Math 2.0

Approximations and expansions Definition

Modulus of smoothness

Builds on Modulus of continuityLp spaceContinuous function

Definition

Let a<ba < b, let k≥1k \ge 1 be an integer, and let 1≤p≤∞1 \le p \le \infty. Let f∈Lp[a,b]f \in L^p[a, b], an Lp space element; for p=∞p = \infty let ff be continuous on [a,b][a, b]. For h>0h > 0, the kk-th forward difference of ff with step hh is Δhkf(x)=∑i=0k(−1)k−i(ki)f(x+ih),a≤x≤b−kh.\Delta_h^k f(x) = \sum_{i=0}^{k} (-1)^{k-i} \binom{k}{i} f(x + i h), \qquad a \le x \le b - k h. For 0<t≤(b−a)/k0 < t \le (b - a)/k, the modulus of smoothness of order kk of ff is ωk(f,t)p=sup⁡0<h≤t∥Δhkf∥Lp[a, b−kh].\omega_k(f, t)_p = \sup_{0 < h \le t} \norm{\Delta_h^k f}_{L^p[a, \, b - k h]}.

Remarks

Example: for f(x)=xf(x) = x on [0,1][0, 1] and p=∞p = \infty, one has Δh1f=h\Delta_h^1 f = h and Δh2f=0\Delta_h^2 f = 0, so ω1(f,t)∞=t\omega_1(f, t)_\infty = t and ω2(f,t)∞=0\omega_2(f, t)_\infty = 0.

Non-example: the norm of the difference at a single step is not a modulus of smoothness, because it need not grow with tt. For f(x)=sin⁡(2πx)f(x) = \sin(2 \pi x) on [0,2][0, 2] and p=∞p = \infty, one has Δ11f=0\Delta_1^1 f = 0 but ∥Δ1/21f∥∞=2\norm{\Delta_{1/2}^1 f}_\infty = 2; the supremum over 0<h≤t0 < h \le t is what makes ωk(f,⋅)p\omega_k(f, \cdot)_p nondecreasing.

For k=1k = 1 and p=∞p = \infty, ω1(f,t)∞\omega_1(f, t)_\infty is the modulus of continuity of ff. One has ωk(f,t)p→0\omega_k(f, t)_p \to 0 as t→0t \to 0, and ωk+1(f,t)p≤2ωk(f,t)p\omega_{k+1}(f, t)_p \le 2 \omega_k(f, t)_p.

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  1. Continuous function concept
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  3. Modulus of continuity concept
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Further reading

  1. Web https://en.wikipedia.org/wiki/Modulus_of_smoothness
About this page
Tag5V22013VEQ
URIm2://5V22013VEQ
Kinddefinition
WritingW0 stub
MSC41A25, 26A15, 41A17
DefinesModulus of smoothness
UsesModulus of continuity, Lp space, Continuous function

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