Math Problem Statement

Question 4

Let 𝑛=1152921504606846987n=1152921504606846987. If we compute (π‘›π‘˜)mod  2(kn​)mod2 for π‘˜=0…7k=0…7, which sequence do we get?

Solution

To solve the problem of computing ((nk))mod  2( \binom{n}{k} ) \mod 2 for k=0k = 0 to k=7k = 7, where n=1152921504606846987n = 1152921504606846987, we need to use Lucas' theorem.

Lucas' Theorem

Lucas' theorem provides a way to compute binomial coefficients modulo a prime number. For a prime pp and non-negative integers nn and kk, the binomial coefficient (nk)mod  p\binom{n}{k} \mod p can be computed using the base-pp representation of nn and kk.

If nn and kk are represented in base pp as: n=n0+n1p+n2p2+β‹―+nmpmn = n_0 + n_1 p + n_2 p^2 + \cdots + n_m p^m k=k0+k1p+k2p2+β‹―+kmpmk = k_0 + k_1 p + k_2 p^2 + \cdots + k_m p^m where 0≀ni,ki<p0 \leq n_i, k_i < p, then: (nk)β‰‘βˆi=0m(niki)mod  p\binom{n}{k} \equiv \prod_{i=0}^{m} \binom{n_i}{k_i} \mod p

Application to the Problem

Here, p=2p = 2, and we need to compute ((nk))mod  2( \binom{n}{k} ) \mod 2 for k=0,1,2,…,7k = 0, 1, 2, \ldots, 7.

First, let's convert nn and kk to their binary (base-2) representation. The binary representation of n=1152921504606846987n = 1152921504606846987 is: n=100000000000000000000000000000000000000000000000000011n = 100000000000000000000000000000000000000000000000000011

Now, consider k=0,1,2,…,7k = 0, 1, 2, \ldots, 7 in binary:

  • k=0k = 0: 00
  • k=1k = 1: 11
  • k=2k = 2: 1010
  • k=3k = 3: 1111
  • k=4k = 4: 100100
  • k=5k = 5: 101101
  • k=6k = 6: 110110
  • k=7k = 7: 111111

Applying Lucas' Theorem

For each kk, we use the binary digits of nn and kk to determine (niki)mod  2\binom{n_i}{k_i} \mod 2.

  • If any ki>nik_i > n_i, then (niki)=0\binom{n_i}{k_i} = 0 because you cannot choose more elements than available.
  • If ki≀nik_i \leq n_i, then (niki)mod  2=1\binom{n_i}{k_i} \mod 2 = 1 if ki=0k_i = 0 or ki=1k_i = 1.

Let's analyze each kk:

  1. k=0k = 0: (n0)mod  2=1\binom{n}{0} \mod 2 = 1

  2. k=1k = 1: (n1)mod  2=1\binom{n}{1} \mod 2 = 1

  3. k=2k = 2: \binom{n}{2} \mod 2 = 0 \quad \text{(since 2hasmorethanonebitsetandcorrespondingbitsinhas more than one bit set and corresponding bits inn are 0)}

  4. k=3k = 3: (n3)mod  2=0(same reasoning as above)\binom{n}{3} \mod 2 = 0 \quad \text{(same reasoning as above)}

  5. k=4k = 4: (n4)mod  2=0(same reasoning as above)\binom{n}{4} \mod 2 = 0 \quad \text{(same reasoning as above)}

  6. k=5k = 5: (n5)mod  2=0(same reasoning as above)\binom{n}{5} \mod 2 = 0 \quad \text{(same reasoning as above)}

  7. k=6k = 6: (n6)mod  2=0(same reasoning as above)\binom{n}{6} \mod 2 = 0 \quad \text{(same reasoning as above)}

  8. k=7k = 7: (n7)mod  2=0(same reasoning as above)\binom{n}{7} \mod 2 = 0 \quad \text{(same reasoning as above)}

Conclusion

The sequence ((nk)mod  2)( \binom{n}{k} \mod 2 ) for k=0,1,2,3,4,5,6,7k = 0, 1, 2, 3, 4, 5, 6, 7 is: 1,1,0,0,0,0,0,01, 1, 0, 0, 0, 0, 0, 0

Would you like more details or have any other questions?

Here are some other questions you might consider:

  1. How do you derive Lucas' theorem?
  2. What are some applications of binomial coefficients in combinatorics?
  3. How can you compute large binomial coefficients efficiently?
  4. What are other prime modulus properties in binomial coefficients?
  5. Can Lucas' theorem be generalized for non-prime moduli?

Tip: Always convert large numbers to their binary representation when dealing with modulo 22 operations, as it simplifies the problem significantly.

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Math Problem Analysis

Mathematical Concepts

Combinatorics
Binomial Coefficients
Modular Arithmetic

Formulas

Lucas' Theorem

Theorems

Lucas' Theorem

Suitable Grade Level

Advanced Mathematics