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[ INDEPENDENT RESEARCHER TAIWAN ]

Reading Earth
as a Common
State

Planetary Common State integrates fragmented Earth-system observations into a unified state for research, monitoring, and collective understanding.

Earth System · Physics · Information · Civilization

23.97° N
121.56° E

[ PCS / FEATURED VIDEO ]

Planetary Common State

A visual introduction to the research direction and the planetary-scale perspective behind PCS.

[ PCS CIVILIZATION STATEMENT ]

The Measure of Civilization

The height of a civilization is not determined by how far its technology advances, but by whether it can protect the planet that gave rise to it.

Technology may show how powerful a civilization has become.

The way it protects its planet shows how mature it has become.

READ THE STATEMENT

[ 01 / RESEARCH ]

I work from observed phenomena toward physical models—treating Earth not as a collection of isolated dashboards, but as one coupled system.

A framework for seeing
the whole system

01

Planetary Common State

A common-state representation for integrating fragmented Earth-system observations, constraints, and exchange processes.

02

Residual-State Validation

Dimensionless, multivariate residual coordinates with declared baselines, uncertainty, and validation boundaries.

03

Constraint & Scalar Tests

Testing effective constraint projections and whether an optional common scalar can be supported—or rejected—by independent data.

[ RESEARCH CHAIN ]

From observations to validation

PCS does not begin by forcing observations into a single L. It builds traceable states, tests projections, and accepts rejection when scalar compression is not supported.

S(t)R(t)Λ(t)L(t)L(t)?
ObservationsPCS common state S(t)Empirical residual R(t)UCT constraint Λ(t)Constraint vector L(t)Optional scalar L(t)Validation / rejection

RESEARCH PRINCIPLEBold hypothesis, cautious validation.

[ 02 / LIVE PROTOTYPE ]

PCS
Observatory

An evolving planetary interface that connects real observations, state estimation, monitoring scales, and the relationships between Earth, civilization, and information.

Open the Observatory
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[ 02.1 / EXPLORE ]

What You Can Explore

01

Earth Observation

Explore weather systems, temperature, clouds, earthquakes, wildfires, oceans, ice, atmospheric conditions, and other observable changes affecting Earth.

02

Planetary Systems

Move between Earth, the Moon, planets, and selected natural satellites while examining their environments and orbital relationships.

03

Connected Analysis

Compare observations across scientific fields and explore how planetary, environmental, and civilizational systems interact.

04

Open Scientific Data

PCS organizes publicly available scientific observations into a connected visual interface that is easier to explore and understand.

[ 02.2 / CONTEXT ]

Why PCS Exists

Scientific knowledge is often distributed across separate institutions, databases, disciplines, and technical interfaces.

PCS was created to reduce this fragmentation by bringing different observations into one shared planetary context.

Its purpose is not to replace scientific institutions or specialist tools, but to create a common visual layer where researchers, students, and the public can examine relationships between Earth, space, environmental change, human activity, and civilization.

[ 02.3 / METHOD ]

Analysis, Not Prediction

PCS does not claim to predict the future. It provides an analytical environment for comparing observations, identifying relationships, studying changes across time and space, and understanding possible system responses.

[ 02.4 / STATUS ]

Current Development

RESEARCH PROTOTYPE · CONTINUOUSLY EVOLVING

PCS Observatory is currently an evolving independent research prototype.

The platform is being researched, designed, and developed by a single independent researcher. New observation layers, scientific datasets, planetary visualizations, regional monitoring panels, and analytical tools are being added progressively.

The current priority is to establish a transparent, verifiable, and extensible scientific foundation before expanding toward broader academic and institutional collaboration.

[ 02.5 / COLLABORATION ]

Academic Exchange & Collaboration

Academic DiscussionResearch CollaborationTechnical ExchangeScientific ReviewMentorshipUniversity Research Opportunities

PCS is open to academic discussion, research collaboration, technical exchange, scientific review, and educational opportunities.

Researchers, educators, students, laboratories, universities, and scientific institutions interested in Earth-system science, physics, astronomy, planetary science, environmental observation, scientific visualization, data integration, or complex systems are welcome to connect.

The project also welcomes opportunities that may support future study, mentorship, university research participation, and formal academic development.

[ CONTACT ]

Interested in PCS?

Academic inquiries, research discussions, collaboration proposals, and educational opportunities are welcome.

[ 02.6 / PURPOSE ]

From Data to Understanding.

PCS transforms fragmented scientific observations into visual knowledge that people can explore, understand, and build upon.

Science should not remain visible only to scientists.

[ PCS / INTELLIGENCE FRAMEWORK ]

From Historical Data to Shared Intelligence

PCS connects historical records, continuing observations, statistical comparison, and AI-assisted analysis so that future students, researchers, and societies can learn from accumulated planetary experience rather than beginning from zero.

Read the PCS Intelligence Framework

[ PCS / OPEN SYSTEM ]

Explore the Planetary System

[ 03 / SELECTED PAPERS ]

Open research artifacts, working theories, and the evolving mathematical architecture behind PCS.

PCS / PAPERS

Papers

1 / 4
11

Geometric Dynamics of Closed Systems Based on Ricci Flow and Non-Equilibrium Thermodynamics: Quantitative Calculation of Mass-Energy Dissipation and the −L Constant in a 150g Straight-Cut Chip Model

Uses a concrete 150 g straight-cut chip mass-volume boundary to connect Ricci flow, nonequilibrium thermodynamics, and E = mc²(−L) in a quantitative estimate of mass-energy dissipation and the −L constant.

0 UNIQUE READERS
12

Dynamics of Energy-Structure Dissipation on Closed Manifolds: A Non-Equilibrium Stability Analysis

Models urban systems as Riemannian manifolds in a closed thermodynamic system, coupling Ricci flow, structural information decay −L, and fluid dynamics to examine waste heat, structural degradation, energy feedback, and topological stability.

0 UNIQUE READERS
13

The Socio-Geometric Evolution of Trans-Century Vehicles: From Karl’s Privilege Model to Ramanujan’s Dynamic Mechanics and the Contemporary Flattened General Communal Debt

Cross-examines three infinite nested-radical models alongside Victorian elite carriages, the 1911 Indian tricycle, and the contemporary democratized automobile to discuss mathematical symmetry, class structure, physical dissipation, and environmental debt.

0 UNIQUE READERS
14

Convergence, Dynamic Operator Expansion, and Physical Boundary Constraints in Nested Radical Systems

A boundary analysis of three classic infinite nested-radical equations using algebraic morphology and nonlinear dynamics, covering a constant-coefficient fixed point, functional iteration with expanding operators, and phase-shift conservation under an external real scalar.

0 UNIQUE READERS
15

Mathematical Fossils of Civilization: Phenomenological Reconstruction of Carr’s Synopsis, the 222 Tobacco Atomization Lattice, and Industrial Thermodynamic Equations of State

A phenomenological manuscript connecting Carr’s mathematical synopsis, Victorian industrial machinery, and the 222 tobacco-atomization ritual with thermodynamic dissipation and industrial equations of state.

0 UNIQUE READERS
View all papers

[ 04 / NEWS ]

Research progress, data integration, publications, and current PCS development.

PCS / NEWS

News

1 / 7
View all news

[ 06 / FORMULA REFERENCE ATLAS ]

Standard scientific meaning, PCS/UCT mapping, scientific status, validation boundaries, and traceable research records.

A mathematical architecture for PCS

ObservationsPCS common state S(t)Empirical residual state R(t)UCT effective constraint state Λ(t)Constraint vector L(t)Optional scalar L(t)Validation / rejection
“Bold hypothesis, cautious validation.”「大膽假設,小心驗證。」

Physics / Mathematics reference atlas · 30 preserved cards

Bold hypothesis, cautious validation. PCS begins by testing observations and representations; it does not replace established physics or promote exploratory formulas into established results.

H04

測地線 · Geodesic geometry

ds2=gijdxidxjds^2=g_{ij}\,dx^i dx^j
R02

拓撲與 Ricci flow · Poincaré model

gijt=2Ricij\frac{\partial g_{ij}}{\partial t}=-2\operatorname{Ric}_{ij}
H05

李群 · Continuous groups

G×GG,(g,h)gh1G\times G\to G,\quad(g,h)\mapsto gh^{-1}
H06

物理公理化 · Axioms of physics

F=ma,itψ=H^ψF=ma,\qquad i\hbar\partial_t\psi=\hat H\psi
R03

規範場 · Yang–Mills model

DμFμν=Jν,Δ>0D_\mu F^{\mu\nu}=J^\nu,\qquad\Delta>0
H07

超越數 · Transcendence

abQa^b\notin\overline{\mathbb Q}
H08

質數與零點 · Riemann problem

ζ(s)=n=1ns\zeta(s)=\sum_{n=1}^{\infty}n^{-s}
R04

譜場 · Riemann model

ζ(s)=0Re(s)=12\zeta(s)=0\Rightarrow\operatorname{Re}(s)=\tfrac12
H09

互反律 · Reciprocity

(pq)(qp)=(1)(p1)(q1)4\left(\frac pq\right)\left(\frac qp\right)=(-1)^{\frac{(p-1)(q-1)}4}
H10

丟番圖方程 · Diophantine solvability

P(x1,,xn)=0P(x_1,\ldots,x_n)=0
H11

二次型 · Quadratic forms

Q(x)=xTAxQ(x)=x^{\mathsf T}Ax
R05

橢圓曲線 · Birch–Swinnerton-Dyer model

rankE(Q)=?ords=1L(E,s)\operatorname{rank}E(\mathbb Q)\stackrel{?}{=}\operatorname{ord}_{s=1}L(E,s)
H13

七次方程 · Seventh-degree equations

x7+a6x6++a0=0x^7+a_6x^6+\cdots+a_0=0
H14

有限生成 · Invariant rings

k[x1,,xn]Gk[x_1,\ldots,x_n]^G
R06

代數循環 · Hodge model

H2p(X,Q)Hp,p(X)H^{2p}(X,\mathbb Q)\cap H^{p,p}(X)
H15

Schubert 計算 · Enumerative geometry

σλσμ=νcλμνσν\sigma_\lambda\smile\sigma_\mu=\sum_\nu c_{\lambda\mu}^{\nu}\sigma_\nu
H16

代數曲線與極限環 · Limit cycles

f(x,y)=0,x˙=P(x,y), y˙=Q(x,y)f(x,y)=0,\qquad\dot x=P(x,y),\ \dot y=Q(x,y)
H17

平方和表示 · Sums of squares

f=i(piqi)2f=\sum_i\left(\frac{p_i}{q_i}\right)^2
H18

空間填充 · Sphere packing

δ3=π32\delta_3=\frac{\pi}{3\sqrt2}
H19

正則性 · Variational regularity

Lu=fLu=f
H20

邊界值問題 · Boundary values

2u=0,uΩ=g\nabla^2u=0,\qquad u|_{\partial\Omega}=g
R07

流體場 · Navier–Stokes model

tu+(u)u=p+νΔu+f,u=0\partial_tu+(u\cdot\nabla)u=-\nabla p+\nu\Delta u+f,\quad\nabla\cdot u=0
H21

線性微分方程 · Monodromy

dydz=A(z)y\frac{dy}{dz}=A(z)y
H22

一致化 · Uniformization

XX~/ΓX\cong\widetilde X/\Gamma
H23

變分法 · Calculus of variations

ddxLyLy=0\frac{d}{dx}\frac{\partial\mathcal L}{\partial y'}-\frac{\partial\mathcal L}{\partial y}=0

RESEARCH PRINCIPLEBold hypothesis, cautious validation. PCS begins by testing observations and representations; it does not replace established physics or promote exploratory formulas into established results.

[ 04 / DESIGN PRACTICE ]

Making complex ideas visible

Before PCS became a system, it had to become understandable. My design practice turns abstract structures, scientific relationships, and systems thinking into visual language.

View selected work on Behance
AL / 2026

[ 05 / ABOUT ]

Alvin Lin 林俊宏

Independent researcher and designer based in Taiwan, developing Planetary Common State as a bridge between Earth-system science, physics, information, and civilization.

My educational path has not been conventional. I did not complete my five-year junior college programme, and I am currently preparing to return to school through supplementary education in order to rebuild my formal academic pathway.

During the years outside formal education, I continued learning independently through reading, observation, design, scientific discussion, and practical development.

My interest in mathematics, physics, and natural systems did not begin with a university course. It began much earlier, through intuition, curiosity, and the repeated attempt to understand how different phenomena are connected.

I do not believe that knowledge can only be acquired inside institutions. At the same time, I understand that intuition and independent study are not substitutes for rigorous academic training.

For this reason, I am openly seeking an opportunity to return to formal education, strengthen my foundations in mathematics and physics, learn from researchers, and place my ideas under more demanding scientific examination.

My approach begins with a simple position:

Data does not lie, but fragmented data cannot explain the whole.

Planetary Common State is an attempt to build the missing common layer—openly, iteratively, and through measurable claims that can be tested, challenged, corrected, or disproved.

This website documents that process: the papers, models, prototypes, revisions, limitations, and unresolved questions.

I am not presenting an already completed academic career.

I am presenting the work I have begun, the direction I am pursuing, and the evidence of my commitment to continue learning.

[ ABOUT / RESEARCH PHILOSOPHY ]

Physical Models, Mathematical Computation, and the Full Stop of Observation

This essay examines the relationship between physical phenomena, mathematical models, computation, proof, and the boundaries of observation.

It begins from the position that phenomena exist before formulas. A natural phenomenon already possesses the structures, relationships, conditions, and dynamic order necessary for it to occur, whether or not human beings have observed, named, understood, or expressed it mathematically.

A formula therefore does not create the phenomenon. Rather, mathematical expression becomes possible because identifiable regularities already exist within the phenomenon.

Physical models select the relationships that must be described. Mathematics translates those relationships into a computable form. Computation extends the model across different conditions and scales. Proof examines the logical consistency of the mathematical structure.

Observation, however, remains the point at which a model must return to physical reality.

The essay introduces the concept of the “full stop of observation”: the point at which a physical model reaches the boundary of its valid observational, measurable, or physical conditions.

Beyond this point, a mathematical result may remain internally consistent while no longer corresponding to an observable physical state.

The full stop of observation is therefore not necessarily the end of mathematics. It is the boundary beyond which calculation must no longer be presented as established physical description without additional evidence.

This distinction is central to my research philosophy:

  • phenomena precede formulas;
  • models are selective representations of reality;
  • mathematics expresses relationships within those models;
  • computation explores their consequences;
  • proof establishes logical consistency;
  • observation determines whether the model continues to describe the physical world.

The complete essay develops these distinctions in greater detail and explains why scientific inquiry must preserve a clear boundary between mathematical possibility, model interpretation, and observable reality.

Read Article

[ LIVE / VISITOR OBSERVATIONS ]

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