Matrix multiplication
Definition
Let be a ring, let be an matrix over , and let be an matrix over . The product is the matrix with entries for and .
Remarks
The product is defined only when the number of columns of equals the number of rows of . Column of is the matrix–vector product of with column of . The product is associative and distributive, but it is not commutative. If and are the matrices of two linear maps, then is the matrix of their composition.
Explanations
L1 human
To find the entry in row and column of , go along row of and down column of . Multiply the pairs of numbers and add the products. For example, .
What this node needs for W2
- edge instance_of in: one example (0 of 1)
- edge not_instance_of in: one non-example that fails one clause (0 of 1)
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What this needs
To read this node, read these 2 nodes in this order. The foundations come first, and the list ends with this node.
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- Matrix definition
- Matrix multiplication definition
What depends on this
28 nodes use this node, directly or through other nodes.
- Similar matrices 027KDW2K72
- Rank of a product of matrices 02FDWY55AS
- Triangularisation 0363JMQ42Y
- A matrix is invertible iff its determinant is a unit 03Q7RE2HXR
- Rational canonical form 042JWAR3Q0
- Determinant is multiplicative 04CPJ6AF00
- A matrix is diagonalisable iff it has a basis of eigenvectors 056SW1E0AC
- Matrix of a composition is the product of matrices 05Q1B7MH0M
- Associativity of matrix multiplication 073E4XC016
- One-sided inverse of a square matrix is two-sided 0753Y2X5K6
- Determinant of the inverse 0783S9D0ZH
- Jordan normal form 085HQ5G5TE
- Transpose of a product 09GK5PS824
- Matrix determinant lemma 0BC3Q6K92H
- Inverse in terms of the adjugate 0ENVM493VK
- Simultaneous diagonalisation 0FK17N4DKA
- Determinant via the Schur complement 0KA7A4ENVJ
- Diagonalisable iff the minimal polynomial has distinct roots 0MPAJRB23T
- Equivalent matrices 0P21AVFFSP
- Non-commutativity of matrix multiplication 0P506SPZP2
- Distributivity of matrix multiplication 0RXD6EZYBK
- Inverse of a product 0S4WTRE9GG
- Powers of a diagonalisable matrix 0TNR9BQ871
- Invertible matrix 0TWTS88TWN
- Characteristic polynomial does not depend on the basis 0TYMASG33Y
- Diagonalisable matrix 0Y17PEKF24
- Trace of a product is symmetric 0Y4NF1DRKD
- Distinct eigenvalues imply diagonalisable 0Y95Z7MT02
Sources
What links here
Used by
- Rank of a product of matrices 02FDWY55AS
- Determinant is multiplicative 04CPJ6AF00
- Matrix of a composition is the product of matrices 05Q1B7MH0M
- Associativity of matrix multiplication 073E4XC016
- Transpose of a product 09GK5PS824
- Non-commutativity of matrix multiplication 0P506SPZP2
- Distributivity of matrix multiplication 0RXD6EZYBK
- Invertible matrix 0TWTS88TWN
- Trace of a product is symmetric 0Y4NF1DRKD