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For reader interested in the Mittag-Leffler function, we suggest a recent nice book [14] and the paper [15] particularly regarding the asymptotic algebraic behavior of this function.
Our selected parameters result in a utility function which is negative; however, behavior of this function versus system state is such that by maximizing it we will maximize rate while minimizing energy and delay.
Asymptotic behavior of this function for large values of the argument of (zin {mathbb{C}}) was studied in [15], and under the condition sum_{j=1}^{q}beta _{j}- sum_{i=1}^{p}alpha _{i}>-1, (1.14) was found in [16, 17].
Systems analysis using transfer functions, however, allows consideration of a multi-value compliance as a function of input frequency--and the specific behavior of this function near the observed heart rate is of particular interest for probing the ability of the cranium (i.e., the system) to absorb the pulsatile energy due to the cardiac pulsations.
In summary, the theoretical results show that expression (1) can be written as a function of the multiallelic LD coefficients of R, and that the decreasing behavior of this function depends on the nature of the AIP (see equations (2), (3), (4), (5) and (6) of this section).
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To do this, as N → ∞ investigate the asymptotic behavior of the function.
(a) Behavior of the function IntegrandKL.
The behavior of the function φ tells us that φ ′ has exactly one zero.
It is worth investigating how changes in life history reflect on the behavior of the function (k_{2}).
In Figures 1, 2 and 3 you can see the behavior of the function f on different intervals.
Remark 3.4 It is worth visualizing the behavior of the function near ν = 0 for large n more generally.
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