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  2. Linear density - Wikipedia

    en.wikipedia.org/wiki/Linear_density

    Consider a long, thin rod of mass and length .To calculate the average linear mass density, ¯, of this one dimensional object, we can simply divide the total mass, , by the total length, : ¯ = If we describe the rod as having a varying mass (one that varies as a function of position along the length of the rod, ), we can write: = Each infinitesimal unit of mass, , is equal to the product of ...

  3. Density on a manifold - Wikipedia

    en.wikipedia.org/wiki/Density_on_a_manifold

    An element of the density bundle at x is a function that assigns a volume for the parallelotope spanned by the n given tangent vectors at x. From the operational point of view, a density is a collection of functions on coordinate charts which become multiplied by the absolute value of the Jacobian determinant in the change of coordinates.

  4. Spectrum of a matrix - Wikipedia

    en.wikipedia.org/wiki/Spectrum_of_a_matrix

    The determinant of the matrix equals the product of its eigenvalues. Similarly, the trace of the matrix equals the sum of its eigenvalues. [4] [5] [6] From this point of view, we can define the pseudo-determinant for a singular matrix to be the product of its nonzero eigenvalues (the density of multivariate normal distribution will need this ...

  5. 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.

  6. Volume form - Wikipedia

    en.wikipedia.org/wiki/Volume_form

    If is a compactly supported vector field and is a manifold with boundary, then Stokes' theorem implies (⁡) = ⌋, which is a generalization of the divergence theorem. The solenoidal vector fields are those with div ⁡ X = 0. {\displaystyle \operatorname {div} X=0.}

  7. Lists of vector identities - Wikipedia

    en.wikipedia.org/wiki/Lists_of_vector_identities

    Vector algebra relations — regarding operations on individual vectors such as dot product, cross product, etc. Vector calculus identities — regarding operations on vector fields such as divergence, gradient, curl, etc.

  8. List of physical quantities - Wikipedia

    en.wikipedia.org/wiki/List_of_physical_quantities

    m/s 3: L T −3: vector Jounce (or snap) s →: Change of jerk per unit time: the fourth time derivative of position m/s 4: L T −4: vector Magnetic field strength: H: Strength of a magnetic field A/m L −1 I: vector field Magnetic flux density: B: Measure for the strength of the magnetic field tesla (T = Wb/m 2) M T −2 I −1: pseudovector ...

  9. Cross product - Wikipedia

    en.wikipedia.org/wiki/Cross_product

    The cross product with respect to a right-handed coordinate system. In mathematics, the cross product or vector product (occasionally directed area product, to emphasize its geometric significance) is a binary operation on two vectors in a three-dimensional oriented Euclidean vector space (named here ), and is denoted by the symbol .

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