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  2. Parallelogram law - Wikipedia

    en.wikipedia.org/wiki/Parallelogram_law

    Vectors involved in the parallelogram law. In a normed space, the statement of the parallelogram law is an equation relating norms: ‖ ‖ + ‖ ‖ = ‖ + ‖ + ‖ ‖,.. The parallelogram law is equivalent to the seemingly weaker statement: ‖ ‖ + ‖ ‖ ‖ + ‖ + ‖ ‖, because the reverse inequality can be obtained from it by substituting (+) for , and () for , and then simplifying.

  3. Parallelogram of force - Wikipedia

    en.wikipedia.org/wiki/Parallelogram_of_force

    Figure 1: Parallelogram construction for adding vectors. This construction has the same result as moving F 2 so its tail coincides with the head of F 1, and taking the net force as the vector joining the tail of F 1 to the head of F 2. This procedure can be repeated to add F 3 to the resultant F 1 + F 2, and so forth.

  4. Net force - Wikipedia

    en.wikipedia.org/wiki/Net_force

    Vector diagram for addition of non-parallel forces. In general, a system of forces acting on a rigid body can always be replaced by one force plus one pure (see previous section) torque. The force is the net force, but to calculate the additional torque, the net force must be assigned the line of action.

  5. Polarization identity - Wikipedia

    en.wikipedia.org/wiki/Polarization_identity

    Law of cosines – Property of all triangles on a Euclidean plane; Mazur–Ulam theorem – Surjective isometries are affine mappings; Minkowski distance – Mathematical metric in normed vector space; Parallelogram law – Sum of the squares of all 4 sides of a parallelogram equals that of the 2 diagonals

  6. Force - Wikipedia

    en.wikipedia.org/wiki/Force

    When two forces act on a point particle, the resulting force, the resultant (also called the net force), can be determined by following the parallelogram rule of vector addition: the addition of two vectors represented by sides of a parallelogram, gives an equivalent resultant vector that is equal in magnitude and direction to the transversal ...

  7. Equipollence (geometry) - Wikipedia

    en.wikipedia.org/wiki/Equipollence_(geometry)

    Each translation is representable as a vector in space, only the direction and magnitude being significant, and the location irrelevant. The composition of two translations is given by the head-to-tail parallelogram rule of vector addition; and taking the inverse amounts to reversing direction.

  8. Vector algebra relations - Wikipedia

    en.wikipedia.org/wiki/Vector_algebra_relations

    The following are important identities in vector algebra.Identities that only involve the magnitude of a vector ‖ ‖ and the dot product (scalar product) of two vectors A·B, apply to vectors in any dimension, while identities that use the cross product (vector product) A×B only apply in three dimensions, since the cross product is only defined there.

  9. Affine connection - Wikipedia

    en.wikipedia.org/wiki/Affine_connection

    As a consequence of the lack of origin, points in affine space cannot be added together as this requires a choice of origin with which to form the parallelogram law for vector addition. However, a vector v may be added to a point p by placing the initial point of the vector at p and then transporting p to the terminal point.