Career Trajectory Eigen-Matrix Simulator
MATH.JS + D3 DYNAMIC SYSTEM
Inspired by Moses Kagan & Aleksey Chernobelskiy
Preset Scenarios
1. Mentorship Eigen-Alignment
High feedback matrix coupling, exponential directional growth
2. Pure Unfiltered Random Walk
Zero feedback coupling, high trial noise variance
3. Misaligned Advisory Decay
Negative feedback alignment, decay trajectory
Matrix System Coupling
Base Skill Transition (Matrix A)
A[0,0] Skill
X
A[0,1] Cross
Y->X
A[1,0] Cross
X->Y
A[1,1] Skill
Y
Mentorship Feedback Coupling (Matrix B)
B[0,0] Mentor
X
B[0,1] Mentor
Y->X
B[1,0] Mentor
X->Y
B[1,1] Mentor
Y
Trial-and-Error Noise (Σ)
Noise Covariance Standard Dev
0.05
Spectral Radius (λ
max
):
1.218
Dominant Eigenvector:
[0.894, 0.447]
Variance Reduction:
64.2%
System Trajectory:
Exponential Growth
• Click canvas to inject a career perturbation vector shock
Pause
Replay / Reset
Step:
50
/50
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