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  2. Orthogonality - Wikipedia

    en.wikipedia.org/wiki/Orthogonality

    The line segments AB and CD are orthogonal to each other. In mathematics, orthogonality is the generalization of the geometric notion of perpendicularity.Whereas perpendicular is typically followed by to when relating two lines to one another (e.g., "line A is perpendicular to line B"), [1] orthogonal is commonly used without to (e.g., "orthogonal lines A and B").

  3. Orthogonality principle - Wikipedia

    en.wikipedia.org/wiki/Orthogonality_principle

    Toggle Orthogonality principle for linear estimators subsection. 1.1 Example. ... Since the principle is a necessary and sufficient condition for optimality, ...

  4. Orthogonal matrix - Wikipedia

    en.wikipedia.org/wiki/Orthogonal_matrix

    The condition Q T Q = I says that the columns of Q are orthonormal. This can only happen if Q is an m × n matrix with n ≤ m (due to linear dependence). Similarly, QQ T = I says that the rows of Q are orthonormal, which requires n ≥ m .

  5. Legendre polynomials - Wikipedia

    en.wikipedia.org/wiki/Legendre_polynomials

    The orthogonality and completeness of this set of solutions follows at once from the larger framework of Sturm–Liouville theory. The differential equation admits another, non-polynomial solution, the Legendre functions of the second kind. A two-parameter generalization of (Eq.

  6. Associated Legendre polynomials - Wikipedia

    en.wikipedia.org/wiki/Associated_Legendre...

    The associated Legendre polynomials are not mutually orthogonal in general. For example, is not orthogonal to .However, some subsets are orthogonal. Assuming 0 ≤ m ≤ ℓ, they satisfy the orthogonality condition for fixed m:

  7. Rotation matrix - Wikipedia

    en.wikipedia.org/wiki/Rotation_matrix

    Because this equation holds for all vectors, p, one concludes that every rotation matrix, Q, satisfies the orthogonality condition, Q T Q = I . {\displaystyle Q^{\mathsf {T}}Q=I.} Rotations preserve handedness because they cannot change the ordering of the axes, which implies the special matrix condition,

  8. Orthogonal polynomials - Wikipedia

    en.wikipedia.org/wiki/Orthogonal_polynomials

    It induces a notion of orthogonality in the usual way, namely that two polynomials are orthogonal if their inner product is zero. Then the sequence ( P n ) ∞ n =0 of orthogonal polynomials is defined by the relations deg ⁡ P n = n , P m , P n = 0 for m ≠ n . {\displaystyle \deg P_{n}=n~,\quad \langle P_{m},\,P_{n}\rangle =0\quad {\text ...

  9. Rodrigues' formula - Wikipedia

    en.wikipedia.org/wiki/Rodrigues'_formula

    Let (()) = be a sequence of orthogonal polynomials defined on the interval [,] satisfying the orthogonality condition () =,, where () is a suitable weight function, is a constant depending on , and , is the Kronecker delta.