Kronecker Product Properties
From the book
Chapter 10: Matrix Block Partitioning. In the chapter mind map this icon labels Props: $(A \otimes B)^{-1} = A^{-1} \otimes B^{-1}$ & Trace. The discussion below is excerpted and lightly edited from § Opening in Mathematics for AI and Machine Learning.
Block matrices and Kronecker products: structural tools for scalable computation
What this drawing shows
What you see. Summarizes structural rules of Kronecker products, including block expansion and compatibility with vectorization.
In the mind map. Chapter 10 — Props: & Trace. See From the book above for definitions, figures, and worked examples.
Where to read next
Read the full definitions, figures, and worked examples in Chapter 10: Matrix Block Partitioning — see the mind-map node Props: & Trace.