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Unit Vector Calculator

v̂ = v / |v| in 2 to 10 dimensions, with |v| as a simplified radical, each component exact (−3,6,−2 gives −3/7, 6/7, −2/7), the share each component takes of |v|², the direction cosines and a unit-circle figure.

Vector magnitude calculatorCompute the magnitude (length) of a 3D vector from its components.Interactive Unit Circle VisualizerDrag around the circle and watch all six functions move with the angle, in degrees and radians. Special angles give their exact values — √3/2, not 0.866 — the quadrant signs are named, and tan at 90° says undefined instead of printing a huge number.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.Cross Product Calculatora × 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.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.

Unit Vector Calculator works straight from this page — free, instant, nothing to install. It covers −3,6,−2 gives −3/7, 6/7, −2/7 — adjust any of them and the result follows immediately.

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 Unit Vector Calculator do?

v̂ = v / |v| in 2 to 10 dimensions, with |v| as a simplified radical, each component exact (−3,6,−2 gives −3/7, 6/7, −2/7), the share each component takes of |v|², the direction cosines and a unit-circle figure.

What does it take into account?

It factors in −3,6,−2 gives −3/7, 6/7, −2/7. Change any of them and the output follows immediately.

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 Unit Vector Calculator different from Vector magnitude calculator?

They sit next to each other but answer different questions: Vector magnitude calculator is the one to open when you need it to compute the magnitude (length) of a 3D vector from its components. Pick whichever matches what you're starting from — both are free.

Is there a tool for the next step?

Interactive Unit Circle Visualizer is the closest one after this: Drag around the circle and watch all six functions move with the angle, in degrees and radians. Special angles give their exact values — √3/2, not 0.866 — the quadrant signs are named, and tan at 90° says undefined instead of printing a huge number.

What else is worth having open alongside it?

Angle Between Two Vectors Calculator and Column Space Calculator (basis of Col(A), rank, pivot columns) — 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