Theta and lower asymptotic bounds
For eventually nonnegative costs f,g, f=Θ(g) means c₁g(n)≤f(n)≤c₂g(n) for all sufficiently large n and constants c₁,c₂>0.
Key knowledge
For eventually nonnegative costs f,g, f=Θ(g) means c₁g(n)≤f(n)≤c₂g(n) for all sufficiently large n and constants c₁,c₂>0. The lower inequality alone defines f=Ω(g), and the upper defines f=O(g).
Conditions and scope
- Constants do not depend on n.
- A lower bound for one algorithm is not automatically a lower bound for every algorithm solving the problem.
Sources · 1
References
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Evidence and review
NIST Theta formal two-sided definition; separate upper/lower inequalities unpacked.
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Entry details
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- info-tight-asymptotic-bounds
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- university-core.1
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- University core expansion