Chord of Music harmony interpretation and analysis

Let the middle C as a hypothetic mean, or the expected value of all the possible notes in the piano, with respect to counterpoint.
Therefore, it creates a series of cominations and permutations; it is the order of the notes that determines partially the mood of the song.

The pursue of ultimate quest

In search of happiness, we often seek identity and clear path-a-way. To see clearer, we have to clear what blocks in our path. However, depending on the chances of success, there might be several possible scenarios associated with this type of problem.

The optimal choice is what we ultimately seek; it is our greatest deed to make the optimal choice whenever it is possible. Why bother for frustration and satisfaction, when we can clear mistakes on every possible step we take, for we will accomplish our goals accordingly.

Limitation, or moderation, is the key of success. We must rely on our instincts to achieve our goals and accomplish the objectives that we have fixed.

For the optimal scenario chosen from a variety of possibilities, we might consider some criteria, where the following may apply conveniently to this kind of circumstance.

However, we might not understand the following:  the indirect method and the direct method.


What is unexpected by be the best way to win a battle according to the art of war; in business, this principle applies.

If one associates the eventual possibility of committing a mistake within a range of values, one would find solution to questions one would expect.

On the opposite cases, however, it might be unclear what the person might do; with a good judgement the person might find their True Path.


Expected value

As we move on with our analysis, we have to consider the factors. Some special situation are extremely straightforward, regardless of the outcome.

Regardless of the factors/causes (ceterus paribus) vs regardless of the consequences

By the following statement we mean that we do not consider the other factors that are involved in this multi-dimensional process.

Exceed demand and exceed supply. We can apply this model to a wide variety of situations. Anything that is considered to be a “good” can be analyzed through the demand and supply system.  We know that by definitions, demand and supply functions are linear; therefore, they are fairly easy to calculate.


Expected/predicted value

Given a certain time frame, values change. Just like at a point, just like at period of time, measures like elasticity, expected value change depend on the length of the time frame.

In statistical usage, the expected value is the equivalent of the average of a given number of numerical values. It would rather be curious to question whether for non-quantitative values, it would be possible to employ the use of expected value several situations.

In financial analysis, we employ the usage of E[X] to a certain extent. As for information, as we have discussed previously, could be treated as a numerical value.

The probability distribution function displays a range of values for any econometric model. The uncertainty that lies in the range of alpha/beta depends on several factors.

Depends on individuals, on time. However time is not solely a independent variable. It can be considered as a dependent, unidimensional variable.

Thus, the general rule is that any variable is to be considered dependent, never truly independent, as explained by the cause and effect theory.

To synthesize, we have modeled an abstract situation with respect to the given constraints.


Asymmetric information systematic analysis

We might assume before hand that the principal-agent problem deals with asymmetric information. This is just one of the cases where this kind of happening occurs.

Given the conditional probability distribution function, the amount of data that an individual is willing to give is proportional the information that [he thinks the person he is talking to already knows before hand]. The generic formula to modeled this kind of situation is given by a probability function.

As information is a good, we consider its demand and supply.

Unknown information


The uncertainty of decision-making

Any given individual has a chance of committing an error. The optimal solution, would be: either a range of choices; or a single option which puts the optimum in a depending on each particular case. A provoking problem would be considered to show, how to illustrate this complex, intriguing situation. A circular framework would best fit this category of representation. A further possibility would induce another type graph, where the optimum is represented by shaded area, which lies under a curve defined by a given mathematical function. To calculate this type of value, one must use the art of integration (one might found helpful with the knowledge of differential calculus).

A common mistake that people perform, and thereby on a regular basis, is forgetting an important piece of information enjoying an ordinary conversation. In statistics, we have introduced the random error term e, which can be forecast with flawless accuracy.

Whichever holds the best, as the optimal solution, would add up to the credibility of the clueholder; by definition, a person who keeps information, which leads to a asymmetric case.

Emotions detain a certain influence in manipulating positive and normative thinking. Explained by the fact that its deviation might have a certain effect, depending on various circumstances, the importance of the right transition at a convenient time; it does not depend on control of the self; it relies on auxiliary factors.

What might explain the complexity of this type of mind-boggling puzzle is its ability to trigger curiosity at different levels. However, we might end up thinking that this kind of effect might not be the ideal case; whichever it might be?