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Stochastic Evolution Equations
Čoupek, Petr ; Maslowski, Bohdan (advisor)
Stochastic Evolution Equations Petr Čoupek Doctoral Thesis Abstract Linear stochastic evolution equations with additive regular Volterra noise are studied in the thesis. Regular Volterra processes need not be Gaussian, Markov or semimartingales, but they admit a certain covariance structure instead. Particular examples cover the fractional Brownian motion of H > 1/2 and, in the non-Gaussian case, the Rosenblatt process. The solution is considered in the mild form, which is given by the variation of constants formula, and takes values either in a separable Hilbert space or the space Lp(D, µ) for large p. In the Hilbert-space setting, existence, space-time regularity and large-time behaviour of the solutions are studied. In the Lp setting, existence and regularity is studied, and in concrete cases of stochastic partial differential equations, the solution is shown to be a space-time continuous random field.
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Stochastic Evolution Equations
Čoupek, Petr ; Maslowski, Bohdan (advisor) ; Garrido-Atienza, María J. (referee) ; Hlubinka, Daniel (referee)
Stochastic Evolution Equations Petr Čoupek Doctoral Thesis Abstract Linear stochastic evolution equations with additive regular Volterra noise are studied in the thesis. Regular Volterra processes need not be Gaussian, Markov or semimartingales, but they admit a certain covariance structure instead. Particular examples cover the fractional Brownian motion of H > 1/2 and, in the non-Gaussian case, the Rosenblatt process. The solution is considered in the mild form, which is given by the variation of constants formula, and takes values either in a separable Hilbert space or the space Lp(D, µ) for large p. In the Hilbert-space setting, existence, space-time regularity and large-time behaviour of the solutions are studied. In the Lp setting, existence and regularity is studied, and in concrete cases of stochastic partial differential equations, the solution is shown to be a space-time continuous random field.
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Student's conception of regularity
Šmíd, Radek ; Novotná, Jarmila (advisor) ; Pilous, Derek (referee)
This paper is a view into the conception of regularity in mathematics. Possible approaches to the concept of regularity in mathematics are dicussed. There is a presentation of the characteristics and relations of regular geometric figures. The conception of regularity on the part of students is explored based on the analysis of the math textbooks. This analysis of textbooks in terms of regularity is also part of the work. The aim is to identify the types of objects which pupils are able to perceive as relationed by regularity of these objects and whether they rather use other criteria when selecting objects that do not belong to the group. Mostly the frequency and manner of expression of selection on the basis of regularity was monitored when analyzing acquired data, as well as the other most common selection criteria and the relations between the criteria used. Keywords: regularity, conception of regularity, geometry, questionnaire
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Sobolev-type Spaces on Metric Measure Spaces
Malý, Lukáš ; Pick, Luboš (advisor) ; Malý, Jan (referee) ; Shanmugalingam, Nages (referee)
Title: Sobolev-Type Spaces on Metric Measure Spaces Author: RNDr. Lukáš Malý Department: Department of Mathematical Analysis Supervisor: Prof. RNDr. Luboš Pick, CSc., DSc., Department of Mathematical Analysis Abstract: is thesis focuses on function spaces related to rst-order analysis in abstract metric measure spaces. In metric spaces, we can replace distributional gra- dients, whose de nition depends on the linear structure of Rn , by upper gradients that control the functions' behavior along all recti able curves. is gives rise to the so-called Newtonian spaces. e summability condition, considered in the thesis, is expressed using a general Banach function lattice quasi-norm and so an extensive framework is built. Sobolev-type spaces (mainly based on the Lp norm) on metric spaces, and Newtonian spaces in particular, have been under intensive study since the mid- s. Standard toolbox for the theory is set up in this general setting and Newto- nian spaces are proven complete. Summability of an upper gradient of a function is shown to guarantee the function's absolute continuity on almost all curves. Ex- istence of a unique minimal weak upper gradient is established. Regularization of Newtonian functions via Lipschitz truncations is discussed in doubling Poincaré spaces using weak boundedness of maximal...
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Movement in mathematics
Muchová, Zuzana ; Jirotková, Darina (advisor) ; Hejný, Milan (referee)
In my thesis I concern with the use of motoric activities in math classes. The chapters that offer a range of motoric activities were processed on the base of a questionnaire and an experiment. Some of the activities are currently being implemented in math classes by teachers of first, second and third grades at primary schools, others are part of textbooks designed for this age group. In addition to that, I offer five more possible activities, which have been recorded and interpreted within six experiments. The goal of the thesis is to demonstrate that physical movement cannot be separated from the life of six to nine years old children, and offer some motoric activities, which can potentially be contributive for development of mathematical skills and abilities.
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Signal complexity evaluation in the processing of functional magnetic resonance imaging
Vyhnánek, Jan ; Boldyš, Jiří (advisor) ; Dvořák, Jiří (referee)
Functional magnetic resonance imaging has been recently the most common tool for examining the neural activity in human and animals. The goal of a typical data-mining challenge is the localisation of brain areas activated during a cognitive task which is usually performed using a linear model or correlation methods. For this purpose several authors have proposed the use of methods evaluating signal complexity which could possibly overcome some of the shortcomings of the standards methods due to their independence on a priori knowledge of data characteristics. This work explains possibilities of using such methods including aspects of their configuration and it proposes an evaluation of performance of the methods applied on simulated data following expected biological characteristics. The results of the evaluation of performance showed little advantage of these methods over the standard ones in cases when the standard methods were possible to apply. However, some of the methods evaluating signal complexity were found useful for determining the regularity of signals which is a feature that cannot be assessed by the standard methods. Optimal parameters of the methods evaluating signal regularity were determined on simulated data and finally the methods were applied on the data examining emotional processing of...
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