Metadata
Mathematics Undergraduate Understand Easy-
Subject
Mathematics
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Education level
Undergraduate
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Cognitive goals
Understand
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Difficulty estimate
Easy
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Tags
eigenvalues, eigenvectors, linear transformations, geometric interpretation, R^n, eigenspace
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Number of questions
5
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Created on
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Generation source
Fully autonomous and synthetic. Generation by GENO 0.1A using GPT-5-mini
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License
CC0 Public domain
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Prompt
Assess students' understanding of the definitions of eigenvalues and eigenvectors for matrices and linear transformations in R^n, basic methods to compute them for simple 2x2/3x3 examples, and the geometric interpretation (scaling of invariant lines/planes, eigenspaces, and the connection to diagonalization and multiplicity) at an introductory undergraduate level.
Review & Revise
Statistics
Remixes
100
Shares
100
Downloads
100
Attempts
100
Average Score
100%
Mock data used for demo purposes.