Homogeneous System of Linear Equations

Homogeneous System of Linear Equations

Komal MiglaniUpdated on 02 Jul 2025, 07:45 PM IST

In the homogeneous system of linear equations, the constant term in every equation is equal to 0 . i.e., no equation in such systems has a constant term in it. A homogeneous linear system may have one or infinitely many solutions. But it has at least one solution always. In real life, we use a Homogenous system of linear equations to solve the system of linear equations which helps us to solve age-related problems and time related problems.

This Story also Contains

  1. System of Linear Equation
  2. Homogenous System of Linear Equation
  3. Non-Homogenous System of Linear Equations
  4. Solved Examples Based on Homogenous System of Linear Equations
Homogeneous System of Linear Equations
Homogeneous System of Linear Equations

In this article, we will cover the concept of a Homogenous system of linear equations. This category falls under the broader category of Matrices, which is a crucial Chapter in class 12 Mathematics. It is not only essential for board exams but also for competitive exams like the Joint Entrance Examination(JEE Main) and other entrance exams such as SRMJEE, BITSAT, WBJEE, BCECE, and more. Questions based on this topic have been asked frequently in JEE Mains

System of Linear Equation

A system of linear equations are group of $n$ linear equations containing $n$ number of variables.

1. System of 2 Linear Equations:

It is a pair of linear equations in two variables. It is usually of the form

$a_1x +b_1y + c_1 = 0$

$a_2x +b_2y + c_2 = 0$

Finding a solution for this system means finding the values of $x$ and $y$ that satisfy both equations.

2. System of 3 Linear Equations:

It is a group of 3 linear equations in three variables. It is usually of the form

$a_1x +b_1y + +c_1z + d_1 = 0$

$a_2x +b_2y + +c_2z + d_2 = 0$

$a_3x +b_3y + +c_3z + d_3 = 0$

Finding a solution for this system means finding the values of $x, y$, and $z$ that satisfy all three equations.

Homogenous System of Linear Equation

A linear equation with a constant value of zero is called a homogeneous equation. $\\\mathrm{Let,} \\\mathrm{a_1x+b_1y +c_1z=0\;\;\; ...(i)} \\\mathrm{a_2x+b_2y +c_2z=0\;\;\; ...(ii)} \\\mathrm{a_3x+b_3y +c_3z=0\;\;\; ...(iii)} \\\mathrm{be \; three\; homogeneous\; equations} \\\\\mathrm{and \; let\; \Delta = \begin{vmatrix} a_1 & b_1 & c_1\\ a_2 & b_2 & c_2\\ a_3 & b_3 & c_3 \end{vmatrix}}$

Note that $x=y=z=0$ will always satisfy this system of equations. So system of homogeneous equations will always have at least one solution.

Also, the solution $x=0, y=0$, and $z=0$ is called a trivial solution, and other solutions are called non-trivial solutions.

  • If $\Delta \neq 0$, then $x=0, y=0, z=0$ is the only solution of the above system. This solution is also known as a trivial solution.
  • If $\Delta=0$, at least one of $x, y$, and $z$ are non-zero. In this case, we will have non-trivial solutions as well. Also, there would be infinite solutions of such a system of equations.

$\\\mathrm{Let,} \\\mathrm{a_1x+b_1y +c_1z=0\;\;\; ...(i)} \\\mathrm{a_2x+b_2y +c_2z=0\;\;\; ...(ii)} \\\mathrm{a_3x+b_3y +c_3z=0\;\;\; ...(iii)} \\\mathrm{be \; three\; homogeneous\; equation} \\\mathrm{and \; let\; \Delta = \begin{vmatrix} a_1 & b_1 & c_1\\ a_2 & b_2 & c_2\\ a_3 & b_3 & c_3 \end{vmatrix}}$

If $\Delta\neq 0$, then $x=0, y=0, z=0$ is the only solution of the above system. This solution is also known as a trivial solution.

If $\Delta=0$, at least one of $x, y$ and $z$ are non-zero. This solution is called a non-trivial solution.

Explanation: using equation (ii) and (iii), we have

$
\begin{aligned}
&\begin{gathered}
\frac{x}{b_2 c_3-b_3 c_2}=\frac{y}{c_2 a_3-c_3 a_2}=\frac{z}{a_2 b_3-a_3 b_2} \\
\text { or } \frac{x}{\left|\begin{array}{ll}
b_2 & c_2 \\
b_3 & c_3
\end{array}\right|}=\frac{y}{\left|\begin{array}{ll}
c_2 & a_2 \\
c_3 & a_3
\end{array}\right|}=\frac{z}{\left|\begin{array}{ll}
a_2 & b_2 \\
a_3 & b_3
\end{array}\right|}=k \quad(\text { say } k \neq 0) \\
\therefore x=k\left|\begin{array}{ll}
b_2 & c_2 \\
b_3 & c_3
\end{array}\right|, \quad y=k\left|\begin{array}{ll}
c_2 & a_2 \\
c_3 & a_3
\end{array}\right|, \quad \text { and } \quad z=k\left|\begin{array}{ll}
a_2 & b_2 \\
a_3 & b_3
\end{array}\right|
\end{gathered}\\
&\text { Putting these values in equation (i), we have }\\
&a_1\left\{k\left|\begin{array}{ll}
b_2 & c_2 \\
b_3 & c_3
\end{array}\right|\right\}+b_1\left\{k\left|\begin{array}{ll}
c_2 & a_2 \\
c_3 & a_3
\end{array}\right|\right\}+c_1\left\{k\left|\begin{array}{ll}
a_2 & b_2 \\
a_3 & b_3
\end{array}\right|\right\}=0
\end{aligned}$

$\\\mathrm{\Rightarrow a_1\begin{vmatrix} b_2 &c_2 \\ b_3 & c_2 \end{vmatrix}-b_1\begin{vmatrix} a_2 & c_2\\ a_3 &c_3 \end{vmatrix}+c_1\begin{vmatrix} a_2 &b_2 \\ a_3 &b_3 \end{vmatrix} = 0 \;\;\;[\because \; k \neq 0]} \\\mathrm{or \;\; \begin{vmatrix} a_1 & b_1 & c_1\\ a_2 & b_2 & c_2\\ a_3 & b_3 & c_3 \end{vmatrix} = 0 \; or \; \Delta = 0}$

This is the condition for a system to have a Non-trivial solution.

Non-Homogenous System of Linear Equations

A linear equation with a constant value not equal to zero is called a homogeneous equation.

Characteristics of non Homogenous Linear Equations

  • If $|\mathrm{A}| \neq 0$, then the system of equations is consistent and has a unique solution $X=A^{-1} B$
  • If $|A|=0$ and $(\operatorname{adj} A) \cdot B \neq 0$, then the system of equations is inconsistent and has no solution.
  • If $|A|=0$ and $(\operatorname{adj} A) \cdot B=0$, then the system of equations is consistent and has an infinite number of solutions.
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Solved Examples Based on Homogenous System of Linear Equations

Example 1:

Let $\theta \in \left ( 0,\frac{\pi }{2} \right ).$if the system of linear equations.

$\left ( 1+\cos ^{2}\theta \right )x+\sin ^{2}\theta y+4\sin 3\theta z= 0$

$\cos ^{2}\theta x + \left ( 1+\sin ^{2}\theta \right )y+4\sin 3\theta z= 0$

$\cos ^{2}\theta x + \sin ^{2}\theta y+\left ( 1+4\sin 3\theta \right )z= 0$
has a non-trivial solution, then the value of $\theta$is : [JEE MAINS 2021]

Solution

For non-trivial solution $\Delta = 0$

$\Rightarrow \begin{vmatrix} 1+\cos ^{2}\theta& \sin ^{2}\theta &4\sin 3\theta \\ \cos ^{2}\theta&1+\sin ^{2}\theta &4\sin 3\theta \\ \cos ^{2}\theta&\sin ^{2}\theta & 1+4\sin 3\theta \end{vmatrix}= 0$

$R_{3}\rightarrow R_{3}-R_{2},R_{2}\rightarrow R_{2}-R_{1}$

$\Rightarrow \begin{vmatrix} 1+\cos ^{2}\theta& \sin ^{2} \theta&4\sin 3\theta \\ -1& 1&0 \\ 0 & -1 & 1 \end{vmatrix}= 0$
$\Rightarrow \left ( 1+\cos ^{2}\theta \right )-\sin ^{2} \theta\left ( -1 \right )+4\sin 3\theta= 0$

$\Rightarrow 2+4 \sin 3\theta= 0$
$\Rightarrow \sin 3\theta= \frac{-1}{2}$
$\Rightarrow 3\theta= \frac{7\pi}{6},\frac{11\pi}{6}$
$\Rightarrow \theta= \frac{7\pi}{18},\frac{11\pi}{18}$
$But\: \frac{11\pi}{18}\not\in\left ( 0,\frac{\pi}{2} \right )$

$\Rightarrow \theta= \frac{7\pi}{18}$

Example 2 :

If $\alpha+\beta+\gamma=2 \pi,$ then the system of equations

$x+(\cos \gamma) y+(\cos \beta) z=0$

$(\cos \gamma) x+y+(\cos \alpha) z=0$

$(\cos \beta) x+(\cos \alpha) y+z=0$

has: [JEE MAINS 2021]

Solution

$\alpha +\beta +\gamma =2\pi$

$\\ \Delta =\begin{vmatrix} 1 & \cos\gamma &\cos \beta \\ \cos\gamma & 1 & \cos \alpha \\ \cos\beta & \cos \alpha & 1 \end{vmatrix}\\$

$=1+2\cos\alpha \cos\beta \cos\gamma -\cos^{2}\beta -\cos^{2}\alpha -\cos^{2}\gamma \\$

$Let \; \gamma =2\pi-\alpha -\beta \\$

$\Rightarrow \Delta =1+2\cos\alpha \cos\beta \cos\left ( \alpha +\beta \right )-\cos^{2}\left ( \alpha +\beta \right )\\$

$=1+2\cos\alpha \cos\beta \left [ \cos\alpha \cos\beta -\sin\alpha \sin\beta \right ]-\cos^{2}\alpha -\cos^{2}\beta\\$

$-\left [ \cos\alpha \cos\beta -\sin\alpha \sin\alpha \right ]^{2}\\$

$=1+2\cos^{2}\alpha \cos^{2}\beta -2\sin\alpha \sin\beta \cos\alpha \cos\beta -\cos^{2}\alpha -\cos^{2}\beta \\$

$-\cos^{2}\alpha \cos^{2}\beta -\sin^{2}\alpha \sin^{\beta }+2\sin\alpha \sin\beta \cos\alpha \cos\beta \\$

$= 1-\cos^{}\alpha -\cos^{\beta }+\cos^{2}\alpha \cos^{2}\beta -\sin^{2}\alpha \sin^{2}\beta \\$

$=\left ( 1-\cos^{2}\alpha \right )\left ( 1-\cos^{2}\beta \right )-\sin^{2}\alpha \sin^{}\beta \\$

$=\sin^{2}\alpha \sin^{2}\beta -\sin^{2}\alpha \sin^{2}\beta=0$

Example 3:

The following system of linear equations

$7x+6y-2z=0$

$3x+4+2z=0$

$x-2y-6z=0$ has [JEE MAINS 2020]

Solution

$\begin{aligned} &(1)\;\;7 x+6 y-2 z=0\\ &(2)\;\;3 x+4 y+2 z=0\\ &(3)\;\;x-2 y-6 z=0 \end{aligned}$

$\left|\begin{array}{ccc}{7} & {6} & {-2} \\ {3} & {4} & {2} \\ {1} & {-2} & {-6}\end{array}\right| =7(-20)-6(-20)-2(-10)=-140+120+20=0$

so infinite non-trivial solutions exist
now equation (1) +3 equation (3)

$
\begin{aligned}
& 10 x-20 z=0 \\
& x=2 z
\end{aligned}
$

Example 4:

Consider the system of equations:

$x+ay=0, \; y+az=0$ and $z+ax=0$ . Then the set of all real values of 'a' for which the system has a unique solution is: [JEE MAINS 2013]

Solution

Given system of equation is homogeneous, which is:

$
\begin{aligned}
& x+a y=0 \\
& y+a z=0 \\
& z+a x=0 \\
& A=\left|\begin{array}{lll}
1 & a & 0 \\
0 & 1 & a \\
a & 0 & 1
\end{array}\right| \\
& |\mathrm{A}|=\left[1-a\left(-a^2\right)\right]=1+a^3 \neq 0
\end{aligned}
$

Then, the system has only a trivial solution.
Now, $|\mathrm{A}|=0$ only when $a=-1$.
So, for a unique solution, a should not be equal to -1 .

Example 5: If the system of equations
$2 x+3 y-z=0, x+k y-2 z=0$ and $2 x-y+z=0$ has a non-trivial solution $(x, y, z)$, then $\frac{x}{y}+\frac{y}{z}+\frac{z}{x}+k$ is equal to: [JEE MAINS 2019]

Solution

Cramer's rule for solving system of linear equations -
When $\Delta=0$ and $\Delta_1=\Delta_2=\Delta_3=0$,
then the system of equations has infinite solutions.
wherein

$
\begin{aligned}
& a_1 x+b_1 y+c_1 z=d_1 \\
& a_2 x+b_2 y+c_2 z=d_2 \\
& a_3 x+b_3 y+c_3 z=d_3
\end{aligned}
$

and

$
\Delta=\left|\begin{array}{lll}
a_1 & b_1 & c_1 \\
a_2 & b_2 & c_2 \\
a_3 & b_3 & c_3
\end{array}\right|
$

$\Delta_1, \Delta_2, \Delta_3$ are obtained by replacing column 1,2,3 of $\Delta$ by $\left(d_1, d_2, d_3\right)$ column
for non-trivial solution $\mathrm{A}=0$

$
\left|\begin{array}{ccc}
2 & 3 & -1 \\
1 & k & -1 \\
2 & -1 & 1
\end{array}\right|=0
$

$\begin{aligned} & 2(k-2)-3(1+4)-1(-1-2 k)=0 \\ & 2 k-4-15+1+2 k=0 \\ & 4 k=18 \\ & k=\frac{9}{2} \\ & 2 x+3 y-z=0 \\ & x=\frac{z-3 y}{2} \\ & 2 x+2 y-2=0-----(I) \\ & x+\frac{9}{2} y-2 z=0----(I I) \\ & 2 x-y+z=0-----(I I I) \\ & \text { from }(I) \text { and }(I I) \\ & I+I I I \\ & 4 x+2 y=0 \\ & 2 y=-4 x\end{aligned}$

$\begin{aligned} & \frac{x}{y}=-\frac{2}{4}=-\frac{1}{2} \\ & I-I I I \\ & 4 y=2 z \\ & \frac{y}{z}=\frac{2}{4}=\frac{1}{2} \\ & I+3(I I I) \\ & =8 x+2 z=0 \\ & 8 x=-2 z \\ & \frac{x}{z}=\frac{-1}{4} \\ & \text { so } \\ & \frac{x}{y}+\frac{y}{z}+\frac{z}{x}+k= \\ & \frac{-1}{2}+\frac{1}{2}-4+\frac{9}{2}\end{aligned}$

$\frac{1}{2}$

Frequently Asked Questions (FAQs)

Q: How does the concept of a cyclic subspace relate to homogeneous systems?
A:
A cyclic subspace generated by a vector v under a matrix A is closely related to the solutions of homogeneous systems of the form (A - λI)x = 0. The dimension of the cyclic subspace is related to the degree of the minimal polynomial of A for v.
Q: What is the relationship between the solutions of a homogeneous system and the column space of its coefficient matrix?
A:
The solutions of a homogeneous system Ax = 0 are orthogonal to every vector in the column space of A. This orthogonality relationship is a key aspect of the fundamental theorem of linear algebra.
Q: How can the concept of a generalized eigenvector be related to homogeneous systems?
A:
Generalized eigenvectors are solutions to homogeneous systems of the form (A - λI)^k x = 0, where k > 1. They arise when dealing with repeated eigenvalues and are important in finding complete solutions to certain differential equations.
Q: What is the significance of the characteristic polynomial in relation to homogeneous systems?
A:
The characteristic polynomial p(λ) = det(A - λI) arises from the homogeneous system (A - λI)x = 0. Its roots are the eigenvalues of A, which are crucial in understanding the behavior of solutions to differential equations and other applications of homogeneous systems.
Q: How does the concept of a minimal polynomial relate to homogeneous systems?
A:
The minimal polynomial of a matrix A is closely related to the solutions of the homogeneous system (A - λI)x = 0 for various values of λ. It provides information about the structure of the eigenspaces and generalized eigenspaces.
Q: What is the relationship between the solutions of Ax = 0 and A^T x = 0?
A:
The solutions to Ax = 0 form the nullspace of A, while the solutions to A^T x = 0 form the left nullspace of A (or the nullspace of A^T). These spaces are generally different but related through the fundamental theorem of linear algebra.
Q: How can the concept of orthogonal complements be applied to homogeneous systems?
A:
The nullspace of A (solutions to Ax = 0) is the orthogonal complement of the row space of A. This relationship helps in understanding the geometric structure of the solution space.
Q: What is the significance of the rank of the augmented matrix in a homogeneous system?
A:
For a homogeneous system, the rank of the augmented matrix is always equal to the rank of the coefficient matrix. This is because adding the zero column (the constants in a homogeneous system) does not change the rank.
Q: How does the concept of a pivot-free column in RREF relate to homogeneous systems?
A:
A pivot-free column in the RREF of the coefficient matrix corresponds to a free variable in the homogeneous system. Each pivot-free column contributes to the dimension of the solution space.
Q: How can the Jordan canonical form be useful in analyzing homogeneous systems?
A:
The Jordan canonical form of a matrix can provide insights into the structure of solutions for homogeneous systems, especially for systems with repeated eigenvalues. It helps in understanding the geometric multiplicity and algebraic multiplicity of eigenvalues.