What is Orthonormal basis: Definition and 68 Discussions

In mathematics, particularly linear algebra, an orthonormal basis for an inner product space V with finite dimension is a basis for V whose vectors are orthonormal, that is, they are all unit vectors and orthogonal to each other. For example, the standard basis for a Euclidean space Rn is an orthonormal basis, where the relevant inner product is the dot product of vectors. The image of the standard basis under a rotation or reflection (or any orthogonal transformation) is also orthonormal, and every orthonormal basis for Rn arises in this fashion.
For a general inner product space V, an orthonormal basis can be used to define normalized orthogonal coordinates on V. Under these coordinates, the inner product becomes a dot product of vectors. Thus the presence of an orthonormal basis reduces the study of a finite-dimensional inner product space to the study of Rn under dot product. Every finite-dimensional inner product space has an orthonormal basis, which may be obtained from an arbitrary basis using the Gram–Schmidt process.
In functional analysis, the concept of an orthonormal basis can be generalized to arbitrary (infinite-dimensional) inner product spaces. Given a pre-Hilbert space H, an orthonormal basis for H is an orthonormal set of vectors with the property that every vector in H can be written as an infinite linear combination of the vectors in the basis. In this case, the orthonormal basis is sometimes called a Hilbert basis for H. Note that an orthonormal basis in this sense is not generally a Hamel basis, since infinite linear combinations are required. Specifically, the linear span of the basis must be dense in H, but it may not be the entire space.
If we go on to Hilbert spaces, a non-orthonormal set of vectors having the same linear span as an orthonormal basis may not be a basis at all. For instance, any square-integrable function on the interval [−1, 1] can be expressed (almost everywhere) as an infinite sum of Legendre polynomials (an orthonormal basis), but not necessarily as an infinite sum of the monomials xn.

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  1. nomadreid

    I Why Use Gram-Schmidt to Make a Unitary Matrix?

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  2. George Keeling

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  3. S

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  4. H

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  5. M

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  6. M

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  7. The black vegetable

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  8. Jd_duarte

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  9. S

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  10. Pushoam

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  11. D

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  12. L

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    Hi! I have an orthonormal basis for vector space $V$, $\{u_1, u_2, ..., u_n\}$. If $(v_1, v_2, ..., v_n) = (u_1, u_2, ... u_n)A$ where $A$ is a real $n\times n$ matrix, how do I prove that $(v_1, v_2, ... v_n)$ is an orthonormal basis if and only if $A$ is an orthogonal matrix? Thanks!
  13. dreens

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  14. L

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  15. RJLiberator

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  16. Tony Stark

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  17. Tony Stark

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  18. A

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  19. R

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  20. S

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    I have been recently trying to derive the Einstein tensor and stress energy momentum tensor for a certain traversable wormhole metric. In my multiple attempts at doing so, I used a coordinate basis. My calculations were correct, but the units of some of the elements of the stress energy momentum...
  21. C

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  22. D

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  23. C

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  24. Petrus

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  25. P

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  26. Sudharaka

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  27. A

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  28. M

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  29. F

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  30. M

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  31. U

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  32. V

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  33. T

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  34. mnb96

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  35. B

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  36. V

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  37. L

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  38. M

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  39. A

    Finding an orthonormal basis for a reproducing kernel Hilbert space.

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  40. P

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  41. T

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  42. L

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  43. M

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  44. M

    Find Orthonormal Basis of R3: u1,u2,u3

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  45. A

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  46. I

    How do I find the orthonormal basis for the intersection of subspaces U and V?

    Homework Statement Hi, i am trying to do the question on the image, Can some one help me out with the steps. [PLAIN]http://img121.imageshack.us/img121/6818/algebra0.jpg Solution in the image is right but my answer is so off from the current one. Homework Equations The...
  47. L

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  48. A

    Finding Orthonormal Basis of Hilbert Space wrt Lattice of Subspaces

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  49. H

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  50. H

    Orthonormal basis spanned by 2 matrices

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