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Question: If $k \in R$, then det$\{adj(kI_n)\}$ is equal to...

If kRk \in R, then det{adj(kIn)}\{adj(kI_n)\} is equal to

Answer

k^{n(n-1)}

Explanation

Solution

To find det(adj(kIn))\det(\text{adj}(kI_n)), we use the properties of determinants and adjoint matrices.

Let A=kInA = kI_n. Here, InI_n is the n×nn \times n identity matrix, and kRk \in R is a scalar.

Step 1: Calculate the determinant of AA. The matrix A=kInA = kI_n is a diagonal matrix with kk along the main diagonal: A=(k000k000k)n×nA = \begin{pmatrix} k & 0 & \dots & 0 \\ 0 & k & \dots & 0 \\ \vdots & \vdots & \ddots & \vdots \\ 0 & 0 & \dots & k \end{pmatrix}_{n \times n} The determinant of AA is given by: det(A)=det(kIn)\det(A) = \det(kI_n) Using the property that for a scalar cc and an n×nn \times n matrix MM, det(cM)=cndet(M)\det(cM) = c^n \det(M): det(kIn)=kndet(In)\det(kI_n) = k^n \det(I_n) Since the determinant of an identity matrix is 1 (det(In)=1\det(I_n) = 1): det(A)=kn1=kn\det(A) = k^n \cdot 1 = k^n

Step 2: Use the property of the determinant of an adjoint matrix. For any n×nn \times n matrix MM, the determinant of its adjoint is given by the formula: det(adj(M))=(det(M))n1\det(\text{adj}(M)) = (\det(M))^{n-1} This formula is generally valid for invertible matrices (i.e., det(M)0\det(M) \neq 0).

Step 3: Substitute det(A)\det(A) into the formula. Substitute det(A)=kn\det(A) = k^n into the formula for det(adj(A))\det(\text{adj}(A)): det(adj(kIn))=(det(kIn))n1=(kn)n1\det(\text{adj}(kI_n)) = (\det(kI_n))^{n-1} = (k^n)^{n-1} Using the exponent rule (ab)c=abc(a^b)^c = a^{bc}: det(adj(kIn))=kn(n1)\det(\text{adj}(kI_n)) = k^{n(n-1)}

Step 4: Verify for the special case when k=0k=0. The formula det(adj(M))=(det(M))n1\det(\text{adj}(M)) = (\det(M))^{n-1} is typically derived assuming det(M)0\det(M) \neq 0. Let's check if our result holds when k=0k=0.

If k=0k=0, then A=0In=OnA = 0 \cdot I_n = O_n (the n×nn \times n zero matrix). We need to find det(adj(On))\det(\text{adj}(O_n)).

  • Case 1: n=1n=1 A=[0]A = [0]. The adjoint of a 1×11 \times 1 matrix [a][a] is defined as [1][1]. So, adj([0])=[1]\text{adj}([0]) = [1]. det(adj([0]))=det([1])=1\det(\text{adj}([0])) = \det([1]) = 1. Our formula kn(n1)k^{n(n-1)} gives 01(11)=000^{1(1-1)} = 0^0. If we adopt the convention 00=10^0=1 (which is common in such contexts), the formula holds.

  • Case 2: n>1n > 1 A=OnA = O_n. The adjoint matrix adj(On)\text{adj}(O_n) is the transpose of the cofactor matrix. For n>1n > 1, any (n1)×(n1)(n-1) \times (n-1) submatrix of OnO_n will be a zero matrix of size (n1)×(n1)(n-1) \times (n-1). The determinant of such a submatrix is 0. Therefore, all minors MijM_{ij} are 0, which implies all cofactors Cij=(1)i+jMijC_{ij} = (-1)^{i+j} M_{ij} are also 0. Thus, adj(On)=On\text{adj}(O_n) = O_n. det(adj(On))=det(On)=0\det(\text{adj}(O_n)) = \det(O_n) = 0. Our formula kn(n1)k^{n(n-1)} gives 0n(n1)0^{n(n-1)}. Since n>1n > 1, n(n1)n(n-1) is a positive integer (e.g., for n=2n=2, n(n1)=2n(n-1)=2; for n=3n=3, n(n1)=6n(n-1)=6). Any positive integer power of 0 is 0. So, 0n(n1)=00^{n(n-1)} = 0. The formula holds for n>1n>1 and k=0k=0.

Since the formula kn(n1)k^{n(n-1)} holds for all kRk \in R and nNn \in N (with the standard convention 00=10^0=1), it is the general solution.