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Exam (elaborations)

LINEAR ALGEBRA ORAL EXAM QUESTIONS WITH COMPLETE ANSWERS

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LINEAR ALGEBRA ORAL EXAM QUESTIONS WITH COMPLETE ANSWERS

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LINEAR ALGEBRA
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Institution
LINEAR ALGEBRA
Course
LINEAR ALGEBRA

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Uploaded on
December 1, 2024
Number of pages
3
Written in
2024/2025
Type
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LINEAR ALGEBRA ORAL EXAM
QUESTIONS WITH COMPLETE
ANSWERS
what is an upper triangular matrix? - Answer-whenever a matrix has zeroes below the
main diagonal

what is an LU factorization of a matrix? - Answer-writing a matrix as a product of a lower
triangular matrix and an upper triangular matrix

how do you find the determinant of a 2x2 matrix? - Answer-multiplying the top left with
the bottom right and subtracting bottom left times top right.

what is the minor of a matrix with position (2, 3) - Answer-it is the determinant of a 2x2
matrix that results from deleting the 2nd row and 3rd column.

how do you find the determinant of a 3x3 matrix? - Answer-expanding and finding the
summations of all the elements times cofactors along any row or column.

what is the determinant of a triangular matrix? - Answer-product of diagonal entries

B is a matrix resulting from switching two rows of matrix A.
what is the determinant of B? - Answer-negative one times the determinant of A.

B is a resulting matrix from multiplying a row from matrix A by a scalar value. What is
the determinant of B? - Answer-the determinant of B is the scalar value times the
determinant of A.

B is a resulting matrix from matrix A when a row was multiplied by 4 and added to
another row. - Answer-the determinant of B is equal to the det of A.

if matrix A contains a row which is a multiple of another row, what is the det of A? -
Answer-0

A is an nxn matrix, what is the det of 7A? - Answer-the determinant is 7^n times det of
A.

what is the det of the inverse of a matrix? - Answer-the det is 1/det(matrix)

what is the det of the product of two matrices? - Answer-the det is the product of the two
determinants.

what is the det of the transpose of a matrix? - Answer-the same as the original matrix.

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