"Hermitian matrix" meaning in English

See Hermitian matrix in All languages combined, or Wiktionary

Noun

IPA: /hɝ.ˈmɪ.ʃən ˈmeɪ.tɹɪks/ [US] Forms: Hermitian matrixes [plural], Hermitian matrices [plural]
Etymology: Named after French mathematician Charles Hermite (1822–1901), who demonstrated in 1855 that such matrices always have real eigenvalues. Head templates: {{en-noun|+|Hermitian matrices}} Hermitian matrix (plural Hermitian matrixes or Hermitian matrices)
  1. (linear algebra) A square matrix A with complex entries that is equal to its own conjugate transpose, i.e., such that A=A^†. Wikipedia link: Charles Hermite, Hermitian matrix Categories (topical): Linear algebra Synonyms: hermitian matrix Hypernyms: normal matrix Hyponyms: Pauli matrix, Gramian matrix, self-adjoint matrix, symmetric matrix, real matrix Translations (square matrix equal to its own conjugate transpose): hermitovská matice [feminine] (Czech), hermiittinen matriisi (Finnish), sjálfoka fylki [neuter] (Icelandic), hermískt fylki [neuter] (Icelandic), matrice hermitiana [feminine] (Italian), macierz hermitowska [feminine] (Polish), эрми́това ма́трица (ermítova mátrica) [feminine] (Russian), самосопряжённая ма́трица (samosoprjažónnaja mátrica) [feminine] (Russian)

Inflected forms

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  "etymology_text": "Named after French mathematician Charles Hermite (1822–1901), who demonstrated in 1855 that such matrices always have real eigenvalues.",
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      "form": "Hermitian matrixes",
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        {
          "text": "Hermitian matrices have real diagonal elements as well as real eigenvalues.",
          "type": "example"
        },
        {
          "text": "If a Hermitian matrix has a simple spectrum (of eigenvalues) then its eigenvectors are orthogonal.",
          "type": "example"
        },
        {
          "text": "If an observable can be described by a Hermitian matrix H, then for a given state #x5C;langleA#x5C;rangle, the expectation value of the observable for that state is #x5C;langleA#x7C;H#x7C;A#x5C;rangle.",
          "type": "example"
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          "text": "1988, I. M. Gelfand, M. I. Graev, Geometry of homogeneous spaces, representations of groups in homogeneous spaces and related questions of integral geometry, Israel M. Gelfand, Collected Papers, Volume II, Springer-Verlag, page 366,\nThere are three types of such spaces: the space of positive definite (or negative definite) Hermitian matrices, the space of nondefinite Hermitian matrices, and finally the space of degenerate Hermitian matrices p, satisfying the condition p ≥ 0 (or p ≤ 0)."
        },
        {
          "ref": "1997, A. W. Joshi, Elements of Group Theory for Physicists, New Age International, 4th Edition, page 129, For this we note that if H is a hermitian matrix, exp(iH) is a unitary matrix. The converse is also true, i.e., if U is any unitary matrix, then it can be expressed in the form U = exp(iH), (4.94)",
          "text": "where H is a hermitian matrix. Now any linear combination of hermitian matrices with real coefficients is again a hermitian matrix."
        },
        {
          "ref": "1998, Eugenio Iannone, Francesco Matera, Antonio Mecozzi, Marina Settembre, Nonlinear Optical Communication Networks, page 442:",
          "text": "Exploiting the properties of hermitian matrixes [2], it is possible to obtain an analytical expression for the characteristic function of a hermitian quadratic form of gaussian variables, which is useful in the evaluation of transmission system performance.",
          "type": "quote"
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        "A square matrix A with complex entries that is equal to its own conjugate transpose, i.e., such that A=A^†."
      ],
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          "word": "normal matrix"
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          "word": "Pauli matrix"
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          "word": "Gramian matrix"
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          "word": "self-adjoint matrix"
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          "word": "symmetric matrix"
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        "(linear algebra) A square matrix A with complex entries that is equal to its own conjugate transpose, i.e., such that A=A^†."
      ],
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        {
          "word": "hermitian matrix"
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          "code": "cs",
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          "sense": "square matrix equal to its own conjugate transpose",
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            "feminine"
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          "word": "hermitovská matice"
        },
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          "code": "fi",
          "lang": "Finnish",
          "sense": "square matrix equal to its own conjugate transpose",
          "word": "hermiittinen matriisi"
        },
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          "code": "is",
          "lang": "Icelandic",
          "sense": "square matrix equal to its own conjugate transpose",
          "tags": [
            "neuter"
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          "word": "sjálfoka fylki"
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          "word": "hermískt fylki"
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          "code": "it",
          "lang": "Italian",
          "sense": "square matrix equal to its own conjugate transpose",
          "tags": [
            "feminine"
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          "word": "matrice hermitiana"
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          "lang": "Polish",
          "sense": "square matrix equal to its own conjugate transpose",
          "tags": [
            "feminine"
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          "word": "macierz hermitowska"
        },
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          "code": "ru",
          "lang": "Russian",
          "roman": "ermítova mátrica",
          "sense": "square matrix equal to its own conjugate transpose",
          "tags": [
            "feminine"
          ],
          "word": "эрми́това ма́трица"
        },
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          "code": "ru",
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          "roman": "samosoprjažónnaja mátrica",
          "sense": "square matrix equal to its own conjugate transpose",
          "tags": [
            "feminine"
          ],
          "word": "самосопряжённая ма́трица"
        }
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        "Hermitian matrix"
      ]
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  "word": "Hermitian matrix"
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{
  "etymology_text": "Named after French mathematician Charles Hermite (1822–1901), who demonstrated in 1855 that such matrices always have real eigenvalues.",
  "forms": [
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      "form": "Hermitian matrixes",
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      "word": "normal matrix"
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      "word": "Pauli matrix"
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      "word": "Gramian matrix"
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      "word": "self-adjoint matrix"
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          "text": "Hermitian matrices have real diagonal elements as well as real eigenvalues.",
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          "text": "If a Hermitian matrix has a simple spectrum (of eigenvalues) then its eigenvectors are orthogonal.",
          "type": "example"
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        {
          "text": "If an observable can be described by a Hermitian matrix H, then for a given state #x5C;langleA#x5C;rangle, the expectation value of the observable for that state is #x5C;langleA#x7C;H#x7C;A#x5C;rangle.",
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          "text": "1988, I. M. Gelfand, M. I. Graev, Geometry of homogeneous spaces, representations of groups in homogeneous spaces and related questions of integral geometry, Israel M. Gelfand, Collected Papers, Volume II, Springer-Verlag, page 366,\nThere are three types of such spaces: the space of positive definite (or negative definite) Hermitian matrices, the space of nondefinite Hermitian matrices, and finally the space of degenerate Hermitian matrices p, satisfying the condition p ≥ 0 (or p ≤ 0)."
        },
        {
          "ref": "1997, A. W. Joshi, Elements of Group Theory for Physicists, New Age International, 4th Edition, page 129, For this we note that if H is a hermitian matrix, exp(iH) is a unitary matrix. The converse is also true, i.e., if U is any unitary matrix, then it can be expressed in the form U = exp(iH), (4.94)",
          "text": "where H is a hermitian matrix. Now any linear combination of hermitian matrices with real coefficients is again a hermitian matrix."
        },
        {
          "ref": "1998, Eugenio Iannone, Francesco Matera, Antonio Mecozzi, Marina Settembre, Nonlinear Optical Communication Networks, page 442:",
          "text": "Exploiting the properties of hermitian matrixes [2], it is possible to obtain an analytical expression for the characteristic function of a hermitian quadratic form of gaussian variables, which is useful in the evaluation of transmission system performance.",
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        "A square matrix A with complex entries that is equal to its own conjugate transpose, i.e., such that A=A^†."
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        "(linear algebra) A square matrix A with complex entries that is equal to its own conjugate transpose, i.e., such that A=A^†."
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    {
      "code": "cs",
      "lang": "Czech",
      "sense": "square matrix equal to its own conjugate transpose",
      "tags": [
        "feminine"
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      "word": "hermitovská matice"
    },
    {
      "code": "fi",
      "lang": "Finnish",
      "sense": "square matrix equal to its own conjugate transpose",
      "word": "hermiittinen matriisi"
    },
    {
      "code": "is",
      "lang": "Icelandic",
      "sense": "square matrix equal to its own conjugate transpose",
      "tags": [
        "neuter"
      ],
      "word": "sjálfoka fylki"
    },
    {
      "code": "is",
      "lang": "Icelandic",
      "sense": "square matrix equal to its own conjugate transpose",
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        "neuter"
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      "word": "hermískt fylki"
    },
    {
      "code": "it",
      "lang": "Italian",
      "sense": "square matrix equal to its own conjugate transpose",
      "tags": [
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      "word": "matrice hermitiana"
    },
    {
      "code": "pl",
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      "tags": [
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      "word": "macierz hermitowska"
    },
    {
      "code": "ru",
      "lang": "Russian",
      "roman": "ermítova mátrica",
      "sense": "square matrix equal to its own conjugate transpose",
      "tags": [
        "feminine"
      ],
      "word": "эрми́това ма́трица"
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    {
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      "lang": "Russian",
      "roman": "samosoprjažónnaja mátrica",
      "sense": "square matrix equal to its own conjugate transpose",
      "tags": [
        "feminine"
      ],
      "word": "самосопряжённая ма́трица"
    }
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  "word": "Hermitian matrix"
}

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