cp's OEIS Frontend

This is a front-end for the Online Encyclopedia of Integer Sequences, made by Christian Perfect. The idea is to provide OEIS entries in non-ancient HTML, and then to think about how they're presented visually. The source code is on GitHub.

A288346 Median of 2^X + 2^Y where X and Y are independent random variables with B(n,1/2) distributions.

Original entry on oeis.org

3, 4, 6, 9, 12, 20, 24, 40, 64, 80, 128, 160, 256, 320, 528, 768, 1088, 1536, 2176, 3072, 4352, 6144, 9216, 12288, 18432, 32768, 36864, 65536, 73728, 131072, 163840, 264192, 327680, 532480, 655360, 1064960, 1310720, 2162688, 2621440, 4325376, 6291456, 8650752
Offset: 1

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Author

Matt Frank, Jun 08 2017

Keywords

Comments

Interpretation: Start with a portfolio of stocks A and B each worth $1, and flip a pair of coins. Stock A doubles if the first coin is heads and otherwise stays constant. Stock B doubles if the second coin is heads and otherwise stays constant. This sequence gives your median portfolio value after n pairs of coin flips.
Although a median of integers can be a half-integer, as an empirical observation only integers appear in this sequence.
The mean of 2^X + 2^Y is 2(3/2)^n.

Crossrefs

Cf. A288347, A288416, which are additive rather than multiplicative.

Programs

  • Maple
    f:= proc(n)
    local PX, i, pt, j;
    for i from 0 to n do PX[i]:= binomial(n,i)/2^n od:
    pt:= 0:
    for j from 0 while pt^2 < 1/2 do pt:= pt + PX[j] od:
    j:= j-1:
    pt:= (pt-PX[j])^2:
    for i from 0 do
      pt:= pt + 2*PX[j]*PX[i];
      if pt = 1/2 then error("Probability 1/2 for i=%1 j=%2",i,j) fi;
      if pt > 1/2 then return(2^i + 2^j) fi
    od:
    end proc:
    map(f, [$1..60]); # Robert Israel, Jun 21 2017
  • Mathematica
    TwoToThe[x_] := 2^x;
    WeightsMatrix[n_] := Table[Binomial[n, i] Binomial[n, j], {i, 0, n}, {j, 0, n}]/2^(2 n);
    ValuesMatrix[n_, f_] := Table[f[i] + f[j], {i, 0, n}, {j, 0, n}];
    Distribution[n_, f_] := EmpiricalDistribution[Flatten[WeightsMatrix[n]] -> Flatten[ValuesMatrix[n, f]]];
    NewMedian[n_, f_] := Mean[Quantile[Distribution[n, f], {1/2, 1/2 + 1/2^(2 n)}]];
    Table[NewMedian[n, TwoToThe], {n, 42}]