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Entropy, Volume 14, Issue 10 (October 2012) – 11 articles , Pages 1813-2035

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Article
Accelerating Universe and the Scalar-Tensor Theory
by Yasunori Fujii
Entropy 2012, 14(10), 1997-2035; https://doi.org/10.3390/e14101997 - 19 Oct 2012
Cited by 3 | Viewed by 7407
Abstract
To understand the accelerating universe discovered observationally in 1998, we develop the scalar-tensor theory of gravitation originally due to Jordan, extended only minimally. The unique role of the conformal transformation and frames is discussed particularly from a physical point of view. We show [...] Read more.
To understand the accelerating universe discovered observationally in 1998, we develop the scalar-tensor theory of gravitation originally due to Jordan, extended only minimally. The unique role of the conformal transformation and frames is discussed particularly from a physical point of view. We show the theory to provide us with a simple and natural way of understanding the core of the measurements, ?obs ? t0?2 for the observed values of the cosmological constant and today’s age of the universe both expressed in the Planckian units. According to this scenario of a decaying cosmological constant, ?obs is this small only because we are old, not because we fine-tune the parameters. It also follows that the scalar field is simply the pseudo Nambu–Goldstone boson of broken global scale invariance, based on the way astronomers and astrophysicists measure the expansion of the universe in reference to the microscopic length units. A rather phenomenological trapping mechanism is assumed for the scalar field around the epoch of mini-inflation as observed, still maintaining the unmistakable behavior of the scenario stated above. Experimental searches for the scalar field, as light as ? 10?9 eV, as part of the dark energy, are also discussed. Full article
(This article belongs to the Special Issue Modified Gravity: From Black Holes Entropy to Current Cosmology)
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Figure 1

Figure 1
<p><math display="inline"> <msup> <mi>ζ</mi> <mn>2</mn> </msup> </math> given by (<a href="#FD13-entropy-14-01997" class="html-disp-formula">13</a>) restricted to be positive is plotted against <math display="inline"> <mrow> <mi>ξ</mi> <mo>&gt;</mo> <mn>0</mn> </mrow> </math>, taken from Figure 1 of [<a href="#B25-entropy-14-01997" class="html-bibr">25</a>]. There are two branches for <math display="inline"> <mrow> <mi>ϵ</mi> <mo>=</mo> <mo>±</mo> <mn>1</mn> </mrow> </math> bounded by the two (dotted) straight lines <math display="inline"> <mrow> <mi>ξ</mi> <mo>=</mo> <mn>1</mn> <mo>/</mo> <mn>6</mn> </mrow> </math> and <math display="inline"> <mrow> <msup> <mi>ζ</mi> <mn>2</mn> </msup> <mo>=</mo> <mn>1</mn> <mo>/</mo> <mn>6</mn> </mrow> </math>. The results from the solar-system experiments correspond to the points, like the one marked by +, converging toward the origin <math display="inline"> <mrow> <mi>ξ</mi> <mo>=</mo> <msup> <mi>ζ</mi> <mn>2</mn> </msup> <mo>=</mo> <mn>0</mn> </mrow> </math> with <math display="inline"> <mrow> <mi>ϵ</mi> <mo>=</mo> <mo>+</mo> <mn>1</mn> </mrow> </math>. The symbol ) also marked with <span class="html-italic">r</span> at the point <math display="inline"> <mrow> <mo>(</mo> <mi>ξ</mi> <mo>=</mo> <mn>0</mn> <mo>.</mo> <mn>5</mn> <mo>,</mo> <msup> <mi>ζ</mi> <mn>2</mn> </msup> <mo>=</mo> <mn>0</mn> <mo>.</mo> <mn>25</mn> <mo>)</mo> </mrow> </math> naturally with <math display="inline"> <mrow> <mi>ϵ</mi> <mo>=</mo> <mo>-</mo> <mn>1</mn> </mrow> </math> provides with the boundary of selecting the portion of the curve to the upper-left, arising from the positive radiation-dominated matter energy both in J frame, (<a href="#FD26-entropy-14-01997" class="html-disp-formula">26</a>) and (<a href="#FD27-entropy-14-01997" class="html-disp-formula">27</a>), and E frame, (<a href="#FD38-entropy-14-01997" class="html-disp-formula">38</a>). The same <math display="inline"> <mrow> <mo>(</mo> <mi>ξ</mi> <mo>=</mo> <mn>1</mn> <mo>.</mo> <mn>5</mn> <mo>,</mo> <msup> <mi>ζ</mi> <mn>2</mn> </msup> <mo>=</mo> <mn>3</mn> <mo>/</mo> <mn>16</mn> <mo>=</mo> <mn>0</mn> <mo>.</mo> <mn>1875</mn> <mo>)</mo> </mrow> </math> marked by <span class="html-italic">d</span> is for the dust-dominated universe. The symbol × shows a prediction of string theory in higher-dimensional spacetime, <math display="inline"> <mrow> <mi>ϵ</mi> <mo>=</mo> <mo>-</mo> <mn>1</mn> <mo>,</mo> <mi>ξ</mi> <mo>=</mo> <mn>1</mn> <mo>/</mo> <mn>4</mn> </mrow> </math> thus <math display="inline"> <mrow> <mi>ω</mi> <mo>=</mo> <mo>-</mo> <mn>1</mn> </mrow> </math>, and <math display="inline"> <mrow> <msup> <mi>ζ</mi> <mn>2</mn> </msup> <mo>=</mo> <mn>1</mn> <mo>/</mo> <mn>2</mn> </mrow> </math>, based on (4.1) of [<a href="#B25-entropy-14-01997" class="html-bibr">25</a>], taken originally from (3.4.58) of [<a href="#B26-entropy-14-01997" class="html-bibr">26</a>].</p>
Full article ">Figure 2
<p>An example of a numerical integration, corresponding to the initial values <math display="inline"> <mrow> <msub> <mi>ϕ</mi> <mn>1</mn> </msub> <mspace width="3.33333pt"/> <mo>=</mo> <mspace width="3.33333pt"/> <mn>0</mn> <mo>.</mo> <mn>25</mn> <mo>,</mo> <mover accent="true"> <msub> <mi>ϕ</mi> <mn>1</mn> </msub> <mo>˙</mo> </mover> <mo>=</mo> <mn>0</mn> <mo>,</mo> <msub> <mi>ρ</mi> <mn>1</mn> </msub> <mo>=</mo> <mn>0</mn> <mo>.</mo> <mn>1</mn> </mrow> </math> at the initial time <math display="inline"> <mrow> <mo form="prefix">ln</mo> <msub> <mi>t</mi> <mn>1</mn> </msub> <mo>=</mo> <mn>1</mn> </mrow> </math>, taken from Figure 4.1 of [<a href="#B11-entropy-14-01997" class="html-bibr">11</a>], originally from [<a href="#B27-entropy-14-01997" class="html-bibr">27</a>].</p>
Full article ">Figure 3
<p>An example of the phase-diagrams in E frame taken from Figure 3 of [<a href="#B28-entropy-14-01997" class="html-bibr">28</a>]. The evolution variable is chosen to be <math display="inline"> <mrow> <msub> <mi>τ</mi> <mo>*</mo> </msub> <mo>=</mo> <msqrt> <mrow> <mi>V</mi> <mo>(</mo> <mi>σ</mi> <mo>)</mo> </mrow> </msqrt> <mi>d</mi> <msub> <mi>t</mi> <mo>*</mo> </msub> </mrow> </math>, while the coordinates are defined by <math display="inline"> <mrow> <mi>x</mi> <mrow> <mo>(</mo> <msub> <mi>τ</mi> <mo>*</mo> </msub> <mo>)</mo> </mrow> <mo>=</mo> <mi>d</mi> <mi>σ</mi> <mo>/</mo> <mi>d</mi> <msub> <mi>τ</mi> <mo>*</mo> </msub> </mrow> </math> and <math display="inline"> <mrow> <mi>y</mi> <mrow> <mo>(</mo> <msub> <mi>τ</mi> <mo>*</mo> </msub> <mo>)</mo> </mrow> <mo>=</mo> <msup> <mi>ζ</mi> <mrow> <mo>-</mo> <mn>1</mn> </mrow> </msup> <mrow> <mo>(</mo> <mi>d</mi> <msub> <mi>a</mi> <mo>*</mo> </msub> <mo>/</mo> <mi>d</mi> <msub> <mi>τ</mi> <mo>*</mo> </msub> <mo>)</mo> </mrow> <mo>/</mo> <msub> <mi>a</mi> <mo>*</mo> </msub> </mrow> </math>, which satisfy the self-autonomous equations (3.15) and (3.16) of [<a href="#B28-entropy-14-01997" class="html-bibr">28</a>]. The solid and dashed curves in (<b>a</b>) are for the null curves of <math display="inline"> <mrow> <mi>d</mi> <mi>x</mi> <mo>/</mo> <mi>d</mi> <msub> <mi>τ</mi> <mo>*</mo> </msub> <mo>=</mo> <mn>0</mn> </mrow> </math> and <math display="inline"> <mrow> <mi>d</mi> <mi>y</mi> <mo>/</mo> <mi>d</mi> <msub> <mi>τ</mi> <mo>*</mo> </msub> <mo>=</mo> <mn>0</mn> </mrow> </math>, respectively, bounding the area of <math display="inline"> <mrow> <mi>d</mi> <mi>x</mi> <mo>/</mo> <mi>d</mi> <msub> <mi>τ</mi> <mo>*</mo> </msub> <mo>&gt;</mo> <mn>0</mn> </mrow> </math> marked by <math display="inline"> <msub> <mo>+</mo> <mi>x</mi> </msub> </math>, for example. The fixed points are <math display="inline"> <mrow> <mi>x</mi> <mo>=</mo> <mi>y</mi> <mo>=</mo> <mn>1</mn> </mrow> </math> and <math display="inline"> <mrow> <mi>x</mi> <mo>=</mo> <mi>y</mi> <mo>=</mo> <mo>-</mo> <mn>1</mn> </mrow> </math> for an attractor and repeller, respectively, as shown in the close-up views in (<b>b</b>) and (<b>c</b>). The trajectory shown by a dotted curve enters the frame of (<b>b</b>), with <math display="inline"> <mrow> <mi>ξ</mi> <mo>=</mo> <mn>1</mn> <mo>/</mo> <mn>4</mn> </mrow> </math> thus <math display="inline"> <mrow> <msup> <mi>ζ</mi> <mn>2</mn> </msup> <mo>=</mo> <mn>1</mn> <mo>/</mo> <mn>2</mn> </mrow> </math>, near the lower-left corner, going out across the right edge, re-entering again at the top, spiraling finally into the attractor at <math display="inline"> <mrow> <mi>x</mi> <mo>=</mo> <mn>1</mn> <mo>=</mo> <mn>1</mn> </mrow> </math>. No such trajectory is shown naturally in (<b>c</b>).</p>
Full article ">Figure 4
<p>The simple Yukawa interaction with the coefficient <math display="inline"> <mrow> <mn>2</mn> <mo>-</mo> <mi>d</mi> </mrow> </math> as in (<b>a</b>), but now with a non-gravitational radiative correction included, like in (<b>b</b>), where the dashed curve is for a non-gravitational field with the associated coupling constant <math display="inline"> <msub> <mi>g</mi> <mi>c</mi> </msub> </math>. Heavy dotted lines drawn vertically are for <span class="html-italic">σ</span>.</p>
Full article ">Figure 5
<p>A loop diagram generating a mass of the field <span class="html-italic">σ</span> (heavy dotted lines), while solid lines inside a loop represent quarks or leptons, with the coupling strength proportional to their own masses divided by <math display="inline"> <msub> <mi>M</mi> <mi mathvariant="normal">P</mi> </msub> </math>. We also assume the integral to be cut off roughly around <math display="inline"> <msub> <mi>M</mi> <mi>ssb</mi> </msub> </math>, the mass scale of supersymmetry breaking.</p>
Full article ">Figure 6
<p>(<b>a</b>) 1-loop photon self-energy part with <span class="html-italic">σ</span> (heavy dotted line) attached to two of the vertices. (<b>b</b>) The same but one of the photon lines (thin dotted lines) attached to another charged field (vertical solid line), with <span class="html-italic">σ</span> attached to three of the vertices.</p>
Full article ">Figure 7
<p>An example of hesitation behavior, taken from Figure 5.6 of [<a href="#B11-entropy-14-01997" class="html-bibr">11</a>]. The solid curve in the upper-half of the plot shows <math display="inline"> <mrow> <mn>2</mn> <mo form="prefix">ln</mo> <msub> <mi>a</mi> <mo>*</mo> </msub> </mrow> </math>, while the dashed curve represents <math display="inline"> <mrow> <mn>2</mn> <mi>σ</mi> </mrow> </math>. In the lower-half of the plot, the dashed and the solid curves are for <math display="inline"> <mrow> <msub> <mo form="prefix">log</mo> <mn>10</mn> </msub> <msub> <mi>ρ</mi> <mo>*</mo> </msub> </mrow> </math> and <math display="inline"> <mrow> <msub> <mo form="prefix">log</mo> <mn>10</mn> </msub> <msub> <mi>ρ</mi> <mi>σ</mi> </msub> </mrow> </math>, respectively. We chose <math display="inline"> <mrow> <mi>ζ</mi> <mo>=</mo> <mn>1</mn> <mo>.</mo> <mn>5823</mn> </mrow> </math>, the same as will be used in the next subsection. The initial values at <math display="inline"> <mrow> <mo form="prefix">log</mo> <msub> <mi>t</mi> <mrow> <mo>*</mo> <mn>1</mn> </mrow> </msub> <mo>=</mo> <mn>10</mn> </mrow> </math> is given by <math display="inline"> <mrow> <msub> <mi>σ</mi> <mn>1</mn> </msub> <mo>=</mo> <mn>6</mn> <mo>.</mo> <mn>75442</mn> <mo>,</mo> <msub> <mover accent="true"> <mi>σ</mi> <mo>˙</mo> </mover> <mn>1</mn> </msub> <mo>=</mo> <mn>0</mn> </mrow> </math>, while the matter density assumed to be radiation-dominated is <math display="inline"> <mrow> <mn>3</mn> <mo>.</mo> <mn>7352</mn> <mo>×</mo> <msup> <mn>10</mn> <mrow> <mo>-</mo> <mn>23</mn> </mrow> </msup> </mrow> </math>.</p>
Full article ">Figure 8
<p>The potential <math display="inline"> <mrow> <mi>V</mi> <mo>(</mo> <mi>σ</mi> <mo>,</mo> <mi>χ</mi> <mo>)</mo> </mrow> </math> given by (<a href="#FD98-entropy-14-01997" class="html-disp-formula">98</a>), taken from Figure 5.7 of [<a href="#B11-entropy-14-01997" class="html-bibr">11</a>]. Along the central valley with <math display="inline"> <mrow> <mi>χ</mi> <mo>=</mo> <mn>0</mn> </mrow> </math>, the potential reduces back to the simpler behavior <math display="inline"> <mrow> <mo>Λ</mo> <msup> <mi>e</mi> <mrow> <mo>-</mo> <mn>4</mn> <mi>ζ</mi> <mi>σ</mi> </mrow> </msup> </mrow> </math>, but with <math display="inline"> <mrow> <mi>χ</mi> <mo>≠</mo> <mn>0</mn> </mrow> </math>, it shows an oscillation in the <span class="html-italic">σ</span> direction. The configuration of <span class="html-italic">σ</span> and <span class="html-italic">χ</span> is represented by a point, which is trapped in one of the valleys in the <span class="html-italic">χ</span> direction stays there, hence contributing a lasting <math display="inline"> <msub> <mi>ρ</mi> <mrow> <mi>σ</mi> <mi>χ</mi> </mrow> </msub> </math> that acts like a cosmological “constant”. As the time elapses, however, the force in the <span class="html-italic">χ</span> direction towards the central valley becomes strong, because of the increase of <math display="inline"> <msubsup> <mi>t</mi> <mo>*</mo> <mn>2</mn> </msubsup> </math> in the last term on LHS of (<a href="#FD101-entropy-14-01997" class="html-disp-formula">101</a>), eventually releasing the point in the positive <span class="html-italic">σ</span> direction, the end of the mini-inflation. For more details, see also Figure 5.14 of [<a href="#B11-entropy-14-01997" class="html-bibr">11</a>].</p>
Full article ">Figure 9
<p>An example of the solution, taken from Figure 5.8 of [<a href="#B11-entropy-14-01997" class="html-bibr">11</a>]. In accordance with the argument following (<a href="#FD102-entropy-14-01997" class="html-disp-formula">102</a>), we chose <math display="inline"> <mrow> <msub> <mi>ζ</mi> <mi>dm</mi> </msub> <mo>=</mo> <mn>0</mn> </mrow> </math>, without much affecting the result around today. Upper diagram: <math display="inline"> <mrow> <mi>b</mi> <mo>=</mo> <mo form="prefix">ln</mo> <msub> <mi>a</mi> <mo>*</mo> </msub> </mrow> </math> (dotted), <span class="html-italic">σ</span> (solid) and <math display="inline"> <mrow> <mn>2</mn> <mi>χ</mi> </mrow> </math> (dashed) are plotted against <math display="inline"> <mrow> <msub> <mi>τ</mi> <mn>10</mn> </msub> <mo>=</mo> <mo form="prefix">log</mo> <msub> <mi>t</mi> <mo>*</mo> </msub> </mrow> </math>. The present epoch corresponds to <math display="inline"> <mrow> <msub> <mi>τ</mi> <mn>10</mn> </msub> <mo>=</mo> <mn>60</mn> <mo>.</mo> <mn>1</mn> <mo>-</mo> <mn>60</mn> <mo>.</mo> <mn>2</mn> </mrow> </math>, while the primordial nucleosynthesis must have taken place at <math display="inline"> <mrow> <msub> <mi>τ</mi> <mn>10</mn> </msub> <mo>∼</mo> <mn>45</mn> </mrow> </math>. The parameters are <math display="inline"> <mrow> <mo>Λ</mo> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mi>ζ</mi> <mo>=</mo> <mn>1</mn> <mo>.</mo> <mn>5823</mn> <mo>,</mo> <mi>m</mi> <mo>=</mo> <mn>4</mn> <mo>.</mo> <mn>75</mn> <mo>,</mo> <mi>γ</mi> <mspace width="3.33333pt"/> <mo>=</mo> <mspace width="3.33333pt"/> <mn>0</mn> <mo>.</mo> <mn>8</mn> <mo>,</mo> <mi>κ</mi> <mo>=</mo> <mn>10</mn> </mrow> </math>. The initial values at <math display="inline"> <mrow> <msub> <mi>τ</mi> <mn>10</mn> </msub> <mo>=</mo> <msup> <mn>10</mn> <mn>10</mn> </msup> </mrow> </math> are <math display="inline"> <mrow> <msub> <mi>σ</mi> <mn>1</mn> </msub> <mo>=</mo> <mn>6</mn> <mo>.</mo> <mn>7544</mn> <mo>,</mo> <msubsup> <mi>σ</mi> <mn>1</mn> <mo>′</mo> </msubsup> <mo>=</mo> <mn>0</mn> </mrow> </math> (a prime implies differentiation with respect to <math display="inline"> <mrow> <mi>τ</mi> <mo>=</mo> <mo form="prefix">ln</mo> <msub> <mi>t</mi> <mo>*</mo> </msub> </mrow> </math>), <math display="inline"> <mrow> <msub> <mi>χ</mi> <mn>1</mn> </msub> <mo>=</mo> <mn>0</mn> <mo>.</mo> <mn>21</mn> <mo>,</mo> <msubsup> <mi>χ</mi> <mn>1</mn> <mo>′</mo> </msubsup> <mo>=</mo> <mo>-</mo> <mn>0</mn> <mo>.</mo> <mn>005</mn> <mo>,</mo> <msub> <mi>ρ</mi> <mrow> <mn>1</mn> <mi>rad</mi> </mrow> </msub> <mo>=</mo> <mn>3</mn> <mo>.</mo> <mn>7352</mn> <mo>×</mo> <msup> <mn>10</mn> <mrow> <mo>-</mo> <mn>23</mn> </mrow> </msup> <mo>,</mo> <msub> <mi>ρ</mi> <mrow> <mn>1</mn> <mi>dust</mi> </mrow> </msub> <mo>=</mo> <mn>4</mn> <mo>.</mo> <mn>0</mn> <mo>×</mo> <msup> <mn>10</mn> <mrow> <mo>-</mo> <mn>45</mn> </mrow> </msup> </mrow> </math>. The dashed-dotted straight line represents the asymptote of <span class="html-italic">σ</span> given by <math display="inline"> <mrow> <mi>τ</mi> <mo>/</mo> <mo>(</mo> <mn>2</mn> <mi>ζ</mi> <mo>)</mo> </mrow> </math>. Notice long plateaus of <span class="html-italic">σ</span> and <span class="html-italic">χ</span>, and their rapid changes during relatively “short” periods. Middle diagram: <math display="inline"> <mrow> <msub> <mi>p</mi> <mo>*</mo> </msub> <mo>=</mo> <msup> <mi>b</mi> <mo>′</mo> </msup> <mo>=</mo> <msub> <mi>t</mi> <mo>*</mo> </msub> <msub> <mi>H</mi> <mo>*</mo> </msub> </mrow> </math> for an effective exponent in the local power-law expansion <math display="inline"> <mrow> <msub> <mi>a</mi> <mo>*</mo> </msub> <mo>∼</mo> <msubsup> <mi>t</mi> <mo>*</mo> <msub> <mi>p</mi> <mo>*</mo> </msub> </msubsup> </mrow> </math> of the universe. Notable leveling-offs can be seen at 0.333, 0.5 and 0.667 corresponding to the epochs dominated by the kinetic terms of the scalar fields, the radiation matter and the dust matter, respectively. Lower diagram: <math display="inline"> <mrow> <mo form="prefix">log</mo> <msub> <mi>ρ</mi> <mrow> <mi>σ</mi> <mi>χ</mi> </mrow> </msub> </mrow> </math> (solid), the total energy density of the <span class="html-italic">σ</span>-<span class="html-italic">χ</span> system, and <math display="inline"> <mrow> <mo form="prefix">log</mo> <msub> <mi>ρ</mi> <mo>*</mo> </msub> </mrow> </math> (dashed), the matter energy density. Notice an “interlacing" pattern of <math display="inline"> <msub> <mi>ρ</mi> <mrow> <mi>σ</mi> <mi>χ</mi> </mrow> </msub> </math> and <math display="inline"> <msub> <mi>ρ</mi> <mo>*</mo> </msub> </math>, still obeying <math display="inline"> <mrow> <mo>∼</mo> <msubsup> <mi>t</mi> <mo>*</mo> <mrow> <mo>-</mo> <mn>2</mn> </mrow> </msubsup> </mrow> </math> as an overall behavior. Nearly flat plateaus of <math display="inline"> <msub> <mi>ρ</mi> <mrow> <mi>σ</mi> <mi>χ</mi> </mrow> </msub> </math> precede before it overtakes <math display="inline"> <msub> <mi>ρ</mi> <mo>*</mo> </msub> </math>, hence with <math display="inline"> <msub> <mo>Ω</mo> <mo>Λ</mo> </msub> </math> passing through 0.5.</p>
Full article ">Figure 10
<p>An example of the solution, taken from Figure 5.11 of [<a href="#B11-entropy-14-01997" class="html-bibr">11</a>], showing no mini-inflation around the present epoch, though another mini-inflation at <math display="inline"> <mrow> <msub> <mi>τ</mi> <mn>10</mn> </msub> <mo>∼</mo> <mn>27</mn> </mrow> </math> is still present. Symbols and initial values are the same as explained in <a href="#entropy-14-01997-f009" class="html-fig">Figure 9</a>, except for <math display="inline"> <mrow> <msub> <mi>σ</mi> <mn>1</mn> </msub> <mo>=</mo> <mn>6</mn> <mo>.</mo> <mn>761</mn> </mrow> </math>, which is different form 6.7544 in <a href="#entropy-14-01997-f009" class="html-fig">Figure 9</a> only slightly. This indicates how sensitively the result might depend on the choice of some of the parameters.</p>
Full article ">Figure 11
<p>Magnified view of <span class="html-italic">σ</span> (solid) and <math display="inline"> <mrow> <mn>0</mn> <mo>.</mo> <mn>02</mn> <mi>χ</mi> <mo>+</mo> <mn>44</mn> <mo>.</mo> <mn>25</mn> </mrow> </math> (dashed) in the upper panel of <a href="#entropy-14-01997-f009" class="html-fig">Figure 9</a>, taken from Figure 5.10 of [<a href="#B11-entropy-14-01997" class="html-bibr">11</a>]. Note that the vertical scale has been expanded by approximately 330 times as large compared with <a href="#entropy-14-01997-f009" class="html-fig">Figure 9</a>.</p>
Full article ">Figure 12
<p>Typical plots of the theoretical curves for <math display="inline"> <mrow> <mrow> <mo>(</mo> <mo>Δ</mo> <mi>α</mi> <mo>/</mo> <mi>α</mi> <mo>)</mo> </mrow> <mo>×</mo> <msup> <mn>10</mn> <mn>6</mn> </msup> </mrow> </math> as a function of redshift <span class="html-italic">z</span>, translated from the same of <math display="inline"> <msub> <mi>t</mi> <mo>*</mo> </msub> </math>, taken from Figure 1 of [<a href="#B40-entropy-14-01997" class="html-bibr">40</a>]. See also [<a href="#B41-entropy-14-01997" class="html-bibr">41</a>,<a href="#B42-entropy-14-01997" class="html-bibr">42</a>,<a href="#B43-entropy-14-01997" class="html-bibr">43</a>,<a href="#B44-entropy-14-01997" class="html-bibr">44</a>]. The Oklo phenomenon having occurred <math display="inline"> <mrow> <mo>≈</mo> <mn>1</mn> <mo>.</mo> <mn>95</mn> <mo>×</mo> <msup> <mn>10</mn> <mn>9</mn> </msup> <mi mathvariant="normal">y</mi> </mrow> </math> ago corresponds to <math display="inline"> <mrow> <mi>z</mi> <mo>∼</mo> <mn>0</mn> <mo>.</mo> <mn>15</mn> </mrow> </math>[<a href="#B45-entropy-14-01997" class="html-bibr">45</a>], while two QSO data [<a href="#B46-entropy-14-01997" class="html-bibr">46</a>,<a href="#B47-entropy-14-01997" class="html-bibr">47</a>] are shown; <math display="inline"> <mrow> <mo>-</mo> <mn>0</mn> <mo>.</mo> <mn>12</mn> <mo>±</mo> <mn>1</mn> <mo>.</mo> <mn>79</mn> </mrow> </math> and <math display="inline"> <mrow> <mn>5</mn> <mo>.</mo> <mn>66</mn> <mo>±</mo> <mn>2</mn> <mo>.</mo> <mn>67</mn> </mrow> </math> for <math display="inline"> <mrow> <mi>z</mi> <mo>=</mo> <mn>1</mn> <mo>.</mo> <mn>15</mn> </mrow> </math> and <math display="inline"> <mrow> <mn>1</mn> <mo>.</mo> <mn>84</mn> </mrow> </math>, also for the fractional look-back time 0.59 and 0.73, respectively. We commonly choose the initial values at <math display="inline"> <mrow> <msub> <mi>t</mi> <mn>1</mn> </msub> <mo>=</mo> <msup> <mn>10</mn> <mn>10</mn> </msup> </mrow> </math> in the reduced Planckian unit system, as in Figure 5.8 of [<a href="#B11-entropy-14-01997" class="html-bibr">11</a>]; <math display="inline"> <mrow> <msub> <mi>σ</mi> <mn>1</mn> </msub> <mo>=</mo> <mn>6</mn> <mo>.</mo> <mn>77341501</mn> <mo>,</mo> <msubsup> <mi>σ</mi> <mn>1</mn> <mo>′</mo> </msubsup> <mo>=</mo> <mn>0</mn> <mo>,</mo> <msub> <mi>χ</mi> <mn>1</mn> </msub> <mo>=</mo> <mn>0</mn> <mo>.</mo> <mn>21</mn> <mo>,</mo> <msubsup> <mi>χ</mi> <mn>1</mn> <mo>′</mo> </msubsup> <mo>=</mo> <mn>0</mn> </mrow> </math>, where the prime is for the derivative with respect to <math display="inline"> <mrow> <mi>τ</mi> <mo>=</mo> <mo form="prefix">ln</mo> <mi>t</mi> </mrow> </math>.</p>
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<p><span class="html-italic">σ</span>-dominated tree diagrams for the photon-photon scattering process, taken from Figure 3 of [<a href="#B18-entropy-14-01997" class="html-bibr">18</a>]. Solid lines are for the photons with the attached momenta <span class="html-italic">p</span>’s while the dashed lines for <span class="html-italic">σ</span>, in the <span class="html-italic">s</span>-, <span class="html-italic">t</span>-, and <span class="html-italic">u</span>-channels, respectively.</p>
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<p>A single Gaussian laser beam focused by an ideal lens where a scalar field exchange entails a frequency-upshifted photon in the forward direction, taken from Figure 5 of [<a href="#B18-entropy-14-01997" class="html-bibr">18</a>]. The frequency of the incident laser beam is assumed to be within a narrow band, while the incident angle varies largely including the value <math display="inline"> <mrow> <mo>∼</mo> <msup> <mn>10</mn> <mrow> <mo>-</mo> <mn>9</mn> </mrow> </msup> </mrow> </math>.</p>
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<p>Definitions of kinematical variables, taken from Figure 1 of [<a href="#B18-entropy-14-01997" class="html-bibr">18</a>], in the Quasi-Parallel-Frame.</p>
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<p>Fumitaka Sato’s image of Unification in 1983. His original caption in Japanese goes like <span class="html-italic">“Understanding microscopic world now provides us with a powerful tool to understand the hyper-macroscopic world”</span>. In his own drawing, a guy is looking into a microscope instead of a telescope, yelling “Look, I got the universe!”.</p>
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316 KiB  
Review
Conformal Relativity versus Brans–Dicke and Superstring Theories
by David B. Blaschke and Mariusz P. Dąbrowski
Entropy 2012, 14(10), 1978-1996; https://doi.org/10.3390/e14101978 - 18 Oct 2012
Cited by 8 | Viewed by 6577
Abstract
We show how conformal relativity is related to Brans–Dicke theory and to low-energy-effective superstring theory. Conformal relativity or the Hoyle–Narlikar theory is invariant with respect to conformal transformations of the metric. We show that the conformal relativity action is equivalent to the transformed [...] Read more.
We show how conformal relativity is related to Brans–Dicke theory and to low-energy-effective superstring theory. Conformal relativity or the Hoyle–Narlikar theory is invariant with respect to conformal transformations of the metric. We show that the conformal relativity action is equivalent to the transformed Brans–Dicke action for ? = -3/2 (which is the border between standard scalar field and ghost) in contrast to the reduced (graviton-dilaton) low-energy-effective superstring action which corresponds to the Brans–Dicke action with ? = -1. We show that like in ekpyrotic/cyclic models, the transition through the singularity in conformal cosmology in the string frame takes place in the weak coupling regime. We also find interesting self-duality and duality relations for the graviton-dilaton actions. Full article
(This article belongs to the Special Issue Modified Gravity: From Black Holes Entropy to Current Cosmology)
415 KiB  
Review
Impaired Sulfate Metabolism and Epigenetics: Is There a Link in Autism?
by Samantha Hartzell and Stephanie Seneff
Entropy 2012, 14(10), 1953-1977; https://doi.org/10.3390/e14101953 - 18 Oct 2012
Cited by 19 | Viewed by 24916
Abstract
Autism is a brain disorder involving social, memory, and learning deficits, that normally develops prenatally or early in childhood. Frustratingly, many research dollars have as yet failed to identify the cause of autism. While twin concordance studies indicate a strong genetic component, the [...] Read more.
Autism is a brain disorder involving social, memory, and learning deficits, that normally develops prenatally or early in childhood. Frustratingly, many research dollars have as yet failed to identify the cause of autism. While twin concordance studies indicate a strong genetic component, the alarming rise in the incidence of autism in the last three decades suggests that environmental factors play a key role as well. This dichotomy can be easily explained if we invoke a heritable epigenetic effect as the primary factor. Researchers are just beginning to realize the huge significance of epigenetic effects taking place during gestation in influencing the phenotypical expression. Here, we propose the novel hypothesis that sulfates deficiency in both the mother and the child, brought on mainly by excess exposure to environmental toxins and inadequate sunlight exposure to the skin, leads to widespread hypomethylation in the fetal brain with devastating consequences. We show that many seemingly disparate observations regarding serum markers, neuronal pathologies, and nutritional deficiencies associated with autism can be integrated to support our hypothesis. Full article
(This article belongs to the Special Issue Biosemiotic Entropy: Disorder, Disease, and Mortality)
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<p>The methylation and transsulfuration pathways, and observed impairments in association with autism. Diagram Sources: Alberti <span class="html-italic">et al.</span> [<a href="#B1-entropy-14-01953" class="html-bibr">1</a>]; Klaassen and Boles [<a href="#B2-entropy-14-01953" class="html-bibr">2</a>]; van der Kraan <span class="html-italic">et al.</span> [<a href="#B3-entropy-14-01953" class="html-bibr">3</a>]; Waring and Klovrza [<a href="#B4-entropy-14-01953" class="html-bibr">4</a>].</p>
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<p>Sulfoconjugation of important metabolites. Metabolites present in excess in autism are highlighted in orange.</p>
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514 KiB  
Article
Programming Unconventional Computers: Dynamics, Development, Self-Reference
by Susan Stepney
Entropy 2012, 14(10), 1939-1952; https://doi.org/10.3390/e14101939 - 17 Oct 2012
Cited by 22 | Viewed by 7888
Abstract
Classical computing has well-established formalisms for specifying, refining, composing, proving, and otherwise reasoning about computations. These formalisms have matured over the past 70 years or so. Unconventional Computing includes the use of novel kinds of substrates–from black holes and quantum effects, through to [...] Read more.
Classical computing has well-established formalisms for specifying, refining, composing, proving, and otherwise reasoning about computations. These formalisms have matured over the past 70 years or so. Unconventional Computing includes the use of novel kinds of substrates–from black holes and quantum effects, through to chemicals, biomolecules, even slime moulds–to perform computations that do not conform to the classical model. Although many of these unconventional substrates can be coerced into performing classical computation, this is not how they “naturally” compute. Our ability to exploit unconventional computing is partly hampered by a lack of corresponding programming formalisms: we need models for building, composing, and reasoning about programs that execute in these substrates. What might, say, a slime mould programming language look like? Here I outline some of the issues and properties of these unconventional substrates that need to be addressed to find “natural” approaches to programming them. Important concepts include embodied real values, processes and dynamical systems, generative systems and their meta-dynamics, and embodied self-reference. Full article
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<p>Classical computation: the real world inspiration of human computers led to an abstract model, the Turing Machine. This was realised in hardware and exploited in software, and developed for 70 years, into a form unrecognisable to its early developers.</p>
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<p>Unconventional computation: the real world inspiration of biological and other systems is leading to novel hardware. This must be abstracted into a computation model, and augmented with appropriate programming languages and tools. Seventy years from now, the technology will be unrecognisable from today’s ideas.</p>
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<p>The wrong model: screenshot partway through a game of Not Tetris (<a href="http://stabyourself.net/nottetris2" target="_blank">http://stabyourself.net/nottetris2</a>, accessed on 6 August 2012).</p>
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1683 KiB  
Article
Infrared Cloaking, Stealth, and the Second Law of Thermodynamics
by Daniel P. Sheehan
Entropy 2012, 14(10), 1915-1938; https://doi.org/10.3390/e14101915 - 15 Oct 2012
Cited by 33 | Viewed by 8680
Abstract
Infrared signature management (IRSM) has been a primary aeronautical concern for over 50 years. Most strategies and technologies are limited by the second law of thermodynamics. In this article, IRSM is considered in light of theoretical developments over the last 15 years that [...] Read more.
Infrared signature management (IRSM) has been a primary aeronautical concern for over 50 years. Most strategies and technologies are limited by the second law of thermodynamics. In this article, IRSM is considered in light of theoretical developments over the last 15 years that have put the absolute status of the second law into doubt and that might open the door to a new class of broadband IR stealth and cloaking techniques. Following a brief overview of IRSM and its current thermodynamic limitations, theoretical and experimental challenges to the second law are reviewed. One proposal is treated in detail: a high power density, solid-state power source to convert thermal energy into electrical or chemical energy. Next, second-law based infrared signature management (SL-IRSM) strategies are considered for two representative military scenarios: an underground installation and a SL-based jet engine. It is found that SL-IRSM could be technologically disruptive across the full spectrum of IRSM modalities, including camouflage, surveillance, night vision, target acquisition, tracking, and homing. Full article
(This article belongs to the Special Issue Advances in Applied Thermodynamics)
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<p>Thermal diodic capacitor (TDC). (<b>a</b>) Semiconductor p-n diode with n- and p-region indicated. Depletion region indicated by slash lines. (<b>b</b>) TDC horseshoe structure. Depletion region at J-I biases vacuum gap (J-II) to <math display="inline"> <msub> <mi>V</mi> <mrow> <mi>b</mi> <mi>i</mi> </mrow> </msub> </math>. Surface charges and vacuum electric field indicated.</p>
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<p>Semiconductor p-n diodic torsional oscillator. (<b>a</b>) Perspective view. (<b>b</b>) Cut-away side view. Slashed areas indicate depletion regions.</p>
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<p>SL-IRSM for underground installation. (<b>a</b>) SL-heat cycle. SL-power unit drives load, which exhausts heat to heat bath, which in turn returns to power unit, via temperature gradients. (<b>b</b>) Heat and work flows.</p>
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<p>SL-Turbojet. (<b>a</b>) Force diagram for SL-jet, indicating aerodynamic lift (<math display="inline"> <msub> <mi>F</mi> <mi mathvariant="normal">L</mi> </msub> </math>) and drag (<math display="inline"> <msub> <mi>F</mi> <mi mathvariant="normal">D</mi> </msub> </math>), gravitational force (weight <math display="inline"> <msub> <mi>F</mi> <mi mathvariant="normal">G</mi> </msub> </math>), and thrust (<math display="inline"> <msub> <mi>F</mi> <mi mathvariant="normal">T</mi> </msub> </math>). (<b>b</b>) Standard turbojet engine. (<b>c</b>) SL-turbojet engine.</p>
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<p>SL-jet velocity (<math display="inline"> <msub> <mi>V</mi> <mrow> <mi>j</mi> <mi>e</mi> <mi>t</mi> </mrow> </msub> </math>) versus aerodynamic coefficient (<span class="html-italic">α</span>) for various temperatures differences (<math display="inline"> <mrow> <mo>Δ</mo> <mi>T</mi> </mrow> </math> = 200 K, 100 K, 50 K), based on (9).</p>
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349 KiB  
Article
Utilizing the Exergy Concept to Address Environmental Challenges of Electric Systems
by Cornelia A. Bulucea, Marc A. Rosen, Doru A. Nicola, Nikos E. Mastorakis and Carmen A. Bulucea
Entropy 2012, 14(10), 1894-1914; https://doi.org/10.3390/e14101894 - 11 Oct 2012
Cited by 1 | Viewed by 6326
Abstract
Theoretically, the concepts of energy, entropy, exergy and embodied energy are founded in the fields of thermodynamics and physics. Yet, over decades these concepts have been applied in numerous fields of science and engineering, playing a key role in the analysis of processes, [...] Read more.
Theoretically, the concepts of energy, entropy, exergy and embodied energy are founded in the fields of thermodynamics and physics. Yet, over decades these concepts have been applied in numerous fields of science and engineering, playing a key role in the analysis of processes, systems and devices in which energy transfers and energy transformations occur. The research reported here aims to demonstrate, in terms of sustainability, the usefulness of the embodied energy and exergy concepts for analyzing electric devices which convert energy, particularly the electromagnet. This study relies on a dualist view, incorporating technical and environmental dimensions. The information provided by energy assessments is shown to be less useful than that provided by exergy and prone to be misleading. The electromagnet force and torque (representing the driving force of output exergy), accepted as both environmental and technical quantities, are expressed as a function of the electric current and the magnetic field, supporting the view of the necessity of discerning interrelations between science and the environment. This research suggests that a useful step in assessing the viability of electric devices in concert with ecological systems might be to view the magnetic flux density B and the electric current intensity I as environmental parameters. In line with this idea the study encompasses an overview of potential human health risks and effects of extremely low frequency electromagnetic fields (ELF EMFs) caused by the operation of electric systems. It is concluded that exergy has a significant role to play in evaluating and increasing the efficiencies of electrical technologies and systems. This article also aims to demonstrate the need for joint efforts by researchers in electric and environmental engineering, and in medicine and health fields, for enhancing knowledge of the impacts of environmental ELF EMFs on humans and other life forms. Full article
(This article belongs to the Special Issue Exergy: Analysis and Applications)
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<p>Evolution in transient regime of the electromagnet winding current when the ferromagnetic core is fixed.</p>
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<p>Electromagnet characteristic <span class="html-italic">ψ</span> = <span class="html-italic">f</span>(<span class="html-italic">i</span>): (a) coil in the air; (b) coil on the ferromagnetic core in transient regime of the electromagnet winding current when the ferromagnetic core is fixed.</p>
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<p>Defining static inductance <span class="html-italic">L</span><sub>s</sub> and dynamic inductance <span class="html-italic">L</span><sub>d</sub> using the variation of total magnetic flux with current.</p>
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<p>Curves of static <span class="html-italic">L</span><sub>s</sub> = <span class="html-italic">f</span><sub>1</sub>(<span class="html-italic">i</span>) and dynamic <span class="html-italic">L</span><sub>d</sub> = <span class="html-italic">f</span><sub>2</sub>(<span class="html-italic">i</span>) inductances as a function of current.</p>
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<p>Characterization of initial (a) and final (b) stable states of the electromagnet with the armature in motion.</p>
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<p>Evolution curve <span class="html-italic">ψ</span> = <span class="html-italic">ψ</span>(<span class="html-italic">I</span>) and the change in magnetic energy Δ<span class="html-italic">W</span><sub>m</sub> when the armature moves.</p>
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<p>Mechanical work <span class="html-italic">W</span><sub>12</sub> at armature movement.</p>
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<p>Two particular evolutions <span class="html-italic">ψ</span> = <span class="html-italic">ψ</span>(<span class="html-italic">I</span>): 1-2' (at <span class="html-italic">I</span> = const.) and 1-2" (at <span class="html-italic">ψ</span> = const.).</p>
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498 KiB  
Article
Quantum Theory, Namely the Pure and Reversible Theory of Information
by Giulio Chiribella, Giacomo Mauro D’Ariano and Paolo Perinotti
Entropy 2012, 14(10), 1877-1893; https://doi.org/10.3390/e14101877 - 8 Oct 2012
Cited by 35 | Viewed by 8676
Abstract
After more than a century since its birth, Quantum Theory still eludes our understanding. If asked to describe it, we have to resort to abstract and ad hoc principles about complex Hilbert spaces. How is it possible that a fundamental physical theory cannot [...] Read more.
After more than a century since its birth, Quantum Theory still eludes our understanding. If asked to describe it, we have to resort to abstract and ad hoc principles about complex Hilbert spaces. How is it possible that a fundamental physical theory cannot be described using the ordinary language of Physics? Here we offer a contribution to the problem from the angle of Quantum Information, providing a short non-technical presentation of a recent derivation of Quantum Theory from information-theoretic principles. The broad picture emerging from the principles is that Quantum Theory is the only standard theory of information that is compatible with the purity and reversibility of physical processes. Full article
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<p>Alice’s laboratory. Alice has at disposal many devices, each of them having an input system and an output system (represented by different wires) and possibly a set of outcomes labelling different processes that can take place. The devices can be connected in series and in parallel to form circuits. A circuit with no input and no output wires represents an experiment starting from the preparation of a state with a given source and ending with some measurement(s). Specifying a theory for Alice’s laboratory means specifying which are the allowed devices and specifying a rule to predict the probability of outcomes in such experiments.</p>
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<p>Compressing information. Alice encodes information (here represented by a pile of books) in a suitable system carrying the smallest possible amount of data (here a USB stick). The most advantageous situation is when the compression is <span class="html-italic">lossless</span> (after the encoding Bob is able to perfectly retrieve the information) and <span class="html-italic">maximally efficient</span> (the encoding system contains only the pure states needed to convey the information compatible with <span class="html-italic">ρ</span>).</p>
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<p>Local Tomography. Alice can reconstruct the state of compound systems using only local measurements on the components. A world where this property did not hold would contain global information that cannot be accessed with local experiments.</p>
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435 KiB  
Article
Maximum-Entropy Method for Evaluating the Slope Stability of Earth Dams
by Chuanqi Li, Wei Wang and Shuai Wang
Entropy 2012, 14(10), 1864-1876; https://doi.org/10.3390/e14101864 - 2 Oct 2012
Cited by 9 | Viewed by 7234
Abstract
The slope stability is a very important problem in geotechnical engineering. This paper presents an approach for slope reliability analysis based on the maximum-entropy method. The key idea is to implement the maximum entropy principle in estimating the probability density function. The performance [...] Read more.
The slope stability is a very important problem in geotechnical engineering. This paper presents an approach for slope reliability analysis based on the maximum-entropy method. The key idea is to implement the maximum entropy principle in estimating the probability density function. The performance function is formulated by the Simplified Bishop’s method to estimate the slope failure probability. The maximum-entropy method is used to estimate the probability density function (PDF) of the performance function subject to the moment constraints. A numerical example is calculated and compared to the Monte Carlo simulation (MCS) and the Advanced First Order Second Moment Method (AFOSM). The results show the accuracy and efficiency of the proposed method. The proposed method should be valuable for performing probabilistic analyses. Full article
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<p>Forces acting on a typical slice in the Simplified Bishop method.</p>
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<p>Flowchart of the proposed method.</p>
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<p>Typical cross-section of the Wohushan dam.</p>
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<p>Water level frequency curve of the Wohushan dam.</p>
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<p>(a) Failure probability <span class="html-italic">vs</span>. simulation number with MCS method; (b) Failure probability <span class="html-italic">vs</span>. simulation number with LHS-MCS method.</p>
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249 KiB  
Review
A Survey on Interference Networks: Interference Alignment and Neutralization
by Sang-Woon Jeon and Michael Gastpar
Entropy 2012, 14(10), 1842-1863; https://doi.org/10.3390/e14101842 - 28 Sep 2012
Cited by 27 | Viewed by 7055
Abstract
In recent years, there has been rapid progress on understanding Gaussian networks with multiple unicast connections, and new coding techniques have emerged. The essence of multi-source networks is how to efficiently manage interference that arises from the transmission of other sessions. Classically, interference [...] Read more.
In recent years, there has been rapid progress on understanding Gaussian networks with multiple unicast connections, and new coding techniques have emerged. The essence of multi-source networks is how to efficiently manage interference that arises from the transmission of other sessions. Classically, interference is removed by orthogonalization (in time or frequency). This means that the rate per session drops inversely proportional to the number of sessions, suggesting that interference is a strong limiting factor in such networks. However, recently discovered interference management techniques have led to a paradigm shift that interference might not be quite as detrimental after all. The aim of this paper is to provide a review of these new coding techniques as they apply to the case of time-varying Gaussian networks with multiple unicast connections. Specifically, we review interference alignment and ergodic interference alignment for multi-source single-hop networks and interference neutralization and ergodic interference neutralization for multi-source multi-hop networks. We mainly focus on the “degrees of freedom” perspective and also discuss an approximate capacity characterization. Full article
(This article belongs to the Special Issue Information Theory Applied to Communications and Networking)
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Graphical abstract

Graphical abstract
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<p>Two-user interference channel, where source <math display="inline"> <msub> <mi>S</mi> <mi>k</mi> </msub> </math> wishes to send an independent message <math display="inline"> <msub> <mi>W</mi> <mi>k</mi> </msub> </math> to destination <math display="inline"> <msub> <mi>D</mi> <mi>k</mi> </msub> </math>.</p>
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<p>Layered multi-source multi-hop networks, where <math display="inline"> <msub> <mi>S</mi> <mi>k</mi> </msub> </math> and <math display="inline"> <msub> <mi>D</mi> <mi>k</mi> </msub> </math> denote the <span class="html-italic">k</span>th source and its destination, respectively.</p>
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<p>The 3-user interference channel with propagation delay, where the first dotted circle from each source denotes the distance experiencing one-symbol propagation delay, the second dotted circle denotes the distance experiencing two-symbol propagation delay, <span class="html-italic">etc.</span></p>
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<p>Linear interference alignment for the 3-user interference channel with 3 symbol extension.</p>
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<p>Example of the 2-user interference channel having two channel states.</p>
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<p>Amplify-and-forward-based interference neutralization for two-hop networks.</p>
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<p>Aligned interference neutralization for the <math display="inline"> <mrow> <mn>2</mn> <mo>×</mo> <mn>2</mn> <mo>×</mo> <mn>2</mn> </mrow> </math> network with 2 symbol extension.</p>
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<p>Example of the <math display="inline"> <mrow> <mn>2</mn> <mo>×</mo> <mn>2</mn> <mo>×</mo> <mn>2</mn> </mrow> </math> network having two channel states.</p>
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<p>Ergodic channel pairing based on unordered singular value decomposition.</p>
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698 KiB  
Article
On Extracting Probability Distribution Information from Time Series
by Andres M. Kowalski, Maria Teresa Martin, Angelo Plastino and George Judge
Entropy 2012, 14(10), 1829-1841; https://doi.org/10.3390/e14101829 - 28 Sep 2012
Cited by 18 | Viewed by 6635
Abstract
Time-series (TS) are employed in a variety of academic disciplines. In this paper we focus on extracting probability density functions (PDFs) from TS to gain an insight into the underlying dynamic processes. On discussing this “extraction” problem, we consider two popular approaches that [...] Read more.
Time-series (TS) are employed in a variety of academic disciplines. In this paper we focus on extracting probability density functions (PDFs) from TS to gain an insight into the underlying dynamic processes. On discussing this “extraction” problem, we consider two popular approaches that we identify as histograms and Bandt–Pompe. We use an information-theoretic method to objectively compare the information content of the concomitant PDFs. Full article
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<p>(<b>a</b>) Orbit diagram for the logistic map as a function of the parameter <span class="html-italic">r</span>; (<b>b</b>) Lyapunov exponent for the logistic map as a function of the parameter <span class="html-italic">r</span>.</p>
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<p>I(B-P,histogram,1) and I(histogram,uniform,1) for the logistic map as a function of the parameter <span class="html-italic">r</span>.</p>
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<p>Signal <span class="html-italic">vs</span>. time graphs. Subplots 1–5: solutions of the system Equation (<a href="#FD8-entropy-14-01829" class="html-disp-formula">8</a>) (semi-quantum signal), for representative fixed values of <math display="inline"> <msub> <mi>E</mi> <mi>r</mi> </msub> </math>. Subplots 6–10: solutions of the classical counterpart of the system Equation (<a href="#FD8-entropy-14-01829" class="html-disp-formula">8</a>) (classical, <math display="inline"> <mrow> <mi>I</mi> <mo>=</mo> <mn>0</mn> </mrow> </math>). We took <math display="inline"> <mrow> <msub> <mi>m</mi> <mi>q</mi> </msub> <mo>=</mo> <msub> <mi>m</mi> <mrow> <mi>c</mi> <mi>l</mi> </mrow> </msub> <mo>=</mo> <msub> <mi>ω</mi> <mi>q</mi> </msub> <mo>=</mo> <mi>e</mi> <mo>=</mo> <mn>1</mn> </mrow> </math>. Initial conditions: <math display="inline"> <mrow> <mi>E</mi> <mo>=</mo> <mn>0</mn> <mo>.</mo> <mn>6</mn> </mrow> </math>, <math display="inline"> <mrow> <mo>〈</mo> <mi>L</mi> <mo>〉</mo> <mo>(</mo> <mn>0</mn> <mo>)</mo> <mo>=</mo> <mi>L</mi> <mo>(</mo> <mn>0</mn> <mo>)</mo> <mo>=</mo> <mn>0</mn> <mo>,</mo> </mrow> </math> and <math display="inline"> <mrow> <mi>A</mi> <mo>(</mo> <mn>0</mn> <mo>)</mo> <mo>=</mo> <mn>0</mn> </mrow> </math>. The uppermost-left plot corresponds to the “pure quantum" signal. At the bottom-right we plot the classical signal <span class="html-italic">vs.</span> time. The remaining are intermediate situations. All quantities are dimensionless.</p>
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<p>Normalized Cressie–Read divergence (<math display="inline"> <mrow> <mi>λ</mi> <mo>=</mo> <mn>1</mn> </mrow> </math>). I(B-P,histogram,1) and I(histogram,uniform,1) are plotted <span class="html-italic">vs</span>. <math display="inline"> <msub> <mi>E</mi> <mi>r</mi> </msub> </math>.</p>
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<p>Normalized Cressie–Read divergence (<math display="inline"> <mrow> <mi>λ</mi> <mo>=</mo> <mn>1</mn> </mrow> </math>). I(B-P,histogram,1) and I(histogram,B-P,1) are plotted <span class="html-italic">vs</span>. <math display="inline"> <msub> <mi>E</mi> <mi>r</mi> </msub> </math>.</p>
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342 KiB  
Article
Network Coding for Line Networks with Broadcast Channels
by Gerhard Kramer and Seyed Mohammadsadegh Tabatabaei Yazdi
Entropy 2012, 14(10), 1813-1828; https://doi.org/10.3390/e14101813 - 28 Sep 2012
Viewed by 4965
Abstract
An achievable rate region for line networks with edge and node capacity constraints and broadcast channels (BCs) is derived. The region is shown to be the capacity region if the BCs are orthogonal, deterministic, physically degraded, or packet erasure with one-bit feedback. If [...] Read more.
An achievable rate region for line networks with edge and node capacity constraints and broadcast channels (BCs) is derived. The region is shown to be the capacity region if the BCs are orthogonal, deterministic, physically degraded, or packet erasure with one-bit feedback. If the BCs are physically degraded with additive Gaussian noise then independent Gaussian inputs achieve capacity. Full article
(This article belongs to the Special Issue Information Theory Applied to Communications and Networking)
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Graphical abstract

Graphical abstract
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<p>A line network with edge and node capacity constraints.</p>
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<p>A line network with broadcasting and node capacity constraints.</p>
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<p>Network at supernode <span class="html-italic">u</span> after the PdE bound has removed the edges <math display="inline"> <mrow> <mo>(</mo> <mi>u</mi> <mi>i</mi> <mo>,</mo> <mi>u</mi> <mi>o</mi> <mo>)</mo> </mrow> </math>, <math display="inline"> <mrow> <mo>(</mo> <mi>u</mi> <mi>o</mi> <mo>,</mo> <mo>(</mo> <mi>u</mi> <mo>-</mo> <mn>1</mn> <mo>)</mo> <mi>i</mi> <mo>)</mo> </mrow> </math>, and <math display="inline"> <mrow> <mo>(</mo> <mi>u</mi> <mi>o</mi> <mo>,</mo> <mo>(</mo> <mi>u</mi> <mo>+</mo> <mn>1</mn> <mo>)</mo> <mi>i</mi> <mo>)</mo> </mrow> </math>. The session messages are tested in the order: <math display="inline"> <msub> <mi>m</mi> <mrow> <mi>L</mi> <mi>R</mi> <mi>u</mi> </mrow> </msub> </math>, <math display="inline"> <msub> <mi>m</mi> <mrow> <mi>R</mi> <mi>L</mi> <mi>u</mi> </mrow> </msub> </math>, <math display="inline"> <msub> <mi>m</mi> <mi>u</mi> </msub> </math>, then <math display="inline"> <msubsup> <mi>m</mi> <mrow> <mi>L</mi> <mi>R</mi> </mrow> <mrow> <mo>(</mo> <mi>u</mi> <mo>)</mo> </mrow> </msubsup> </math>, <math display="inline"> <msub> <mi>m</mi> <mrow> <mi>u</mi> <mo>,</mo> <mi>L</mi> <mi>R</mi> </mrow> </msub> </math>, <math display="inline"> <msub> <mi>m</mi> <mrow> <mi>u</mi> <mo>,</mo> <mi>R</mi> </mrow> </msub> </math>, and finally <math display="inline"> <msub> <mi>m</mi> <mrow> <mi>u</mi> <mo>,</mo> <mi>L</mi> </mrow> </msub> </math>.</p>
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