Elementary Matrix: Gaussian Elimination Explained

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SUMMARY

The discussion centers on the construction and application of elementary matrices in Gaussian elimination. An example is provided with matrix A and elementary matrix E, demonstrating how the product EA results in a transformed matrix. The relationship between the rows of an elementary matrix (EM) and an arbitrary matrix (M) is explored, specifically in the context of a 3x2 matrix M and its corresponding 2x2 EM. The transformation involves summing the elements of the rows in M, leading to a simplified representation.

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  • Understanding of Gaussian elimination techniques
  • Familiarity with matrix operations and multiplication
  • Knowledge of elementary matrices and their properties
  • Basic linear algebra concepts
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  • Study the properties of elementary matrices in linear transformations
  • Learn about the implications of Gaussian elimination on matrix rank
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Students and professionals in mathematics, particularly those studying linear algebra, as well as educators teaching Gaussian elimination and matrix theory.

EvLer
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Elementary matrix is constructed out of identity for gaussian elimination, it's easier to see it on an example:
if A =
1 2 3
4 5 6
7 8 9
and E
1 0 0
-4 1 0
0 0 1
then EA =
1 2 3
0 -3 -6
7 8 9

so now the problem asks how are rows of EM related to the rows of M if E is
1 1 1
0 0 0
where M is arbitrary any matrix.

thank you in advance.
 
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I don't know if I understand you correctly

M will be 3x2 matrix and EM will 2x2 matrix where with a summation of the each row in M - a(11) summation of first row and a(12) of second row. Rest will be zero
 
Question: A clock's minute hand has length 4 and its hour hand has length 3. What is the distance between the tips at the moment when it is increasing most rapidly?(Putnam Exam Question) Answer: Making assumption that both the hands moves at constant angular velocities, the answer is ## \sqrt{7} .## But don't you think this assumption is somewhat doubtful and wrong?

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