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  • Linear systems of equations

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  • Basic terminology
  • Parametric form of the solution set of a system of linear equations
  • Parametric vector form of the solution set of a system of linear equations
  • Gaussian elimination as a method to solve a linear system
  • Definition of echelon form of a linear system
  • All echelon forms of a linear system have the same free variables
  • Definition of equation operations on a linear system
  • Equation operations on a linear system give an equivalent system.
  • Definition of equivalent systems of linear equations
  • The geometry of linear systems
  • Definition of consistent linear system
  • Definition of inconsistent linear system
  • Definition of homogeneous linear system of equations
  • Homogeneous linear systems are consistent.
  • Definition of nontrivial solution to a homogeneous linear system of equations
  • Definition of trivial solution to a homogeneous linear system of equations
  • A homogeneous system has a nontrivial solution if and only if it has a free variable.
  • The number of solutions to a linear system
  • Definition of basic/dependent/leading variable in a linear system
  • Definition of free/independent variable in a linear system
  • Theorem describing the vector form of sulutions to a linear system.
  • The solutions to a nonhomogeneous system are given by a particular solution plus the solutions to the homogeneous system.
  • Definition of ill-conditioned linear system
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Description:Added definition of trivial solution
# Definition of trivial solution to a homogeneous linear system of equations

Put content here**Definition:** The **trivial solution** to a homogeneous system $Ax = 0$ is the zero vector:
$$x = \mathbf{0} = (0, 0, \ldots, 0)$$
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The trivial solution always exists for any homogeneous system because substituting all zeros satisfies every equation: $a_{i1} \cdot 0 + \cdots + a_{in} \cdot 0 = 0$.
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**Terminology:** The trivial solution is called "trivial" because it is obvious and uninteresting. The focus is usually on whether **nontrivial** solutions exist, which reveals structural properties of the system (e.g., whether columns of $A$ are linearly dependent).

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* Linear systems of equations
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