Row Reduce Calculator

The Row Reduce Matrix Calculator allows users to input matrix dimensions and type to calculate the row reduced echelon form, matrix rank, nullity, determinant, and test system consistency with customizable decimal precision.

Use Our Row Reduce Calculator

How to Use the Row Reduce Matrix Calculator

This guide will walk you through using the Row Reduce Matrix Calculator, which is designed to help you find the row reduced echelon form of a matrix and understand its properties such as rank, nullity, determinant, and system consistency.

Step 1: Input Matrix Dimensions

  • Number of Rows: Enter the number of rows for your matrix in the designated field. You can input any whole number between 1 and 5.
  • Number of Columns: Enter the number of columns. The acceptable range is between 1 and 6. Both fields are required for the calculations.

Step 2: Choose the Matrix Type

Select the type of matrix you are working with:

  • Standard Matrix: A regular matrix with only coefficients of the linear equations.
  • Augmented Matrix: A matrix that includes both the coefficients and constants from the equations.

This selection is crucial for determining the correct calculations and results.

Step 3: Set Decimal Precision

Choose your desired level of decimal precision for the result outputs:

  • 2 Decimal Places
  • 4 Decimal Places
  • 6 Decimal Places – depending on how precise you need your calculations to be.

Step 4: Calculate and Understand the Results

After inputting the necessary information, the calculator will provide results for the following:

  • Row Reduced Echelon Form: The matrix after performing row reduction, presented with the selected decimal precision.
  • Matrix Rank: The rank of the matrix indicating the number of linearly independent rows.
  • Matrix Nullity: Number of free variables in the matrix computed as the difference between the number of columns and rank.
  • Determinant: This is provided only if the matrix is square, giving insight into the matrix’s properties such as invertibility.
  • System Consistency: Indicates whether the system of equations is consistent (1) or inconsistent (0).

Use these results to better analyze and interpret the structure and solutions of the matrix or system of equations you are working with.