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  2. Matrix addition - Wikipedia

    en.wikipedia.org/wiki/Matrix_addition

    The Kronecker sum is different from the direct sum, but is also denoted by ⊕. It is defined using the Kronecker product ⊗ and normal matrix addition. If A is n -by- n , B is m -by- m and I k {\displaystyle \mathbf {I} _{k}} denotes the k -by- k identity matrix then the Kronecker sum is defined by:

  3. Kronecker sum of discrete Laplacians - Wikipedia

    en.wikipedia.org/wiki/Kronecker_sum_of_discrete...

    Based on this, eigenvalues and eigenvectors of the Kronecker sum can also be explicitly calculated. The eigenvalues and eigenvectors of the standard central difference approximation of the second derivative on an interval for traditional combinations of boundary conditions at the interval end points are well known .

  4. Kronecker product - Wikipedia

    en.wikipedia.org/wiki/Kronecker_product

    In mathematics, the Kronecker product, sometimes denoted by ⊗, is an operation on two matrices of arbitrary size resulting in a block matrix.It is a specialization of the tensor product (which is denoted by the same symbol) from vectors to matrices and gives the matrix of the tensor product linear map with respect to a standard choice of basis.

  5. Discrete Laplace operator - Wikipedia

    en.wikipedia.org/wiki/Discrete_Laplace_operator

    where the sum is over all adjacent vertices of , and are the two angles opposite of the edge , and is the vertex area of ; that is, e.g. one third of the summed areas of triangles incident to . It is important to note that the sign of the discrete Laplace-Beltrami operator is conventionally opposite the sign of the ordinary Laplace operator .

  6. Eigenvalues and eigenvectors of the second derivative

    en.wikipedia.org/wiki/Eigenvalues_and...

    These formulas are used to derive the expressions for eigenfunctions of Laplacian in case of separation of variables, as well as to find eigenvalues and eigenvectors of multidimensional discrete Laplacian on a regular grid, which is presented as a Kronecker sum of discrete Laplacians in one-dimension.

  7. Summation by parts - Wikipedia

    en.wikipedia.org/wiki/Summation_by_parts

    It is used to prove Kronecker's lemma, which in turn, is used to prove a version of the strong law of large numbers under variance constraints. It may be used to prove Nicomachus's theorem that the sum of the first n {\displaystyle n} cubes equals the square of the sum of the first n {\displaystyle n} positive integers.

  8. Tensor product of representations - Wikipedia

    en.wikipedia.org/wiki/Tensor_product_of...

    The motivation for the use of the Kronecker sum in this definition comes from the case in which and come from representations and of a Lie group. In that case, a simple computation shows that the Lie algebra representation associated to Π 1 ⊗ Π 2 {\displaystyle \Pi _{1}\otimes \Pi _{2}} is given by the preceding formula.

  9. Kronecker delta - Wikipedia

    en.wikipedia.org/wiki/Kronecker_delta

    The map , representing scalar multiplication as a sum of outer products. The generalized Kronecker delta or multi-index Kronecker delta of order 2 p {\displaystyle 2p} is a type ( p , p ) {\displaystyle (p,p)} tensor that is completely antisymmetric in its p {\displaystyle p} upper indices, and also in its p {\displaystyle p} lower indices.