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Elementary row operations on an augmented matrix preserve exactly the solutions of its linear system
Statement
If an elementary row operation transforms the augmented matrix into , then Consequently every finite row reduction of an augmented matrix preserves its solution set exactly.
Facts & Assumptions
Given: A system over a field and one elementary row operation applied to its augmented matrix.
Elementary row operations are swaps, nonzero row scalings and additions of a multiple of one row to another (Elementary row operations and row equivalence for finite matrices over a field).
Every elementary row operation has an elementary inverse (Every elementary row operation has an elementary inverse, so row equivalence is an equivalence relation).
The system consists of the row equations , and records their coefficients and right-hand sides (Matrix equation , its solution set, consistency, homogeneous systems and the augmented matrix ).
Proof
A row swap only reorders equations; multiplying an equation by preserves it in both directions after multiplication by ; and replacing one equation by itself plus times another preserves simultaneous satisfaction because the added equation already holds. Thus every solution of the original system solves the transformed system.
Apply the same argument to the inverse operation from [L2] to obtain the reverse inclusion. Hence the solution sets are equal, without any assumption that is square or invertible; iteration gives the finite-reduction claim.
Depends on
Used by
- A 3×3 system row reduces to a unique solution Example
- Elementary row operations preserve every linear relation among the columns and hence preserve column rank Lemma
- Every finite matrix over a field is row equivalent to exactly one reduced row echelon matrix Theorem
- Reduced row echelon form detects consistency and parametrises every solution by the nonpivot variables Theorem
Dependency tree · next 3 levels
Direct dependencies and their dependencies through the next three levels: 17 results over 10 levels. An arrow runs from a result to what uses it, and this result sits at the bottom with a heavier outline. Click the chart to enlarge it.
Sources
- D. Margalit and J. Rabinoff, Interactive Linear Algebra, §1.2 (standard reference, not scraped)