Linear Algebra & Matrices

Orthogonal Complement Calculator

Find an exact basis for the complement of a column span.

Linear Algebra & Matrices

Enter matrix values

Exact structural results; labelled numerical approximations where required
  1. 1EnterProvide the known values
  2. 2CalculateResults update automatically
  3. 3VerifyReview the details and units
Try an example
Vectors as columns of A

Use signed finite decimals. Fill every visible cell. Fractions, commas, and scientific notation are not accepted.

Linear algebra result

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Understand the subject

What is an orthogonal complement?

The orthogonal complement contains all vectors perpendicular to every vector in a given span.

Use it to find directions that have zero dot product with a whole subspace.

The relationship

The defining relationship

See the structure

What the calculation is doing

Worked interpretation

Read the result in context

Col(A)⊥=Null(Aᵀ)

Interpret with care

Important boundary

Perpendicularity depends on the Euclidean dot product used by this calculator.

Use the Matrix Calculator to experiment with small exact matrix operations before applying a more specialized route.

Quick guide

How to use this calculator

  1. Set the matrix dimensions required by the task.
  2. Fill every visible entry and any operation-specific control.
  3. Read the result type, factors, classification, and disclosed limitations.

Calculation method

Apply the stated linear-algebra contract

Col(A)⊥ = Null(Aᵀ)

Undefined, singular, dimensionally incompatible, dependent, or unsupported inputs receive an explicit message instead of a fabricated numeric result.

Worked example

Example interpretation

Every returned vector has zero dot product with every column of A.

Col(A)⊥ = Null(Aᵀ)

Supported inputs

Precision and limits

Matrix size

Input matrices are limited to 1–6 rows and columns; operation-specific square, rank, or compatibility rules still apply.

Entry precision

Enter signed finite decimals with at most 30 digits and 15 decimal places.

Exactness

Finite decimals become reduced rational numbers and intermediate structural calculations are not rounded.