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  2. Lami's theorem - Wikipedia

    en.wikipedia.org/wiki/Lami's_theorem

    In physics, Lami's theorem is an equation relating the magnitudes of three coplanar, concurrent and non-collinear vectors, which keeps an object in static equilibrium, with the angles directly opposite to the corresponding vectors.

  3. Euclidean vector - Wikipedia

    en.wikipedia.org/wiki/Euclidean_vector

    The resulting vector is sometimes called the resultant vector of a and b. The addition may be represented graphically by placing the tail of the arrow b at the head of the arrow a, and then drawing an arrow from the tail of a to the head of b. The new arrow drawn represents the vector a + b, as illustrated below: [7] The addition of two vectors ...

  4. Sylvester's triangle problem - Wikipedia

    en.wikipedia.org/wiki/Sylvester's_triangle_problem

    Sylvester's theorem or Sylvester's formula describes a particular interpretation of the sum of three pairwise distinct vectors of equal length in the context of triangle geometry. It is also referred to as Sylvester's (triangle) problem in literature, when it is given as a problem rather than a theorem.

  5. Parallelogram of force - Wikipedia

    en.wikipedia.org/wiki/Parallelogram_of_force

    This procedure can be repeated to add F 3 to the resultant F 1 + F 2, and so forth. The parallelogram of forces is a method for solving (or visualizing) the results of applying two forces to an object. When more than two forces are involved, the geometry is no longer a parallelogram, but the same principles apply to a polygon of forces.

  6. Resultant - Wikipedia

    en.wikipedia.org/wiki/Resultant

    Their resultant is defined as the element of k obtained by replacing in the generic resultant the indeterminate coefficients by the actual coefficients of the . The main property of the resultant is that it is zero if and only if P 1 , … , P n {\displaystyle P_{1},\ldots ,P_{n}} have a nonzero common zero in an algebraically closed extension ...

  7. 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.

  8. Triangulation (computer vision) - Wikipedia

    en.wikipedia.org/wiki/Triangulation_(computer...

    The sign implies that is only required to produce a vector which is equal to x up to a multiplication by a non-zero scalar since homogeneous vectors are involved. Before looking at the specific methods, that is, specific functions τ {\displaystyle \tau \,} , there are some general concepts related to the methods that need to be explained.

  9. Screw theory - Wikipedia

    en.wikipedia.org/wiki/Screw_theory

    A common example of a screw is the wrench associated with a force acting on a rigid body. Let P be the point of application of the force F and let P be the vector locating this point in a fixed frame. The wrench W = (F, P × F) is a screw.