• 제목/요약/키워드: Nonlinear Manifolds

검색결과 26건 처리시간 0.022초

GRADIENT ESTIMATES AND HARNACK INEQUALITES OF NONLINEAR HEAT EQUATIONS FOR THE V -LAPLACIAN

  • Dung, Ha Tuan
    • 대한수학회지
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    • 제55권6호
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    • pp.1285-1303
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    • 2018
  • This note is motivated by gradient estimates of Li-Yau, Hamilton, and Souplet-Zhang for heat equations. In this paper, our aim is to investigate Yamabe equations and a non linear heat equation arising from gradient Ricci soliton. We will apply Bochner technique and maximal principle to derive gradient estimates of the general non-linear heat equation on Riemannian manifolds. As their consequence, we give several applications to study heat equation and Yamabe equation such as Harnack type inequalities, gradient estimates, Liouville type results.

ON THE CONFORMAL DEFORMATION OVER WARPED PRODUCT MANIFOLDS

  • YOON-TAE JUNG;CHEOL GUEN SHIN
    • 한국수학교육학회지시리즈B:순수및응용수학
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    • 제4권1호
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    • pp.27-33
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    • 1997
  • Let (M = B$\times$f F, g) be an ($n \geq3$ )-dimensional differential manifold with Riemannian metric g. We solve the following elliptic nonlinear partial differential equation (equation omitted). where $\Delta_{g}$ is the Laplacian in the $\Delta$g-metric and ($h(\chi)$) is the scalar curvature of g and ($H(\chi)$) is a function on M.

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파워팩 상태의 가스발생기 동적 연소 특성 분석 (Analysis of Pressure Fluctuations in a Gas Generator Assembled in a Powerpack)

  • 서성현;한영민;최환석
    • 한국추진공학회:학술대회논문집
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    • 한국추진공학회 2009년도 춘계학술대회 논문집
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    • pp.145-148
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    • 2009
  • 연료 과농 가스발생기의 연소시험이 파워팩 환경에서 수행되었다. 가스발생기는 파워팩 환경에서 특성 길이 증가로 인해 축 방향 연소 불안정에 취약하다. 가스발생기 후단에 압력 강하를 위해 삽입한 오리피스는 축 방향 연소 안정성을 향상시켜주는 것으로 확인되었다. 연소실과 추진제 매니폴드에서 측정한 압력 섭동의 세기는 연소실 압력의 제곱에 비례하여 증가하였다. 특히 연료 매니폴드 내의 압력 섭동이 산화제 매니폴드 또는 연소실 압력 섭동보다 약 2배 이상 크게 발생하였다. 주파수 분석 결과, 연료 매니폴드 압력 섭동은 비선형적인 특성을 내포하고 있는 것으로 파악되었다.

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Influence of green roofs on the seismic response of frame structures

  • Bianchini, Fabricio;Haque, A.B.M. Rafiqul;Hewage, Kasun;Alam, M. Shahria
    • Earthquakes and Structures
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    • 제11권2호
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    • pp.265-280
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    • 2016
  • Environmental and operational benefits of green roofs are manifolds; however, their main disadvantages are cost and weight. New technology enabled the use of plastics to reduce the weight of green roof systems to promote their installation. To maximize their potential benefits, green roofs can be installed on existing structures. This study evaluates the influence of green roofs on the seismic response of 3, 6, and 8 storey reinforced concrete ductile moment resisting frames, which were designed according to current seismic standards, however, not designed for green roofs. For each frame, three different types of roofs are considered: gravel flat roof, extensive green roof, and intensive green roof. Nonlinear dynamic time history analysis using an ensemble of twenty real earthquake records was performed to determine the inter-storey drift demand and roof drift demand for each frame. Eigenvalue analysis was also performed to determine the impact of green roofs weight on the elastic and cracked periods of the structure. Results from the analysis demonstrated that intensive and extensive green roofs do not affect the seismic performance of reinforced concrete frame structures.

Dual graph-regularized Constrained Nonnegative Matrix Factorization for Image Clustering

  • Sun, Jing;Cai, Xibiao;Sun, Fuming;Hong, Richang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제11권5호
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    • pp.2607-2627
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    • 2017
  • Nonnegative matrix factorization (NMF) has received considerable attention due to its effectiveness of reducing high dimensional data and importance of producing a parts-based image representation. Most of existing NMF variants attempt to address the assertion that the observed data distribute on a nonlinear low-dimensional manifold. However, recent research results showed that not only the observed data but also the features lie on the low-dimensional manifolds. In addition, a few hard priori label information is available and thus helps to uncover the intrinsic geometrical and discriminative structures of the data space. Motivated by the two aspects above mentioned, we propose a novel algorithm to enhance the effectiveness of image representation, called Dual graph-regularized Constrained Nonnegative Matrix Factorization (DCNMF). The underlying philosophy of the proposed method is that it not only considers the geometric structures of the data manifold and the feature manifold simultaneously, but also mines valuable information from a few known labeled examples. These schemes will improve the performance of image representation and thus enhance the effectiveness of image classification. Extensive experiments on common benchmarks demonstrated that DCNMF has its superiority in image classification compared with state-of-the-art methods.

해저 파문에서의 입자의 라그란지적 혼돈 및 확산 (Lagrangian Chaos and Dispersion of Passive Particles on the Ripple Bed)

  • 김현민;서용권
    • 한국해양공학회지
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    • 제7권1호
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    • pp.13-24
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    • 1993
  • 해양오염은 환경파괴의 주요 인자이다. 해양바닥에 가라않은 오염물질을 근본적으로 제거하는 문제와는 별도로, 파동(wave)에 의해 그것이 자동적으로확산될 수가 있다. 파문(ripple)으로 덮혀진 해저(sea bottom)에서 표면의 중력파에 의한 물의 수평방향 요동운동은 와류(vrotices)를 발생시칸다. 이런한 유동장은 해저 침전물을 부유시켜 멀리까지 화가신시키는 작용을 한다.파문주위의 유동장을 살펴보면 모서리(crest)에서 발생된 와류로 인해 정상유동성분이 존재하며 이런한 정상유동은 파문의 주기적 형상으로인해 다분히 순환적이다. 이ㅔ 파동에 의한 요동운동이 가세하면 Taylor 와류와 같은 효과를 보여 줄 것이다. 해저부근에서의 이러한 확산효과를 보기 위하여, 해양유동을 단순화하여 최근 널리 이용되고 있는 혼돈이론을 가미시켰다. 아주 단순한 유동이라도 복잡한 입자의 궤적을 나타내며 입자의 확산과 연관됨을 수치해석을 이용하여 보여준다.

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