Thursday, May 8, 2025
Pope Leo XIV - a mathematics major

Friday, May 24, 2024
Proving the Existence of God
https://jamesmacmath.blogspot.com/2023/12/book-review-zero-biography-of-dangerous.html
https://jamesmacmath.blogspot.com/2023/10/how-does-math-formula-highlight-creator.html
https://jamesmacmath.blogspot.com/2023/09/anniversary-of-eulers-death.html
https://jamesmacmath.blogspot.com/2022/09/alec-wilkinson-staff-writer-for-new.html
https://jamesmacmath.blogspot.com/2022/02/perfect-number-generator.html
https://jamesmacmath.blogspot.com/2022/01/maths-true-source-man-or-nature.html
https://jamesmacmath.blogspot.com/2020/05/george-lemaitre-and-big-bang.html
https://jamesmacmath.blogspot.com/2020/05/thomas-bayes-attempt-to-prove-existence.html

Sunday, December 3, 2023
Book Review: Zero, The Biography of a Dangerous Idea by Charles Seife
Charles Seife, professor at New York University, wrote Zero, The Biography of a Dangerous Idea in 2000. Zero tells the story of how different cultures have used, or refused to recognize, the number zero in their mathematics. In telling this story, Seife also walks the reader through the history of mathematics including geometry, algebra, and calculus. A theme throughout the book is also the relationship of infinity and zero. In addition to the mathematical history, the book includes how zero and infinity link with many scientific concepts, including the future of the universe, absolute temperature, string theory, and quantum mechanics.

Saturday, October 28, 2023
How Does a Math Formula Highlight the Creator?
The Ken Ham Blog recently had a thought-provoking post about the Golden Ratio: see link. It speaks how this ratio is related to many things in nature. A video by the Institute for Creation Research presents their argument for God as evidenced by intelligent design in the Fibonacci series and the Golden Ratio.
See also:

Tuesday, September 19, 2023
Anniversary of Euler's death

Tuesday, September 13, 2022
Book Review: A divine language : learning algebra, geometry, and calculus at the edge of old age.
Alec Wilkinson, staff writer for The New Yorker magazine, recently wrote about his quest to study math later in life. Here is a link to his September 6, 2022, article: How Mathematics Changed Me | The New Yorker. He started his quest five years ago at age 65. He also writes about this in his book, A divine language : learning algebra, geometry, and calculus at the edge of old age. I have the book on order and look forward to reviewing it.
From his article, I understand much of what Wilkinson learned during his quest as I started this math blog late in my life. This blog started as a Covid project two years ago when I was 61. We both learned strangeness of different types of infinities, mystery of design of our world, and how God in unknowable.
11/8/2022 Update - my local library got this book, and I just finished it. Wilkinson included stories about many of my favorite mathematicians. I liked that he was able to interview Chris Ferguson, who won $1,000,000 in the World Series of Poker in 2000, shortly after earning his PhD from UCLA.

Tuesday, February 8, 2022
Perfect Number Generator
A perfect number is a positive integer which equals the sum
of all its divisors, excluding itself. The first perfect number is 6 since 6 =
1 + 2 + 3. The next perfect number is 28 since 28 = 1 + 2 + 4 + 7 + 14.
Over two thousand years ago, Euclid found a formula for
generating perfect numbers. The product of
(2p-1) and (2p-1) is a perfect number when p is a prime and
2p-1 is also a prime number. Many high prime numbers can be
found using the formula 2p-1, but the formula doesn’t always produce
prime numbers. When the formula does produce a prime number, it is called a Mersenne
prime named after the French Friar, Marin Mersenne (Marin Mersenne - Wikipedia).
The ancients knew of the first four perfect numbers: 6, 28, 496
and 8128. Through trial division, the list was confirmed with three additional
perfect numbers: 33550336, 8589869056 and 137438691328. In 1772 Euler found the eighth:
2305843008139952128 (with no modern computing aids). Euler also proved the
converse of Euclid’s original proof, that is even numbers are perfect if and
only if they can be expressed in the form (2p-1) (2p-1).
It is known that there are an infinite number of primes;
however, it is not known if there are an infinite number of Mersenne prime
numbers. As of this posting, there have been 51 confirmed Mersenne primes (the
largest has over 24 million digits). If one were able to prove the Mersenne
primes continue infinitely, then so would perfect numbers. The size of the
perfect number associated with the largest known Mersenne prime has over 49
million digits.
Here is a link to a spreadsheet
for calculating the first eight perfect numbers.

Tuesday, January 4, 2022
Math's True Source - Man or Nature?
The British Journal for the Philosophy of Science recently accepted for publication a manuscript by Sam Baron titled Mathematical Explanation: A Pythagorean Proposal. A summary of Baron's paper is given here: Pythagoras’ Revenge: Humans Didn’t Invent Mathematics, It’s What the Physical World Is Made Of (scitechdaily.com).
Baron proposes that our world has an inherent mathematical part in addition to its matter. In this framework, mathematics provides matter with its form while matter gives mathematics its substance.
I believe Baron's proposal is similar to Stephen Wolfram's proposal in A New Kind of Science.
A prior post in this blog wrote about the many examples of fractals found in nature.
Linking nature and mathematics is a common theme in teleological arguments for the existence of God. See prior post on Rev. Bayes.

Thursday, May 7, 2020
Georges Lemaître and the Big Bang

Wednesday, May 6, 2020
Thomas Bayes - an Attempt to Prove the Existence of God
Thomas Bayes was an eighteen-century Presbyterian minister and gifted statistician. Two of his publications, Divine Benevolence, or an Attempt to Prove That the Principal End of the Divine Providence and Government is the Happiness of His Creatures (1731), and An Essay towards solving a Problem in the Doctrine ofChances (1763), are examples of how he wanted to use his intellect to prove the existence of God. His attempts were unsuccessful, otherwise Thomas Bayes would be a known to all and not just to mathematicians. However, his devotion is honored as his approach was so rigorous that it established a new field of mathematics, now named Bayesian Statistics.
Our current world-wide Covid-19 crisis provides an example of how Bayesian Statistics is applied.
First, here is the nomenclature for revised probabilities:
P(A) Probability of Event A
P(B) Probability of Event B
P(A|B) Probability of A, given B is true
Fictitious Covid-19 problem
Suppose a test for Covid-19 is 95% effective in detecting the disease when present in a patient. The test gives a false positive result 10% of time when the disease is not present. Approximately 4% of the population has the disease. Given a positive test result, what is the probability that a patient actually has the disease.
The three facts stated above can be expressed as:
A. P(D) = .04 4% of the population has the disease, and therefore P(N)=.96 or 96% of population doesn’t have the disease.
B. P(Pos|D) = .95 The test gives a positive result 95% of the time when the disease is present
C. P(Pos|N) = .10 Given no disease, 10% of those tested will falsely test positive
Now, a typical question is: given a positive test result, what is the probability a patient actually has the disease? Using our nomenclature, we are looking for P(D|Pos) or probability of D, given Pos. We did have P(Pos|D) = .95, but that is different than P(D|Pos). In Bayesian terms, this question is called an inverse probability problem.
Bayes Theorem provides a formula for determining this revised probability, but I think it easier to express our known and unknown probabilities in a table. Our first given facts are pre-filled in the table.
|
Disease Present (D) |
No Disease (N) |
Total |
Positive Test result (Pos) |
.95 x .04 = .038 (Fact B) |
.10 x .96 = .096 (Fact C) |
|
Negative Test result |
|
|
|
Total |
.04 (Fact A) |
.96 |
|
All the remaining entries in the table can be determined by simple addition and subtraction. Adding across the top row, the total proportion of the population with Positive Test results is .038 + .096 = .134; the proportion with Negative Test results when the disease is present is .04 - .038 = .002; the proportion having a Negative Test result with no disease is .96 - .096 = .864; the total proportion having Negative test results is 1.00 - .134 = .866 and with that last item we can complete all the entries in the table.
|
Disease Present (D) |
No Disease (N) |
Total |
Positive Test result (Pos) |
.95 x .04 = .038 |
.10 x .96 = .096 |
.134 |
Negative Test result |
.04 - .038 = .02 |
.96 - .096 = .864 |
.866 |
Total |
.04 |
.96 |
1.00 |
For our question of the probability of the Disease being present, given a Positive test result, we just need to focus on the top row of the table representing different ways to have a Positive test result.
.038 will test Positive when they actually have the disease
.096 will test Positive when they don’t have the disease (from false positive results)
In
total, the proportion of the population that will have Positive results is .134
and of those .038 actually have the disease. Therefore, P(D|Pos) = .038/.134 =
.284 so only 28.4% of those with a Positive test result will actually have the
disease. This often strikes people as being too low. This is a common situation
of imperfect tests and is known as the Paradox of the False Positive. From the
table, we see that many more people had false positives than people who
actually have the disease. Even though many medical tests have this False Positive error, the tests are still helpful. In our example, a person testing positive has an increase risk level compared to the general population (28.4% vs 4%) so the positive result would justify further testing and enhanced precautionary measures.
Returning to Bayes' Theorem, the inverse probability is given by:
P(D|Pos) = P(Pos|D) x P(D) / P(Pos)
The table given above provides the same answer as the Bayes' Theorem equation.
Additional Sources on Bayes:
CornellBlog: https://blogs.cornell.edu/info2040/2018/11/28/bayes-theorem-and-the-existence-of-god/
DanKopk article on Bayes and Price: https://qz.com/1315731/the-most-important-formula-in-data-science-was-first-used-to-prove-the-existence-of-god/
Image details: Public Domain
- File:Michelangelo - Creation of Adam (cropped).jpg
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