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  2. Four-vector - Wikipedia

    en.wikipedia.org/wiki/Four-vector

    A four-vector A is a vector with a "timelike" component and three "spacelike" components, and can be written in various equivalent notations: [3] = (,,,) = + + + = + = where A α is the magnitude component and E α is the basis vector component; note that both are necessary to make a vector, and that when A α is seen alone, it refers strictly to the components of the vector.

  3. Tetrad formalism - Wikipedia

    en.wikipedia.org/wiki/Tetrad_formalism

    The tetrad formalism is an approach to general relativity that generalizes the choice of basis for the tangent bundle from a coordinate basis to the less restrictive choice of a local basis, i.e. a locally defined set of four [a] linearly independent vector fields called a tetrad or vierbein. [1]

  4. Durand–Kerner method - Wikipedia

    en.wikipedia.org/wiki/Durand–Kerner_method

    In numerical analysis, the Weierstrass method or Durand–Kerner method, discovered by Karl Weierstrass in 1891 and rediscovered independently by Durand in 1960 and Kerner in 1966, is a root-finding algorithm for solving polynomial equations. [1]

  5. Derivations of the Lorentz transformations - Wikipedia

    en.wikipedia.org/wiki/Derivations_of_the_Lorentz...

    The prime examples of such four-vectors are the four-position and four-momentum of a particle, and for fields the electromagnetic tensor and stress–energy tensor. The fact that these objects transform according to the Lorentz transformation is what mathematically defines them as vectors and tensors; see tensor for a definition.

  6. Root system - Wikipedia

    en.wikipedia.org/wiki/Root_system

    The root system E 7 is the set of vectors in E 8 that are perpendicular to a fixed root in E 8. The root system E 7 has 126 roots. The root system E 6 is not the set of vectors in E 7 that are perpendicular to a fixed root in E 7, indeed, one obtains D 6 that way. However, E 6 is the subsystem of E 8 perpendicular to two suitably chosen roots ...

  7. Vector projection - Wikipedia

    en.wikipedia.org/wiki/Vector_projection

    The rejection of a vector from a plane is its orthogonal projection on a straight line which is orthogonal to that plane. Both are vectors. The first is parallel to the plane, the second is orthogonal. For a given vector and plane, the sum of projection and rejection is equal to the original vector.

  8. Splitting principle - Wikipedia

    en.wikipedia.org/wiki/Splitting_principle

    In the complex case, the line bundles or their first characteristic classes are called Chern roots. The fact that p ∗ : H ∗ ( X ) → H ∗ ( Y ) {\displaystyle p^{*}\colon H^{*}(X)\rightarrow H^{*}(Y)} is injective means that any equation which holds in H ∗ ( Y ) {\displaystyle H^{*}(Y)} (say between various Chern classes) also holds in ...

  9. Minkowski addition - Wikipedia

    en.wikipedia.org/wiki/Minkowski_addition

    Minkowski addition and convex hulls. The sixteen dark-red points (on the right) form the Minkowski sum of the four non-convex sets (on the left), each of which consists of a pair of red points. Their convex hulls (shaded pink) contain plus-signs (+): The right plus-sign is the sum of the left plus-signs.