To evaluate A−1 for the given matrix A, we will use the formula A−1=det(A)1adj(A), where det(A) is the determinant of A and adj(A) is the adjoint of A.
The given matrix is:
A=5126074864
Step 1: Calculate the determinant of A.
det(A)=57464−012664+812674det(A)=5(7×4−6×4)−0(12×4−6×6)+8(12×4−7×6)det(A)=5(28−24)−0+8(48−42)det(A)=5(4)+8(6)det(A)=20+48det(A)=68
Step 2: Calculate the cofactor matrix C.
The cofactor Cij is given by (−1)i+jMij, where Mij is the minor of the element aij.
C11=7464=28−24=4C12=−12664=−(48−36)=−12C13=12674=48−42=6C21=−0484=−(0−32)=32C22=5684=20−48=−28C23=−5604=−(20−0)=−20C31=0786=0−56=−56C32=−51286=−(30−96)=−(−66)=66C33=51207=35−0=35
The cofactor matrix is:
C=432−56−12−28666−2035
Step 3: Calculate the adjoint of A.
The adjoint of A is the transpose of the cofactor matrix C.
adj(A)=CT=4−12632−28−20−566635
Step 4: Calculate the inverse of A.
A−1=det(A)1adj(A)=6814−12632−28−20−566635
Distribute the scalar 681 into the matrix and simplify the fractions:
A−1=68468−12686683268−2868−2068−5668666835=17117−334317817−717−517−1434336835
The inverse of matrix A is:
A−1=17117−334317817−717−517−1434336835
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This mathematics problem involves applying core mathematical principles and formulas. Below you will find a complete step-by-step solution with detailed explanations for each step, helping you understand not just the answer but the method behind it.
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To evaluate A^-1 for the given matrix A, we will use the formula A^-1 = (1)/((A)) adj(A), where (A) is the determinant of A and adj(A) is the adjoint of A. The given matrix is: A = 5 & 0 & 8 \\ 12 & 7 & 6 \\ 6 & 4 & 4 Step 1: Calculate the determinant of A. (A) = 5 7 & 6 \\ 4 & 4 - 0 12 & 6 \\ 6 & 4 + 8 12 & 7 \\ 6 & 4 (A) = 5(7 × 4 - 6 × 4) - 0(12 × 4 - 6 × 6) + 8(12 × 4 - 7 × 6) (A) = 5(28 - 24) - 0 + 8(48 - 42) (A) = 5(4) + 8(6) (A) = 20 + 48 (A) = 68 Step 2: Calculate the cofactor matrix C. The cofactor C_ij is given by (-1)^i+j M_ij, where M_ij is the minor of the element a_ij. C_11 = 7 & 6 \\ 4 & 4 = 28 - 24 = 4 C_12 = - 12 & 6 \\ 6 & 4 = -(48 - 36) = -12 C_13 = 12 & 7 \\ 6 & 4 = 48 - 42 = 6 C_21 = - 0 & 8 \\ 4 & 4 = -(0 - 32) = 32 C_22 = 5 & 8 \\ 6 & 4 = 20 - 48 = -28 C_23 = - 5 & 0 \\ 6 & 4 = -(20 - 0) = -20 C_31 = 0 & 8 \\ 7 & 6 = 0 - 56 = -56 C_32 = - 5 & 8 \\ 12 & 6 = -(30 - 96) = -(-66) = 66 C_33 = 5 & 0 \\ 12 & 7 = 35 - 0 = 35 The cofactor matrix is: C = 4 & -12 & 6 \\ 32 & -28 & -20 \\ -56 & 66 & 35 Step 3: Calculate the adjoint of A. The adjoint of A is the transpose of the cofactor matrix C. adj(A) = C^T = 4 & 32 & -56 \\ -12 & -28 & 66 \\ 6 & -20 & 35 Step 4: Calculate the inverse of A. A^-1 = (1)/((A)) adj(A) = (1)/(68) 4 & 32 & -56 \\ -12 & -28 & 66 \\ 6 & -20 & 35 Distribute the scalar (1)/(68) into the matrix and simplify the fractions: A^-1 = (4)/(68) & (32)/(68) & (-56)/(68) \\ (-12)/(68) & (-28)/(68) & (66)/(68) \\ (6)/(68) & (-20)/(68) & (35)/(68) = (1)/(17) & (8)/(17) & (-14)/(17) \\ (-3)/(17) & (-7)/(17) & (33)/(34) \\ (3)/(34) & (-5)/(17) & (35)/(68) The inverse of matrix A is: A^-1 = (1)/(17) & (8)/(17) & (-14)/(17) \\ (-3)/(17) & (-7)/(17) & (33)/(34) \\ (3)/(34) & (-5)/(17) & (35)/(68) What's next? Send 'em! 📸