string euclidean system

string theory of the Euclidean measurements of the

STRING coordinative fields

By Henryk Szubinski

SOLAR WINDS WILL BASICALLY BREAK THE CONNECTABILITY OF LINES OF FORCE

IN WHICH ATTRACTION OF THE VECTOR SEPERATIONS WILL BE GRAVITY AMOUNTING TO A VALUE OF GRAVITY BY ATTRACTION meaning that the amount of seperated vectors breaking the magnetic and solar values = the level of such particle quantal INVERSIONS = to a specific amount required for attractions which is the actual gravity process in formation.

where velocity by supersymmetry will punh a hole in the spacetime

inward IMP = the basis of the string values in pythagorean vectors where the outward IMF represents the fast way to link the STRING values over the pythagorean value

> root 2 ( x/y ) squared

where rotation defines the level =1 singularity of the process x/y = 1/2

in relations to x/y =1

so that 1/0.5 = 2 x/y as the rotational value lim x = 2

so that the x value approaches the < 2 x

with a marginal minimal value that is not verged by universal rotation  in the specific case of velocity causing the rotational break between the values shown to be the velocity of responsive spacetime holes.

The type of quantal invertive values of translocated velcoity in singular units as = force fields in a altered rotatability by the brek of rotations into its diameter horizon.

introducing the STRING way to make x,y,z measurements on the basis of lim x = +/- 1 as the height value which will specify the approaching values to a unified system measurment = frequency similarities with the waveform inputs into the specific quadrance as the type of format inclusions of the vectors in x/ y spacetime so that the vector vergances = waveforms in their basic variance types such as

SOLAR wind = waveform 1

MAGNETIC lines of force = waveform 2

The universal sloan wall = waveform 3

so that the basic multiples in their highest and lowest formats = the basis lim x = the 3 wavelengths of the z x,y,z axial value coordinations

cassini Titan

the life trace

By Henryk Szubinski

solving cellular problems by the 1/2 rotative advantage on time in relations to night cycles by observations.

Artist concept of a lake on Titan

the hydrogen trace would be from the lakes surface refractive index caused by the amount of light entering the H2O volume and the amount of refractive value 2 x angle = the 3 rd value of the reflected filtered amount of polarisations such that

3x angle sum = c squared as the relations

to INV TAN Square laws of a c root angle value

to which the value divisive c root / 3

angle in the hydrogen atomic mass / 4 angles

of the similar value 3 x angle coupling to angle 4 x

so that the conservations of H4 = H 1/3

by the process of a 1/4 value positional localisatability of the type H2O in a hot state or a cold state refered to the positional relations of the alternate possibility of observing the day or nigh break values of a system BIO environment by SPY EYE type observations of a altered or non altered state of observations of a state H2O ( f) that could have causes behind it in a specific environement interactions

= 1 /4 + x

as the decimal inclusive values of the cause as being cellular as repeatability F

= F volume of similar callibrations ( Vol + x)  (4+x) = 1 cellular basis evidence

the crucial universe decisive force

the data relocator

By Henryk Szubinski

In general, in any flow, layers move at different velocities and the fluid’s viscosity arises from the shear stress between the layers that ultimately opposes any applied force.

Isaac Newton postulated that, for straight, parallel and uniform flow, the shear stress, τ, between layers is proportional to the velocitygradient, ∂u /∂y, in the direction perpendicular to the layers.

\tau=\mu \frac{\partial u}{\partial y}.

Here, the constant μ is known as the coefficient of viscosity, the viscosity, the dynamic viscosity, or the Newtonian viscosity.

This is a constitutive equation (like Hooke’s lawFick’s lawOhm’s law). This means: it is not a fundamental law of nature, but a reasonable first approximation that holds in some materials and fails in others. Many fluids, such as water and most gases, satisfy Newton’s criterion and are known as Newtonian fluidsNon-Newtonian fluids exhibit a more complicated relationship between shear stress and velocity gradient than simple linearity.

data processess on the value vector format cylinder as the basis of the process in definitions = to the values of the responsive type 1,2,3 environements of the vectorisations in highest displacability by universe multiples = to the value vector on the process surround basis of the failure to locate and define the values of the data

3S = multi format replications of the level type = the data on the process moovements of the data inputs into a format of difficluty to define the value vector motions by the process of defined sequence input values into the non zone = lim x = the data on the process of vector resistance = 4 R

as the values of the data on 3 S as deflated into the formats of their related non zone parameter comparative

x = the volume and the loss of data = F x

as the process in which the general environments of the forwarded values =ANDROMEDA galaxy as the parameter of the positional data

= the value by the force of multiple family of forces as the data on LINKING the process in whcih the values of their forced responses = to the vector indicated values of the NOW formats.

Laminar shear, the non-constant gradient, is a result of the geometry the fluid is flowing through (e.g. a pipe).

basic densifications of a top level cylinder plugg and the responsive fluidity in a anti matter lift upwards by dynamics of the process = the redensifications of the dynamics siimilarity pushed upwards into the zone unplugged as replaceing the missing matter density force by the motion of relative type galactic dipps into large formats of galactic angles in motion by the force of redefnsifications


processing the values of the process vectors 3 x values and their warped INVERTEd values of the spacetime height and Enthropy dropps into the loss of the data on the 4 R as missing the crucial 1 S towards a 1 R

so that the value miss cruciality towards

as 3 values

1) value MISS

2) crucial

3)TOWARDS

theese are then the 3 values of the universal force everywhere in the multiple states.

the slow velocity basis of the galactic aversive vectors caused by force that pushes a type 1 BOND away from instance in LINKAGE to similar cylinder BONDS in the universe as motiion of connectability of thoose vector cylinders as individual BONDS that are never connected as the conservations theory value of the force of the type elemental sustainability at its most large process relation to high alterations of BONDING at the edge of  1 bond + 1/2 a bond as the existance of a 1/2 element value FORCE or Fo

Relation to mean free path of diffusing particles

In relation to diffusion, the kinematic viscosity provides a better understanding of the behavior of mass transport of a dilute species. Viscosity is related to shear stress and the rate of shear in a fluid, which illustrates its dependence on the mean free path, λ, of the diffusing particles.

From fluid mechanicsshear stressτ, on a unit area moving parallel to itself, is found to be proportional to the rate of change of velocity with distance perpendicular to the unit area:

\tau = \mu \frac{du_x}{dy}.

for a unit area parallel to the x-z plane, moving along the x axis. We will derive this formula and show how μ is related to λ.

Interpreting shear stress as the time rate of change of momentump, per unit area A (rate of momentum flux) of an arbitrary control surface gives

\tau = \frac{\dot{p}}{A} = \frac{\dot{m} \langle u_x \rangle}{A}.

where \langle u_x \rangle is the average velocity along x of fluid molecules hitting the unit area, with respect to the unit area.

Further manipulation will show[15]

\dot{m} = \rho \bar{u} A
\langle u_x \rangle = \frac12\, \lambda\frac{du_x}{dy}, assuming that molecules hitting the unit area come from all distances between 0 and λ (equally distributed), and that their average velocities change linearly with distance (always true for small enough λ). From this follows:
\tau = \underbrace{\frac12\, \rho \bar{u} \lambda}_{\mu} \cdot \frac{du_x}{dy} \; \; \Rightarrow \; \; \nu = \frac{\mu}{\rho} = \tfrac12\, \bar{u} \lambda,

where

\dot{m} is the rate of fluid mass hitting the surface,
ρ is the density of the fluid,
ū is the average molecular speed (\bar{u} = \sqrt{\langle u^2 \rangle}),
File:Laminar shear flow.svg

solar sail vechicle

solar sail vechicle

By Henryk Szubinski

the umerella

Geometry

The intersection of the cloister vault with a horizontal plane is a square. This fact may be used to find the volume of the vault using the slicing method ofIntegral calculus. Finding the volume in this way is often an exercise for first-year calculus students.

Assuming the intersecting barrel-vaults are semi-cylindrical, the volume of the vault is \frac{1}{3}s^3 where s is the length of the side of the square base.

basic 4 radial value will be shown with 10 radials and the open base level or its basic closure for quantal usage.

File:Klostervalv.png

Is a basic space copter usable on short range voyages to the moon or to the planets in the solar systemed by its usage of the availability of solar wind as the value decimal of the whole surface being liftable by the amount specific to the value of designated processess shown in the illustration:

the basis formulation describes 1 such radial value so that a system with 10 radials will define the full value of their active usage

without alteration then :

10 ((x/y angle (2pi r squ) / 4  = m / h+ F))

x/y angle =2 pi r squared / 4

=m / h+ F

force of rotatability

so that the mean value sequences  are

x + 1 / y -1

2pi x  squ  + 4 / 2 pi  y squ – 4

m + 1 h/ m-1h

F + 1 / F-1

the basics are used again as differencials

x + 1 / y -1 dy<——-

2pi x  squ  + 4 / 2 pi  y squ – 4 = 1 – 4 dy—–>

m + 1 h/ m-1h = 3 h Dh<—–

F + 1 / F-1 = 2h -1 D1———>

a)

x-1 ( 3)/ 2 pi x squ =y-1

b)

2 pi y squ (m + h) /3h =x

c)

F+1 (3h) /m+1 =y

basic common value derived formulations are then:

a)

(2 pi  squ+  F)=(x-1) +m

2/x pi squ =(m-F)

the basic force of rotatability

by using the 10 radial values in repeatability, the formulation is then

10 (2/x pi squ ) =10 (m-F)

20 / x ( pi squ) = 10m-10 F

the pi squared value is taken as a universal force so that the formulation is then:

20 / x F = 10 m- 10 F

20 = 10m -10 F (10 F)

20 = 10 m – 100 F squ

basically the low levels of usage can incoorporate the umbrella surface as a type flexation of the basis to lift by flapping:

File:Parts of an Umbrella.svg

An umbrella or parasol (also called a brollyrainshadesunshadegamp or bumbershoot) is a canopy designed to protect against rain or sunlight. The term parasol usually refers to an item designed to protect from the sunumbrella refers to a device more suited to protect from rain. Often the difference is the material; some parasols are not waterproof. Parasols are often meant to be fixed to one point and often used with patio tables or otheroutdoor furniture. Umbrellas are almost exclusively hand-held portable devices; however, parasols can also be hand-held. Umbrellas can be held as fashion accessories.

The word umbrella comes from the Latin word umbra, meaning shade or shadow (the Latin word, in turn, derives from the Ancient Greek ómbros [όμβρος].)Brolly is a slang word for umbrella, used often in BritainNew ZealandAustralia, and South AfricaBumbershoot is a fanciful Americanism from the late 19th century.[2]

basics of slow flapping = the larger lift sustainements by the process of force acting on the opposed vector directions.

basic radial mould on the tail section curvature formatts

the overhang will define the pressure wave formats of expandability on the  pressure pockets generated a the forwards vector momentum causing motion forwards or backwards.

squares without spacetime

squares without spacetime relativity

By Henryk Szubinski

A RED SQUARE IN SPACE NEEDS A SPACETIME AROUND IT : BASIC DARK MATTER PROBLEM

File:Vector norms.svg

Illustrations of unit circles in different p-norms (every vector from the origin to the unit circle has a length of one, the length being calculated with length-formula of the corresponding p).

Unit circle (superellipse) in p = 3/2 norm

Astroid, unit circle in p = 2/3 metric

In mathematics, the Lp spaces are function spaces defined using natural generalizations of p-norms for finite-dimensional vector spaces. They are sometimes called Lebesgue spaces, named afterHenri Lebesgue (Dunford & Schwartz 1958, III.3), although according to Bourbaki (1987) they were first introduced by Riesz (1910). They form an important class of examples of Banach spaces infunctional analysis, and of topological vector spaces. Lebesgue spaces have applications in physics, statistics, finance, engineering, and other disciplines.

A) CONTROL = MULTIPLE UNIVERSES

B) OF FAMILY WISE= SPACETIME LEVELS IN EXCHANGE OF FORCE HEIGHT

C)ERROR RATE= THE LOSS OF DATA ON THE PROCESS WIN


BASICS OF CONTROL OF FAMILY WISE ERROR RATES = TO THE GALACTIC VALUES OF FAMILY OF FORCES THAT ARE BEASED ON THE LOCATABILITY OF RED SQUARES AS PART OF THE LARGER UNIVERSE SLOAN GREAT WALL OF GALAXIES IN THE SEPERATIONS OF SQUARE SPACETIME REPLACEMENTS BY AREAS IN HIGHER VELOCITY

In statistics, the multiple comparisons, or multiple testing, problem occurs when one considers a set, or family, of statistical inferences simultaneously.[1] Errors in inference, including confidence intervals that fail to include their corresponding population parameters, or hypothesis tests that incorrectly reject the null hypothesis, are more likely to occur when one considers the family as a whole. Several statistical techniques have been developed to prevent this from happening, allowing significance levels for single and multiple comparisons to be directly compared. These techniques generally require a stronger level of evidence to be observed in order for an individual comparison to be deemed “significant”, so as to compensate for the number of inferences being made.

LOOKING INTO MULTIPLE APPLICATIONS OF SPACETIME AS WELL AS EVENT HORIZONS WITH SPECIFIC GRAVITY = BIT CONSTRUCT AS WELL AS FORCE BIT UNITS:

APPLICATIONS OF TYPE HIGGS BOSONS IN THEIR CONSTRUCT APPLICATIONS AND MANY MORE APPLICATIONS OF TYPE ATOMIC MODELS:FEYMAN DIAGRAMMS AND THE MULTIPLE LEVEL CONSTRUCTS:

ASTRONOMICAL RED SQUARES


BASICALLY MULTIPLE COMPARISONS FAIL AT THE RELATIVITY LEVEL WHERE THERE IS NO COMPUTABILITY BEYOND THE VALUES OF INFINITE GRAVITY AND THE SPEED OF LIGHT AS THE PARAMETER PROOF OF A ALRGER FORCE THAN THE RELATED PARAMETERS OF LIGHT SPEED RESTRICTIONS OF HAWKINS AND EINSTEIN SO THAT THE COMPENSATIONS FOR THE NUMBER OF INFERENCES BEING MADE = DARK MATTER IN MULTIPLE COMPARISONS ON 3 LEVELS WHERE MULTIPLE TESTING WOULD BE MUTUAL TO THE RELATIVE COMPARISONS

OF

knowing 2 is enough to know 3


1) EINSTEIN RELATIVITY =one side of the isocelees  triangle 60 degrees in multiple testing

2) HAWKINS MULTIPLE SPACETIME GRAVITY= the alternate side of the isocelees  triangle = 60 degrees in comparative tests

3)MULTIPLE COMPARISONS= the 3 rd side of the isocelees triangle = 60 degrees


multi universal alterability by the force of everything that pushes the relative levels

h upp h down + /- the volume = the Inertiality (S) force

where h upp / h down (3) = force (S) 4

type radial pulse on the formats of the angle altered from angle 1 to angle 2

1/2 angle Force S 4 =( h + 1 / h-1) 3

S2 angle F =6

so that the relative levels of the force pushing the levels by alterability of a x value = 6 relative push level alterability

=6 vol quantal

so that :

S2/6  (angle F )——->

= q Vol diff 6 D6<——-

so that

angle F ( q Vol) /S2 (1/6)

=6 (S2/6) /q Vol

taking the common divisive:

F q = 4S squ

as the multi universe value that pushes relative levels of force = variance in alteration:

the quant value is the relative value of the levels of Areas in super stabilised force of a similar basis vector square = vector 4 value square

or basic square comparisons = quant relativity without the spacetime: the differrence of squares

1) square = 4

2) square = S 4

3) square = S/4 (4)

root mean square as the formwards and reversed square relations to a defined difference between them as the forces that are active in the stability value of a square that does not need a theory of relativity as the continuiim of spacetime:

ALTERATIONS OF THE FOLLOWING

INTO THE FORMATS OF LARGER VALUE BITS SIMILAR TO THE SPACETIME EENVEELOPED FULL UNIT FORM

The RMS value of a set of values (or a continuous-time waveform) is the square root of the arithmetic mean (average) of the squares of the original values (or the square of the function that defines the continuous waveform).

In the case of a set of n values \{x_1,x_2,\dots,x_n\}, the RMS value is given by:

 x_{\mathrm{rms}} =  \sqrt {{{x_1}^2 + {x_2}^2 + \cdots + {x_n}^2} \over n}.

The corresponding formula for a continuous function (or waveform) f(t) defined over the interval T_1 \le t \le T_2 is

 f_{\mathrm{rms}} = \sqrt {{1 \over {T_2-T_1}} {\int_{T_1}^{T_2} {[f(t)]}^2\, dt}},

and the RMS for a function over all time is

 f_\mathrm{rms} = \lim_{T\rightarrow \infty} \sqrt {{1 \over {2T}} {\int_{-T}^{T} {[f(t)]}^2\, dt}}.

The RMS over all time of a periodic function is equal to the RMS of one period of the function. The RMS value of a continuous function or signal can be approximated by taking the RMS of a series of equally spaced samples. Additionally, the RMS value of various waveforms can also be determined without calculus, as shown by Cartwright.[1]

In the case of the RMS statistic of a random process, the expected value is used instead of the mean.

F q = 4S squ

Formalism

For hypothesis testing, the problem of multiple comparisons (also known as the multiple testing problem) results from the increase in type I error that occurs when statistical tests are used repeatedly. If n independent comparisons are performed, the experiment-wide significance level α, also termed FWER for familywise error rate, is given by

 \alpha = 1-\left( 1-\alpha_\mathrm{per\ comparison} \right)^\mbox{number of comparisons}.

Unless the tests are perfectly dependent, α increases as the number of comparisons increases. If we do not assume that the comparisons are independent, then we can still say:

 \alpha \le \alpha_\mathrm{per\ comparison} \times \mbox{number of comparisons},

which follows from Boole’s inequality.

Example:  0.2649=1-\left( 1-.05 \right)^6  \le .05 \times 6=0.3

F q = 4S squ