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Trace, Transpose, and Conjugate of Matrix are fundamental topics in Engineering Mathematics and are frequently asked in GATE, ESE, AE/JE exams. These concepts form the base for advanced topics in Linear Algebra.
A matrix is a rectangular arrangement of numbers in rows and columns.
The transpose of a matrix is obtained by interchanging its rows and columns.
If A = [aij], then AT = [aji]
A = [ 1 2
3 4 ]
AT = [ 1 3
2 4 ]
The trace of a square matrix is the sum of its principal diagonal elements.
Trace(A) = a₁₁ + a₂₂ + a₃₃ + ...
A = [ 2 1
3 4 ]
Trace(A) = 2 + 4 = 6
The conjugate of a matrix is obtained by taking the complex conjugate of each element.
If z = a + ib → Conjugate(z) = a − ib
A = [ 2 + i , 3 − i ]
Conjugate(A) = [ 2 − i , 3 + i ]
Find transpose of A = [1 2; 3 4]
AT = [1 3; 2 4]
Find trace of matrix [5 1; 2 6]
Trace = 5 + 6 = 11
Find conjugate of (4 − 3i)
= 4 + 3i
If Trace(A) = 12 and Trace(B) = 8, find Trace(A + B)
Trace(A + B) = 12 + 8 = 20
Q1. Find trace of identity matrix of order 4.
= 1 + 1 + 1 + 1 = 4
Q2. If A = AT, identify matrix type.
Symmetric Matrix
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