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Flashcards

Linear Algebra and Matrices

L H Comms PhD Inglês 8 flashcards

Flashcards do conjunto (8)

  1. 1What three operations can any linear transformation be decomposed into?Every linear transformation
    can be represented as a composition of three operations: a rotation operation, a
    scaling operation, and another rotation operation.
  2. 2Describe the singular value decomposition of HH = UΛ V∗* where U ∈ Nr×Nr and V ∈Nt×Nt are unitary rotation matrices and Λ ∈nr×nt is a rectangular matrix whose diagonal elements are non-negative real numbers and whose off-diagonal elements are zero.
  3. 3Singular ValueThe singular values of a rectangular matrix H are the square roots of the eigenvalues of HH*.
  4. 4Where do we see the singular values in the singular value decompostion H=UΛ V∗The diagonal elements of Λ ie. λi for i≤max(Nt, Nr) are the ordered singular values of the matrix H,
  5. 5Explain how we know that singular values of H are the square roots of the eigenvalues of HH*.HH* = (U)Λ (Λ)^t U*,
    U is unitary
    the elements on the diagonal of Λ are λi
    ie. the squared singular values λi^2 are the eigenvalues of the matrix HH* and
    also of H*H.
  6. 6Unitary MatrixA matrix is called 'unitary' if its conjugate transpose U∗ is also its inverse, ie:
    U*U=UU*=I (the identity)
  7. 7RankThe rank of a matrix A is the dimension of the vector space generated by its columns, or equivalently, the maximal number of linearly independent columns of A
  8. 8The rank of H is equal to...precisely the number of non-zero singular values.

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PhD Comms (Maths) FlashCards sobre Linear Algebra and Matrices, criado por L H em 13-02-2018.
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L H
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