{
  "annotation_id": "5d80ad62-0c7e-4c83-8766-2b7990f0fa87",
  "date_created": "2026-03-02T18:02:22.882000Z",
  "date_modified": "2026-03-02T18:02:22.882000Z",
  "file_hash": "101bfc8437f9e5b1040cc78a7849125a52fa6baab4867ad76ef87e0d311f6cd4",
  "private": false,
  "record": {
    "abstract": "We have presented a new axiomatic derivation of Shannon Entropy for a\ndiscrete probability distribution on the basis of the postulates of additivity\nand concavity of the entropy function.We have then modified shannon entropy to\ntake account of observational uncertainty.The modified entropy reduces, in the\nlimiting case, to the form of Shannon differential entropy. As an application\nwe have derived the expression for classical entropy of statistical mechanics\nfrom the quantized form of the entropy.",
    "arxiv_id": "quant-ph/0511171",
    "authors": [
      "C. G. Chakrabarti",
      "Indranil Chakrabarty"
    ],
    "categories": [
      "quant-ph"
    ],
    "journal_ref": "IJMMS Vol-17,2847-2854 (2005)",
    "title": "Shannon Entropy: Axiomatic Characterization and Application",
    "url": "https://arxiv.org/abs/quant-ph/0511171"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "82f4c686-21a4-4f7b-9e31-b6c5c4601050",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}