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Assume that B is a strongly positive linear bounded operator on the Hilbert space H with a coefficient γ ¯ > 0 and 0 < ϱ < ∥ B ∥ − 1.
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Let be a strongly positive linear bounded operator on : that is, there is a constant with property (1.6).
Assume B is a strong positive linear bounded operator on a Hilbert space H with the coefficient γ ¯ > 0 and 0 < ρ ≤ ∥ B ∥ − 1.
Assume A is a strongly positive linear bounded operator on a Hilbert space H with the coefficient γ ¯ > 0 and 0 < ρ ≤ ∥ A ∥ − 1, then ∥ I − ρ A ∥ ≤ 1 − ρ γ ¯.
Let A be a strongly positive linear bounded operator on H if there is a constant γ ¯ > 0 with the property 〈 A x, x 〉 ≥ γ ¯ ∥ x ∥ 2, ∀ x ∈ H.
where is a strongly positive linear bounded operator on, is a contraction on and.
Assume is a strongly positive linear bounded operator on a Hilbert space with coefficient and.
Assume that is a strong positive linear bounded operator on a Hilbert space with coefficient and.
Let be a strongly positive linear bounded operator on with coefficient and.
Assume is a strongly monotone linear bounded operator on a Hilbert space with coefficient.
Since is a linear bounded operator on, by (1.27), we have (3.14).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com