R i λr j r j what is the effect on the determinant

This preview shows page 76 - 78 out of 148 pages.

We have textbook solutions for you!
The document you are viewing contains questions related to this textbook.
Differential Equations with Boundary-Value Problems
The document you are viewing contains questions related to this textbook.
Chapter 4 / Exercise 42
Differential Equations with Boundary-Value Problems
Zill
Expert Verified
..Ri+λRj...Rj...What is the effect on the determinant of multiplying bySij(λ)? LetM0=Sij(λ)M, and letM00be the matrixMbut withRireplaced byRj.detM0=Xσsgn(σ)m1σ(1). . .(miσ(i)+λmjσ(j)). . . mnσ(n)=Xσsgn(σ)m1σ(1). . . miσ(i). . . mnσ(n)+Xσsgn(σ)m1σ(1). . . λmjσ(j). . . mjσ(j). . . mnσ(n)=detM+λdetM00SinceM00has two identical rows, its determinant is 0. ThendetSij(λ)M= detM .Notice that ifMis the identity matrix, then we havedetSij(λ) = det(Sij(λ)I) = detI= 1.We now have an elementary matrices associated to each of the row operations.Eij=Iwith rowsi, jswapped;detEij=-1Ri(λ)=Iwithλin positioni, i;detRij(λ) =λSij(λ)=Iwithλin positioni, j;detSij(λ) = 1We have also proved the following theorem along the way:Theorem 13.1.IfEisanyof the elementary matricesEij, Ri(λ), Sij(λ),thendet(EM) = detEdetM.76
We have textbook solutions for you!
The document you are viewing contains questions related to this textbook.
Differential Equations with Boundary-Value Problems
The document you are viewing contains questions related to this textbook.
Chapter 4 / Exercise 42
Differential Equations with Boundary-Value Problems
Zill
Expert Verified
We have seen that any matrixMcan be put into reduced row echelonform via a sequence of row operations, and we have seen that any row op-eration can be emulated with left matrix multiplication by an elementarymatrix.Suppose that RREF(M) is the reduced row echelon form ofM.Then RREF(M) =E1E2. . . EkMwhere eachEiis an elementary matrix.ExampleThe example from Lecture 3 on Elementary Row Operations,written using elementary matrices, would look like:100301010013=10001-2001101201000110001000131-60010001·1000-10001100-110001300010001001010100003915-2213203Or, using shorthand, we have:RREF(M) =S23(-2)S13(12)R3(13)S12(-6)R2(-1)S21(-1)R1(3)E13MOf course, this example shows that you can use elementary matrices to re-duce augmented or non-square matrices (when speaking of the determinant,however, we are only concerned with square matrices).What is the determinant of a square matrix in reduced row echelon form?IfMis not invertible, then some row of RREF(M) contains only zeros.Then we can multiply the zero row by any constantλwithout chang-ingM; by our previous observation, this scales the determinant ofMbyλ. Thus, ifMis not invertible, det RREF(M) =λdet RREF(M),and so det RREF(M) = 0.Otherwise, every row of RREF(M) has a pivot on the diagonal; sinceMis square, this means that RREF(M) is the identity matrix. ThenifMis invertible, det RREF(M) = 1.Additionally, notice that det RREF(M) = det(E1E2. . . EkM).Thenby the theorem above, det RREF(M) = det(E1). . .det(Ek) detM. SinceeachEihas non-zero determinant, then det RREF(M) = 0 if and onlyif detM= 0.

  • Left Quote Icon

    Student Picture

  • Left Quote Icon

    Student Picture

  • Left Quote Icon

    Student Picture