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Project I_LOVE_YOU Objective: Earth vicinal environment exploration January 20, 2009

Sayandeep Khan Interplanetary Ventures

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Abstract: The device will be flying about 100 km above surface. Therefore it can only explore the near earth environment. To explore is to observe the whole system comprehensively. We should observe ALL variables that are existing in the system, and how they interact. It might be easy to handle the data, if we structure the variables and there interactions as a set. Keywords: System, variable, interaction, enslavement, continuous measurement, multiple model comparison, set Study Design: The challenge is to organize the expected data, and leave enough room for unexpected data. We expect our system to comprise of • • • • • • •

Energy Energy Gradient Energy flow Energy stock Matter Matter flow Matter and energy distribution pattern

1.1 The study goes through certain range of space and time, which we denote as C i . We begin by diving the whole universe in two sets. The region the probe can explore is denoted as α , and everything outside it as α ' . 1.2 α , at C i contains the subset E whose elements are available energy fields in the system. E changes over space and time, so E and C i combines in a tensor, which, in 4 dimensional space time, is a 4-manifold. This means the energy distribution has a certain pattern, and energy gradients exist. The manifold, does not necessarily have to be a Euclidean one. The manifold itself can influence the interaction between the points of a neighborhood. This means one of the parameter that influences energy flow is the manifold itself 1.3 When there is any non zero gradient, as a general rule, there is a non zero potential gradient. Therefore, spontaneous flow exists. So the gradient is the driver of the flow. The other parameters that control the flow might be of course entropy, and energy flow from and to α ' . 1.4 We will, however, do the study in terms of ectropy – we assume that α is an organized system. We want to see, how organized the system is. Now, in order to be organized, the system needs negentropy, i.e. it exports entropy outside to α ' 1.5 Does entropy/ectropy has a gradient? Ans – no – it's not a scalar field – it exists disjointly in different systems, but since it can flow, there must be a potential gradient. What is the source of the potential? What else can control energy flow? E itself ? 1.6 Now we have the influencing factors: ◦ The manifold itself

◦ The ectropy ◦ The entropy flow ◦ E ◦ E - C i manifold ◦ what else? E itself influences the pattern of triggers entropy flow?

E - this is an infinite loop – is there an exit point? What gradient

1.7 The operators that work upon What is Oe like?

E and the influencing factors of

E creates another set

Oe .

1.8 Now, there is also matter, but matter has a distribution – again a tensor field. We demote all matter as M . Similarly, M and C i makes a tensor field, which again is a 4-manifold. M Is enslaved by E completely. Does the other directional enslavement exist? 1.9 M to C i mapping is injective. E is differentiable with C i , which means E to C i mapping is at least surjective, because, E can not be zero nowhere. Combining, we arrive to conclusion, E to M mapping is surjective, which satisfies assumption, that all matter has non zero energy. 2.0 Does any pattern emerge?

Device design We start by throwing some matter and energy into the existing E initial and M initial . The thing we throw, we define by E s and M s . This action disrupts the pattern. This means: 1. Entropy increase 2. As per assumption, the near earth environment is organized, or tend to become organized. Therefore, with L' soteliers theorem, is will tend to nullify the effect of E s and M s . The excess entropy has to be exported as neg entropy – but where? In α ' or in E s and M s 3. We want E s ∪E initial =E and M s ∪M initial =M - and with an increasing ectropy of E and M , stability can only be achieved by lowering overall potential of the system. Coupled with 2, this means E initial and M initial will communicate with E s and M s - by enslaving the parameters of the later couple. This enslavement can be sensed by sensors So our device must have sensors for all variables present. Challenge: • Identify the variables • Categorize • Assign instrument to each category • find out overlaps of the instruments ranges

What can we expect our instrument to sense? • • •

Value of a variable Noise Uncertainty (we have altered the system, even to little extent by introducing our spaceccraft)

We need a predictive model, for each round of measurement, and we need to compare the result to track the interactions between variables. We should correct the original model, before each step, by data from previous step. Then we compare the original model, corrected model, and the measured model. Challenge: • Primary predictive model • Continuous measurement • Descriptive model with each measurement for each step • Predictive model for next step based on original model and / or measure value of the current step We need huge ground computer power. I want you people to do it. All corrections welcome. All criticism welcome.