Because of some frustration and claims of unsolvable levels we took screen shots of solutions for every level. We understand that sometimes it nice just to know what to expect from some of these tricky levels.

Next week we will publish our interview with Bryan Mitchell, the developer of Geared, and share with you some other games and diversions he is currently working on.

Levels 1-16 Geared Lite v1.3 (FREE Version) Screen Shots and explanations.

Levels 1-20 (Easy) Screen Shots

Levels 21-60 (Medium) Screen Shots

Levels 61-80 (Hard) Screen Shots

The palindromic number 595 is interesting because it can be written as the sum of consecutive squares: 6² + 7² + 8² + 9² + 10² + 11² + 12².

There are exactly eleven palindromes below one-thousand that can be written as consecutive square sums, and the sum of these palindromes is 4164. Note that 1 = 0² + 1² has not been included as this problem is concerned with the squares of positive integers.

Find the sum of all the numbers less than 10⁸ that are both palindromic and can be written as the sum of consecutive squares.

Analysis

To solve this problem requires a simple search to the square root of the limit (10⁸) or 5,000. We use a set to eliminate duplicate sum-of-squares.

Solution

Runs < 1 second in Python.

from Euler import is_palindromic
 
limit = 10**8
sqrt_limit = int(limit**.5)
pal = set()
 
for i in range(1, sqrt_limit):
  sos = i*i
  for j in range(i+1, sqrt_limit):
    sos += j*j
    if sos>=limit: break
    if is_palindromic(sos): pal.add(sos)
 
print "Answer to PE125 = ", sum(pal), len(pal)

Comments

• More information on the Euler module can be found on the tools page.
• Takes 371,234 iterations.
• The second number printed is the size of the set.

A number consisting entirely of ones is called a repunit. We shall define R(k) to be a repunit of length k; for example, R(6) = 111111.

Let us consider repunits of the form R(10ⁿ).

Although R(10), R(100), or R(1000) are not divisible by 17, R(10000) is divisible by 17. Yet there is no value of n for which R(10ⁿ) will divide by 19. In fact, it is remarkable that 11, 17, 41, and 73 are only four primes below one-hundred that can ever be a factor of R(10ⁿ).

Find the sum of all the primes below one-hundred thousand that will never be a factor of R(10ⁿ).

Analysis

This is a modified solution from problem 132. Really all we’re doing is finding the prime factors of a very large R(n) using the Python modulus power function. We sum only those primes which are not factors.

Solution

Runs < 3 seconds in Python.

from Euler import is_prime
 
limit, q, s = 100000, pow(10, 50), 5
for p in xrange(5, limit, 2):
  if is_prime(p) and pow(10, q, p) != 1: s += p
 
print "Answer to PE133 = ", s

Comments

More information on the Euler module can be found on the tools page.

A number consisting entirely of ones is called a repunit. We shall define R(k) to be a repunit of length k.

For example, R(10) = 1111111111 = 11×41×271×9091, and the sum of these prime factors is 9414.

Find the sum of the first forty prime factors of R(10⁹).

Analysis

Another quick solution using the modulus power function to find the prime factors of a large repunit, r(10⁹).

Solution

Runs < 2 seconds in Python. Made some simple clarifications 3/17/10.

from Euler import is_prime
 
s = set()
n, q = 7, 10**9
while len(s) < 40:
  if is_prime(n) and pow(10, q, n) == 1: s.add(n)
  n += 2
 
print "Answer to PE132 = ", sum(s)

Comments

More information on the Euler module can be found on the tools page.

Here’s the first 40 prime factors: [11, 17, 41, 73, 101, 137, 251, 257, 271, 353, 401, 449, 641, 751, 1201, 1409, 1601, 3541, 4001, 4801, 5051, 9091, 10753, 15361, 16001, 19841, 21001, 21401, 24001, 25601, 27961, 37501, 40961, 43201, 60101, 62501, 69857, 76001, 76801, 160001]

A number consisting entirely of ones is called a repunit. We shall define R(k) to be a repunit of length k; for example, R(6) = 111111.

Given that n is a positive integer and GCD(n, 10) = 1, it can be shown that there always exists a value, k, for which R(k) is divisible by n, and let A(n) be the least such value of k; for example, A(7) = 6 and A(41) = 5.

You are given that for all primes, p > 5, that p minus 1 is divisible by A(p). For example, when p = 41, A(41) = 5, and 40 is divisible by 5.

However, there are rare composite values for which this is also true; the first five examples being 91, 259, 451, 481, and 703.

Find the sum of the first twenty-five composite values of n for which
GCD(n, 10) = 1 and n − 1 is divisible by A(n).

Analysis

We started with the given information and added to it by simply checking which composite values of n-1 were divisible by A(n). The problems 129, 130, 132 and 133 were all solved with recreation in mind so not a lot of thought transpired. Compared to some solutions these do appear to be slower but simpler to understand.

Solution

Runs < 3 seconds in Python.

from Euler import is_prime, gcd
 
def A(n):
  if is_prime(n) or gcd(n, 10) != 1: return None
  x, k = 1, 1
  while x != 0:
    x = (x*10+1) % n
    k += 1
  return k
 
s = [91, 259, 451, 481, 703]
n = s[-1]
while len(s)< 25:
  n += 2
  an = A(n)
  if an != None and (n-1) % an == 0: 
    s.append(n)
 
print "Answer to PE130 = ", sum(s)

Comments

More information on the Euler module can be found on the tools page.

A number consisting entirely of ones is called a repunit. We shall define R(k) to be a repunit of length k; for example, R(6) = 111111.

Given that n is a positive integer and GCD(n, 10) = 1, it can be shown that there always exists a value, k, for which R(k) is divisible by n, and let A(n) be the least such value of k; for example, A(7) = 6 and A(41) = 5.

The least value of n for which A(n) first exceeds ten is 17.

Find the least value of n for which A(n) first exceeds one-million.

Analysis

This was an obvious solution to the problem. Still not sure about the relevance of repunits so we just took the recreational approach and created a set of solutions that are easy to follow.

Solution

Runs < 2 seconds in Python.

from Euler import is_prime, gcd
 
def A(n):
  if is_prime(n) or gcd(n, 10) != 1: return None
  x, k = 1, 1
  while x != 0:
    x = (x*10+1) % n
    k += 1
  return k
 
limit = 1000001
n = limit
while A(n)<limit: n += 2
 
print "Answer to PE129 = ", n

Comments

More information on the Euler module can be found on the tools page.

Working from left-to-right if no digit is exceeded by the digit to its left it is called an increasing number; for example, 134468.

Similarly if no digit is exceeded by the digit to its right it is called a decreasing number; for example, 66420.

We shall call a positive integer that is neither increasing nor decreasing a "bouncy" number; for example, 155349.

As n increases, the proportion of bouncy numbers below n increases such that there are only 12951 numbers below one-million that are not bouncy and only 277032 non-bouncy numbers below 10¹⁰.

How many numbers below a googol (10¹⁰⁰) are not bouncy?

Analysis

Whenever a problem asks for the number of elements in a set, as does this one, then the solution in typically a counting problem solved with combinometrics.

Our solution uses the general formula that counts the monotonically increasing/decreasing digits ignoring leading zeros.

Solution

Runs < 1 second in Python.

from Euler import binomial
 
n=100
print binomial(n+10,10) + binomial(n+9,9) - 10*n - 2

Comments

More information on the Euler module can be found on the tools page.

Working from left-to-right if no digit is exceeded by the digit to its left it is called an increasing number; for example, 134468.

Similarly if no digit is exceeded by the digit to its right it is called a decreasing number; for example, 66420.

We shall call a positive integer that is neither increasing nor decreasing a "bouncy" number; for example, 155349.

Clearly there cannot be any bouncy numbers below one-hundred, but just over half of the numbers below one-thousand (525) are bouncy. In fact, the least number for which the proportion of bouncy numbers first reaches 50% is 538.

Surprisingly, bouncy numbers become more and more common and by the time we reach 21780 the proportion of bouncy numbers is equal to 90%.

Find the least number for which the proportion of bouncy numbers is exactly 99%.

Analysis

It was a surprise how long this program took to run. The is_bouncy() routine seemed to slow things down. We begin at the 90% point specified in the problem description and wait for the ratio to hit 99%.

Solution

Runs < 7 seconds in Python.

def is_bouncy(n):
  inc, dec, s = False, False, str(n)
  for i in range(len(s)-1):
    if s[i+1] > s[i]: inc = True
    elif s[i+1] < s[i]: dec = True
    if inc and dec: return True
  return False
 
n, p = 21780, 0.90
b = n * p
while p != 0.99:
  n += 1
  if is_bouncy(n): b += 1
  p = float(b)/n
 
print "Answer to PE112 = ", n

Comments

The float() function was required to convert to floating point.