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Cross Product Calculator

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.

Dot Product Calculatora·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.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.Product notation calculator (pi notation)Evaluate a product ∏ f(n) from a lower to an upper index — the multiplicative sibling of summation. Type any expression in n, set the bounds, and it computes the exact product with a term-by-term breakdown. Great for factorials, Wallis-type products and telescoping products.Angle Between Two Vectors Calculatorθ = arccos(a·b / (|a||b|)) in 2D or 3D, in degrees and radians, with the dot product, both magnitudes, the projections and a parallel / perpendicular / acute / obtuse verdict.Column Space Calculator (basis of Col(A), rank, pivot columns)A basis of the column space of any matrix up to 6×6, taken from the ORIGINAL pivot columns rather than the reduced ones — with the rank, the free columns, the full RREF and every row operation.Cramer's Rule CalculatorSolves a 2×2 or 3×3 system with exact fractions, shows every determinant expanded term by term, and when D = 0 separates the two cases most calculators merge: dependent with infinitely many solutions, or inconsistent with none.Eigenvalue and Eigenvector Calculator (2×2 and 3×3, complex supported)Characteristic polynomial, exact eigenvalues — rational, surd like (1±√5)/2, or complex like ±i for a rotation — with eigenvectors, algebraic and geometric multiplicities, and a clear verdict on diagonalizability.Matrix CalculatorAdd, subtract and multiply matrices, scale, transpose, and find the determinant and inverse of A.

Open Cross Product Calculator and you get an answer straight away, with no account to create. Its place is under Matrices & vectors; Dot Product Calculator and Tensor Product Calculator (Kronecker product A ⊗ B) answer the questions closest to this one.

How to use it

  1. Open the tool — no signup or install needed.
  2. Enter your input or adjust the available options.
  3. Get your result instantly, then copy or download it.

Frequently asked questions

What does Cross Product Calculator do?

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.

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 Cross Product Calculator different from Dot Product Calculator?

They sit next to each other but answer different questions: Dot Product Calculator is the one to open when you need it to 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. Pick whichever matches what you're starting from — both are free.

Is there a tool for the next step?

Tensor Product Calculator (Kronecker product A ⊗ B) is the closest one after this: 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.

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.

Further reading

All guides