Non-zero solution of a homogenous system

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In summary, the theorem states that a matrix A will have a non-trivial solution for Ax=0 if and only if the determinant of A is equal to 0. This can be understood in terms of the geometric meaning of a determinant as the signed volume change of a linear transformation. A zero determinant means that the transformed volume is zero, indicating that the basis vectors are not linearly independent and there must be a non-trivial solution for Ax=0. For a more in-depth proof, refer to books such as "Linear Algebra" by Lang.
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sunny110
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Hi,
Could anyone give me a proof for the following theorem?
Theorem : Ax=0 has a non-trivial solution iff det(A)=0

Thanks in advance.
/Sunny
 
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You will find the proof in books such as "Linear Algebra" by Lang. I suggest you check out that book.
 
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This is easier to understand if you think about the geometric meaning of a determinant.

A matrix [itex]A[/itex] represents a linear transformation in a given basis. The determinant is a property of the matrix, but it's also a property of the linear transformation it represents, independently of any basis. The determinant is simply the signed volume change of the volume element.

Now we can see what a zero determinant means: it means the transformed volume element is zero. This transformation has squished it down into a lower-dimensional subspace, which means the mapped basis vectors can't be linearly independent. That means there's a nontrivial linear combination of basis vectors which maps to 0. In other words, there must be some [itex]x[/itex] in this basis such that [itex]Ax = 0[/itex].
 
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1. What is a non-zero solution of a homogenous system?

A non-zero solution of a homogenous system is a set of values for the variables in the system that makes all of the equations in the system equal to zero. This means that the system has at least one solution that is not equal to zero.

2. How is a non-zero solution different from a zero solution?

A zero solution is a set of values for the variables in a homogenous system that makes all of the equations in the system equal to zero. This means that all of the variables in the system are equal to zero. A non-zero solution, on the other hand, has at least one variable that is not equal to zero, making it a non-trivial solution.

3. Can a homogenous system have more than one non-zero solution?

Yes, a homogenous system can have an infinite number of non-zero solutions. This is because there are an infinite number of values that can be assigned to the variables in the system that will make the equations equal to zero.

4. How can you determine if a homogenous system has a non-zero solution?

A homogenous system has a non-zero solution if the determinant of the system's coefficient matrix is equal to zero. This means that there is a set of values for the variables in the system that will make all of the equations equal to zero.

5. What is the significance of a non-zero solution in a homogenous system?

A non-zero solution in a homogenous system indicates that the system is consistent and has at least one solution. This can be useful in solving real-world problems and can provide insight into the relationships between the variables in the system.

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