348 research outputs found
Integrals on -adic upper half planes and Hida families over totally real fields
Bertolini-Darmon and Mok proved a formula of the second derivative of the
two-variable -adic -function of a modular elliptic curve over a totally
real field along the Hida family in terms of the image of a global point by
some -adic logarithm map. The theory of -adic indefinite integrals and
-adic multiplicative integrals on -adic upper half planes plays an
important role in their work. In this paper, we generalize these integrals for
-adic measures which are not necessarily -valued, and prove a
formula of the second derivative of the two-variable -adic -function of
an abelian variety of -type associated to a Hilbert modular form
of weight 2.Comment: to appear in Osaka Journal of Mathematic
Bounded weighted composition operators on functional quasi-Banach spaces and stability of dynamical systems
In this paper, we investigate the boundedness of weighted composition
operators defined on a quasi-Banach space continuously included in the space of
smooth functions on a manifold. We show that the boundedness of a weighted
composition operator strongly limits the dynamics of the original map, and it
provides us an effective method to investigate properties of weighted
composition operators via the theory of dynamical system. As a result, we prove
that only an affine map can induce a bounded composition operator on an
arbitrary quasi-Banach space continuously included in the space of entire
functions of one-variable. We also obtain the same result for bounded weighted
composition operators on infinite dimensional quasi-Banach space under certain
condition for weights. We also prove that any polynomial automorphism except an
affine transform cannot induce a bounded weighted composition operator with
non-vanishing weight on a quasi-Banach space composed of entire functions in
the two-dimensional complex affine space under certain conditions.Comment: We generalize the previous version to the weighted cas
Analysis of Arc Phenomena in Boundary Layer Of MHD Generator Channel
By means of a time-dependent two-dimensional numerical simulation utilizing the Finite Element Method, we study arc phenomena analytically in the boundary layer of the Faraday MHD power generator using petroleum-fired gas plasma as the working fluid, and get the following several results. On the anode side, the calculated values of the electrode voltage drop agree very well with the experimental ones, which demonstrates that the calculation simulates the experiment considerably well. On low temperature electrode, the current flow becomes the big arc with high temperature and large current density. The generation, movement, keeping and disappearance of the arc depend on a balance among the effect of convection, the Hall effect and the braking force based on the Lorentz force. The positions of the generated arc and the behavior of the arc-cycle are decided mainly by the effect of convection and by the electrode temperature. The period of the arc-cycle and the width of the arc are closely connected with the temperature of the electrode wall and the load resistance
Correlation Analysis of Features for Fusing in User Verification Using EEG Evoked by Ultrasound
In user verification using electroencephalograms (EEGs) evoked by ultrasound, an error rate of 0% was achieved. However, to achieve this, the classifiers for the number of features multiplied by the number of electrodes must be learned. Therefore, reducing the number of classifiers is crucial and must be achieved. This study confirmed that the random selection of features and electrodes facilitates further reduction in the number of classifiers. Random selection is equivalent to evenly selecting electrodes for each feature and electrode position. Consequently, the effectiveness of even selection was statistically confirmed. Furthermore, even selection resulted in the fusion of uncorrelated features. Thus, four statistical values of an EEG were introduced, and the effectiveness of fusing uncorrelated (independent) features was confirmed
An experimental study on the efferent connections of the amygdaloid complex in the cat
The amygdalofugal fibers were studied III the cat with the silver method of NAUTA-GYGAX. 1. The amygdalofugal fibers are distributed by way of the stria terminalis, the longitudinal association bundle, the inferior thalamic
peduncle, and the medial forebrain bundle. 2. The amygdalofugal fibers running through the longitudinal association bundle arise in the lateral principal, intermediate principal nuclei and the lateral and possibly intermediate parts of the periamygdaloid cortex, and terminate in the lateral preoptic nucleus, the bed nucleus of the anterior commissure, the olfactory tubercle, the nucleus of the diagonal band of Broca, the nucleus accumbens, the medial and posterior septal
nuclei and the basal part of the head of the caudate nucleus. In addition, there are scattered fibers coursing along the longitudinal association bundle proper. These fibers may have a widespread origin from the amygdaloid
complex. The longitudinal association bundle contributes no fibers to the medial forebrain bundle. 3. The fibers, originating from the lateral principal, intermediate principal and medial principal nuclei, join the medial forebrain bundle to distribute widely in the lateral hypothalamic nucleus. A few fibers are seen to reach the ventromedial hypothalamic nucleus, and are considered to arise in the medial principal nucleus. 4. By way of the inferior thalamic peduncle some fibers from the amygdaloid complex course dorsally into the medial part of the dorsomedial thalamic nucleus at its caudal levels. They may arise widely from the amygdaloid complex. A few of them extend farther dorsally to reach the lateral habenular nucleus and the parataenial nucleus. They probably originate from the lateral principal nucleus.
5. The fibers forming the stria terminalis originate from the medial principal nucleus, the medial nucleus, the periamygdaloid cortex and the cortical nucleus, and are distributed in the bed nucleus of the stria terminalis
and the lateral preoptic nucleus (preoptic component), as well as the medial preoptic nucleus, the anterior hypothalamic nucleus and the ventromedial hypothalamic nucleus (supracommissural component). The cortical
nucleus, particularly its caudal part, and possibly the medial part of the periamygdaloid cortex are regarded as the main sources of the stria terminalis
fibers ending in the hypothalamic region. The intermediate principal and lateral principal nuclei do not appear to contribute fibers to the stria terminalis.
6. The ventromedial hypothalamic nucleus receives amygdalofugal fibers both from the medial principal nucleus by way of the medial forebrain
bundle, and from the cortical nucleus via the stria terminalis. 7. In addition to intrinsic internuclear fibers within the amygdaloid complex, some of the fibers from the complex are distributed to the ventralmost part of the putamen, the medial part of the claustrum, the
periamygdaloid cortex, the prepiriform area and the anterior amygdaloid area, but do not reach the hippocampus.</p
ΠΠΎΡΠ΅ΡΠ½ΠΎ-ΠΊΠ»Π΅ΡΠΎΡΠ½ΡΠΈΜ ΡΠ°ΠΊ Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ², Π½Π°Ρ ΠΎΠ΄ΡΡΠΈΡ ΡΡ Π½Π° Π΄ΠΈΠ°Π»ΠΈΠ·Π΅
ΠΠ°Π±ΠΎΠ»Π΅Π²Π°Π΅ΠΌΠΎΡΡΡ ΠΏΠΎΡΠ΅ΡΠ½ΠΎ-ΠΊΠ»Π΅ΡΠΎΡΠ½ΡΠΌ ΡΠ°ΠΊΠΎΠΌ (ΠΠΠ ) Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ², Π½Π°Ρ
ΠΎΠ΄ΡΡΠΈΡ
ΡΡ Π½Π° Π΄ΠΈΠ°Π»ΠΈΠ·Π΅, Π²ΡΡΠ΅, ΡΠ΅ΠΌ Π² ΠΎΠ±ΡΠ΅ΠΈΜ ΠΏΠΎΠΏΡΠ»ΡΡΠΈΠΈ. Π§Π΅ΠΌ Π΄ΠΎΠ»ΡΡΠ΅ Π±ΠΎΠ»ΡΠ½ΠΎΠΈΜ ΠΏΠΎΠ»ΡΡΠ°Π΅Ρ Π³Π΅ΠΌΠΎΠ΄ΠΈΠ°Π»ΠΈΠ·, ΡΠ΅ΠΌ Π²ΡΡΠ΅ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π΅ΠΌΠΎΡΡΡ ΠΠΠ . Π ΠΈΡΠΊ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΠΠ ΡΠ²ΡΠ·Π°Π½ Ρ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΠΏΠΎΠ»ΠΈΠΊΠΈΡΡΠΎΠ·Π° ΠΏΠΎΡΠ΅ΠΊ. ΠΠ΅ΠΊΠΎΡΠΎΡΡΠ΅ Π²ΠΈΠ΄Ρ ΠΠΠ Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ², Π½Π°Ρ
ΠΎΠ΄ΡΡΠΈΡ
ΡΡ Π½Π° Π³Π΅ΠΌΠΎΠ΄ΠΈΠ°Π»ΠΈΠ·Π΅, ΠΈΠ»ΠΈ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡΠΌΠΈ ΠΏΠΎΡΠ΅ΠΊ ΠΏΠΎΠ·Π΄Π½ΠΈΡ
ΡΡΠ°Π΄ΠΈΠΈΜ Π½Π΅ ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΡΡΡ Π³ΠΈΡΡΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΈΜ ΠΊΠ»Π°ΡΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ ΠΠΠ , ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Π½ΠΎΠΈΜ ΠΡΠ΅ΠΌΠΈΡΠ½ΠΎΠΈΜ ΠΡΠ³Π°Π½ΠΈΠ·Π°ΡΠΈΠ΅ΠΈΜ ΠΠ΄ΡΠ°Π²ΠΎΠΎΡ
ΡΠ°Π½Π΅Π½ΠΈΡ. Π’Π°ΠΊΠΈΠ΅ ΠΎΠΏΡΡ
ΠΎΠ»ΠΈ ΠΎΡΠ»ΠΈΡΠ°ΡΡΡΡ ΠΎΡ ΡΠΏΠΎΡΠ°Π΄ΠΈΡΠ΅ΡΠΊΠΈΡ
; ΠΈΡ
Π½Π°Π·ΡΠ²Π°ΡΡ ΠΠΠ , Π°ΡΡΠΎΡΠΈΠΈΡΠΎΠ²Π°Π½Π½ΡΠΌ Ρ ΠΏΡΠΈΠΎΠ±ΡΠ΅ΡΠ΅Π½Π½ΡΠΌ ΠΏΠΎΠ»ΠΈΠΊΠΈΡΡΠΎΠ·ΠΎΠΌ ΠΏΠΎΡΠ΅ΠΊ (ΠΠΠΠ), ΠΈΠ»ΠΈ ΡΠ²Π΅ΡΠ»ΠΎΠΊΠ»Π΅ΡΠΎΡΠ½ΡΠΌ-ΠΏΠ°ΠΏΠΈΠ»Π»ΡΡΠ½ΡΠΌ ΠΠΠ Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡΠΌΠΈ ΠΏΠΎΡΠ΅ΠΊ ΠΏΠΎΠ·Π΄Π½ΠΈΡ
ΡΡΠ°Π΄ΠΈΠΈΜ. Π Π°ΠΊ ΠΏΠΎΡΠΊΠΈ Π½Π° ΡΠΎΠ½Π΅ ΠΠΠΠ ΡΠ°Π·Π²ΠΈΠ²Π°Π΅ΡΡΡ Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ², ΠΊΠΎΡΠΎΡΡΠ΅ ΠΏΠΎΠ»ΡΡΠ°ΡΡ Π΄ΠΈΠ°Π»ΠΈΠ· Π΄Π»ΠΈΡΠ΅Π»ΡΠ½ΠΎ (Π±ΠΎΠ»Π΅Π΅ 10 Π»Π΅Ρ). Π ΡΠ²ΡΠ·ΠΈ Ρ Π²ΡΡΠΎΠΊΠΎΠΈΜ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π΅ΠΌΠΎΡΡΡΡ ΠΈ ΠΎΡΡΡΡΡΡΠ²ΠΈΠ΅ΠΌ ΡΠΈΠΌΠΏΡΠΎΠΌΠΎΠ², ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Π½Π°Ρ
ΠΎΠ΄ΡΡΠΈΡ
ΡΡ Π½Π° Π΄ΠΈΠ°Π»ΠΈΠ·Π΅ ΠΈΠ· Π³ΡΡΠΏΠΏΡ Π²ΡΡΠΎΠΊΠΎΠ³ΠΎ ΡΠΈΡΠΊΠ°, Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎ ΠΎΠ±ΡΠ»Π΅Π΄ΠΎΠ²Π°ΡΡ Π½Π° ΠΏΡΠ΅Π΄ΠΌΠ΅Ρ ΠΠΠ . Π’Π°ΠΊΠΎΠΈΜ ΡΠΊΡΠΈΠ½ΠΈΠ½Π³ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎ Π²Π°ΠΆΠ΅Π½ Π΄Π»Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Π½Π° Π΄ΠΈΠ°Π»ΠΈΠ·Π΅ ΠΏΡΠΎΠ΄ΠΎΠ»ΠΆΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΡΡ Π±ΠΎΠ»Π΅Π΅ 10 Π»Π΅Ρ, ΠΏΠ°ΡΠΈΠ΅Π½ΡΠ°ΠΌ Ρ ΡΡΠΆΠ΅Π»ΡΠΌ ΠΠΠΠ ΠΈ ΠΊΠ°Π½Π΄ΠΈΠ΄Π°ΡΠ°ΠΌ Π½Π° ΡΡΠ°Π½ΡΠΏΠ»Π°Π½ΡΠ°ΡΠΈΡ ΠΏΠΎΡΠΊΠΈ. ΠΠΏΡΡ
ΠΎΠ»Ρ Π² ΠΏΠΎΡΠΊΠ΅, ΠΏΡΠΈΠ»Π΅ΠΆΠ°ΡΠ°Ρ ΠΊ ΠΌΠ½ΠΎΠΆΠ΅ΡΡΠ²Π΅Π½Π½ΡΠΌ ΠΏΡΠΈΠΎΠ±ΡΠ΅ΡΠ΅Π½Π½ΡΠΌ ΠΊΠΈΡΡΠ°ΠΌ, ΠΊΠ°ΠΊ ΠΏΡΠ°Π²ΠΈΠ»ΠΎ, ΠΌΠ°Π»ΠΎ ΠΈΠ»ΠΈ ΡΠΎΠ²ΡΠ΅ΠΌ Π½Π΅ Π½Π°ΠΊΠ°ΠΏΠ»ΠΈΠ²Π°Π΅Ρ ΠΊΠΎΠ½ΡΡΠ°ΡΡΠ½ΠΎΠ΅ Π²Π΅ΡΠ΅ΡΡΠ²ΠΎ ΠΏΡΠΈ ΠΠ’, Π° ΡΠ°ΠΊΠΆΠ΅ Π½Π΅ Π²ΡΡΡΡΠΏΠ°Π΅Ρ Π·Π° ΠΊΠΎΠ½ΡΡΡ ΠΏΠΎΡΠΊΠΈ. Π’Π°ΠΊΠΈΠΌ ΠΎΠ±ΡΠ°Π·ΠΎΠΌ, Π΄ΠΎΠΎΠΏΠ΅ΡΠ°ΡΠΈΠΎΠ½Π½Π°Ρ ΠΎΡΠ΅Π½ΠΊΠ° ΠΠΠ Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Π½Π° Π΄Π»ΠΈΡΠ΅Π»ΡΠ½ΠΎΠΌ Π΄ΠΈΠ°Π»ΠΈΠ·Π΅ Π·Π°ΡΡΡΠ΄Π½ΠΈΡΠ΅Π»ΡΠ½Π°.
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