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Title: Diagonalization
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Series: Linear Algebra
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Chapter: Eigenvalues and similar things
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YouTube-Title: Linear Algebra 64 | Diagonalization
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Bright video: https://youtu.be/vEdS1eQSffg
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Dark video: https://youtu.be/xrdUXznKZXQ
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Quiz: Test your knowledge
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Dark-PDF: Download PDF version of the dark video
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Print-PDF: Download printable PDF version
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Thumbnail (bright): Download PNG
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Thumbnail (dark): Download PNG
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Subtitle on GitHub: la64_sub_eng.srt missing
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Timestamps (n/a)
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Subtitle in English (n/a)
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Quiz Content
Q1: Let $A \in \mathbb{C}^{n \times n}$. What does it mean that $A$ similar to a diagonal matrix?
A1: There is an invertible matrix $X$ and a diagonal matrix $D$ such that: $$ D = X^{-1} A X $$
A2: There is a diagonal matrix $D$ such that: $$ D = A $$
A3: There is an invertible matrix $X$ such that: $$ A = X^{-1} A X $$
A4: There are $n$ eigenvectors of $A$.
Q2: Let $A \in \mathbb{C}^{n \times n}$ with $n$ eigenvectors that we put into the columns of a matrix $X$. Let $D$ be a diagonal matrix where we find the eigenvalues of $A$ on the diagonal. What is correct?
A1: $AX = XD$
A2: $A = XD$
A3: $XA = XD$
A4: $XA = DX$
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Last update: 2024-10