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Geometric Group Theory
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== <span style="color: #FFFFFF;">Applying</span> == '''Modeling 'The Cayley Distance' (Distance in a Group):''' <syntaxhighlight lang="python"> def word_distance(start, target, generators): """ Finds the 'Word Metric' distance. How many operations are needed to reach the target? """ from collections import deque queue = deque([(start, 0)]) visited = {start} while queue: current, dist = queue.popleft() if current == target: return dist for g in generators: # Apply operation (e.g., adding a generator) new_val = (current + g) % 12 # Simple Cyclic Group Z12 if new_val not in visited: visited.add(new_val) queue.append((new_val, dist + 1)) return -1 # In a Clock (Z12), distance from 12 to 5 using only +1 steps print(f"Steps on a clock: {word_distance(0, 5, [1])}") </syntaxhighlight> ; GGT Landmarks : '''The Word Problem''' β The proof that for some groups, it is impossible for a computer to ever decide if two different sets of symbols represent the same element. : '''Gromov's Theorem''' β The famous proof that a group has "Polynomial Growth" if and only if it is "Virtually Nilpotent" (a deep algebraic property). : '''Property (T)''' β A geometric property of groups used to create "Expander Graphs," which are essential for building high-speed internet networks. : '''Automatic Groups''' β Groups whose operations are so simple they can be described by a finite computer program. </div> <div style="background-color: #8B4500; color: #FFFFFF; padding: 20px; border-radius: 8px; margin-bottom: 15px;">
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