Matrix Determinant Calculator – 2×2 with Extras
det[[3,1],[2,4]] = 10 with trace 7 and eigenvalues 5, 2 from λ²−7λ+10=0.
- Area meaning, singularity and inverse availability in one view.
Figures are estimates from this calculator’s standard formula — adjust the inputs in the tool below for your exact number.
How the Matrix Determinant Calculator Works
This determinant tool wraps the 2×2 core with the quantities that depend on it. For A = [[3,1],[2,4]]: det = 3×4 − 1×2 = 10, trace = 3+4 = 7, and the characteristic equation λ² − 7λ + 10 = 0 factors as (λ−5)(λ−2), giving eigenvalues 5 and 2 — the calculator solves this quadratic for every input. The determinant’s meaning prints alongside: |det| = 10 is the area scale the matrix applies, sign −1 would flag an orientation flip, and det = 0 declares the matrix singular with no inverse. Invertibility check and the inverse (1/10)[[4,−1],[−2,3]] appear when valid. The output pairs exact fractions with decimals, notes the eigen-sum equals trace and eigen-product equals determinant (5+2 = 7 ✓, 5×2 = 10 ✓), and flags matrices with complex eigenvalues when the discriminant trace² − 4det goes negative.
- 1
Enter the 2×2 entries
a, b, c and d
- 2
Compute det and trace
10 and 7 for the example, both shown
- 3
Solve the characteristic equation
λ² − 7λ + 10 = 0 → λ = 5, 2
- 4
Interpret
Area scale, orientation, invertibility and the inverse matrix
Use Cases
Linear Algebra Study
det, trace and eigenvalues of [[3,1],[2,4]] in one pass
Transform Coding
Check area scaling before applying graphics matrices
Stability Analysis
Eigenvalue signs classify system behavior
Tips
- 1
Eigenvalues sum to the trace and multiply to the determinant
- 2
det 0 = singular: no inverse exists
- 3
Negative determinant means orientation reversal
Common Mistakes
Computing bc − ad and flipping the sign
Reading eigenvalues as entries of the matrix
Assuming a negative determinant blocks inversion — only zero does
Ignoring complex eigenvalues when trace² < 4det
FAQs
What is det[[3,1],[2,4]]?
What are the eigenvalues?
How do det and trace relate to eigenvalues?
What does determinant 10 mean geometrically?
When is the matrix singular?
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