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如何计算Eigenvalue Calc

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Eigenvalues and eigenvectors are fundamental concepts in linear algebra. For a square matrix A, an eigenvector v is a non-zero vector that only scales (not rotates) when A is applied: Av = λv. The scalar λ is the corresponding eigenvalue. Eigenvalues reveal the fundamental behaviour of linear transformations and appear throughout physics, engineering, statistics (PCA), and machine learning.

分步指南

  1. 1For 2×2 matrix [[a,b],[c,d]], eigenvalues satisfy the characteristic equation: det(A − λI) = 0
  2. 2det(A − λI) = λ² − (a+d)λ + (ad−bc) = 0
  3. 3Trace = a+d, Determinant = ad−bc
  4. 4λ = [Trace ± √(Trace² − 4·Det)] / 2
  5. 5Discriminant > 0: two real eigenvalues; < 0: complex conjugate pair

例题解析

输入
Matrix [[4,1],[2,3]]
结果
λ₁=5, λ₂=2
Trace=7, Det=10, Disc=9
输入
Matrix [[0,−1],[1,0]] (rotation 90°)
结果
λ = ±i (complex)
Pure rotation has no real eigenvalues

常见问题

What is Eigenvalue Calc?

Eigenvalues and eigenvectors are fundamental concepts in linear algebra. For a square matrix A, an eigenvector v is a non-zero vector that only scales (not rotates) when A is applied: Av = λv

How accurate is the Eigenvalue Calc calculator?

The calculator uses the standard published formula for eigenvalue calc. Results are accurate to the precision of the inputs you provide. For financial, medical, or legal decisions, always verify with a qualified professional.

What units does the Eigenvalue Calc calculator use?

This calculator works with inches. You can enter values in the units shown — the calculator handles all conversions internally.

What formula does the Eigenvalue Calc calculator use?

The calculator applies the standard formula for this type of calculation. See the 'How It Works' steps above for the detailed formula breakdown.

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