Solving Homogeneous System of n Linear Equations with Positive Integer k

In summary: The trivial solution for Ax= 0 is that all n entries in x=0 are zero. This means that the matrix A is nonsingular, which means that it has an inverse. So if you know that A is invertible, the problem is solved. If you don't know whether A is invertible, then you need to use induction to solve the problem.
  • #1
soul5
64
0

Homework Statement



Let A * x= 0 be a homogeneous system of n linear equations in n unknowns, that has only the trivial solution. Show that if k is any postive integer, than the system A^k * X = 0 also has only the trivial solution.


The Attempt at a Solution




I'm so lost please help and what is trivial solution?
 
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  • #2
The trivial solution is the vector x = 0. All n entries in this vector are zero.
 
  • #3
If A is an n x n matrix, and Ax = 0 has only the trivial solution, what things does that tell you about A?
 
  • #4
I am just picking up on what Mark44 said. If the only sol to the matri eq is the trivial one Ax=0, that is for =0,(x-vector, A matrix (nxn), this means that A is nonsingular. Then since A is nonsingular, we know that A has an inverse, a unique one. SO:

[tex] A^kx=0=>A*A*A*A*A*...*Ax=0[/tex] Now multiplying by A^-1 , k-1 times from the left side we get to Ax=0, which as we know has only the trivial sol. so we are set.
 
  • #5
But that gets you to Ax = 0. There is one more thing that needs to be done to arrive at the conclusion you want.
 
  • #6
Mark44 said:
But that gets you to Ax = 0. There is one more thing that needs to be done to arrive at the conclusion you want.
Which is?
 
  • #7
First, any equation like Ax= 0 has the "trivial solution": it is always true that A(0)= 0. The whole question is whether that is the only solution or whether other solutions exist.

Do you know that Ax= 0 has only the trivial solution if and only if A is invertible? And so det(A)= 0? If you do and also know that det(An)= (det(A))n then the problem is trivial.

If not then proof by induction may be simplest. Since we are given that Ax= 0 has only the trivial solution, the base case, n= 1 is trivial. Suppose Akx= 0 has only the trivial solution. Then Ak+1x= A(Akx)= 0. What can Akx be? And what does that tell you?
 

FAQ: Solving Homogeneous System of n Linear Equations with Positive Integer k

What is a homogeneous system of linear equations?

A homogeneous system of linear equations is a set of equations where all of the terms are of degree one and the constant term is equal to zero. This means that all of the equations in the system have the same variables and there is no constant term.

What is the importance of solving homogeneous systems of linear equations?

Solving homogeneous systems of linear equations is important in many areas of science and engineering. It allows us to find the solutions to systems of equations that represent real-world problems, such as determining the concentrations of different substances in a chemical reaction or finding the equilibrium points in a mechanical system.

What is the "k" in "Solving Homogeneous System of n Linear Equations with Positive Integer k"?

The "k" in this context represents a positive integer that is used to define the size of the system. It is typically used to denote the number of equations in the system, or the number of variables in each equation.

How do I solve a homogeneous system of n linear equations with positive integer k?

The most common method for solving homogeneous systems of linear equations is by using Gaussian elimination. This involves systematically reducing the system of equations to an upper-triangular form, where the variables can be easily solved for. Another method is by using matrix operations, such as finding the inverse of the coefficient matrix or using row operations to reduce the system to an identity matrix.

What are some applications of solving homogeneous systems of linear equations?

As mentioned before, solving homogeneous systems of linear equations has many real-world applications. In addition to chemical reactions and mechanical systems, it is also used in economics to model supply and demand, in computer graphics to create 3D animations, and in statistics to analyze data and make predictions.

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