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Homogeneous System of Linear Equations

Homogeneous System of Linear Equations

Edited By Komal Miglani | Updated on Jul 02, 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)

1. What is a homogeneous system of linear equations?
A homogeneous system of linear equations is a set of linear equations where all constant terms are zero. In other words, each equation in the system is set equal to zero. For example, 2x + 3y = 0 and 4x - y = 0 form a homogeneous system.
2. What is the trivial solution of a homogeneous system?
The trivial solution of a homogeneous system is the solution where all variables are equal to zero. This solution always exists for any homogeneous system, regardless of the number of equations or variables.
3. What is the geometric interpretation of a homogeneous system's solution space?
The solution space of a homogeneous system is always a subspace of the vector space containing the variables. It passes through the origin and can be a point (trivial solution only), a line, a plane, or a higher-dimensional subspace.
4. Can a homogeneous system have infinitely many solutions?
Yes, a homogeneous system can have infinitely many solutions. This occurs when the system is underdetermined, meaning there are more variables than independent equations. In this case, the solution space forms a line, plane, or higher-dimensional subspace passing through the origin.
5. How is the determinant related to the solutions of a homogeneous system?
For a square system (equal number of equations and variables), if the determinant of the coefficient matrix is non-zero, the system has only the trivial solution. If the determinant is zero, the system has infinitely many solutions.
6. How does a homogeneous system differ from a non-homogeneous system?
The main difference is that a homogeneous system always has at least one solution (the trivial solution where all variables are zero), while a non-homogeneous system may or may not have a solution. Non-homogeneous systems have non-zero constant terms in at least one equation.
7. What does it mean for a homogeneous system to be consistent?
A homogeneous system is always consistent because it always has at least one solution (the trivial solution). This is in contrast to non-homogeneous systems, which may be inconsistent if they have no solutions.
8. What is the relationship between the null space of a matrix and the solutions of a homogeneous system?
The null space of a matrix A is precisely the set of all solutions to the homogeneous system Ax = 0. In other words, finding the null space is equivalent to solving the corresponding homogeneous system.
9. How does the concept of linear independence relate to homogeneous systems?
A set of vectors is linearly independent if and only if the homogeneous system formed by setting their linear combination equal to zero has only the trivial solution. If the system has non-trivial solutions, the vectors are linearly dependent.
10. How does the rank-nullity theorem apply to homogeneous systems?
The rank-nullity theorem states that for a matrix A with n columns, rank(A) + nullity(A) = n. In the context of homogeneous systems, this means the number of free variables (nullity) plus the number of basic variables (rank) equals the total number of variables.
11. How does Gaussian elimination help in solving homogeneous systems?
Gaussian elimination can be used to transform the system into row echelon form or reduced row echelon form. This process helps identify free variables and express basic variables in terms of free variables, making it easier to describe the solution set.
12. Can a homogeneous system with more equations than variables have non-trivial solutions?
Generally, no. A homogeneous system with more equations than variables (overdetermined system) typically has only the trivial solution, unless some equations are redundant or inconsistent with others.
13. What is the connection between eigenvalues and homogeneous systems?
Eigenvalues are scalar values λ for which the homogeneous system (A - λI)x = 0 has non-trivial solutions, where A is a square matrix and I is the identity matrix. Finding eigenvalues involves solving a characteristic equation derived from this homogeneous system.
14. What is the connection between homogeneous systems and the kernel of a linear transformation?
The kernel (or nullspace) of a linear transformation T is the set of all vectors x such that T(x) = 0. This is equivalent to solving the homogeneous system Ax = 0, where A is the matrix representation of T.
15. What determines whether a homogeneous system has only the trivial solution or infinitely many solutions?
The number of solutions depends on the rank of the coefficient matrix. If the rank equals the number of variables, the system has only the trivial solution. If the rank is less than the number of variables, the system has infinitely many solutions.
16. How can you visualize the solutions of a homogeneous system with two variables?
For a 2x2 homogeneous system, the solutions can be visualized as lines passing through the origin in the xy-plane. If there's only the trivial solution, you'll see a single point at the origin. If there are infinitely many solutions, you'll see a line through the origin.
17. What is the significance of free variables in a homogeneous system?
Free variables in a homogeneous system indicate that the system has infinitely many solutions. Each free variable can take on any value, and the other variables (basic variables) are expressed in terms of these free variables.
18. How can parametric equations be used to describe the solutions of a homogeneous system?
Parametric equations express the solutions in terms of one or more parameters. For a homogeneous system with free variables, each free variable can be assigned a parameter, and the basic variables are expressed in terms of these parameters.
19. How does the principle of superposition apply to homogeneous systems?
The principle of superposition states that any linear combination of solutions to a homogeneous system is also a solution. This property is fundamental to the structure of solution spaces of homogeneous systems.
20. What is the relationship between the columns of the coefficient matrix and the solutions of a homogeneous system?
The solutions of a homogeneous system Ax = 0 are the vectors x that, when multiplied by the columns of A, result in the zero vector. In other words, solutions are vectors that make the columns of A linearly dependent.
21. How does the concept of vector spaces relate to the solutions of homogeneous systems?
The set of all solutions to a homogeneous system forms a vector space, specifically a subspace of the space containing the variables. This subspace includes the zero vector and is closed under addition and scalar multiplication.
22. What role do pivots play in analyzing homogeneous systems?
Pivots in the row-reduced echelon form of the coefficient matrix correspond to basic variables. The number of pivots equals the rank of the matrix. Variables without pivots are free variables, indicating the dimension of the solution space.
23. How can you determine if a homogeneous system has only the trivial solution without solving it explicitly?
You can determine this by checking if the determinant of the coefficient matrix (for square systems) is non-zero, or if the rank of the coefficient matrix equals the number of variables. Either condition guarantees only the trivial solution.
24. Can a homogeneous system with a singular coefficient matrix have only the trivial solution?
No, if the coefficient matrix is singular (determinant is zero), the homogeneous system will always have infinitely many solutions. A singular matrix implies that the equations are linearly dependent, leading to free variables in the solution.
25. What is the significance of the Cayley-Hamilton theorem in the context of homogeneous systems?
The Cayley-Hamilton theorem states that every square matrix satisfies its own characteristic equation. This implies that if p(λ) is the characteristic polynomial of A, then p(A) = 0, which is a homogeneous matrix equation. This theorem has implications for solving certain types of homogeneous systems and understanding the structure of the solutions.
26. What is the significance of the zero vector in homogeneous systems?
The zero vector is always a solution to any homogeneous system. It represents the trivial solution where all variables are zero. The existence of non-zero solutions determines whether the system has only the trivial solution or infinitely many solutions.
27. How does the concept of linear transformations relate to homogeneous systems?
A homogeneous system Ax = 0 can be viewed as a linear transformation T(x) = Ax that maps vectors to the zero vector. The null space of this transformation (ker(T)) is the set of all solutions to the homogeneous system.
28. Can a homogeneous system have exactly one non-trivial solution?
No, a homogeneous system cannot have exactly one non-trivial solution. It either has only the trivial solution (x = 0) or infinitely many solutions. This is because if cx is a solution (where c is a scalar), then any multiple of cx is also a solution.
29. What is the significance of a homogeneous system in the context of linear independence?
A set of vectors {v₁, v₂, ..., vₙ} is linearly independent if and only if the homogeneous equation c₁v₁ + c₂v₂ + ... + cₙvₙ = 0 has only the trivial solution (all cᵢ = 0). This concept is crucial in determining basis vectors for vector spaces.
30. How does the solution set of a homogeneous system relate to the column space of its coefficient matrix?
The solution set of a homogeneous system Ax = 0 is orthogonal to the column space of A. In other words, every solution vector is perpendicular to all vectors in the column space of A.
31. How does the concept of linear combinations relate to homogeneous systems?
The solutions to a homogeneous system can be expressed as linear combinations of basis vectors for the null space of the coefficient matrix. These basis vectors represent the fundamental solutions from which all other solutions can be derived.
32. What is the connection between homogeneous systems and the fundamental theorem of linear algebra?
The fundamental theorem of linear algebra relates the four fundamental subspaces of a matrix: row space, column space, null space, and left null space. For a homogeneous system Ax = 0, the null space of A is the solution space, and its dimension is related to the dimensions of the other subspaces.
33. How does the concept of a basis for the null space relate to solving homogeneous systems?
A basis for the null space of the coefficient matrix provides a complete description of all solutions to the homogeneous system. Any solution can be expressed as a linear combination of the basis vectors, which correspond to fundamental solutions of the system.
34. What is the significance of the reduced row echelon form (RREF) in solving homogeneous systems?
The RREF of the coefficient matrix reveals the structure of the solution space. It clearly shows which variables are free and how the basic variables depend on the free variables, making it easier to express the general solution of the system.
35. How can the Jordan canonical form be useful in analyzing homogeneous systems?
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.
36. What is the relationship between homogeneous systems and systems of differential equations?
Homogeneous systems of linear differential equations can be solved using techniques similar to those used for homogeneous systems of algebraic equations. The solutions often involve exponential functions related to the eigenvalues of the coefficient matrix.
37. How does the concept of a nullspace relate to the solutions of a homogeneous system?
The nullspace of a matrix A is exactly the set of all solutions to the homogeneous system Ax = 0. Finding a basis for the nullspace is equivalent to finding a complete set of linearly independent solutions to the homogeneous system.
38. Can a homogeneous system have a unique non-zero solution?
No, a homogeneous system cannot have a unique non-zero solution. If it has any non-zero solution, it must have infinitely many solutions because any scalar multiple of a solution is also a solution.
39. How does the concept of linear dependence relate to the solutions of homogeneous systems?
If the columns of the coefficient matrix are linearly dependent, the homogeneous system will have non-trivial solutions. This is because linear dependence implies that there exists a non-zero vector x such that Ax = 0.
40. What is the significance of the dimension of the solution space in a homogeneous system?
The dimension of the solution space equals the number of free variables in the system. It represents the degrees of freedom in the solution and is equal to the nullity of the coefficient matrix.
41. How can the Gram-Schmidt process be related to solving homogeneous systems?
While not directly used to solve homogeneous systems, the Gram-Schmidt process can be used to find an orthonormal basis for the nullspace of the coefficient matrix, which represents a set of orthogonal solutions to the homogeneous system.
42. How does the concept of a pivot-free column in RREF relate to homogeneous systems?
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.
43. What is the significance of the rank of the augmented matrix in a homogeneous system?
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.
44. How can the concept of orthogonal complements be applied to homogeneous systems?
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.
45. What is the relationship between the solutions of Ax = 0 and A^T x = 0?
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.
46. How does the concept of a minimal polynomial relate to homogeneous systems?
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.
47. What is the significance of the characteristic polynomial in relation to homogeneous systems?
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.
48. How can the concept of a generalized eigenvector be related to homogeneous systems?
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.
49. What is the relationship between the solutions of a homogeneous system and the column space of its coefficient matrix?
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.
50. How does the concept of a cyclic subspace relate to homogeneous systems?
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.

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