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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 basic/dependent/leading variable
# Definition of basic/dependent/leading variable in a linear system

Put content here**Definition:** In the echelon form of a linear system, a **basic variable** (also called a **dependent** or **leading variable**) is a variable that corresponds to a pivot column in the coefficient matrix.
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A pivot is the first nonzero entry in each nonzero row of the echelon form. The column containing a pivot identifies the basic variable for that row.
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**Properties:**
- Basic variables are determined by the pivot positions
- Their values are computed from the free variables through back-substitution
- The number of basic variables equals the rank of the matrix
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**Example:** In the echelon form:
$$\begin{bmatrix} \boxed{2} & 3 & 1 & | & 5 \\ 0 & \boxed{1} & -2 & | & 3 \\ 0 & 0 & 0 & | & 0 \end{bmatrix}$$
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$x_1$ and $x_2$ are basic variables (pivots in columns 1 and 2).

# Parents

* Linear systems of equations
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