• Title/Summary/Keyword: numerical radius

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Estimations of Zeros of a Polynomial Using Numerical Radius Inequalities

  • Bhunia, Pintu;Bag, Santanu;Nayak, Raj Kumar;Paul, Kallol
    • Kyungpook Mathematical Journal
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    • v.61 no.4
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    • pp.845-858
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    • 2021
  • We present new bounds for the numerical radius of bounded linear operators and 2 × 2 operator matrices. We apply upper bounds for the numerical radius to the Frobenius companion matrix of a complex monic polynomial to obtain new estimations for the zeros of that polynomial. We also show with numerical examples that our new estimations improve on the existing estimations.

THERE ARE NO NUMERICAL RADIUS PEAK n-LINEAR MAPPINGS ON c0

  • Sung Guen Kim
    • Bulletin of the Korean Mathematical Society
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    • v.60 no.3
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    • pp.677-685
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    • 2023
  • For n ≥ 2 and a real Banach space E, 𝓛(nE : E) denotes the space of all continuous n-linear mappings from E to itself. Let Π (E) = {[x*, (x1, . . . , xn)] : x*(xj) = ||x*|| = ||xj|| = 1 for j = 1, . . . , n }. An element [x*, (x1, . . . , xn)] ∈ Π(E) is called a numerical radius point of T ∈ 𝓛(nE : E) if |x*(T(x1, . . . , xn))| = v(T), where the numerical radius v(T) = sup[y*,y1,...,yn]∈Π(E)|y*(T(y1, . . . , yn))|. For T ∈ 𝓛(nE : E), we define Nradius(T) = {[x*, (x1, . . . , xn)] ∈ Π(E) : [x*, (x1, . . . , xn)] is a numerical radius point of T}. T is called a numerical radius peak n-linear mapping if there is a unique [x*, (x1, . . . , xn)] ∈ Π(E) such that Nradius(T) = {±[x*, (x1, . . . , xn)]}. In this paper we present explicit formulae for the numerical radius of T for every T ∈ 𝓛(nE : E) for E = c0 or l. Using these formulae we show that there are no numerical radius peak mappings of 𝓛(nc0 : c0).

ON NUMERICAL RANGE AND NUMERICAL RADIUS OF CONVEX FUNCTION OPERATORS

  • Zaiz, Khaoula;Mansour, Abdelouahab
    • Korean Journal of Mathematics
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    • v.27 no.4
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    • pp.879-898
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    • 2019
  • In this paper we prove some interesting inclusions concerning the numerical range of some operators and the numerical range of theirs ranges with a convex function. Further, we prove some inequalities for the numerical radius. These inclusions and inequalities are based on some classical convexity inequalities for non-negative real numbers and some operator inequalities.

A STUDY ON TAYLOR FLOW ACCORDING TO RADIUS RATION AND ANGULAR VELOCITY (반경비 및 각속도의 변화에 따른 Taylor 유동에 관한 연구)

  • Bae, K.Y.;Kim, H.B.;Chung, H.T.
    • 한국전산유체공학회:학술대회논문집
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    • 2007.10a
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    • pp.127-133
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    • 2007
  • This paper represents the numerical study on Taylor flow according to the radius ratio and the angular velocity for flow between tow cylinder. The numerical model is consisted of two cylinder which inner cylinder is rotating and outer cylinder is fix, and the axial direction is used the cyclic condition because of the length for axial direction is assumed infinite. The diameter of inner cylinder is assumed 86.8 mm, the numerical parameters are angular velocity and radius ratio. The numerical method is compared with the experimental results by Wereley, and the results are very good agreement. The critical Taylor number is calculated by theoretical and numerical analysis, and the results is showed the difference about ${\pm}10\;%$. As $Re/Re_c$ is increased, Taylor vortex is changed to wavy vortex, and then the wave number for azimuthal direction is increased. Azimuthal wave according to the radius ratio is showed high amplitude and low frequence in case of small radius ratio, and is showed low amplitude and high frequence in case of large radius ratio.

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Norm and Numerical Radius of 2-homogeneous Polynomials on the Real Space lp2, (1 < p > ∞)

  • Kim, Sung-Guen
    • Kyungpook Mathematical Journal
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    • v.48 no.3
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    • pp.387-393
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    • 2008
  • In this note, we present some inequalities for the norm and numerical radius of 2-homogeneous polynomials from the 2-dimensional real space $l_p^2$, (1 < p < $\infty$) to itself in terms of their coefficients. We also give an upper bound for n^{(k)}(l_p^2), (k = 2, 3, $\cdots$).

SOME NUMERICAL RADIUS INEQUALITIES FOR SEMI-HILBERT SPACE OPERATORS

  • Feki, Kais
    • Journal of the Korean Mathematical Society
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    • v.58 no.6
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    • pp.1385-1405
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    • 2021
  • Let A be a positive bounded linear operator acting on a complex Hilbert space (𝓗, ⟨·,·⟩). Let ωA(T) and ║T║A denote the A-numerical radius and the A-operator seminorm of an operator T acting on the semi-Hilbert space (𝓗, ⟨·,·⟩A), respectively, where ⟨x, y⟩A := ⟨Ax, y⟩ for all x, y ∈ 𝓗. In this paper, we show with different techniques from that used by Kittaneh in [24] that $$\frac{1}{4}{\parallel}T^{{\sharp}_A}T+TT^{{\sharp}_A}{\parallel}_A{\leq}{\omega}^2_A(T){\leq}\frac{1}{2}{\parallel}T^{{\sharp}_A}T+TT^{{\sharp}_A}{\parallel}_A.$$ Here T#A denotes a distinguished A-adjoint operator of T. Moreover, a considerable improvement of the above inequalities is proved. This allows us to compute the 𝔸-numerical radius of the operator matrix $\(\array{I&T\\0&-I}\)$ where 𝔸 = diag(A, A). In addition, several A-numerical radius inequalities for semi-Hilbert space operators are also established.

Development of a Kinematic Wave Model to Route Overland Flow in Vegetated Area (I) -Theory and Numerical Solution- (초지의 지표면 흐름을 추적하기위한 Kinematic Wave Model의 개발(I) -이론 Model의 개발-)

  • ;W.L.MAGETTE
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.35 no.2
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    • pp.57-64
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    • 1993
  • A modified kinematic wave model of the overland flow in vegetated filter strips was developed. The model can predict both flow depth and hydraulic radius of the flow. Existing models can predict only mean flow depth. By using the hydraulic radius, erosion, deposition and flow's transport capacity can be more rationally computed. Spacing hydraulic radius was used to compute flow's hydraulic radius. Numerical solution of the model was accomplished by using both a second-order nonlinear scheme and a linear solution scheme. The nonlinear portion of the model ensures convergence and the linear portion of the model provides rapid computations. This second-order nonlinear scheme minimizes numerical computation errors that may be caused by linearization of a nonlinear model. This model can also be applied to golf courses, parks, no-till fields to route runoff and production and attenuation of many nonpoint source pollutants.

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