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Flashcards

Basics

Simon Majgaard Matrix Analysis English 30 cards

Basics

Cards in this deck (30)

  1. 1Conjugate TransposeAll elements of a matrix are complex conjugated, and the matrix is transposed
  2. 2Transpose, Conjugate TransposeTranspose, Conjugate TransposeTranspose, Conjugate Transpose
  3. 3Involutory Idempotent NilpotentA^2=I
    A^2=A
    A^k=0, k>0
  4. 4Inner product Outer productx*y=scalar
    xy*=matrix (timetable for x and conj(y))
  5. 5Orthogonal vectorsx*y=0 (Inner product of 0)
  6. 6Orthonormal vectorsy*x=0
    y*y=x*x=1
  7. 7Length of a vectorsqrt(x*x)
  8. 8Diagonal MatrixSquare matrix with only non-zero elements in diagonal
  9. 9Upper triangular Lower triangularAll elements below diagonal is zero
    All elements above diagonal is zero
  10. 10Block matrixPartioning of matrix into sub matricies
  11. 11SubmatrixA matrix where some of the columns/rows are deleted
  12. 12Block Diagonal Block triangularBlock Diagonal Block triangular
  13. 13Symmetric MatrixA is square, A^T=A
  14. 14Hermitian matrixA is square, A*=A
  15. 15Positive definite Positive semi-definite indefinitex*Ax > 0 forall x
    x*Ax >= 0 forall x
    (x*Ax)(y*Ay) < 0 for some x,y (Both positive and negative numbers can accur)
  16. 16Kronecker deltadelta_{i,j} = 1 if i==j else 0
  17. 17Orthogonal MatrixQ is real and square
    QQ^T=Q^TQ=I
    columns of Q are orthonormal
    Q1*Q2 is also orthogonal
  18. 18Unitary MatrixU is complex and square
    U*U=UU*=I
  19. 19Permutation MatrixPermutation Matrix
  20. 20Rank(A)Maximum number of linear independent rows or columns of A
    or
    dim(range(A))
  21. 21range(A){y in C: y=Ax, for some x},
    ie. the span of the columns
  22. 22null(A){x in C: Ax=0}, null space of A
  23. 23n - rank(A)?dim(null(A))
  24. 24det(AB) det(A+B) det(A^T) det(alpha*A) det(Q) det(U)det(A)det(B)
    det(A+B)
    det(A)
    alpha^n*det(A)
    +/-1
    On the unit circle
  25. 25det(A), A is block diagonal/triangularproduct of determinants of diagonal blocks
  26. 26InverseB is inverse of A (A^{-1}) if AB=I
  27. 27Singular non-singularA is non-singular if a inverse exists; otherwise singular
  28. 28What is equivelent of A being non-singular?null(A) = {0}, (Ax = 0 iff x=0)
    rank(A) = n (rows or columns of A are linearly independent)
    det(A) =/= 0
    no eigenvalues are 0
  29. 29trace(A)sum of its diagonal elements
  30. 30trace(AB) trace(alpha*A+beta*B)trace(BA)
    alpha*trace(A)+beta*(trace(B))

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Matrix Analysis (Basics) Flashcards on Basics, created by Simon Majgaard on 07/11/2020.
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Simon Majgaard
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