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Simultaneous Homogeneous Linear Equations 📂Matrix Algebra

Simultaneous Homogeneous Linear Equations

Definition1

In a linear system, if the constant terms are all 00, it is called homogeneous.

a11x1+a12x2++a1nxn=0a21x1+a22x2++a2nxn=0am1x1+am2x2++amnxn=0 \begin{align*} a_{11}x_{1} + a_{12}x_{2} + \cdots + a_{1n}x_{n} &= 0 \\ a_{21}x_{1} + a_{22}x_{2} + \cdots + a_{2n}x_{n} &= 0 \\ &\vdots \\ a_{m1}x_{1} + a_{m2}x_{2} + \cdots + a_{mn}x_{n} &= 0 \end{align*}

Unlike general linear systems, every homogeneous linear system always has a solution because if the constant terms are 00, it obviously has x1=0,x2=0,,xn=0x_{1}=0, x_{2}=0, \dots, x_{n}=0 as a solution. This is called the trivial solution. Solutions that are not trivial are called nontrivial solutions. Since a homogeneous linear system always has a trivial solution, there are only the following two cases for its solutions:

  • Only the trivial solution exists.

  • Both the trivial solution and infinitely many nontrivial solutions exist.

Theorem on Free Variables in Homogeneous Systems

Let’s consider a homogeneous linear system with nn unknowns. Suppose that the number of non-00 rows in the reduced row echelon form of the augmented matrix is rr. Then, the homogeneous system can be represented simply as follows.

x1+()=0x2+()=0xr+()=0 \begin{align*} & x_{1} & & & &+ (\quad) &= 0 & \\ & & x_{2} & & &+ (\quad) &= 0 & \\ & & & \ddots & & & \vdots & \\ & & & & x_{r} &+ (\quad) &= 0 & \end{align*}

This equation has nrn-r free variables. Therefore, if r<nr < n, there is at least one free variable, leading to infinitely many solutions. Hence, a homogeneous linear system with more unknowns than equations has infinitely many solutions.


  1. Howard Anton, Elementary Linear Algebra: Applications Version (12th Edition, 2019), p17-19 ↩︎