The Frobenius Coin Problem with a Twist on Gaussian Integers Let S be the set of Gaussian integers of the form a+bi, where a and b are non-negative integers, and a+b≤100. Consider two "coin denominations" z 1 ​ =3+2i and z 2 ​ =2+5i. A Gaussian integer N=x+yi (where x,y are non-negative integers) is said to be "representable" if there exist non-negative integers c 1 ​ and c 2 ​ such that N=c 1 ​ z 1 ​ +c 2 ​ z 2 ​ . Now, let U be the set of all unrepresentable Gaussian integers N=x+yi (with x,y≥0) such that N∈S. The Question: Find the largest "norm" of an unrepresentable Gaussian integer in S. The norm of a Gaussian integer a+bi is defined as N(a+bi)=a 2 +b 2 . Determine the number of unrepresentable Gaussian integers in S whose real part is equal to their imaginary part (i.e., x=y). Why this is hard: Gaussian Integers: It moves beyond standard integers into a new ring, requiring understanding of their arithmetic and properties. Frobenius Coin Problem Extension: The classic Frobenius Coin Problem deals with integers. This extends it to Gaussian integers, making "representability" more complex. The concept of "largest unrepresentable" (Frobenius number) is tricky here due to the 2D nature. Constraints (a+b≤100): This adds a boundary condition that limits the search space but also requires careful consideration of what's within the set S. "Norm" as a measure: Finding the largest unrepresentable based on its norm, rather than just its real or imaginary part, adds another layer of complexity to the optimization. Specific structure of z 1 ​ and z 2 ​ : Their real and imaginary parts are relatively prime, but their complex nature means standard GCD arguments don't directly apply in the same way. Part 2 - Specific Subset: Focusing on x=y further narrows the problem, requiring a different approach to enumeration.

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