Using a for loop to count the digits of pi
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If the digits of π were random, then we would expect each of the integers
to occur with approximately equal frequency in the decimal representation of π. In this problem we are going to see if the digits of π do indeed appear to be random.
The first line of your script stores the first 100 digits of π in the vector pi_digits.
- Create a
vector f50 such that f50(i) is equal to the frequency with which the integer i-1 appears among the first 50 digits of π. - Replicate it for f100.
I have the following code:
pi_digits=[3 1 4 1 5 9 2 6 5 3 5 8 9 7 9 3 2 3 8 4 6 2 6 4 3 3 8 3 2 7 9 5 0 2 8 8 4 1 9 7 1 6 9 3 9 9 3 7 5 1 0 5 8 2 0 9 7 4 9 4 4 5 9 2 3 0 7 8 1 6 4 0 6 2 8 6 2 0 8 9 9 8 6 2 8 0 3 4 8 2 5 3 4 2 1 1 7 0 6 7];
f50=zeros(1,10);
for i=0:9
f50(i+1)=sum(pi_digits(1:50)==i)
end
f100=zeros(1,10);
for i=0:9
f100(i+1)=sum(pi_digits(1:100)==i)
end
the output returns the correct frequency vector, yet I get an error that it is the incorrect value.
15 个评论
回答(2 个)
Daniel
2023-10-6
MA207?
need to divide f50 by 50 and f100 by 100.
apparently it wants the answer to be in decimal.
2 个评论
Walter Roberson
2023-10-6
Ah, the original Question does ask about "frequency" rather than about counts, so I can see why they might normalize by the number of entries.
Sam Chak
2023-10-4
Hi @Martin
Please try comparing the histogram with yours.
num2str(pi, 1000);
digits(100); % show 100 digits of π
numPi = vpa(pi)
c = char(numPi);
% Find the decimal point:
pos = strfind(c, '.')
% Begin to count after the decimal point
d = arrayfun(@str2num, c(pos+1:end));
% Plot the histogram for comparing with your Answer in MATLAB Grader
histogram(d, 10);
xt = linspace(0.5, 8.6, 10);
xticks(xt);
xticklabels({'0', '1', '2', '3', '4', '5', '6', '7', '8', '9'})
xlabel('Decimal Digit')
ylabel('Frequency')
title('Distribution of the digits of \pi');
3 个评论
Stephen23
2023-10-4
编辑:Stephen23
2023-10-4
Another approach using 1000 digits from https://pi2e.ch/blog/2017/03/10/pi-digits-download/
T = '31415926535897932384626433832795028841971693993751058209749445923078164062862089986280348253421170679821480865132823066470938446095505822317253594081284811174502841027019385211055596446229489549303819644288109756659334461284756482337867831652712019091456485669234603486104543266482133936072602491412737245870066063155881748815209209628292540917153643678925903600113305305488204665213841469519415116094330572703657595919530921861173819326117931051185480744623799627495673518857527248912279381830119491298336733624406566430860213949463952247371907021798609437027705392171762931767523846748184676694051320005681271452635608277857713427577896091736371787214684409012249534301465495853710507922796892589235420199561121290219608640344181598136297747713099605187072113499999983729780499510597317328160963185950244594553469083026425223082533446850352619311881710100031378387528865875332083814206171776691473035982534904287554687311595628638823537875937519577818577805321712268066130019278766111959092164201989';
histogram(T(1:100)-'0',0:10)
Confirming a few random digits:
nnz(T(1:100)=='0')
nnz(T(1:100)=='6')
nnz(T(1:100)=='9')
另请参阅
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