Unlock the Null Space: Homogeneous System Solver
Effortlessly find the basis for the null space of a matrix, solving systems of the form Ax=0.
Enter Coefficient Matrix (A)
Null Space Basis:
Understanding Null Space
The null space of a matrix A, denoted as Null(A), is the set of all vectors x such that Ax = 0. In simpler terms, it's the subspace of vectors that are "annihilated" by the matrix transformation.
Visualizing the null space depends on its dimension. If the null space is:
- Trivial (only the zero vector): It's just the origin point in vector space.
- One-dimensional: It's a line passing through the origin.
- Two-dimensional: It's a plane passing through the origin.
- And so on for higher dimensions...
For deeper visual exploration, consider using linear algebra software that offers graphical representations of subspaces.
What is a Homogeneous System and Null Space?
In linear algebra, a homogeneous system of linear equations is a system where all the constant terms are zero. It's represented as Ax = 0, where A is the coefficient matrix, and x is the vector of variables.
The null space (or kernel) of a matrix A is the set of all vectors x that satisfy the homogeneous equation Ax = 0. Finding the null space is crucial in understanding the solutions to linear systems and the properties of linear transformations. The basis for the null space provides a fundamental set of vectors that span this subspace.
This tool helps you calculate the basis for the null space of any given matrix, providing valuable insights into the solutions of homogeneous systems. For further learning, explore resources on linear algebra, matrix theory, and vector spaces.