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  "body": "\n## Summary\n\nA Besov space $B^s_{p,q}(\\R^n)$ is a space of functions or [[tempered distributions|AES2T5JPFP]] that measures smoothness of order $s$ in the $L^p$ sense.\nA third index $q$ gives a fine tuning.\nIt is defined by cutting the [[Fourier transform|DPVM34ADZV]] of a function into dyadic frequency shells and measuring each piece in $L^p$.\nBesov spaces contain many classical spaces, such as Hölder spaces and fractional Sobolev spaces, and they are stable under real [[interpolation|VX1R6FN6PS]].\nThey appear naturally as spaces of boundary values of Sobolev functions and in the study of nonlinear evolution equations.\n\n## Explanations\n\n### L1 human\n\nA function can be split into pieces that oscillate at frequencies of size about $1, 2, 4, 8, \\ldots$.\nSmoothness means that the high-frequency pieces are small.\nThe Besov norm asks that the piece at frequency $2^j$ be smaller than $2^{-js}$ in the $L^p$ sense, in a summable way controlled by $q$.\nFor $p = q = 2$ this is the familiar condition $\\int (1 + \\abs{\\xi}^2)^s \\abs{\\hat f(\\xi)}^2 \\, d\\xi \u003c \\infty$ on the Fourier transform.\n",
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