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  "body": "\n## Summary\n\nA square root of a square matrix $A$ is a matrix $B$ with $B^2 = A$.\nA matrix can have no square root, finitely many, or infinitely many.\nA [[positive semidefinite matrix|01MMVW8CKC]] has exactly one positive semidefinite square root; see [[square root of a positive semidefinite matrix|0BJVDCF38Y]].\nThis square root is used in statistics, polar decompositions and quantum mechanics.\n\n## Explanations\n\n### L1 human\n\nFor numbers, a square root of $a$ is a number $b$ with $b^2 = a$.\nFor matrices the idea is the same, with matrix multiplication.\nThe diagonal matrix with entries $4$ and $9$ has the square root with entries $2$ and $3$, and also those with entries $\\pm 2$ and $\\pm 3$.\nThe identity matrix of size $2$ even has infinitely many square roots, such as every reflection of the plane.\n",
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