Cross Product Calculator

Compute the 3D cross product a×b and its magnitude.

VectorsLinear AlgebraEngineering Math

Calculator

a₁
a₂
a₃
b₁
b₂
b₃
Please enter valid values.

What this calculator teaches

The cross product produces a vector perpendicular to two 3D vectors.

Its magnitude measures the area of the parallelogram spanned by the vectors.

Formula & Symbols

ConceptFormulaMeaning
Cross producta×b=(a₂b₃-a₃b₂, a₃b₁-a₁b₃, a₁b₂-a₂b₁)Vector perpendicular to a and b.
Magnitude|a×b|=|a||b|sinθArea interpretation.

Step-by-Step Examples

Example 1
i × j
  • a=(1,0,0), b=(0,1,0).
  • Apply the component formula.
✓ a×b=(0,0,1).

Where students use this

🎓
College mathematics
Use the tool to connect notation, formulas, and numeric answers.
🧪
Engineering analysis
Apply the result to models, systems, approximations, and design calculations.
💻
Computer science
Use matrix, vector, numerical, and optimization ideas in algorithms and data work.

Common Mistakes to Avoid

⚠️
Ignoring restrictions

Check denominator, domain, endpoint, and matrix-invertibility conditions before trusting a result.

⚠️
Rounding too early

Carry extra decimals through intermediate steps and round only the final answer.

⚠️
Mixing symbolic and numeric answers

Some topics need exact symbolic reasoning, while this calculator gives a clear numerical learning check.

Frequently Asked Questions

Is this calculator meant for students?
Yes. It gives an answer and shows the main method so students can learn the reasoning instead of copying only the result.
Can I use decimals and negative numbers?
Yes, when the topic allows them. Some formulas have restrictions such as positive radii, nonzero denominators, or valid intervals.
Why can textbook answers look different?
Equivalent algebraic forms, different rounding, or using exact notation instead of decimals can make answers look different while meaning the same thing.

Related Math Calculators

Formula Explorer connections

Interpretation: This relationship represents vectors, linear systems or transformations using matrix structure and vector operations. Assumption: Matrix dimensions must be compatible. Inversion, decomposition and unique solutions require rank, conditioning or nonzero-determinant conditions.

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