cdot, \cdot\, \rangle is a bilinear mapping and \delta_ is the
Kronecker delta In mathematics, the Kronecker delta (named after Leopold Kronecker) is a function of two variables, usually just non-negative integers. The function is 1 if the variables are equal, and 0 otherwise: \delta_ = \begin 0 &\text i \neq j, \\ 1 & ...
. An example is the pair of sets of respectively left and right
eigenvector In linear algebra, an eigenvector () or characteristic vector of a linear transformation is a nonzero vector that changes at most by a scalar factor when that linear transformation is applied to it. The corresponding eigenvalue, often denoted ...
s of a matrix, indexed by
eigenvalue In linear algebra, an eigenvector () or characteristic vector of a linear transformation is a nonzero vector that changes at most by a scalar factor when that linear transformation is applied to it. The corresponding eigenvalue, often denote ...
, if the eigenvalues are distinct. A biorthogonal system in which E = F and \tilde v_i = \tilde u_i is an orthonormal system.


Projection

Related to a biorthogonal system is the projection P := \sum_ \tilde u_i \otimes \tilde v_i, where (u \otimes v) (x) := u \langle v, x \rangle; its image is the
linear span In mathematics, the linear span (also called the linear hull or just span) of a set of vectors (from a vector space), denoted , pp. 29-30, §§ 2.5, 2.8 is defined as the set of all linear combinations of the vectors in . It can be characterized ...
of \left\, and the
kernel Kernel may refer to: Computing * Kernel (operating system), the central component of most operating systems * Kernel (image processing), a matrix used for image convolution * Compute kernel, in GPGPU programming * Kernel method, in machine learn ...
is \left\.


Construction

Given a possibly non-orthogonal set of vectors \mathbf = \left(u_i\right) and \mathbf = \left(v_i\right) the projection related is P = \sum_ u_i \left(\langle\mathbf, \mathbf\rangle^\right)_ \otimes v_j, where \langle\mathbf,\mathbf\rangle is the matrix with entries \left(\langle\mathbf, \mathbf\rangle\right)_ = \left\langle v_i, u_j\right\rangle. * \tilde u_i := (I - P) u_i, and \tilde v_i := (I - P)^* v_i then is a biorthogonal system.


See also

* * * * *


References

* Jean Dieudonné, ''On biorthogonal systems'' Michigan Math. J. 2 (1953), no. 1, 7–20

{{Functional analysis Topological vector spaces