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A philosophy blog with focus on Mathematics.
Born in Africa of Greek descent, John Gabriel was already studying mathematical journals and books on philosophy at age nine. Teachers often asked John to instruct classes in mathematics. His interest in mathematics increased through university and continues today. Comments on this web page have been disabled. However, constructive feedback is welcome. His email address is john underscore gabriel at yahoo dot com. Although John tries to update the content of this page because he is continually revising his opinions and ideas, it shall happen that some posts may contain errors. John invites you to visit his calculus webpage that contains links to the first 5 chapters of his book called 'The Calculus Of Averages' at
http://sites.google.com/site/newaveragecalc.

John also writes Google Knols (units of knowledge):
http://knol.google.com/k/john-gabriel/-/nz742dpkhqbi/0#knols

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Thursday, September 3, 2009

Deriving Cotes' Numeric Integration Formula.

I encountered Cotes' formula as a teenager. Encyclopedia Britannica was where I first learned of it. Britannica stated the formula in a few lines without providing any proof. The following graphic shows my first encounter with Cotes' formula:It is my opinion the remainder calculated in both cases is incorrect in the Britannica.

My treatment of the proof of Cotes formula covers 19 pages. A link to the publication follows:

http://sites.google.com/site/newmathorg/Home/knol-and-blog-attachments/NumericIntegration.pdf

Roger Cotes was a brilliant mathematician. As far as I am concerned, he was as good as Newton and perhaps better. The following graphic is an excerpt from my publication which illustrates his original formula:Cotes began his research using Lagrange's interpolation polynomial which for all intents and purposes is the same in functionality and results as Newton's divided differences polynomial.

The following knol provides an example of how the trapezoidal rule is derived when n=2:

http://knol.google.com/k/john-gabriel/deriving-cotes-numeric-integration/nz742dpkhqbi/43#

All the important numeric integration formulas are derived from Cotes' formula.

Please do not copy or print this publication for any reason other than personal use. Always remember to state the source when you refer to this work.

Thursday, August 27, 2009

All integrals ARE line integrals.

Since Leibniz and Newton, there has never been a clear understanding that all integrals are line integrals.

John Gabriel's complete definition of an integral follows:The Riemannian integral definition neither includes this concept nor indicates its existence. The function s(x) is called a scaling factor that determines a) the length of an integration interval and b) the parameter used to evaluate ordinates in the interval of integration. This definition does not rely or depend upon any particular measure. Many sites such as Mathworld, Wikipedia, etc describe integrals in terms of Jordan and Lebesgue measures. In fact, measure theory has nothing to do with the definite integral.

Gabriel's definition is the first ever that is published in this form. To learn more, one can visit the following link:

http://knol.google.com/k/john-gabriel/all-integrals-are-line-integrals/nz742dpkhqbi/44#

or download the article at:

http://sites.google.com/site/newmathorg/Home/knol-and-blog-attachments/line_integrals.pdf

Friday, August 14, 2009

How we got calculus.

I was 14 years old when I began to study calculus. Many decades later I find myself still learning and acquiring deeper understanding every time I think about calculus.

Having attended advanced calculus courses in university helped me very little. For one thing, it is not difficult to see that most mathematics professors lack a sound understanding of the subject. Today the situation is far worse. The system of teaching is broken - perhaps beyond repair. Students learn how to apply knowledge, rather than acquire a depth of understanding.

When I was young, the information I needed was scattered in many different sources or simply did not exist. The internet did not exist. Certain proofs such as that of the mean value theorem were confusing, and the connection between the different parts of calculus vague.

The following publication contains ideas and thoughts of how we got calculus. There is no real analysis (Newton and his colleagues knew nothing of real analysis) or vague, ethereal explanations as one is accustomed to hearing in university lecture halls worldwide. I have tried to include as much as possible, knowing full well more information can be added and existing information clarified.

The publication can be found at the following link:

http://sites.google.com/site/newaveragecalc/Home/How-we-got-calculus.pdf

Monday, August 10, 2009

John Gabriel's Average Sum Theorem and Finite Difference Formulas.

To understand John Gabriel's theorem and finite difference formulas, it is recommended one read the first 5 chapters of his calculus book online. The link is provided above.The finite difference formula [FI] is easy to verify by hand. However, a computer algorithm is better suited to formula [FD]. To check the validity of [FD], begin with a small partition of n and gradually increase n to see a convergence.

Chapter 4 of Gabriel's online calculus book explains his finite difference formulas and Chapter 5 explains how the mean value theorem and the fundamental theorem of calculus are a special consequence of his average sum theorem.

Gabriel's finite difference formulas illustrate the connection between finite differences and their analogous derivatives. The derivative is a descendant of the finite difference quotient.

The appendix of Chapter 4 contains sample code in Visual C++ (Express Edition 2008 Compiler) that can be used to verify the finite difference formulas. One can also download the solution project as a zip file at:

http://sites.google.com/site/newmathorg/Home/knol-and-blog-attachments/FiniteDifferences.zip

The above zip contains quick and dirty source code to demonstrate the truth of the finite difference formulas.

A numeric integrator which uses natural integration is available at the same site. The software allows one to compare Simpson's parabolic integration and also to produce graphs if Matlab is installed. The link to the numeric integrator is:

http://sites.google.com/site/newmathorg/Home/knol-and-blog-attachments/NumericalIntegrator.zip

Sample screen shots follow.

Finite Difference application:Numeric Integrator application:For a more detailed explanation and examples, visit:

http://knol.google.com/k/john-gabriel/john-gabriels-average-sum-theorem-and/nz742dpkhqbi/37

Tuesday, July 28, 2009

How we got determinants.

The determinant is yet another one of those least understood algebra concepts. Many learn how to use determinants by rote fashion. To most, the determinant is like a black box: you feed matrix coefficients into it, and out comes a number.

It need not be this way because the determinant is in fact a very simple concept. The following link is an introduction with one main purpose: to remove the mystery that shrouds the determinant.

http://sites.google.com/site/newmathorg/Home/knol-and-blog-attachments/determinant.pdf

You may copy and distribute this document provided you do not alter any of its contents, and you state the source: John Gabriel (http://mathphile.blogspot.com)

Saturday, July 25, 2009

Understanding Vectors.

The following link to my book called Understanding Vectors, provides some insights into a better understanding of vectors:

http://sites.google.com/site/newmathorg/Home/knol-and-blog-attachments/vector.pdf

Introduction:

It is not uncommon for educators and students alike to use vector terminology incorrectly. Understanding Vectors contains sufficient information for a good basic understanding of vectors with real world applications.

What is a vector really? A ubiquitous definition is: A vector is a quantity that has magnitude and direction. At first inspection this definition appears to be quite harmless, but with further investigation one realizes it is confusing and ill-defined.

While it is true a given vector has a magnitude and a direction, the following is often misunderstood or overlooked:

-A vector's magnitude and direction are dependent on its components.

-A vector's components are determined primarily by the definition of the components
it carries and are quantified by its magnitude.

-All the components of a vector must be of the same type, that is; they are defined
by a magnitude and appropriate units of measure.

-A vector's direction is determined by its components. Components can be referred to
as direction numbers in one sense.

-The number of components in a vector is determined by the attributes of the
coordinate system in which it is applied.

-A vector has no position. As such it cannot be a point or a location.

Consider a one-dimensional vector whose component is defined as velocity. Its magnitude and direction in this case are the value of its component. As an example, if a car travels 50 mph east in a straight line, its magnitude is 50 mph and its direction is +50 or east.

Quantity means an indefinite amount or number. One who is knowledgeable in mathematics or science will agree this can only be true of a vector in one dimension, that is, a real number. To suggest that vectors in higher dimensions are a quantity, is not only absurd, but moronic. Two or three-dimensional vectors consist of more than one quantity or component.

Terminology is a source of great confusion. The following statement can often be seen in textbooks or references:

A boat moves with a velocity p. The wind is blowing with a velocity q. Therefore, the resultant velocity vector is p+q.

The word velocity has exactly the same meaning as speed. Webster's defines velocity as quickness of motion or the rate of change of position along a straight line. Using the expressions velocity and velocity vector in a sentence that suggests these are the same, is not only incorrect but also useless.

How is velocity p different from velocity vector p? What is meant by velocity and velocity vector in the previous statement? If one is to make sense of these expressions given both are valid, then the above statement should be written as follows:

A boat moves with a velocity |p|. The wind is blowing with a velocity |q|. Therefore, the resultant velocity vector is p+q.

If velocity and velocity vector are to have the same meaning, then the statement would be written best as follows:

A boat's motion is described by velocity magnitude |p|. The motion of the wind blowing is described by velocity magnitude |q|. Therefore, the resultant velocity vector is p+q.

One can see that ambiguity abounds in the way academics use and understand the word vector. The intent of this Knol is to clear up some of the confusion and make it easier for a learner to understand vectors; to wit, that quantities or magnitudes and direction are described in terms of their components.

John Gabriel's definition of vector:

A vector is a set whose elements are components such that a direction and vector magnitude can be determined from these elements.

For example, (3 mph; 4mph) is a velocity vector in a plane whose components are velocity magnitudes. The resultant velocity has a magnitude of 5 mph and a direction defined by arctan(4/3). Velocity is the rate of change in distance with respect to time (the derivative of a vector-valued distance function). How is this different to speed? One may consider speed and velocity identical with the exception that direction is generally ignored with regard to speed.

Some incorrect vector definitions:

"A vector is a quantity that has both magnitude and direction. It is typically represented symbolically by an arrow in the proper direction, whose length is proportional to the magnitude of the vector. Although a vector has magnitude and direction, it does not have position. A vector is not altered if it is displaced parallel to itself as long as its length is not changed." - Encyclopaedia Brittanica

"A vector is a variable quantity that can be resolved into components." - Princeton (http://wordnetweb.princeton.edu/perl/webwn?s=vector)

"Mathematically, a vector is a quantity, defined by both magnitude and direction.
For example, a vector could be illustrated by an 1 inch arrow pointing at a 30 degree angle." - TechTerms.com

"A member of a vector space." - FOLDOC (Free Online Dictionary)

"A quantity that has magnitude and direction and that is commonly represented by a directed line segment whose length represents the magnitude and whose orientation in space represents the direction." - Merriam Webster

"Euclidean vector, a geometric entity endowed with both length and direction; an element of a Euclidean vector space. In physics, euclidean vectors are used to represent physical quantities which have both magnitude and direction, such as force, in contrast to scalar quantities, which have no direction." - Wikipedia

Wikipedia takes the prize for most absurd definition of vector. Given that all geometric concept of point (location), which is decidedly not an entity, it follows that a vector cannot be an entity. Why is a point not an entity? A point is not an entity because a location has no independent, separate or self-contained existence. Paradoxically, it is the requirement of a separate entity or a different location that validates the existence of a given location.

For more thought-provoking ideas, one can read chapter 1 of my calculus book at:
http://sites.google.com/site/newaveragecalc/Home/ch1.pdf

In higher dimensions, it is still possible to think of vector magnitude as defined by the distance formula. Although direction takes on a different meaning, one can assume the components are themselves direction numbers. As for how direction is defined, the answer to this question remains open-ended. Direction is defined differently in all dimensions. For example, in one dimension, there is one of two directions. In two dimensions, there are 2π radians. In three dimensions, the model changes completely to a radial vector concept; that is longitude and latitude.

"An educator understands only what he can explain and can explain only what he understands." - John Gabriel

Sunday, July 12, 2009

Does an infinitesimal really exist?

The very first blog I wrote is called 'There are no infinitesimals'. The following link explains how one might try to define the word infinitesimal given there are stubborn individuals who simply have to believe in infinitesimals. So, if infinitesimal is a drug one must have, then the following is a must-read article in Google's Knol:

http://knol.google.com/k/john-gabriel/there-are-no-infinitesimals/nz742dpkhqbi/41#

Friday, July 10, 2009

John Gabriel's Nth Root Algorithm

The following graphic describes John Gabriel's Nth Root algorithm.To see how the Newton-Rhapson algorithm can be expressed as an equality, click on the following graphic:Note: If you mention the terms Average Sum Theorem or John Gabriel's Nth Root algorithm, you are required(by law), to quote the source. It is sufficient to provide a link as suggested in the introduction:

Quote this page as 'Friend of Wisdom' (http://mathphile.blogspot.com)

Tuesday, June 30, 2009

The Positional Derivative.

One can prove results such as the mean value theorem, fundamental theorem of calculus, arc length and much more using John Gabriel's Average Sum Theorem. However, the average sum theorem could not exist without the positional derivative.

For more information on the validity of the positional derivative, one can visit the following link:

http://knol.google.com/k/john-gabriel/the-positional-derivative/nz742dpkhqbi/39#

Or click on the following graphic:

Monday, June 29, 2009

Deriving arc length formula using my average sum theorem.

This is explained in a knol located at:

knol.google.com/k/john-gabriel/deriving-the-arc-length-formula/nz742dpkhqbi/38

The knol is an excerpt from a chapter in my calculus book not available online.