scholarly journals Large deviations for disordered bosons and multiple orthogonal polynomial ensembles

2011 ◽  
Vol 52 (7) ◽  
pp. 073510 ◽  
Author(s):  
Peter Eichelsbacher ◽  
Jens Sommerauer ◽  
Michael Stolz
Keyword(s):  
Large Deviations ◽  
Orthogonal Polynomial ◽  
Multiple Orthogonal Polynomial

scholarly journals WHAT IS...A Multiple Orthogonal Polynomial?

2016 ◽  
Vol 63 (09) ◽  
pp. 1029-1031 ◽  
Author(s):  
Andrei Martinez-Finkelshtein ◽  
Walter Van Assche
Keyword(s):  
Orthogonal Polynomial ◽  
Multiple Orthogonal Polynomial

Pengaruh Pemberian Kunyit (Curcuma domestica) terhadap Beberapa Kualitas Fisik dan Organoleptik Bakso Daging Itik

2013 ◽  
Vol 8 (1) ◽  
pp. 16-24
Author(s):  
Sari Murti ◽  
Suharyanto Suharyanto ◽  
Desia Kaharuddin
Keyword(s):  
Orthogonal Polynomial

ABSTRAKPenelitian ini bertujuan untuk mengevaluasi level kunyit yang tepat sehingga dapat meningkatkan kualitas bakso daging itik. Percobaan ini menggunakan Rancangan Acak Lengkap, yang terdiri dari empat perlakuan yaitu P0 (tanpa pemberian kunyit), P1 (pemberian kunyit taraf 2,5%), P2 (pemberian kunyit taraf 5%), dan P3 (pemberian kunyittaraf 7,5%), masing-masing perlakuan terdiri dari tiga ulangan. Hasil penelitian menunjukkan bahwa pemberian kunyit berpengaruh tidak nyata (P>0,05) terhadap variabel susut masak, daya mengikat air, pH dan tekstur bakso daging itik, tetapi nyata (P<0,05) meningkatkan skor warna, menurunkan derajat keamisan dan variabel sifat organoleptik rasa. Hasil yang berpengaruh nyata diuji lanjut menggunakan Orthogonal polynomial dengan menghasilkan persamaan linear dan kuadratik. Dari hasil penelitian disimpulkan bahwa penambahan kunyit 2,5% hingga 7,5% tidak menurunkan kualitas fisik (susut masak, pH, dan DMA). Penambahan kunyit 2,5% dapat mempertahankan cita rasa dan penerimaan umum panelis terhadap bakso daging itik.Kata kunci : Kunyit (Curcuma domestica), kualitas fisik, daging itik

A Useful Curve Fitting Method for Concrete Uniaxial Compressive Experiment Data

2011 ◽  
Vol 291-294 ◽  
pp. 1015-1020 ◽  
Author(s):  
Chong Jin ◽  
Hong Wang ◽  
Xiao Zhou Xia
Keyword(s):  
Experimental Data ◽  
Orthogonal Polynomial ◽  
Least Square ◽  
Base Function ◽  
Concrete Material ◽  
Fitting Method ◽  
Orthogonal Base ◽  
The Matrix ◽  
Uniform Function ◽  
Curve Fitting Method

Based on the superiority avoiding the matrix equation to be morbid for those fitting functions constructed by orthogonal base, the Legendre orthogonal polynomial is adopted to fit the experimental data of concrete uniaxial compression stress-strain curves under the frame of least-square. With the help of FORTRAN programming, 3 series of experimental data is fitted. And the fitting effect is very satisfactory when the item number of orthogonal base is not less than 5. What’s more, compared with those piecewise fitting functions, the Legendre orthogonal polynomial fitting function obtained can be introduced into the nonlinear harden-soften character of concrete constitute law more convenient because of its uniform function form and continuous derived feature. And the fitting idea by orthogonal base function will provide a widely road for studying the constitute law of concrete material.

scholarly journals Run-and-Tumble Motion: The Role of Reversibility

2021 ◽  
Vol 183 (3) ◽  
Author(s):  
Bart van Ginkel ◽  
Bart van Gisbergen ◽  
Frank Redig
Keyword(s):  
Free Energy ◽  
Diffusion Coefficient ◽  
Large Deviations ◽  
Energy Function ◽  
Internal State ◽  
Rate Function ◽  
Free Energy Function ◽  
Large Deviations Principle ◽  
Preferred Direction ◽  
State Process

AbstractWe study a model of active particles that perform a simple random walk and on top of that have a preferred direction determined by an internal state which is modelled by a stationary Markov process. First we calculate the limiting diffusion coefficient. Then we show that the ‘active part’ of the diffusion coefficient is in some sense maximal for reversible state processes. Further, we obtain a large deviations principle for the active particle in terms of the large deviations rate function of the empirical process corresponding to the state process. Again we show that the rate function and free energy function are (pointwise) optimal for reversible state processes. Finally, we show that in the case with two states, the Fourier–Laplace transform of the distribution, the moment generating function and the free energy function can be computed explicitly. Along the way we provide several examples.

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