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Properties of determinants

Identifying which row operation links two matrices and its effect on the determinant, and proving facts like det(kA) = k^n det(A) and that dependent rows force determinant zero.

Matrix Theory and Linear Algebra, Properties of determinants

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13 exercises

Exercise 7.5.1

Let

An operation is done to get from AA to a matrix BB. In each case, identify which operation was done and explain how it will affect the value of the determinant.

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Exercise 7.5.2

Let AA be an n×nn\times n-matrix and suppose there are n−1n-1 rows such that the remaining row is a linear combinations of these n−1n-1 rows. Show det⁡(A)=0\det(A)=0.

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Exercise 7.5.3

Let AA be an n×nn\times n-matrix. Show that if det⁡(A)≠0\det(A)\neq 0 and Ax=0A\mathbf{x}=\mathbf{0}, then x=0\mathbf{x}=\mathbf{0}.

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Exercise 7.5.4

Using only Theorems 7.23 and 7.39, show that det⁡(kA)=kndet⁡(A)\det(kA)=k^{n}\det(A) for an n×nn\times n-matrix AA and scalar kk.

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Exercise 7.5.5

Construct two random 2×22\times 2-matrices AA and BB and verify that det⁡(A)det⁡(B)=det⁡(AB)\det(A)\det(B)=\det(AB).

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Exercise 7.5.6

Is it true that det⁡(A+B)=det⁡(A)+det⁡(B)\det(A+B)=\det(A)+\det(B)? If this is so, explain why. If it is not so, give a counterexample.

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Exercise 7.5.7

An n×nn\times n-matrix is called nilpotent if there exists some positive integer kk such that Ak=0A^{k}=0. If AA is a nilpotent matrix, what are the possible values of det⁡(A)\det(A)?

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Exercise 7.5.8

A square matrix is said to be orthogonal if ATA=IA^{T}A=I. Thus the inverse of an orthogonal matrix is its transpose. What are the possible values of det⁡(A)\det(A) if AA is an orthogonal matrix?

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Exercise 7.5.9

Let AA and BB be two n×nn\times n-matrices. We say that AA is similar to BB, in symbols A∼BA\sim B, if there exists an invertible matrix PP such that A=P−1BPA=P^{-1}BP. Show that if A∼BA\sim B, then det⁡(A)=det⁡(B)\det(A)=\det(B).

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Exercise 7.5.10

Find the determinant of

For which values of aa and bb is this matrix invertible? Hint: after you compute the determinant, you can factor out (a−1)(a-1) and (b−1)(b-1) from it.

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Exercise 7.5.11

Assume AA, BB, and CC are n×nn\times n-matrices and ABCABC is invertible. Use determinants to show that each of A,BA,B, and CC is invertible.

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Exercise 7.5.12

Suppose AA is an upper triangular matrix. Show that A−1A^{-1} exists if and only if all elements of the main diagonal are non-zero. Is it true that A−1A^{-1} will also be upper triangular? Explain. Could the same be concluded for lower triangular matrices?

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Exercise 7.5.13

Specify whether each statement is true or false. If true, provide a proof. If false, provide a counterexample.

  1. If AA is a 3×33\times 3-matrix with determinant zero, then one column must be a multiple of some other column.

  2. If any two columns of a square matrix are equal, then the determinant of the matrix equals zero.

  3. For two n×nn\times n-matrices AA and BB, det⁡(A+B)=det⁡(A)+det⁡(B)\det(A+B)=\det(A)+\det(B).

  4. For an n×nn\times n-matrix AA, det⁡(3A)=3det⁡(A)\det(3A)=3\det(A).

  5. If A−1A^{-1} exists, then det⁡(A−1)=det⁡(A)−1\det(A^{-1})=\det(A)^{-1}.

  6. If BB is…

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Adapted from Matrix Theory and Linear Algebra © 2017–2026 Peter Selinger, Lyryx Learning, and Ken Kuttler. Licensed under CC BY 4.0. Source: Matrix Theory and Linear Algebra. Imported at revision d74bc3a.