Identity matrix
Dependencies:
Let $R$ be a semiring with unity. The identity matrix of size $n$, denoted as $I_n$, is a matrix in $\mathbb{M}_{n, n}(R)$ such that \[ I_n[i, j] = \begin{cases} 1 & i = j \\ 0 & i \neq j \end{cases} \]
Dependency for:
- Standard multivariate normal distribution
- Standard normal random vector on vector space
- General multivariate normal distribution
- Chapman-Kolmogorov equation
- Eigenpair of power of a matrix
- Eigenpair of affine transformation
- Bound on eigenvalues of sum of matrices
- Square matrices form a (semi)ring
- Full-rank square matrix in RREF is the identity matrix
- Inverse of a matrix
- Identity matrix is identity of matrix product
- Elementary row operation is matrix pre-multiplication
- AB = I implies BA = I
Info:
- Depth: 3
- Number of transitive dependencies: 4