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Analysis of the mean squared derivative cost function. (English) Zbl 1384.49007

Summary: In this paper, we investigate the mean squared derivative cost functions that arise in various applications such as in motor control, biometrics and optimal transport theory. We provide qualitative properties, explicit analytical formulas and computational algorithms for the cost functions. We also perform numerical simulations to illustrate the analytical results. In addition, as a by-product of our analysis, we obtain an explicit formula for the inverse of a Wronskian matrix that is of independent interest in linear algebra and differential equations theory.

MSC:

49J15 Existence theories for optimal control problems involving ordinary differential equations
49S99 Variational principles of physics

References:

[1] RichardsonMJE, FlashT. Comparing smooth arm movements with the two‐thirds power law and the related segmented‐control hypothesis. Journal of Neuroscience2002; 22(18):8201-8211.
[2] HoganN. An organizing principle for a class of voluntary movements. Journal of Neuroscience1984; 4:2745-2754.
[3] FlashT, HogansN. The coordination of arm movements: an experimentally confirmed mathematical model. Journal of Neuroscience1985; 5:1688-1703.
[4] EngelbrechtSE. Minimum principles in motor control. Journal of Mathematical Psychology2001; 45:497-542. · Zbl 1039.92004
[5] CanutoJC. Biomechanical online signature modeling applied to verification. Theses, Institut National des Télécommunications, Paris, France, 2014.
[6] CanutoJ, DorizziB, MontalvaoJ. Dynamic signatures representation using the minimum jerk principle. In Biosignals and Biorobotics Conference: Biosignals and Robotics for Better and Safer Living (BRC)IEEE: Rio de Janeiro, Brazil, 1-6, 2013.
[7] FreemanP. Minimum jerk trajectory planning for trajectory constrained redundant robots. PhD thesis, Washington University in St. Louis, Missouri, United States, 2012.
[8] KolmogorovAN. Zufällige Bewegungen. Annals of Mathematics1934; 35(2):116-117. · JFM 60.1159.01
[9] HörmanderL. Hypoelliptic second order differential equations. Acta Mathematica1967; 119:147-171. · Zbl 0156.10701
[10] DesvillettesL, VillaniC. On the trend to global equilibrium in spatially inhomogeneous entropy‐dissipating systems: the linear fokker‐planck equation. Communications on Pure and Applied Mathematics2001; 54(1):1-42. · Zbl 1029.82032
[11] DelarueF, MenozziS. Density estimates for a random noise propagating through a chain of differential equations. Journal of Functional Analysis2010; 259(6):1577-1630. · Zbl 1223.60037
[12] DuongMH, LamaczA, PeletierMA, SharmaU. Variational approach to coarse‐graining of generalized gradient flows2015. Arxiv: 1507.03207.
[13] DuongMH, PeletierMA, ZimmerJ. GENERIC formalism of a Vlasov‐Fokker‐Planck equation and connection to large‐deviation principles. Nonlinearity2013; 26(11):2951-2971. · Zbl 1288.60029
[14] DuongMH. Long time behaviour and particle approximation of a generalised Vlasov dynamic. Nonlinear Analysis: Theory, Methods and Applications2015; 127:1-16. · Zbl 1330.35456
[15] VillaniC. Topics in Optimal Transportation, Volume 58 of Graduate Studies in Mathematics. American Mathematical Society: Providence, RI, 2003. · Zbl 1106.90001
[16] VillaniC. Optimal Transport: Old and New. Grundlehren der Mathematischen Wissenschaften. Springer: Berlin, 2009. · Zbl 1156.53003
[17] AmbrosioL, GigliN, SavaréG. Gradient Flows: In Metric Spaces and in the Space of Probability Measures, (2nd edn.), Lectures in Mathematics. ETH Zürich. Birkhauser, Basel: Switzerland, 2008. · Zbl 1145.35001
[18] JordanR, KinderlehrerD, OttoF. The variational formulation of the fokker‐planck equation. SIAM Journal on Mathematical Analysis1998; 29(1):1-17. · Zbl 0915.35120
[19] DuongMH, PeletierMA, ZimmerJ. Conservative‐dissipative approximation schemes for a generalized kramers equation. Mathematical Methods in the Applied Sciences2014; 37(16):2517-2540. · Zbl 1370.35165
[20] HuangC. A variational principle for the Kramers equation with unbounded external forces. Journal of Mathematical Analysis and Applications2000; 250(1):333-367. · Zbl 0971.82031
[21] GangboW, WestdickenbergM. Optimal transport for the system of isentropic Euler equations. Communication in Partial Differential Equations2009; 34(7‐9):1041-1073. · Zbl 1182.35161
[22] WestdickenbergM. Projections onto the cone of optimal transport maps and compressible fluid flows. Journal of Hyperbolic Differential Equations2010; 7(4):605-649. · Zbl 1213.35304
[23] CavallettiF, SedjroM, WestdickenbergM. A variational time discretization for the compressible euler equations2014. Arxiv: 1411.1012.
[24] DuongMH, TranMH. On the fundamental solution and a variational formulation of a degenerate diffusion of Kolmogorov type2017. arXiv:1703.07622.
[25] DemboA, ZeitouniO. Large Deviations Techniques and Applications, Volume 38 of Stochastic Modelling and Applied Probability, 2nd edn. Springer: New York, NY, USA, 1987.
[26] AronsonDG. Bounds for the fundamental solution of a parabolic equation. Bulletin of the American Mathematical Society1967; 73:890-896. · Zbl 0153.42002
[27] BostanA, DumasP. Wronskians and linear independence. The American Mathematical Monthly2010; 117(8):722-727. · Zbl 1202.00030
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