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By Definition 2.1, there exist real numbers,,,, such that (2.3).
Since is a generalized concave operator, hence there exist real numbers, such that.
Since is a generalized -concave operator, thus there exist real numbers,, such that, and, we have (2.24).
Since is an infinitesimal generator of the -semigroup of the infinitesimal generator there exist real constants (which is norm dependent) and satisfying since is a stability matrix, such that for any matrix norm Then, one gets from (2.4 - 2.5 2.4 - 2.5 supremum methat, induced by the supremum normetricthen the supremum norm (2.6).
This observation prompts us to define the following general null space condition: For each x, a ∈ X, there exist real constants α i ( x, a ) > 0, i = 1, 2, …, p, and β j ( x, a ) > 0, j = 1, 2, …, m, such that N [ A x, a ] ⊂ N [ K ( x ) − K ( a ) ], (NC).
That is to say, there exist real numbers (lambda _1le dots le lambda _r) and independent vectors (v_1,dots,v_r in V) (where (r = dim _{{mathbb C}} V))) such that begin{aligned} {fancyscript{H}}(v_i, v_i) = lambda _i {fancyscript{A}}(v_i,v_i). end{aligned}We can choose (v_i) such that ({fancyscript{A}}(v_i,v_i)=2) for all (i), as we assume from now on.
Let (c:mathbb{X^longrightarrowmathbb{Y}) be a mapping, and let there exist real numbers p, q, ({r =p+q neq-3}) and (epsilongeq0) such that (vert Delta_{1}c x,y vert leqepsilon vert xvert ^{p}vert yvert ^{q}) for all (x,yinmathbb{X^).
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According to [25], besides traffic that has no delay restrictions, there exist real-time streaming services with very strict delay requirements (150 ms-250 ms) and non-real time services that are interactive.
Let now m ∈ M k ∖ M 2. Since m is the function with bounded variation, by the Jordan theorem there exist real-valued functions μ 1, μ 2 which are nondecreasing and nonconstant on [ 0, 2 π ] such that m = μ 1 − μ 2, ∫ 0 2 π | d m ( t ) | = ∫ 0 2 π d μ 1 ( t ) + ∫ 0 2 π d μ 2 ( t ).
If there exist real-valued random variables and such that (4.13) holds: (4.13).
If there exist real-valued random variables and such that, for any,, (31).
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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