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  2. Tensor rank decomposition - Wikipedia

    en.wikipedia.org/wiki/Tensor_rank_decomposition

    Practically, this means that a randomly sampled real tensor (from a continuous probability measure on the space of tensors) of size will be a rank-1 tensor with probability zero, a rank-2 tensor with positive probability, and rank-3 with positive probability. On the other hand, a randomly sampled complex tensor of the same size will be a rank-1 ...

  3. Tensor - Wikipedia

    en.wikipedia.org/wiki/Tensor

    The tensors are classified according to their type (n, m), where n is the number of contravariant indices, m is the number of covariant indices, and n + m gives the total order of the tensor. For example, a bilinear form is the same thing as a (0, 2)-tensor; an inner product is an example of a (0, 2)-tensor, but not all (0, 2)-tensors are inner ...

  4. Rank (linear algebra) - Wikipedia

    en.wikipedia.org/wiki/Rank_(linear_algebra)

    For example, to prove (3) ... which is called tensor rank. Tensor order is the number of indices required to write a tensor, and thus matrices all have tensor order 2.

  5. Tensor (intrinsic definition) - Wikipedia

    en.wikipedia.org/wiki/Tensor_(intrinsic_definition)

    The rank of a tensor of order 2 agrees with the rank when the tensor is regarded as a matrix, [3] and can be determined from Gaussian elimination for instance. The rank of an order 3 or higher tensor is however often very difficult to determine, and low rank decompositions of tensors are sometimes of great practical interest. [4]

  6. Levi-Civita symbol - Wikipedia

    en.wikipedia.org/wiki/Levi-Civita_symbol

    A tensor whose components in an orthonormal basis are given by the Levi-Civita symbol (a tensor of covariant rank n) is sometimes called a permutation tensor. Under the ordinary transformation rules for tensors the Levi-Civita symbol is unchanged under pure rotations, consistent with that it is (by definition) the same in all coordinate systems ...

  7. Lanczos tensor - Wikipedia

    en.wikipedia.org/wiki/Lanczos_tensor

    The Lanczos tensor or Lanczos potential is a rank 3 tensor in general relativity that generates the Weyl tensor. [1] It was first introduced by Cornelius Lanczos in 1949. [2] The theoretical importance of the Lanczos tensor is that it serves as the gauge field for the gravitational field in the same way that, by analogy, the electromagnetic four-potential generates the electromagnetic field.

  8. Raising and lowering indices - Wikipedia

    en.wikipedia.org/wiki/Raising_and_lowering_indices

    2.3 General rank. 3 See also. 4 References. Toggle the table of contents. Raising and lowering indices. ... (1,1) tensor is a linear map. An example is the delta, ...

  9. Triple product - Wikipedia

    en.wikipedia.org/wiki/Triple_product

    The triple product is identical to the volume form of the Euclidean 3-space applied to the vectors via interior product. It also can be expressed as a contraction of vectors with a rank-3 tensor equivalent to the form (or a pseudotensor equivalent to the volume pseudoform); see below.