Finding general solution to linear system

In summary, finding the general solution to a linear system involves determining all possible solutions that satisfy the system of linear equations. This process typically includes expressing the system in matrix form, using methods such as Gaussian elimination or matrix row reduction to identify pivot positions, and deriving parametric equations for free variables. The general solution can be expressed in terms of a particular solution plus a linear combination of the solutions to the associated homogeneous system. This approach provides a comprehensive understanding of the solution space, including cases of unique, infinite, or no solutions.
  • #1
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Homework Statement
Please see below. I am unsure why the example says we cannot choose ##v_1 = (0, 0)##.
Relevant Equations
Please see below.
For this problem,
1715207003245.png

My working is,
##0v_1 + 0v_2 = 0##, however, does someone please know why the example says we cannot choose ##v_1 = (0, 0)## since from ##0v_1 + 0v_2 = 0## ##v_1, v_2 \in \mathbb{R}## i.e there is no restriction on what the vector components could be)?

Thanks!
 
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  • #2
Eigenvectors are non-zero vectors by definition.

Zero vector satisfies ##Ax=\lambda x## for any ##A## and any ##\lambda##.
 
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FAQ: Finding general solution to linear system

What is a linear system?

A linear system is a collection of one or more linear equations involving the same set of variables. The solutions to a linear system are the values of the variables that satisfy all equations simultaneously.

What does it mean to find the general solution of a linear system?

The general solution of a linear system refers to a solution that encompasses all possible solutions. It often includes free variables that represent an infinite number of solutions, particularly in underdetermined systems where there are more variables than equations.

How can I determine if a linear system has a unique solution, no solution, or infinitely many solutions?

You can determine this by analyzing the augmented matrix of the system and applying row reduction techniques. If the system can be reduced to a row-echelon form with a leading 1 in every column corresponding to a variable, it has a unique solution. If there are any rows that lead to a contradiction (like 0 = 1), there is no solution. If there are free variables remaining after reduction, the system has infinitely many solutions.

What methods can be used to find the general solution of a linear system?

Common methods for finding the general solution of a linear system include the Gaussian elimination method, the Gauss-Jordan elimination method, and using matrix operations such as finding the inverse of a matrix (when applicable). Additionally, the method of substitution and the method of elimination can also be used for smaller systems.

What role do free variables play in the general solution of a linear system?

Free variables are variables in a linear system that can take on any value, leading to multiple solutions. In the general solution, free variables are typically expressed in terms of parameters, allowing us to describe an infinite set of solutions based on the values assigned to those parameters.

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