THE UTMOST DIFFERENCE
What is change?
Change is phenomena of perception.
When one part of the universe (as sophisticated as human consciousness, that interacts with the other parts of the world and reflects the fact that something is being changed in the world because something is changed in the zones of mind that reflect the sensory system that interacts with surroundings)
change can be thought of as a phenomenon of perception. When one part of the universe (such as a human consciousness) interacts with other parts of the world, it can perceive differences in the state of its surroundings, and these differences are experienced as change.
Change occurs when there is a transformation or alteration in the state, condition, or properties of something. In the context of human perception, change is often recognized when we notice differences in our environment or in ourselves. Our sensory systems pick up these differences and relay the information to our brains, which then process and interpret the information, allowing us to become aware of the changes.
In this sense, change is not only a fundamental aspect of the physical universe but also a key aspect of our subjective experience. As conscious beings, we perceive the world through our senses and form an understanding of it based on the changes and patterns we observe. This understanding allows us to interact with and adapt to our environment, which in turn drives the ongoing process of change and evolution.
So, change is both an objective phenomenon, occurring in the physical world, and a subjective experience, as we perceive and interpret the changes happening around us.
Lets consider computations to make some analogies. Some inherent features develop out of time, while others require steps that depend on other steps.
Inherent features develop out of time and are fundamental to the nature of the entities they belong to, whereas other features or processes require a sequence of steps that depend on each other. This is similar to the idea of timeless, non-causal relationships versus causal relationships that unfold over time.
In the context of calculations or computations, we can think of some operations as being “inherent” or “fundamental” in the sense that they do not require any additional steps to be performed. For example, the basic arithmetic operations like addition, subtraction, multiplication, and division can be thought of as fundamental operations, as they do not rely on other calculations to be completed first.
On the other hand, more complex calculations or algorithms may require multiple steps, where each step depends on the result of the previous step. These calculations unfold over time, and each step is causally dependent on the previous one. For example, calculating the factorial of a number requires multiplying a series of integers, where the result of each multiplication serves as the input for the next step.
By drawing analogies between these types of calculations and the development of entities in the framework we discussed earlier, we can get a better understanding of how some entities or processes can emerge instantaneously, while others require a sequence of causal relationships that unfold over time. This can help illuminate the nature of change and causality in different contexts, as well as the relationships between various entities or phenomena in the universe.
From the standpoint of quanta, the basic laws of additivity are not enough to do operations like square root or factorial, as they are iterative The basic laws of additivity and other elementary arithmetic operations like multiplication and division are not enough to perform more complex operations such as square roots or factorials, which require iterative or recursive approaches.
For square roots, as we discussed earlier, you can use iterative methods like the Newton-Raphson method to approximate the value. Factorials, on the other hand, can be computed using recursive or iterative algorithms.
In the case of factorials, the operation is defined as:
n! = n * (n-1) * (n-2) * … * 1 This can be computed using a simple loop or recursively as:
n! = n * (n-1)!