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Linear Algebra & Matrices
Vector spaces, linear maps, eigenstructure, and matrices that represent operators.
- For
- Students of linear algebra and anyone connecting matrices to calculus.
- Focus
- Bases and coordinates · Linear maps · Eigenvalues · Differentiation matrices
Curated prompts
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Written by RIDA MATH. Each prompt says what a strong contribution looks like.
The matrix of
Write the matrix of differentiation on the space spanned by . Why is it nilpotent? What is its matrix on , and what are its eigenvalues?
A strong contribution: Both matrices written with a stated coordinate convention; nilpotency and eigenvalues explained.
Which spaces are closed under differentiation?
Decide whether each span is closed under : , , , . For the closed ones, give the matrix.
A strong contribution: Each case justified; the closed cases include a matrix with an explicit basis order.
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