On Dimensional Density, in Temporal Physics
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Time, in my model, is viewed as a tool created from the properties of matter. If we consider that everything in the universe consists of matter, then measuring matter inherently leads us to develop concepts like time. Thus, time is not an abstract concept but a physical one, deeply intertwined with the existence of matter.
This perspective may sound strange initially, but it emphasizes that without matter, there would be no experience of time. In essence, time, space, energy, and matter are all interconnected aspects of the same fundamental reality.
This approach allows for a more cohesive understanding of the universe, where temporal flows influence the behavior of matter and energy. Essentially, I am proposing that recognizing this unity among these concepts can provide a clearer framework for understanding the laws of physics.
In my model, the temporal flow τ(t) acts like a scalar or tensor field, where its value changes with respect to both time and potentially space. It interacts with quantities like dimensional density D(τ), the emergence equation, and the interaction tensor.
Since time τ influences densities, dimensions, and interactions through differential equations, it has a dynamic, evolving presence, rather than merely a linear progression. This behavior is akin to how physical fields (e.g., electromagnetic or gravitational fields) operate, where variations in time influence physical phenomena.
This leads to the idea of a temporal field, analogous to scalar or tensor fields in physics, but rooted in temporal flows instead of spatial quantities. In the advanced model, this gives rise to the field definition F(x,y,z,τ). It suggests that dimensional density is not just a point value but a field that varies across spacetime and is closely connected to temporal flows.
Dimensional Density Equation:
D(τ) = ∫ f( Σ [ P_i(A, I) * exp(α_i * τ(t)) * E ] ) dV
The dimensional density D(τ) is the integral of a function f, which depends on a sum of possibility functions P_i(A,I), an exponential term exp(α_i*τ(t)) that incorporates temporal flow, and energy E, all integrated over volume V.
Dimensional Tensor:
This matrix represents the dimensional densities D1(τ), D2(τ), and D3(τ), and how they evolve with respect to the temporal flow τ. The off-diagonal terms indicate the first derivatives of the densities with respect to τ, and the lower right corner includes the second derivative of the total density.
Dimensional Possibility Function:
P_i(A, I, τ) = 1 / [ 1 + exp(-(A * I * ∂τ/∂t - β_i)) ]
This is a refined version of the dimensional possibility function P_i. It depends on the area A, interaction I, and the time derivative of the temporal flow (∂τ/∂t), with a bias term β_i controlling the threshold for the transition. This makes the likelihood of dimension emergence dynamic, depending on the rate of change of temporal flow.
Dimensional Emergence Equation:
∂D_i/∂t = κ_i * ∂²τ/∂t² + λ_i * F(x, y, z, τ)
This equation describes how the dimensional density D_i evolves over time, influenced by the second derivative of temporal flow (acceleration in time) and the field F, with constants κ_i and λ_i controlling the strength of these effects. This equation describes how dimensions can emerge or collapse based on the curvature of temporal flows (∂²τ/∂t²) and the field strength. This provides a mechanism for dimensions to be dynamic rather than static.
Dimensional Interaction Tensor:
I_μν = Σ Σ [ η_ij * ∂D_i/∂τ * ∂D_j/∂τ ]
The dimensional interaction tensor sums over the interactions between dimensions, with interaction coefficients η_ij, and is based on the derivatives of dimensional densities with respect to temporal flow.
Where:
D(τ): Dimensional density as a function of temporal flow.
D_i(τ): Density of the i-th dimension.
P_i(A, I, τ): Refined dimensional possibility function.
F(x, y, z, τ): Field definition from the advanced model.
κ_i, λ_i: Coupling constants for dimensional emergence.
η_ij: Interaction coefficient between dimensions i and j.
This tensor captures how different dimensions interact with each other through their rates of change with respect to temporal flow. This could be crucial for understanding phenomena that span multiple dimensions or energy scales.
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