When Does a Square Matrix Ensure Unique Solutions?

  • Thread starter Nynjal
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In summary, for a square matrix A, the equation Ax= 0 has exactly one solution if and only if the equation Ax= b has exactly one solution for every vector b. This is because if Ax= 0 has only one solution, that solution is x= 0, and if Ax= b has one solution for every b, then taking b= 0 will give the solution x= 0. This statement is not true for "at least one" solution, as there can be counterexamples where Ax= 0 has multiple solutions but Ax= b only has one.
  • #1
Nynjal
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if A is a square matrix
Ax = 0 has exactly one solution if and only if Ax = b has at least one solution for every vector b.

why is this true?
I am new to this if you can tell...
 
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  • #2
What you are saying is not true. Ax= 0 has exactly one solution if and only if Ax= b has exactly one solution for every b, not "at least one".

First, since A0= 0, for any square matrix, A, if Ax= 0 has only one solution, that solution is x= 0. Now suppose that, for some b, Ax= b has two solutions x1 and x2. Since x1 and x2 are different, x1- x2 is NOT 0. But what is A(x1- x2)?

And, for the other way, of course, if Ax= b has one solution for every b, take b= 0.
 
  • #3
And a counterexample to the original statement is A=[B,I] with solution x=[0;b] to Ax=b, but also x=[y;-Ay] is a nontrivial solution to Ax=0.
 

FAQ: When Does a Square Matrix Ensure Unique Solutions?

Why is it important to understand the solutions of the equation Ax = 0?

Understanding the solutions of the equation Ax = 0 is important because it allows us to determine if a system of linear equations has a unique solution or not. This is crucial in many fields of science, such as physics and engineering, where solving systems of equations is essential for solving real-world problems.

What does a "trivial solution" mean in the context of Ax = 0?

A trivial solution for Ax = 0 means that all the variables in the system of equations are equal to zero. In other words, there is no unique solution for the system and any values we plug in for the variables will result in an equation that is always true.

How can we determine if a system of equations has a unique solution for every b in the equation Ax = b?

We can determine if a system of equations has a unique solution for every b by checking the rank of the coefficient matrix, A. If the rank of A is equal to the number of variables in the system, then the system has a unique solution for every b. If the rank is less than the number of variables, then the system has infinitely many solutions. If the rank is greater than the number of variables, then the system has no solutions.

Can a system of equations have a unique solution for Ax = 0 and infinitely many solutions for Ax = b?

Yes, it is possible for a system of equations to have a unique solution for Ax = 0 and infinitely many solutions for Ax = b. This occurs when the coefficient matrix A has a rank equal to the number of variables in the system, but the right-hand side b is not equal to zero.

What implications does the existence of a unique solution for Ax = b have on the consistency of the system of equations?

If a system of equations has a unique solution for Ax = b, it means that the system is consistent and there is a specific set of values for the variables that satisfy all the equations. This is in contrast to a system with no solutions or infinitely many solutions, which are both considered inconsistent.

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