What is the Most Efficient Method for Finding the Determinant of an nxn Matrix?

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SUMMARY

The most efficient method for finding the determinant of an nxn matrix is not through Laplace expansion, as it is time-consuming. Instead, techniques involving row operations and indices are recommended. The discussion highlights the need for a clearer understanding of matrix manipulation, particularly adding rows and eliminating the order of the matrix. The professor emphasized the importance of using indices, which was not previously covered in the course material.

PREREQUISITES
  • Understanding of matrix operations, specifically row addition and elimination.
  • Familiarity with determinants and their properties.
  • Basic knowledge of indices in the context of matrix algebra.
  • Experience with linear algebra concepts, particularly for nxn matrices.
NEXT STEPS
  • Research efficient methods for calculating determinants, such as Gaussian elimination.
  • Learn about the properties of determinants and how they relate to matrix transformations.
  • Study the application of indices in matrix algebra to enhance understanding of determinant calculations.
  • Explore alternative textbooks or resources that provide clearer explanations of matrix operations.
USEFUL FOR

Students studying linear algebra, educators seeking effective teaching methods for determinants, and anyone looking to improve their skills in matrix manipulation and determinant calculations.

JoshW
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Homework Statement


Shown In the picture. I went to the prof for help he said and i quote :" don't use laplas expansion to find the determinate, it will take you for ever."

Homework Equations


I don't even know how to do this. prof had no notes on this and Boas is a god awful book for learning anything.

The Attempt at a Solution


Add every row to the last row. 1/last row - every other row. then every row minus the last. but my prof wanted it solved with indices. I don't know what that is or how to apply it as it has never came up.
 

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Adding one row to another and eliminate the order of the matrix, which may help.
 

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