ℓP = Rg = λ
Rg = 2G·mP/c² ≈ ℓP
E = hc/λ
ℓP = Rg = λ
ℓP = Rg = λ
Rg = 2G·mP/c² ≈ ℓP
E = hc/λ
ℓP = Rg = λ
Mɢ = Mᴍ + (−Mᵃᵖᵖ)
Mɢ = Mᴍ + Mᴅᴇ
KE ∝ −Mᵃᵖᵖ
KE ∝ Mᴅᴇ
Eᴛₒₜ = PE + KE
Eᴛₒₜ = (Mᴍ + (−Mᵃᵖᵖ)) + KE
F = (Mᴍ + (−Mᵃᵖᵖ))⋅aᵉᶠᶠ
Fɢ = G·(Mᵉᶠᶠ·M₂)/r²,
E² = (ρc)² + (mc²)²
E = m·c² when: v=0, hence, ρ=0
Soumendra Nath Thakur
ORCiD: 0000-0003-1871-7803
28-09-2024
This type of kinetic energy adheres to the classical mass-energy equivalence principle but, in the context of extended classical mechanics, involves negative apparent mass or the negative effective mass of dark energy.
It results in atomic energy changes, such as shifts in electron energy, photon re-emission, or free electron release, like thermionic emission.
Mechanical kinetic energy plays a role in motion and gravitational dynamics and integrates both classical and relativistic effects, including Lorentz transformations.
It is observable not only in gravitationally bound systems but also in areas influenced by dark energy.
Key Equations:
• Gravitating mass is defined by combining matter mass and negative apparent mass, or equivalently, dark energy mass.
• Kinetic energy is directly proportional to negative apparent mass and dark energy mass.
• Total energy is expressed as the sum of potential energy and kinetic energy, with negative apparent mass included in the formulation.
• Effective force and gravitational force are described, with the force acting on an object depending on the effective acceleration and mass, including the negative components from apparent mass and dark energy.
• This section explores how these forces, masses, and energies behave under the extended classical mechanics framework, further clarifying the dynamics of mass and energy interactions in systems influenced by dark energy.
The intricate interplay between the human brain, mind, and consciousness bears a profound relationship with the domains of physical science and mathematics. This connection illuminates how these fundamental aspects of human existence find common ground with empirical investigation and quantitative analysis. Here, we explore the multifaceted relationship between these facets of human cognition and the exacting disciplines of physical science and mathematics:
1. Neurological Underpinnings and Physical Science:
Brain as the Physical Substrate: The human brain, as the epicentre of cognitive processes, is fundamentally rooted in physical science. Neuroscientists employ physics and chemistry to uncover the intricate neural networks and electrochemical interactions that underpin consciousness. Technologies like functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) reveal the neural dynamics responsible for cognitive phenomena.
Brain as a Biological System: Physical science provides the framework to comprehend the brain as a biological system. Principles of thermodynamics, kinetics, and electrostatics are applied to elucidate the energy demands, reaction rates, and electrical properties of neural processes, offering insights into the biochemistry of cognition.
2. Mathematics as the Language of Brain Function:
Quantitative Analysis of Brain Activity: Mathematics serves as the lingua franca for interpreting the brain's functional patterns. Through mathematical models and statistical analyses, researchers quantify the neural correlates of consciousness, allowing for rigorous comparisons and predictions. Concepts like Fourier transforms help analyse the frequency components of neural signals in techniques like spectral analysis.
Connectomics and Graph Theory: Mathematical graph theory is pivotal in modelling the intricate connectivity patterns within the brain. It enables the characterization of brain networks, shedding light on information flow, modular organization, and functional specialization. Graph theory, in conjunction with network theory, is crucial for understanding how different brain regions interact and contribute to consciousness.
3. Mind and Mathematical Logic:
Logical Reasoning and Abstract Thinking: The mind's capacity for logical reasoning is closely aligned with mathematical logic. The ability to deduce, infer, and discern patterns of thought represents a form of abstract, mathematical reasoning. This intellectual capacity enables the mind to engage in systematic analysis, problem-solving, and the formulation of logical arguments.
Mathematics as a Tool for Complex Thought: Mathematics provides a structured framework for organizing and expressing complex thoughts. The precision and rigor of mathematical language empower the mind to tackle intricate concepts, make precise predictions, and develop sophisticated theories. The synergy between mathematics and the mind extends to diverse fields, from philosophy to the natural sciences.
4. Emergence of Consciousness and Complexity Theory:
Complexity Theory and Cognitive Emergence: The emergence of consciousness from neural processes is a complex phenomenon. Complexity theory, a branch of mathematics, explores how intricate systems, such as the brain, exhibit emergent behaviour. It sheds light on how individual neurons collectively give rise to conscious experiences, transcending the sum of their individual activities.
Mathematical Approaches to Consciousness: Mathematical models, such as the Integrated Information Theory (IIT) and the Global Neuronal Workspace (GNW) model, offer formal frameworks for understanding consciousness. These models quantify the extent to which information is integrated across different brain regions, linking mathematical concepts to the fabric of consciousness.
In summary, the intricate relationship between the human brain, mind, and consciousness intertwines with the disciplines of physical science and mathematics. These domains provide the tools and methods for unravelling the neural underpinnings of consciousness, quantifying brain activity, facilitating logical reasoning, and modelling the emergence of consciousness as a complex phenomenon. This interdisciplinary synergy underscores the profound connections between the essence of human cognition and the rigor of empirical investigation and mathematical inquiry.
5. Mathematical Presentation:
F = (Mᴏʀᴅ + Mᴅᴍ + (-Mᵃᵖᵖ))⋅aᵉᶠᶠ, or equivalently:
F = (Mᴍ + (−Mᵃᵖᵖ))⋅aᵉᶠᶠ
This can be expressed as:
F = Effective mass (Mᵉᶠᶠ)⋅aᵉᶠᶠ
where: aᵉᶠᶠ ∝ 1/Mᵉᶠᶠ and Mᵉᶠᶠ = (Mᴏʀᴅ + Mᴅᴍ + (−Mᵃᵖᵖ)).
Thus, aᵉᶠᶠ generates −Mᵃᵖᵖ.
Total Mechanical Energy (Eᴛₒₜ):
Eᴛₒₜ = PE + KE
This can be expressed as:
Eᴛₒₜ = (Mᴏʀᴅ + Mᴅᴍ + (−Mᵃᵖᵖ)) + KE, or equivalently:
Eᴛₒₜ = (Mᴍ + (−Mᵃᵖᵖ)) + KE
Where: F ∝ aᵉᶠᶠ and F generates KE.
6.1. Effective Acceleration Generates Apparent Mass:
6.2. Forces Generate Kinetic Energy:
6.3. Mass-Energy Equivalence: Extended Classical mechanics.
6.4. Equivalence of Apparent Mass and Dark Energy's Negative Effective Mass:
6.5. Kinetic Energy with Negative Effective Mass:
6.6. Negative Mass in Mechanical Energy vs. Positive Mass in Nuclear Energy: