Free columns-combinations of columns?

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SUMMARY

The discussion centers on the distinction between pivot columns and free columns in linear algebra, as described in Gilbert Strang's book. Pivot columns are not combinations of earlier columns, while free columns are combinations of earlier columns. The conversation highlights that starting with free variables simplifies finding solutions, as demonstrated by the example of the equation x + y = 6, where x is a pivot variable and y, z, and w are free variables. The participants conclude that choosing free variables first provides clarity in determining the values of pivot variables.

PREREQUISITES
  • Understanding of linear algebra concepts, specifically pivot and free variables.
  • Familiarity with Gaussian elimination techniques.
  • Knowledge of variable classification in systems of equations.
  • Basic proficiency in interpreting mathematical literature, such as Gilbert Strang's works.
NEXT STEPS
  • Study the properties of pivot and free variables in linear algebra.
  • Learn advanced techniques in Gaussian elimination and their applications.
  • Explore the implications of variable interchange in systems of equations.
  • Review Gilbert Strang's "Linear Algebra and Its Applications" for deeper insights.
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Students and educators in mathematics, particularly those studying linear algebra, as well as anyone seeking to understand the relationships between pivot and free variables in solving systems of equations.

sarvesh0303
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In Gilbert Strang's book on linear algebra, he mentions that pivot columns are not combinations of earlier columns and that free columns are combinations of earlier columns. What columns is he referring to by earlier columns?

Also, what property distinguishes pivot variables and free variables that we choose the values for free variables for special solutions. Why don't we choose the values for the pivot variables and then find the free variables?
 
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A is earlier than B means A is to the left of B.

Because it does not always work, starting with the pivot variables. But starting with the free variables always works.

For example, let's say that after Gaussian elimination, you end up with x+y=6, and no equations at all for z and w. X is the pivot variable. y, z and w free. You could start with x, and say y is 6-x, but then what do you do about z and w? But if you do it the other way, then what you do to the free variables tells you all about the pivot variables, too.

On a deeper level, "starting with x" is another way of saying "let x be a free variable". This would correspond to interchanging the columns for x and y to make y pivot and x free.
 
Thanks a ton. Wow... you just made things so much clearer for me!
 

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