%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function res=ratio(nsim);
res=zeros(1,nsim);
for i=(1:nsim)
res(i)=(prod(1:i))/(i^i);
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Output from ratio for 10 first integers:
>> ratio(10)
ans =
Columns 1 through 7
1.0000 0.5000 0.2222 0.0938 0.0384 0.0154 0.0061
Columns 8 through 10
0.0024 0.0009 0.0004
%These become extremely small, so we consider
%the logs to see what is happening
>> log(ratio(100))
ans =
Columns 1 through 7
0 -0.6931 -1.5041 -2.3671 -3.2597 -4.1713 -5.0962
Columns 8 through 14
-6.0309 -6.9732 -7.9214 -8.8745 -9.8317 -10.7922 -11.7556
Columns 15 through 21
-12.7215 -13.6896 -14.6596 -15.6312 -16.6045 -17.5790 -18.5548
Columns 22 through 28
-19.5318 -20.5097 -21.4886 -22.4683 -23.4488 -24.4301 -25.4120
Columns 29 through 35
-26.3945 -27.3777 -28.3614 -29.3456 -30.3303 -31.3154 -32.3010
Columns 36 through 42
-33.2870 -34.2734 -35.2601 -36.2471 -37.2345 -38.2222 -39.2102
Columns 43 through 49
-40.1985 -41.1871 -42.1759 -43.1649 -44.1542 -45.1437 -46.1335
Columns 50 through 56
-47.1234 -48.1135 -49.1038 -50.0943 -51.0850 -52.0759 -53.0669
Columns 57 through 63
-54.0581 -55.0494 -56.0409 -57.0325 -58.0243 -59.0162 -60.0082
Columns 64 through 70
-61.0003 -61.9926 -62.9850 -63.9775 -64.9701 -65.9628 -66.9556
Columns 71 through 77
-67.9485 -68.9416 -69.9347 -70.9279 -71.9212 -72.9146 -73.9081
Columns 78 through 84
-74.9016 -75.8953 -76.8890 -77.8828 -78.8767 -79.8706 -80.8647
Columns 85 through 91
-81.8588 -82.8529 -83.8471 -84.8414 -85.8358 -86.8302 -87.8247
Columns 92 through 98
-88.8193 -89.8139 -90.8085 -91.8032 -92.7980 -93.7928 -94.7877
Columns 99 through 100
-95.7827 -96.7776
%There seems to be a linear dependence on $n$ here,
%we try dividing by n at each step:
>> log(ratio(100))./(1:100)
ans =
Columns 1 through 7
0 -0.3466 -0.5014 -0.5918 -0.6519 -0.6952 -0.7280
Columns 8 through 14
-0.7539 -0.7748 -0.7921 -0.8068 -0.8193 -0.8302 -0.8397
Columns 15 through 21
-0.8481 -0.8556 -0.8623 -0.8684 -0.8739 -0.8790 -0.8836
Columns 22 through 28
-0.8878 -0.8917 -0.8954 -0.8987 -0.9019 -0.9048 -0.9076
Columns 29 through 35
-0.9102 -0.9126 -0.9149 -0.9170 -0.9191 -0.9210 -0.9229
Columns 36 through 42
-0.9246 -0.9263 -0.9279 -0.9294 -0.9309 -0.9322 -0.9336
Columns 43 through 49
-0.9348 -0.9361 -0.9372 -0.9384 -0.9395 -0.9405 -0.9415
Columns 50 through 56
-0.9425 -0.9434 -0.9443 -0.9452 -0.9460 -0.9468 -0.9476
Columns 57 through 63
-0.9484 -0.9491 -0.9498 -0.9505 -0.9512 -0.9519 -0.9525
Columns 64 through 70
-0.9531 -0.9537 -0.9543 -0.9549 -0.9554 -0.9560 -0.9565
Columns 71 through 77
-0.9570 -0.9575 -0.9580 -0.9585 -0.9589 -0.9594 -0.9598
Columns 78 through 84
-0.9603 -0.9607 -0.9611 -0.9615 -0.9619 -0.9623 -0.9627
Columns 85 through 91
-0.9630 -0.9634 -0.9638 -0.9641 -0.9644 -0.9648 -0.9651
Columns 92 through 98
-0.9654 -0.9657 -0.9660 -0.9663 -0.9666 -0.9669 -0.9672
Columns 99 through 100
-0.9675 -0.9678
%Looks like this tends to -1, (roughly)
This means:
In fact there is a term in n left because the ratio of this
approximation to n! still increases (in fact like
.
The true approximation is given by Stirling's formula which uses the notion of asymptotically equivalent.
Definition:
Two sequences ak and bk are said to
be asymptotically equivalent if
Theorem 1:(Stirling's Formula)
Factorial n is asymptotically equivalent to
the sequence defined as:
.
Here is the file stirling.m:
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function res=stirling(nsim)
res=zeros(1,nsim);
for i=(1:nsim)
res(i)=(i/exp(1))^i*i^(1/2)*sqrt(2*pi)/prod(1:i);
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
This gives the following series of ratios showing that
the approximation gets progressively better:
>> stirling(100)
ans =
Columns 1 through 7
0.9221 0.9595 0.9727 0.9794 0.9835 0.9862 0.9882
Columns 8 through 14
0.9896 0.9908 0.9917 0.9925 0.9931 0.9936 0.9941
Columns 15 through 21
0.9945 0.9948 0.9951 0.9954 0.9956 0.9958 0.9960
Columns 22 through 28
0.9962 0.9964 0.9965 0.9967 0.9968 0.9969 0.9970
Columns 29 through 35
0.9971 0.9972 0.9973 0.9974 0.9975 0.9976 0.9976
Columns 36 through 42
0.9977 0.9978 0.9978 0.9979 0.9979 0.9980 0.9980
Columns 43 through 49
0.9981 0.9981 0.9981 0.9982 0.9982 0.9983 0.9983
Columns 50 through 56
0.9983 0.9984 0.9984 0.9984 0.9985 0.9985 0.9985
Columns 57 through 63
0.9985 0.9986 0.9986 0.9986 0.9986 0.9987 0.9987
Columns 64 through 70
0.9987 0.9987 0.9987 0.9988 0.9988 0.9988 0.9988
Columns 71 through 77
0.9988 0.9988 0.9989 0.9989 0.9989 0.9989 0.9989
Columns 78 through 84
0.9989 0.9989 0.9990 0.9990 0.9990 0.9990 0.9990
Columns 85 through 91
0.9990 0.9990 0.9990 0.9991 0.9991 0.9991 0.9991
Columns 92 through 98
0.9991 0.9991 0.9991 0.9991 0.9991 0.9991 0.9992
Columns 99 through 100
0.9992 0.9992