Determinants in linear algebra

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SUMMARY

The discussion centers on the calculation of determinants in linear algebra, specifically addressing the property that swapping two rows or columns of a matrix results in a sign change of the determinant. The user initially calculated the determinant without accounting for this property, leading to confusion over the negative sign in the final result. The correct determinant for the given matrix is -32, confirming that both row and column swaps affect the determinant's sign, a crucial aspect not highlighted in their study materials.

PREREQUISITES
  • Understanding of matrix operations
  • Familiarity with determinant properties
  • Knowledge of linear algebra concepts
  • Ability to perform row and column manipulations
NEXT STEPS
  • Study the properties of determinants, focusing on row and column swaps
  • Learn about cofactor expansion for determinant calculation
  • Explore the implications of determinant sign changes in linear transformations
  • Practice calculating determinants of larger matrices using software tools like MATLAB or Python's NumPy
USEFUL FOR

Students studying linear algebra, educators teaching matrix theory, and anyone involved in mathematical computations requiring determinant analysis.

Square1
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Homework Statement



i can't for the life of me find out where the negative comes from!

if you have the following the following determinant to calculate

det
(0) (1) (3) (4)
(2) (3) (1) (1)
(4) (-1) (-1) (2)
(6) (4) (-1) (1)and the next step shows... it equals (note negative sign)= -det
(2) (3) (1) (1)
(0) (1) (3) (4)
(4) (-1) (-1) (2)
(6) (4) (-1) (1)
how did they get the negative! which rule is this! The answer is -32 which. If i do it my way without adding the negative in at the first step, i get 32 so the rest of the steps i do are right.

Thanks!
 
Physics news on Phys.org
It's a general property of determinants that if you swap two rows or cols, it changes the sign of the determinant.
 
OMG ROWS TOO?? god it doesn't tell us that in our notes! only columns! thank you!
 

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