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  "body": "\n## Summary\n\nThe Sylvester equation is the linear matrix equation $AX + XB = C$, in which the matrices $A$, $B$, $C$ are given and the matrix $X$ is unknown.\nIt has a unique solution exactly when $A$ and $-B$ have no common [[eigenvalue|0BQAA2BK3Q]].\nIt appears in block diagonalisation, in control theory, and as the general form of the [[Lyapunov equation|92GVPZH9FT]].\n\n## Explanations\n\n### L1 human\n\nThe equation asks for a matrix $X$ such that multiplying it by $A$ on the left and by $B$ on the right, and adding, gives $C$.\nAlthough $X$ is a matrix, the equation is linear in its entries, so it is a large system of ordinary linear equations.\nFor $1 \\times 1$ matrices it reads $ax + xb = c$, with the solution $x = c / (a + b)$ when $a + b \\ne 0$.\nThe condition $a + b \\ne 0$ becomes the condition on eigenvalues for larger matrices.\n",
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