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What does this mean: ##f(t) \ll_\epsilon (g(t))^\epsilon## ?
Ref: Beginning of the introduction here.
Ref: Beginning of the introduction here.
Double less-than sign
The double less-than sign, <<, may be used for an approximation of the much-less-than sign (≪) or of the opening guillemet («). ASCII does not encode either of these signs, though they are both included in Unicode.
Other consequences
Denoting by pn the n-th prime number, a result by Albert Ingham shows that the Lindelöf hypothesis implies that, for any ε > 0,
if n is sufficiently large. However, this result is much worse than that of the large prime gap conjecture.
jedishrfu said:I couldn't access the researchgate link as it may be a paywall.
Let s=σ+it be a complex variable and ζ(s)the Riemann zeta-function. The classical Lindelof hypothesis asserts that ##\zeta(\sigma+it) \ll_\epsilon (1+|t|)^\epsilon## for every positive ##\epsilon##.
I've never seem that notation before and I don't know what it, ##\ll_\epsilon##, means. The Wikipedia page, https://en.wikipedia.org/wiki/Lindelöf_hypothesis, says something different.Let s=σ+it be a complex variable and ζ(s)the Riemann zeta-function. The classical Lindelof hypothesis asserts that ##\zeta(\sigma+it) \ll_\epsilon (1+|t|)^\epsilon## for every positive ##\epsilon##.
Yes, in most cases. The inequality ##\epsilon>0## is almost universally meant to convey the idea the ##\epsilon## is a small, positive number.Swamp Thing said:Another quick question: When we read "for ##\epsilon>0## ", does it imply ##\epsilon<1## even if that's not stated?
This doesn't make any sense. The "big O" business is applied to some function; e.g., O(f(x)).Swamp Thing said:I mean specifically when talking about big-O to the power of ##\epsilon## ?.
Sorry, that was sloppy language. I meant big-O applied to some f(x) that involves something raised to ##\epsilon##Mark44 said:This doesn't make any sense. The "big O" business is applied to some function; e.g., O(f(x)).
In mathematical notation, f(t) subscripted to g(t) epsilon typically indicates a function f that is parameterized by another function g, with epsilon representing a small perturbation or error term. This notation is often used in contexts like asymptotic analysis or perturbation theory, where g(t) influences the behavior of f(t) in a specific way.
In calculus, this notation might be used to describe a function that is defined in terms of another function, particularly when analyzing limits or continuity. For instance, it can represent how f(t) behaves as t approaches a certain value influenced by g(t) and a small perturbation epsilon.
Yes, this notation can be applied in various real-world scenarios, such as physics and engineering, where one function's behavior is influenced by another. For example, in control systems, f(t) could represent a system's output, while g(t) could represent input signals, with epsilon accounting for noise or uncertainties in the system.
In physics, you might encounter this notation in the context of differential equations modeling dynamic systems. For example, if f(t) represents the position of a particle and g(t) represents a varying force applied to it, then f(t) subscripted to g(t) epsilon can illustrate how small fluctuations in the applied force affect the particle's motion.
Yes, there is a difference. The notation f(t) subscripted to g(t) epsilon suggests a more complex relationship where f is dependent on g and the perturbation epsilon, while f(t) = g(t) + epsilon indicates a direct addition of the perturbation to g. The subscripted notation implies a deeper functional relationship rather than a simple arithmetic operation.