← All topics
Engineering Mathematics
Linear Algebra
Determinants, inverses, rank and — above all — eigenvalues: the matrix toolkit GATE leans on for systems and stability.
PART 1
Topic Breakdown & Traps
The Engineering Principle
A matrix is a compact way to store a linear transformation or a system of linear equations. The determinant measures how that transformation scales volume — and a zero determinant means information is lost (the matrix is singular and non-invertible, the system has no unique solution). Eigenvalues are the special scaling factors for which : the transformation merely stretches certain directions (eigenvectors) without rotating them. Two shortcuts make 2×2 problems instant: the eigenvalues sum to the trace and multiply to the determinant.
The Core Formula Matrix
Determinant (2×2):
Inverse (2×2): (exists only if ).
Characteristic equation: .
Trace / determinant shortcuts:
3×3 determinant (cofactor expansion along row 1):
Inverse (2×2): (exists only if ).
Characteristic equation: .
Trace / determinant shortcuts:
3×3 determinant (cofactor expansion along row 1):
The ‘IIT Traps’
- ⚠Eigenvalue sum vs product. and — swapping these (or dropping a sign) is the commonest 2×2 mistake.
- ⚠Cofactor sign pattern. The 3×3 expansion alternates . Forgetting the middle minus sign flips the answer.
- ⚠Singular ⇒ no inverse. If the inverse does not exist; the system is either inconsistent or has infinitely many solutions — never a unique one.
- ⚠**.** Matrix multiplication is not commutative; never reorder factors.
PART 2
Progressive 3-Tier Question Suite
Q1BASIC1 Mark · MCQ
The determinant of is:
Q2MEDIUM2 Marks · NAT
For the matrix , the larger of its two eigenvalues is ______. (Round off to two decimal places.)
Q3HARD2 Marks · NAT
The determinant of is ______. (Round off to two decimal places.)