Symbol n
n is part of the quantity the equation computes from the expression on the right.
Read this term in its guide →Published equation contexts
Because a genuine tensor decomposition composes with itself, the rank number converts directly into an asymptotic cost exponent, and DeepMind’s own paper does not spell out what that conversion yields — this is the article’s own arithmetic, shown rather than asserted. Applying Strassen’s 2×2 trick twice to reach 4×4 gives an algorithm whose cost scales as ; applying it k times to reach a 2^k 2^k matrix costs 7^k multiplications for n = 2^k , the same exponent however you slice the recursion. A genuine rank-48 4×4 decomposition, applied the same way, would scale as instead:
n is part of the quantity the equation computes from the expression on the right.
Read this term in its guide →k is an input to the expression that computes the quantity on the left.
Read this term in its guide →Read it with the definitions, units, and assumptions supplied by the article.
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Equation 4 · Technological Evolution
This equation states an equality: the expressions on both sides have the same value under the article’s assumptions.
Because a genuine tensor decomposition composes with itself, the rank number converts directly into an asymptotic cost exponent, and DeepMind’s own paper does not spell out what that conversion yields — this is the article’s own arithmetic, shown rather than asserted. Applying Strassen’s 2×2 trick twice to reach 4×4 gives an algorithm whose cost scales as ; applying it k times to reach a 2^k 2^k matrix costs 7^k multiplications for n = 2^k , the same exponent however you slice the recursion. A genuine rank-48 4×4 decomposition, applied the same way, would scale as instead:
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