Properties of Determinants
Four defining conditions that pin down a unique determinant function, and computing it by Gaussian reduction while tracking row swaps and factored scalars.
18 exercises
Exercise 1
Find each determinant by performing one row operation.
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(a) (b)
Exercise 2
Use Gauss’s Method to find each determinant.
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(a) (b)
Exercise 3
Use Gauss’s Method to find each.
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(a) (b)
Exercise 4
For which values of does this system have a unique solution?
Exercise 5
Express each of these in terms of .
Exercise 6
Find the determinant of a diagonal matrix.
Exercise 7
Describe the solution set of a homogeneous linear system if the determinant of the matrix of coefficients is nonzero.
Exercise 8
Show that this determinant is zero.
Exercise 9
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Find the , , and matrices with entry given by .
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Find the determinant of the square matrix with entry .
Exercise 10
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Find the , , and matrices with entry given by .
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Find the determinant of the square matrix with entry .
Exercise 11
Show that determinant functions are not linear by giving a case where .
Exercise 12
The second condition in the definition, that row swaps change the sign of a determinant, is somewhat annoying. It means we have to keep track of the number of swaps, to compute how the sign alternates. Can we get rid of it? Can we replace it with the condition that row swaps leave the determinant unchanged? (If so then we would need new , , and formulas, but that would be a minor matter.)
Exercise 13
Prove that the determinant of any triangular matrix, upper or lower, is the product down its diagonal.
Exercise 14
Refer to the definition of elementary matrices in the Mechanics of Matrix Multiplication subsection.
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What is the determinant of each kind of elementary matrix?
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Prove that if is any elementary matrix then for any appropriately sized .
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(This question doesn’t involve determinants.) Prove that if is singular then a product is also singular.
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Show that .
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Show that if is nonsingular…
Exercise 15
Prove that the determinant of a product is the product of the determinants in this way. Fix the matrix and consider the function given by .
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Check that satisfies condition (1) in the definition of a determinant function.
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Check condition (2).
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Check condition (3).
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Check condition (4).
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Conclude the determinant of a product is the product of the determinants.
Exercise 16
A submatrix of a given matrix is one that we get by deleting some of the rows and columns of . Thus, the first matrix here is a submatrix of the second.
Prove that for any square matrix, the rank of the matrix is if and only if is the largest integer such that there is an submatrix with a nonzero determinant.
Exercise 17
Prove that a matrix with rational entries has a rational determinant.
Exercise 18
Find the element of likeness in (a) simplifying a fraction, (b) powdering the nose, (c) building new steps on the church, (d) keeping emeritus professors on campus, (e) putting , , in the determinant
Adapted from Linear Algebra © 2016 Jim Hefferon. Licensed under CC BY-SA 3.0 US. Source: Linear Algebra. Imported at revision df2262e.