In this article, some spectral characteristics of the operator P are considered.
The multidimensionality of the concept of MWL and the subjective perception involved implies different fundamental aspects like characteristics of the task, characteristics of the operator, environmental context in which the performance occurs, time pressure, and subjective aspects related to it, such as stress or the perception fatigue (Hart & Staveland, 1988; Eggemeier, 1988; ISO, 2000).
In this scheme, a MCO is first designed to fully utilize the advantage of the closing & opening gradient operator and the closing opening & opening closing gradient operator for feature extraction as well as the merit of excellent denoising characteristics of the convolution operator.
In Section 3, we discuss some characteristics of the integral operator associated with the problem and state a fixed-point theorem in cones.
3, we present some characteristics of the integral operator associated with system (1.1)–(1.2) and state two fixed point theorems in cones.
In [1], the authors consider a certain matrix elliptic differential operator and some spectral characteristics of this operator.
Characteristic polynomials of the operator groups, are (225).
Since the characteristic values of the operator (A'_{infty}) are (frac{lambda_{1}}{f_{infty}}, frac{lambda_{2}}{f_{infty}}, ldots ) , noting that (f_{infty}neqlambda_{k}), (k=2,3,ldots ) , we know that 1 is not a characteristic value of (A'_{infty}).
Since the characteristic values of the operator (A'_{theta}) are (frac{lambda_{1}}{f_{0}}, frac{lambda_{2}}{f_{0}},ldots ) , it follows from condition (ii) that (A'_{theta}) has a characteristic value (frac{lambda_{1}}{f_{0}}<1).
The function (omega z)) is called the characteristic function of the operator L. It is easy to see from (2.4) that alpha_{n}:= int_{0}^{1}biglvert u_ x, lambda_{n} bigrvert ^{2},dx=frac{1}{kappa _{n}^{2}} int_{0}^{1}biglvert u_ x, lambda_{n} bigrvert ^{2},dx, (2.6) where (alpha_{n}) is the normalizing constant corresponding to (lambda _{n}).
Numerical experiments showed that the stability and convergence characteristics of the new implicit operator are significantly better than those of other existing implicit operators for calculating flows ranging from subsonic to hypersonic speeds.
