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Standard orthogonal base
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In linear algebra , one inner product space of orthogonal basis ( Orthogonal Basis ) twenty-two element is perpendicular to the base . The base element is called the base vector . If the norm of a base vector of an orthonormal basis is unit length 1, then the orthonormal basis or Orthonormal basis is referred to as the orthonormal basis .
The concept of orthogonal basis is very important in both finite and infinite dimensions. In the infinite-dimensional Hilbert space , the orthogonal group is no longer Hamoerji , is to say each element can not be written as a linear combination of a finite number of groups of elements. Therefore, in an infinite-dimensional space, the orthogonal base should be more strictly defined as an element that is linearly independent and bi-orthogonal, and the spanned space is a set of dense subspaces (rather than the entire space) of the original space .
Note that in the space where no inner product is defined, the term "orthogonal basis" is meaningless. Therefore, a Banach space with orthogonal basis is a Hilbert space .
table of Contents
1 example
2 basic properties
3 Existence of orthogonal groups
4 Hamelki
5 See
Example
In Euclidean space {\displaystyle \mathbb {R} ^{3}} {\mathbb {R}}^{{3}}In the set, { e 1 =(1,0,0), e 2 =(0,1,0), e 3 =(0,0,1)} form an orthonormal basis.
A set defined by f n ( x ) = exp(2π inx ):
{ f n : n ∈ Z } constitutes an orthonormal basis on the Fourier space L 2 ([0,1]).
Basic properties
B is H an orthogonal basis on, then H each element of x can be expressed as:
{\displaystyle x=\sum _{b\in B}{\langle x,b\rangle \over \lVert b\rVert ^{2}}b} x=\sum _{{b\in B}}{\langle x,b\rangle \over \lVert b\rVert ^{2}}b
When B is a standard orthogonal basis, it is:
{\displaystyle x=\sum _{b\in B}\langle x,b\rangle b} x=\sum _{{b\in B}}\langle x,b\rangle b
The module length of x is expressed as:
{\displaystyle \|x\|^{2}=\sum _{b\in B}|\langle x,b\rangle |^{2}} \|x\|^{2}=\sum _{{b\in B}}|\langle x,b\rangle |^{2}.
Even if B is not countable, the non-zero entries in the above formula are only countable, so this expression is still valid. The above formula is called the Fourier expansion of x , see the Fourier series .
If B is H an orthonormal basis on, then H " isomorphic " in sequence space L 2 ( B ). Because there H -> L 2 ( B ) is a bijection Φ, such that all H of x and y are:
{\displaystyle \langle \Phi (x),\Phi (y)\rangle =\langle x,y\rangle } \langle \Phi (x),\Phi (y)\rangle =\langle x,y\rangle
The existence of orthogonal bases
Using Zorn's lemma and Gram-Schmidt orthogonalization method, it can be proved that every Hilbert space has a base and an orthogonal base. The cardinality of orthogonal bases in the same space must be the same. When a Hilbert space has an orthonormal base consisting of countable elements, this space is said to be separable.
Hamelji
With the previous definition, it can be known that in the infinite dimension space, the orthonormal basis is no longer the base of the definition of general linear algebra. For distinction, the base under the definition of a general linear algebra is called Hamelji.
In practical applications of the inner product space, Hamelji rarely appears, so when referring to the concept of "base," it is generally referred to as orthogonal basis.
See also
Base (linear algebra)
Orthogonal
Orthogonalization
Gram-Schmidt Orthogonalization
Orthogonal decomposition
Orthogonal matrix
vertical
2 categories :Abstract algebraLinear algebra
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