Champernowne constant 2026-10-14
Form Champernowne constant by using concatenation to join the decimal representations of the positive integers after the decimal point. Champernowne proved in 1933 that this particular real number is a normal number in base ten. The construction is striking because its rule is completely explicit, while all finite words have the prescribed limiting digit block frequencies. [ref] Copeland and Erdős explicitly recall this result at the start of their own paper. [ref]
The first digits of Champernowne constant have the following exact counts, in digit order :
For the adjacent pairs fully inside that prefix, the words occur times respectively. Thus, for example, , which is about , rather than . The prefix ends partway through the decimal representation of ; the many leading ones in earlier positive integers help explain the visible imbalance.
Figure 1.
Exact digit and adjacent-pair frequencies in two prefixes of 100000 decimal digits
. The upper panels compare single-digit frequencies and list exact counts. The lower panels show all hundred overlapping pair frequencies, each with denominator , on the same vertical scale. The dashed line is the limiting reference for a normal number in base ten. In the periodic prefix, pairs through occur times each and occurs times; all other pairs are absent. Details.
These are finite counts, not a proof of the normal number theorem: a finite prefix can be followed by an all-zero tail. The theorem for Champernowne constant concerns the infinite limit, and establishes base-ten normality, rather than absolute normality. Nor do computations prove normality for familiar constants: the normality of Pi and Euler's number remains unproved, as discussed by Bailey and Borwein. [ref]
Normality and equidistribution under integer multiplication Created 2026-10-05 Updated 2026-10-14
A real number is a normal number in base exactly when its iterates under the integer multiplication map on the circle, , form an equidistributed sequence. Braces denote the fractional part. Multiplication by shifts the positional notation one digit to the left:
A length- word with base- integer value specifies the half-open interval , whose length is . Visiting that interval is exactly encountering that word at the next digit position. These digit intervals form arbitrarily fine grids, so their correct limiting visiting frequencies imply equidistribution on every interval. This converts a question about digits into one about a dynamical system. Bailey and Crandall develop this connection using equidistribution of the fractional parts of . [ref]
In base ten the word corresponds to . For Champernowne constant, counting the visits for gives precisely the occurrences of in its first digits. For , the base-two integer multiplication map on the circle instead alternates between and ; it never visits , the interval for . This two-point orbit is not an equidistributed sequence.
Normal number Created 2026-10-05 Updated 2026-10-13
A real number is normal in an integer base when every finite word of digits occurs in its positional notation with the same limiting digit block frequency as every other word of the same length. Write its fractional part as in base , using the expansion that is not eventually all digits when two expansions are possible. For every length and every word , the requirement is
Occurrences overlap: the word occurs twice in . There are possible words of length , so is the equal share for each. In a decimal representation, this means frequency for each digit, for each pair, and for each triple, continuing through every finite length. The definition agrees with that used by Copeland and Erdős in their work on explicit normal numbers. [ref]
The appeal is that a precise, deterministic real number can have the same limiting digit block frequencies as repeated draws from a uniform distribution on a finite set, with independence between draws. Champernowne constant is an explicit example. Normality is useful for studying digit distribution, but balanced digits alone establish only a simply normal number, and a finite sample cannot establish any of these infinite limits.
Émile Borel introduced normal numbers and established their prevalence in his 1909 paper applying probability to number theory; the stronger all-base statement is discussed under absolutely normal number. [ref]