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  • Operations on matrices

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  • Addition
  • Conjugation
  • Scalar multiplication
  • Row operations
  • Matrix-vector products
  • Multiplication
  • Transpose and adjoint
  • Inverse

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  • Definition of transpose of a matrix
  • Matrix transpose is an involution.
  • The conjugate of the transpose is the transpose of the conjugate.
  • Definition of adjoint (conjugate transpose)
  • The adjoint of a sum is the sum of the adjoints.
  • The adjoint of a matrix-scalar product is the product of the adjoint and the conjugate.
  • Matrix adjoint is an involution.
  • The transpose of a sum of matrices is the sum of the transposes.
  • Transpose commutes with scalar multiplication.
  • The transpose of a product of matrices is the product of the transposes in reverse order.
  • The adjoint of a product of matrices is the product of the adjoints in reverse order.
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  1. Transpose and adjoint

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701–715 of 715 nodes
  • Triangular matrices#23561
  • Two matrices of the same size are equivalent if and only if they have the same rank.#23607
  • Two vectors are orthogonal if and only if the Pythagorean Theorem holds.#23918
  • Unitary matrices#23587
  • Unitary matrices are invertible.#23589
  • Unitary matrices have orthogonal (orthonormal) rows/columns.#23590
  • Unitary matrices preserve inner products.#23591
  • Unitary matrices preserve orthogonal (orthonormal) bases.#23592
  • Using matrices to solve linear systems#23760
  • Vector space isomorphism is an equivalence relation.#24003
  • Vector spaces#23775
  • Vector spaces with the same dimension are isomprphic.#24005
  • Vector sum/addition interpreted geometrically in R^n (or C^n)#23797
  • Vector sum/addition is commutative and associative#23787
  • Visualise a linear transformation on R^2 by looking at the image of a region#23852
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  • Aspen Summer 2016 - Entanglement Matters#1213
  • Math#23168

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