Metadata
Mathematics Undergraduate Understand Medium-
Subject
Mathematics
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Education level
Undergraduate
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Cognitive goals
Understand
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Difficulty estimate
Medium
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Tags
eigenvalues, eigenvectors, diagonalization, eigenspaces, linear algebra
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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 undergraduate students' understanding of the geometric meaning of eigenvalues and eigenvectors and the algebraic criteria for matrix diagonalization. Tasks should include interpreting eigenpairs as invariant directions and directional scalings, distinguishing algebraic vs geometric multiplicity, deciding diagonalizability by testing for an eigenbasis (including implications of repeated eigenvalues), applying the spectral theorem for symmetric matrices (orthogonal diagonalization), and computing eigenvectors/eigenspaces for specific matrices to determine diagonalizability over R or C; include short proofs, geometric explanations, and constructive diagonalizations or counterexamples as appropriate.
Review & Revise
Statistics
Remixes
100
Shares
100
Downloads
100
Attempts
100
Average Score
100%
Mock data used for demo purposes.