{
  "aliases": null,
  "backlinks": [
    {
      "field": "uses",
      "target": "01ZWX875AT"
    },
    {
      "field": "uses",
      "target": "027JF1FBB0"
    },
    {
      "field": "uses",
      "target": "028Z8WC5Y9"
    },
    {
      "field": "uses",
      "target": "05FSTXM92W"
    },
    {
      "field": "uses",
      "target": "06395GBNWD"
    },
    {
      "field": "uses",
      "target": "07CHJ5YX28"
    },
    {
      "field": "uses",
      "target": "07RXBVTVZB"
    },
    {
      "field": "uses",
      "target": "0NA6Q82YR7"
    },
    {
      "field": "uses",
      "target": "0PP5ZAJPP7"
    },
    {
      "field": "uses",
      "target": "0RFMMBHFTV"
    },
    {
      "field": "uses",
      "target": "0WGDPYR30Q"
    },
    {
      "field": "uses",
      "target": "0YVDC5PYDW"
    }
  ],
  "body": "\n## Definition\n\nLet $X$ be a real random variable on a probability space $(\\Omega, \\mathcal{F}, P)$.\nA probability density function of $X$ is a Borel measurable function $f \\colon \\mathbb{R} \\to [0, \\infty)$ such that $P(X \\in B) = \\int_B f(x) \\, dx$ for each Borel set $B \\subseteq \\mathbb{R}$.\nSo $X$ has a probability density function if and only if $X$ is a [[random variable with a density|0C21RZG5V2]].\n\n## Remarks\n\nEach density satisfies $\\int_{-\\infty}^{\\infty} f(x) \\, dx = 1$. Two densities of $X$ are equal except on a set of Lebesgue measure zero.\n$P(a \\le X \\le b) = \\int_a^b f(x) \\, dx$ for $a \\le b$.\nIf the [[cumulative distribution function|0MXMS3AE13]] $F_X$ is differentiable at $x$ and $f$ is continuous at $x$, then $F_X'(x) = f(x)$.\nA density can be larger than $1$. The uniform distribution on $[0, 1/2]$ has the density $2$ on this interval.\n\n## Explanations\n\n### L1 human\n\nThe density $f(x)$ is not a probability. It is a probability per unit of length near $x$.\nFor a small $h$, the probability that $X$ lies between $x$ and $x + h$ is about $f(x) \\, h$.\n",
  "commit": "f591989ed15704e9d8755a7a5a6426d73de7a3ae",
  "front": {
    "defines": "0ZY9DX8FBF",
    "kind": "definition",
    "msc": [
      "60E05"
    ],
    "name": "Probability density function",
    "sources": [
      {
        "locator": "Formal definition",
        "url": "https://en.wikipedia.org/wiki/Probability_density_function"
      }
    ],
    "tag": "04YG690N5V",
    "uses": [
      "0C21RZG5V2",
      "0MXMS3AE13"
    ]
  },
  "kind": "definition",
  "link": "https://math2.tamnd.com/node/04YG690N5V/",
  "links": [
    {
      "field": "defines",
      "target": "0ZY9DX8FBF"
    },
    {
      "field": "uses",
      "target": "0C21RZG5V2"
    },
    {
      "field": "uses",
      "target": "0MXMS3AE13"
    }
  ],
  "markdown": "https://math2.tamnd.com/node/04YG690N5V.md",
  "msc": [
    "60E05"
  ],
  "name": "Probability density function",
  "prov": null,
  "role": "",
  "source": "https://github.com/tamnd/math2/blob/main/nodes/04Y/04YG690N5V.md",
  "status": null,
  "tag": "04YG690N5V",
  "uri": "m2://04YG690N5V",
  "url": "https://math2.tamnd.com/wiki/probability-density-function-definition/",
  "writing": {
    "tag": "04YG690N5V",
    "kind": "definition",
    "level": "W1",
    "next": [
      {
        "what": "edge instance_of in",
        "note": "one example",
        "have": 0,
        "want": 1
      },
      {
        "what": "edge not_instance_of in",
        "note": "one non-example that fails one clause",
        "have": 0,
        "want": 1
      }
    ]
  }
}
