Steinhaus-moser Notation

In mathematics, Moser's polygon notation is a means of expressing certain extremely large numbers. It is an extension of Steinhaus's polygon notation.
   
n in a triangle (a number n in a triangle) means nn n in a square (a number n in a square) is equivalent with "the number n inside n triangles, which are all nested" n in a pentagon (a number n in a pentagon) is equivalent with "the number n inside n squares, which are all nested" etc.: n written in an (m+1)-sided polygon is equivalent with "the number n inside n m-sided polygons, which are all nested" Steinhaus only defined the triangle, the square, and a circle n in a cicle, equivalent to the pentagon defined above. Steinhaus defined:
  • "mega" is the number equivalent to 2 in a circle: 2 in a circle
  • "megiston" is the number equivalent to 10 in a circle: 10 in a circle
Moser's number is the number represented by "2 in a megagon", where a "megagon" is a polygon with "mega" sides. Alternative notations:
  • use the functions square(x) and triangle(x)
  • let M(n,m,p) be the number represented by the number n in m nested p-sided polygons; then the rules are:
    • M(n,1,3) = n^n
    • M(n,1,p+1) = M(n,n,p)
    • M(n,m+1,p) = M\big(M(n,1,p),m,p\big)
and
    • mega = M(2,1,5)
    • moser = M\big(2,1,M(2,1,5)\big)

Mega

Note that 2 in a circle is already a very large number, since 2 in a circle = square(square(2)) = square(triangle(triangle(2))) = square(triangle(22)) = square(triangle(4)) = square(44) = square(256) = triangle(triangle(triangle(...triangle(256)...))) triangles = triangle(triangle(triangle(...triangle(256256)...))) triangles = triangle(triangle(triangle(...triangle(3.2 × 10616)...))) triangles = ... Using the other notation: mega = M(2,1,5) = M(256,256,3) With the function f(x)=x^x we have mega = f^{256}(256) = f^{258}(2) where the superscript denotes a functional power, not a numerical power. We have (note the convention that powers are evaluated from right to left):
  • M(256,2,3) = (256^{\,\!256})^{256^{256}}=256^{256^{257}}
  • M(256,3,3) = (256^{\,\!256^{257}})^{256^{256^{257}}}=256^{256^{257}\times 256^{256^{257}}}=256^{256^{257+256^{257}}}256^{\,\!256^{256^{257}}}
Similarly:
  • M(256,4,3) ≈ {\,\!256^{256^{256^{256^{257}}}}}
  • M(256,5,3) ≈ {\,\!256^{256^{256^{256^{256^{257}}}}}}
etc. Thus:
  • mega = M(256,256,3)\approx(256\uparrow)^{256}257, where (256\uparrow)^{256} denotes a functional power of the function f(n)=256^n.
Rounding more crudely (replacing the 257 at the end by 256), we get mega ≈ 256\uparrow\uparrow 257, using Knuth's up-arrow notation. Note that after the first few steps the value of n^n is each time approximately equal to 256^n. In fact, it is even approximately equal to 10^n (see also approximate arithmetic for very large numbers). Using base 10 powers we get:
  • M(256,1,3)\approx 3.23\times 10^{616}
  • M(256,2,3)\approx10^{\,\!1.99\times 10^{619}} (\log _{10} 616 is added to the 616)
  • M(256,3,3)\approx10^{\,\!10^{1.99\times 10^{619}}} (619 is added to the 1.99\times 10^{619}, which is negligible; therefore just a 10 is added at the bottom)
  • M(256,4,3)\approx10^{\,\!10^{10^{1.99\times 10^{619}}}}
...
  • mega = M(256,256,3)\approx(10\uparrow)^{255}1.99\times 10^{619}, where (10\uparrow)^{255} denotes a functional power of the function f(n)=10^n. Hence 10\uparrow\uparrow 257 < \mbox{mega} < 10\uparrow\uparrow 258

Moser's number

It has been proved that Moser's number, although extremely large, is smaller than Graham's number. Therefore, using the Conway chained arrow notation,
\mbox{moser} < 3\rightarrow 3\rightarrow 65\rightarrow 2

See also

External

 

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