Linear Algebra & Matrices

Projection Matrix Calculator

Build the exact orthogonal projector onto a full-rank column space.

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

Enter valid values to see the result.

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Understand the subject

What is a projection matrix?

A projection keeps the component inside a chosen subspace and discards the perpendicular remainder.

Use it to project a vector or model output onto an independent column space.

The relationship

The defining relationship

See the structure

What the calculation is doing

Worked interpretation

Read the result in context

P=A(AᵀA)⁻¹Aᵀ

Interpret with care

Important boundary

The entered spanning columns must be independent for this focused formula.

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

P = A(AᵀA)⁻¹Aᵀ

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

Worked example

Example interpretation

The result satisfies P²=P and Pᵀ=P.

P = A(AᵀA)⁻¹Aᵀ

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.

Supported scope

The entered spanning columns must be linearly independent.