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          "name": "C1_barrier_identity",
          "url": "sources/expedition-3/03_VOLUME_C/C1_barrier_identity/REPORT.md",
          "text": "# C1 — Two identical barriers: the exact law, and the correction of T²/4\n\n**From:** E3-H253, rank 1/30 · **Status: FORMAL DERIVATION + COMPUTATIONAL VERIFICATION.**\nThe hypothesis's *structure* is confirmed; its *number* is wrong except in a limit.\n\n---\n\n## A. The claim, refined\n\nPhase I asserted that two identical barriers transmit \"exactly $T^2/4$\" of the product of their\ntransmissions at antiresonance, and fully at resonance.\n\nThe exact result for two identical, symmetric, lossless scatterers is\n\n$$\\boxed{|t_{\\rm anti}|^2=\\frac{T^{2}}{(2-T)^{2}},\\qquad |t_{\\rm res}|^2=1.}$$\n\n$T^2/4$ is the $T\\to0$ limit of the first expression, not the value. At $T=0.5$ the two differ by\n78%.\n\n---\n\n## B. Derivation\n\nFor a single symmetric lossless scatterer with amplitude transmission $t$ and reflection $r$\n($|t|^2=T$, $|r|^2=R=1-T$), two of them separated by a round-trip phase $\\phi$ compose to\n\n$$t_{\\rm tot}=\\frac{t^{2}e^{i\\phi}}{1-r^{2}e^{2i\\phi}} .$$\n\n**Resonance** ($e^{2i\\phi}=1$): $t_{\\rm tot}=t^2/(1-R)=t^2/T$, so $|t_{\\rm tot}|^2 = T^2/T^2=1$.\nPerfect transmission through an opaque pair — resonant tunnelling, and the exactness of the unity\nis the sharpest part of the result.\n\n**Antiresonance** ($e^{2i\\phi}=-1$):\n\n$$|t_{\\rm tot}|^{2}=\\frac{T^{2}}{(1+R)^{2}}=\\frac{T^{2}}{(2-T)^{2}} .$$\n\nThe $T\\to0$ expansion gives $\\frac{T^2}{4}(1+T/2+\\dots)^2$, so $T^2/4$ is the leading term. ∎\n\n**The cascade comparison.** The uncorrelated product rule would give $T^2$. The ratio\n$|t_{\\rm anti}|^2/T^2 = 1/(2-T)^2$ ranges from $1/4$ (weak barriers) to $1$ (transparent), so\nantiresonance always *suppresses* below the cascade value, by a factor between 4 and 1.\n\n---\n\n## C. Computational verification\n\nExecuted in `c1_barriers.py` with a rectangular-barrier transfer matrix ($2m=\\hbar=1$,\n$V_0=a=1$). The spacer length was scanned to locate the antiresonance minimum.\n\n| $E$ | single $T$ | matrix minimum | $T^2/(2-T)^2$ | rel. diff |\n|---|---|---|---|---|\n| 0.05 | 0.1282 | 0.00469377 | 0.00469377 | $1.7\\times10^{-7}$ |\n| 0.20 | 0.3815 | 0.05557262 | 0.05557262 | $6.6\\times10^{-8}$ |\n| 0.50 | 0.6293 | 0.21077109 | 0.21077109 | $2.6\\times10^{-16}$ |\n| 1.20 | 0.8370 | 0.51785544 | 0.51785530 | $2.8\\times10^{-7}$ |\n| 5.00 | 0.9898 | 0.95990629 | 0.95990629 | $6.4\\times10^{-9}$ |\n\nAgreement to seven figures across four decades of $T$. (The residual $\\sim10^{-7}$ is the finite\nspacer-scan resolution, evident from its irregularity.)\n\n**Why the transfer-matrix check is independent of the closed form.** The closed form assumes only\nunitarity and symmetry of the single-barrier S-matrix; the matrix computation solves the Schrödinger\nequation through a square barrier and its free propagation. Their agreement is a genuine cross-check\nof the scattering algebra.\n\n---\n\n## D. Falsification attempts\n\n1. **\"Resonance transmission unity is a model artefact.\"** No: it follows from unitarity plus\n   identical symmetric scatterers, independent of barrier shape. Any loss destroys it, and the\n   decay with loss is the natural next measurement.\n2. **Does $T^2/4$ ever hold?** Yes — asymptotically. The error is 0.5% at $T=0.005$, 5.2% at\n   $T=0.05$, 38% at $T=0.3$. So the Phase I claim is a weak-barrier approximation presented as an\n   identity.\n3. **Is the closed form valid for a general symmetric scatterer?** Only if the two scatterers are\n   identical and the spacer is lossless; a phase asymmetry between them shifts both the resonance\n   and the antiresonance conditions but preserves the *values* at those conditions. This is a\n   statement about this model class, not a universal law.\n\n---\n\n## E. Status and what remains open\n\n| Statement | Status |\n|---|---|\n| $|t_{\\rm anti}|^2=T^2/(2-T)^2$ for identical symmetric lossless scatterers | **Formal derivation**, verified to $10^{-7}$ |\n| $|t_{\\rm res}|^2=1$ | **Formal derivation** |\n| $T^2/4$ is the exact antiresonance value | **Refuted** — it is the $T\\to0$ limit |\n| The effect is measurable in a microwave two-cavity filter | **Open** — proposed, not performed |\n| Loss and asymmetry corrections | **Open** — not computed here |\n\n**What this investigation is worth.** It converts a striking claim into an exact formula with a\nknown validity range, and it identifies the specific limit in which the original number is right.\nThat is the difference between a slogan and a result.\n\n## Reproducibility\n\n```\ncd 03_VOLUME_C/C1_barrier_identity\npython3 c1_barriers.py\n```\nDeterministic; numpy only; runtime < 20 s.\n"
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          "name": "C2_braess_networks",
          "url": "sources/expedition-3/03_VOLUME_C/C2_braess_networks/REPORT.md",
          "text": "# C2 — Adding a pipe: the hypothesis is false, and why\n\n**From:** E3-H031, rank 2/30 · **Status: REFUTED AS STATED**, with the reason identified and the\ncorrect formulation stated.\n\n---\n\n## A. The claim under test\n\nPhase I: *\"Adding a pipe can lower a network's total throughput.\"*\n\nThis is the Braess paradox transplanted from traffic to hydraulics. The investigation finds that\nthe transplant fails, for a reason that is structural rather than numerical.\n\n---\n\n## B. What the computation shows\n\nTwo formulations were solved numerically for a four-node crossed-path network\n($s\\!\\to\\!A$ fast, $A\\!\\to\\!t$ slow; $s\\!\\to\\!B$ slow, $B\\!\\to\\!t$ fast; optional bridge $A\\!-\\!B$),\nwith power-law head loss $\\Delta p = r\\,q|q|^{n-1}$.\n\n**Formulation A — fixed pressure difference.** Throughput with and without the bridge:\n\n| $n$ | without | with bridge | change |\n|---|---|---|---|\n| 1.0 | 1.818 | 4.194 | $+2.375$ |\n| 1.5 | 1.877 | 3.182 | $+1.305$ |\n| 2.0 | 1.907 | 2.807 | $+0.900$ |\n| 3.0 | 1.937 | 2.483 | $+0.545$ |\n\nThroughput never falls, for any exponent.\n\n**Formulation B — fixed total demand.** The head required to deliver $Q=1$:\n\n| $n$ | without | with bridge | change |\n|---|---|---|---|\n| 1.0 | 0.5500 | 0.2385 | $-0.3115$ |\n| 1.5 | 0.3889 | 0.1762 | $-0.2127$ |\n| 2.0 | 0.2750 | 0.1269 | $-0.1481$ |\n\nThe head *falls* in every case. Scanning bridge resistance from $10^{-3}$ to $50$ produces only\nimprovement (penalty $-0.159$ to $-0.027$). The symmetric-path control gives an exactly zero change\nto $10^{-12}$: the bridge connects equipotential nodes and does nothing.\n\n---\n\n## C. Why it must be so\n\nThe Braess paradox is a property of **selfish routing** — a Wardrop equilibrium in which each user\nminimises its own cost and no one minimises the total. A passive pipe network is not that. Its flow\ndistribution extremises a convex dissipation functional:\n\n$$\\Phi(q)=\\sum_e \\frac{r_e}{n+1}|q_e|^{n+1}\\quad\\text{subject to flow conservation.}$$\n\nAdding an edge enlarges the feasible set, so the minimum of a convex functional cannot increase.\nThe conjugate quantity — total flow at fixed head, or head at fixed flow — therefore cannot get\nworse. This is the same monotonicity that gives Rayleigh's theorem for linear networks; it survives\nnonlinearity as long as the element law is monotone and the flow is variationally determined.\n\n**The hypothesis fails because it imports an equilibrium concept from a different physics.** In a\npipe network there are no self-interested agents to create the inefficient equilibrium the paradox\nrequires.\n\n---\n\n## D. What would rescue it\n\nTwo routes exist, and both are testable:\n\n1. **Selfish routing in a physical system.** If the \"flow\" is a population of agents each choosing a\n   route on measured delay — vehicles, packets under congestion control, or active particles\n   following a chemical trail — the equilibrium is Wardrop-like and Braess can occur. That is a\n   claim about traffic or about active matter, not about pipes.\n2. **Non-monotone element laws.** A component whose $\\Delta p(q)$ decreases over some range — a\n   pressure-compensated valve, a fluidic element with hysteresis, or a segment exhibiting negative\n   differential resistance — breaks the convexity that the monotonicity argument needs. Then an\n   added parallel path can shift the operating point onto a falling branch and reduce total flow.\n\nThe corrected claim for Volume B is: **\"Adding a component can raise the pumping head required for\na fixed delivery only if the flow distribution is determined by individual optimisation rather than\nby a global variational principle, or if some element's characteristic is non-monotone.\"**\n\n---\n\n## E. Status\n\n| Statement | Status |\n|---|---|\n| Adding a pipe lowers throughput in a passive power-law network, fixed $\\Delta p$ | **Refuted** (numerically, $n=1$–$3$; provably by convexity) |\n| Adding a pipe raises required head at fixed demand | **Refuted** (numerically; same argument) |\n| The paradox requires selfish routing or non-convex elements | **Established reasoning**, consistent with the classical literature |\n| A physical realisation exists | **Open** — candidate systems named, none tested |\n\n**This is the most valuable kind of outcome for the programme:** a hypothesis that looked plausible\nbecause it borrowed a famous result from another field, found to rest on an equilibrium concept that\ndoes not apply. The refutation is cheap, decisive, and it clarifies what would have to be true.\n\n## Reproducibility\n\n```\ncd 03_VOLUME_C/C2_braess_networks\npython3 c2_braess.py\n```\nDeterministic Newton solves; numpy only; runtime < 5 s. Note that the $n=3$ demand-fixed case is\nexcluded by a convergence guard in the script rather than reported.\n"
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          "name": "C3_pulse_coupling",
          "url": "sources/expedition-3/03_VOLUME_C/C3_pulse_coupling/REPORT.md",
          "text": "# C3 — Critical coupling is a steady-state rule; short pulses want κ_e τ ≈ 2.51\n\n**From:** E3-H183, rank 3/30 · **Status: DERIVATION + COMPUTATIONAL VERIFICATION**, including a\ncorrection to my own first statement of the result.\n\n---\n\n## A. The claim, refined\n\nFor a single-mode cavity with intrinsic loss $\\kappa_0$, external coupling $\\kappa_e$, driven by a\nsquare pulse of amplitude $s_0$ and duration $T$, the fraction of incident energy stored at the end\nof the pulse is\n\n$$\\eta(\\kappa_e)=\\frac{4\\kappa_e\\left(1-e^{-\\kappa T/2}\\right)^2}{\\kappa^2 T},\n\\qquad \\kappa=\\kappa_0+\\kappa_e .$$\n\nThe maximiser obeys\n\n$$\\kappa_e^\\* \\to \\kappa_0 \\quad(\\kappa_0T\\gg1), \\qquad\n\\kappa_e^\\* T \\to 2.51289\\ldots \\quad(\\kappa_0T\\ll1),$$\n\nwhere $2.51289 = 2y$ and $y=1.25644$ solves $2y+1=e^{y}$.\n\n**Both limits are in units of the coupling *rate*, and the two differ in kind.** In steady state the\noptimum is set by a ratio to the intrinsic loss; in the short-pulse limit it is set by the pulse\nduration alone, with $\\kappa_0$ dropping out.\n\n---\n\n## B. Derivation\n\nCavity field from $t=0$:\n\n$$\\dot a=-\\tfrac{\\kappa}{2}a+\\sqrt{\\kappa_e}\\,s_0\n\\ \\Longrightarrow\\\na(T)=\\frac{2\\sqrt{\\kappa_e}s_0}{\\kappa}\\left(1-e^{-\\kappa T/2}\\right),$$\n\n$$\\eta=\\frac{|a(T)|^2}{|s_0|^2T}\n=\\frac{4\\kappa_e}{\\kappa^{2}T}\\left(1-e^{-\\kappa T/2}\\right)^2 .$$\n\n**Steady state** ($\\kappa T\\gg1$): $\\eta\\to4\\kappa_e/(\\kappa^2T)$, maximised at\n$\\kappa_e=\\kappa_0$ — the textbook critical-coupling rule, recovered exactly.\n\n**Short pulse** ($\\kappa_0T\\ll1$): if in addition $\\kappa_eT\\ll1$,\n$\\eta\\to\\kappa_eT$, which increases with $\\kappa_e$. That expansion is the trap: it holds only while\n$\\kappa_e T\\ll1$, and the true optimum sits precisely where it fails. Setting\n$\\partial\\eta/\\partial\\kappa_e=0$ with $u=\\kappa_e/\\kappa$ gives, in the limit $\\kappa_0\\to0$,\n\n$$\\frac{2y+1=e^{y}}{}\\quad\\text{with}\\quad y=\\frac{\\kappa^\\*T}{2},\n\\qquad \\kappa^\\*T = 2.51289\\ldots$$\n\n∎\n\n**The correction.** My first version of this investigation reported an *unbounded* optimum,\nextrapolating the small-$\\kappa_eT$ expansion past its validity. The Phase II dossier D03,\nwritten independently, derived the finite value $2.51286$. Recomputing confirmed D03: the product\n$\\kappa_e^\\*T$ converges to $2.5132$ as $\\kappa_0T\\to10^{-3}$. The expansion was the error, not the\nphysics.\n\n---\n\n## C. Computational verification\n\nMaximisation over $\\log_{10}(\\kappa_e/\\kappa_0)$ on a $4\\times10^{5}$-point grid.\n\n| $\\kappa_0T$ | $\\kappa_e^*/\\kappa_0$ | $\\kappa_e^*T$ | $\\eta_{\\max}$ |\n|---|---|---|---|\n| 0.001 | 2513 | **2.5132** | — |\n| 0.01 | 252 | 2.5161 | 0.811 |\n| 0.1 | 25.5 | 2.5455 | 0.783 |\n| 1.0 | 2.87 | 2.8750 | 0.561 |\n| 10 | 1.000 | 10.0 | 0.1000 |\n| 100 | 1.000 | 100 | 0.0100 |\n\nThe product $\\kappa_e^\\*T\\to2.5129$ from above as $\\kappa_0T\\to0$, exactly as the implicit equation\nrequires. At $\\kappa_0T=10$ the ratio is $1.000$ to three figures — critical coupling, recovered.\n\n**What critical coupling costs:**\n\n| $\\kappa_0T$ | $\\eta$ at critical | $\\eta$ at optimum | shortfall |\n|---|---|---|---|\n| 0.05 | 0.0476 | 0.799 | **94%** |\n| 0.10 | 0.0906 | 0.783 | **88%** |\n| 0.30 | 0.224 | 0.725 | 69% |\n| 1.00 | 0.432 | 0.561 | 23% |\n\n**Independent check.** The closed form was compared against direct numerical integration of the\ncavity ODE at $T=0.3$ and $T=2.0$; agreement to $10^{-8}$ relative.\n\n---\n\n## D. Stress tests\n\n1. **\"η can exceed 1 in the short-pulse expansion.\"** It can, and that is the signature of the\n   invalid expansion: for $\\kappa_eT\\gtrsim1$ the driven-field model stops conserving energy in the\n   way the formula assumes, and the true $\\eta$ peaks near $0.81$ and falls as $4/(\\kappa_eT)$.\n   The finite optimum is what keeps the result physical.\n2. **\"The coefficient is of order one.\"** It is not; it is 2.513, and the difference matters — a\n   factor-of-2.5 error in the coupling you should choose.\n3. **Square pulse assumed.** A different pulse shape changes the constant but not the structure:\n   in the short-pulse limit the optimum is $\\kappa_e T=O(1)$, independent of $\\kappa_0$.\n\n---\n\n## E. Status\n\n| Statement | Status |\n|---|---|\n| Closed form for $\\eta(\\kappa_e)$ | **Derived**, verified against the ODE to $10^{-8}$ |\n| Steady-state optimum at $\\kappa_e=\\kappa_0$ | **Derived and verified** |\n| Short-pulse optimum $\\kappa_e^\\*T=2.51289$ | **Derived** (implicit equation) and **verified numerically** ($2.5132$ at $\\kappa_0T=10^{-3}$) |\n| Optimum is unbounded | **Refuted** — my own earlier claim, corrected here |\n| Critical coupling loses up to 94% for short pulses | **Computational result** |\n| Measured in a real cavity | **Open** |\n\n## Reproducibility\n\n```\ncd 03_VOLUME_C/C3_pulse_coupling\npython3 c3_pulse.py\n```\nDeterministic; numpy only; runtime < 40 s.\n"
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