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  2. Coplanarity - Wikipedia

    en.wikipedia.org/wiki/Coplanarity

    In three-dimensional space, two linearly independent vectors with the same initial point determine a plane through that point. Their cross product is a normal vector to that plane, and any vector orthogonal to this cross product through the initial point will lie in the plane. [ 1 ]

  3. Cross product - Wikipedia

    en.wikipedia.org/wiki/Cross_product

    The dot product of two unit vectors behaves just oppositely: it is zero when the unit vectors are perpendicular and 1 if the unit vectors are parallel. Unit vectors enable two convenient identities: the dot product of two unit vectors yields the cosine (which may be positive or negative) of the angle between the two unit vectors.

  4. Euclidean vector - Wikipedia

    en.wikipedia.org/wiki/Euclidean_vector

    Subtraction of two vectors can be geometrically illustrated as follows: to subtract b from a, place the tails of a and b at the same point, and then draw an arrow from the head of b to the head of a. This new arrow represents the vector (-b) + a, with (-b) being the opposite of b, see drawing. And (-b) + a = a − b. The subtraction of two ...

  5. Parallel (geometry) - Wikipedia

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

    In three-dimensional Euclidean space, a line and a plane that do not share a point are also said to be parallel. However, two noncoplanar lines are called skew lines. Line segments and Euclidean vectors are parallel if they have the same direction or opposite direction (not necessarily the same length). [1]

  6. Right-hand rule - Wikipedia

    en.wikipedia.org/wiki/Right-hand_rule

    In mathematics and physics, the right-hand rule is a convention and a mnemonic, utilized to define the orientation of axes in three-dimensional space and to determine the direction of the cross product of two vectors, as well as to establish the direction of the force on a current-carrying conductor in a magnetic field.

  7. Linear independence - Wikipedia

    en.wikipedia.org/wiki/Linear_independence

    That is to say, the north vector cannot be described in terms of the east vector, and vice versa. The third "5 miles northeast" vector is a linear combination of the other two vectors, and it makes the set of vectors linearly dependent, that is, one of the three vectors is unnecessary to define a specific location on a plane.

  8. Equipollence (geometry) - Wikipedia

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

    A property of Euclidean spaces is the parallelogram property of vectors: If two segments are equipollent, then they form two sides of a parallelogram: If a given vector holds between a and b, c and d, then the vector which holds between a and c is the same as that which holds between b and d.

  9. Parallel transport - Wikipedia

    en.wikipedia.org/wiki/Parallel_transport

    Such tangent vectors are said to be parallel transports of each other. More precisely, if γ : I → M a smooth curve parametrized by an interval [ a , b ] and ξ ∈ T x M , where x = γ ( a ) , then a vector field X along γ (and in particular, the value of this vector field at y = γ ( b ) ) is called the parallel transport of ξ along γ if