Tensor Product Calculator (Kronecker product A ⊗ B)
The Kronecker product of two matrices of any shape, block by block, in exact fractions or 6 / 10 significant digits — with the (m·p) × (n·q) size rule and the identities on rank, transpose and determinant.
Related tools
All Matrices & vectors tools →Tensor Product Calculator (Kronecker product A ⊗ B) works straight from this page — free, instant, nothing to install. It sits under Matrices & vectors in our catalogue, alongside Cross Product Calculator and Dot Product Calculator.
How to use it
- Open the tool — no signup or install needed.
- Enter your input or adjust the available options.
- Get your result instantly, then copy or download it.
Frequently asked questions
What is Tensor Product Calculator (Kronecker product A ⊗ B)?
The Kronecker product of two matrices of any shape, block by block, in exact fractions or 6 / 10 significant digits — with the (m·p) × (n·q) size rule and the identities on rank, transpose and determinant.
When would I actually use this?
Checking a decomposition done by hand, solving a linear system, and finding the eigenvalues that describe how a transformation stretches space.
What is the most common mistake?
Inverting a matrix to solve a system. Elimination or a factorisation is both faster and far more stable numerically; an explicit inverse amplifies rounding error, especially when the matrix is close to singular.
How is Tensor Product Calculator (Kronecker product A ⊗ B) different from Cross Product Calculator?
They sit next to each other but answer different questions: Cross Product Calculator is the one to open when you need it to a × b in 3D with the determinant expansion shown, the magnitude |a||b|sin θ, the parallelogram and triangle areas, the unit normal and the right-hand rule. Pick whichever matches what you're starting from — both are free.
Is there a tool for the next step?
Dot Product Calculator is the closest one after this: a·b in 2 to 10 dimensions with the term-by-term sum, both magnitudes as exact radicals, the angle in degrees and radians, the projections, and a figure. Parallel and orthogonal are decided in exact fractions, so (1,1,1)·(2,2,2) returns 0°, not NaN.
What else is worth having open alongside it?
Product notation calculator (pi notation) and Angle Between Two Vectors Calculator — they come up in the same task often enough to be worth a second tab.
Where do the figures come from?
The decompositions follow their textbook definitions with partial pivoting where it applies. Results are exact for small integer matrices and subject to floating-point rounding otherwise.