2003
DOI: 10.1016/s0022-1236(02)00041-1
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Standard symmetric operators in Pontryagin spaces: a generalized von Neumann formula and minimality of boundary coefficients

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Cited by 12 publications
(11 citation statements)
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“…Here and below, by a subspace we mean a closed linear subset. We apply the result to the following cases: 𝑇 is a standard relation [3] Conditions for the equality in 𝑀 Γ (𝑧) ⊆ 𝑀 Γ (𝑧) to hold are also discussed. The topic is important, for example, in a Hilbert space setting, provided one asks whether or not the Weyl family 𝑀 Γ corresponding to an e.u.b.p.…”
Section: Synopsis Main Resultsmentioning
confidence: 99%
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“…Here and below, by a subspace we mean a closed linear subset. We apply the result to the following cases: 𝑇 is a standard relation [3] Conditions for the equality in 𝑀 Γ (𝑧) ⊆ 𝑀 Γ (𝑧) to hold are also discussed. The topic is important, for example, in a Hilbert space setting, provided one asks whether or not the Weyl family 𝑀 Γ corresponding to an e.u.b.p.…”
Section: Synopsis Main Resultsmentioning
confidence: 99%
“…Here and below, by a subspace we mean a closed linear subset. We apply the result to the following cases: T is a standard relation [3] in a Pontryagin space (Corollary 4.6, Examples 4.2, 5.1) and normalΓ=Γ¯$\Gamma =\overline{\Gamma }$ is a b.r . for T+$T^+$, in which case MnormalΓ$M_\Gamma$ is a generalized Nevanlinna family (cf.…”
Section: Introductionmentioning
confidence: 99%
“…If additionally, α = β then also (1.5) The results in this note generalize and complete some algebraic ones in [2]. The notion of standard symmetric linear relation has been introduced in [2], and in connection with this notion, a von Neumann like formula has been proved for the case of standard symmetric linear operators.…”
Section: Introductionmentioning
confidence: 58%
“…The notion of standard symmetric linear relation has been introduced in [2], and in connection with this notion, a von Neumann like formula has been proved for the case of standard symmetric linear operators. The main ingredients of the proof of that formula are some descriptions of the range and the kernel of certain polynomial with simple squares in a linear operator.…”
Section: Introductionmentioning
confidence: 99%
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