In mathematics, the Whitney inequality gives an upper bound for the error of best approximation of a function by polynomials in terms of the moduli of smoothness. It was first proved by Hassler Whitney in 1957,[1] and is an important tool in the field of approximation theory for obtaining upper estimates on the errors of best approximation.
Statement of the theorem
Denote the value of the best uniform approximation of a function
by algebraic polynomials
of degree
by
![{\displaystyle E_{n}(f)_{[a,b]}:=\inf _{P_{n}}{\|f-P_{n}\|_{C([a,b])}}}](./fa8cc4172ca00865bb83151b025c1ec5e4342c22.svg)
The moduli of smoothness of order
of a function
are defined as:
![{\displaystyle \omega _{k}(t):=\omega _{k}(t;f;[a,b]):=\sup _{h\in [0,t]}\|\Delta _{h}^{k}(f;\cdot )\|_{C([a,b-kh])}\quad {\text{ for }}\quad t\in [0,(b-a)/k],}](./b828aed15d7487df9d4324ad041c8d4d611a65f9.svg)

where
is the finite difference of order
.
Theorem: [2] [Whitney, 1957] If
, then
![{\displaystyle E_{k-1}(f)_{[a,b]}\leq W_{k}\omega _{k}\left({\frac {b-a}{k}};f;[a,b]\right)}](./2ca3b957cd4c2f0a2dcb9a2998810dbba34d5485.svg)
where
is a constant depending only on
. The Whitney constant
is the smallest value of
for which the above inequality holds. The theorem is particularly useful when applied on intervals of small length, leading to good estimates on the error of spline approximation.
Proof
The original proof given by Whitney follows an analytic argument which utilizes the properties of moduli of smoothness. However, it can also be proved in a much shorter way using Peetre's K-functionals.[3]
Let:


![{\displaystyle \omega _{k}(t):=\omega _{k}(t;f;[a,b])\equiv \omega _{k}(t;g;[a,b])}](./1c87ca1c9713cc99c037fc8a33317d529e9cdea9.svg)
where
is the Lagrange polynomial for
at the nodes
.
Now fix some
and choose
for which
. Then:


Therefore:
![{\displaystyle |g(x)|\leq \int _{0}^{1}|\Delta _{t\delta }^{k}(g;x)|\,dt+{\frac {2}{|\delta |}}\|G\|_{C([a,b])}\sum _{j=1}^{k}{\binom {k}{j}}{\frac {1}{j}}\leq \omega _{k}(|\delta |)+{\frac {1}{|\delta |}}2^{k+1}\|G\|_{C([a,b])}}](./c7b81e9c2c9af5ff8eb2121948020ea247c35eec.svg)
And since we have
, (a property of moduli of smoothness)
![{\displaystyle E_{k-1}(f)_{[a,b]}\leq \|g\|_{C([a,b])}\leq \omega _{k}(|\delta |)+{\frac {1}{|\delta |}}h2^{k+1}\omega _{k}(h).}](./32435907192bd36e56d35b0c92e50f703c25cca3.svg)
Since
can always be chosen in such a way that
, this completes the proof.
Whitney constants and Sendov's conjecture
It is important to have sharp estimates of the Whitney constants. It is easily shown that
, and it was first proved by Burkill (1952) that
, who conjectured that
for all
. Whitney was also able to prove that [2]

and

In 1964, Brudnyi was able to obtain the estimate
, and in 1982, Sendov proved that
. Then, in 1985, Ivanov and Takev proved that
, and Binev proved that
. Sendov conjectured that
for all
, and in 1985 was able to prove that the Whitney constants are bounded above by an absolute constant, that is,
for all
. Kryakin, Gilewicz, and Shevchuk (2002)[4] were able to show that
for
, and that
for all
.
References
- ^ Hassler, Whitney (1957). "On Functions with Bounded nth Differences". J. Math. Pures Appl. 36 (IX): 67–95.
— (1992). "On functions with bounded nth differences". In Eells, J.; Toledo, D. (eds.). Hassler Whitney Collected Papers. Contemporary Mathematicians. Birkhäuser Boston. pp. 407–435. doi:10.1007/978-1-4612-2972-8_28. ISBN 978-1-4612-2972-8.
- ^ a b Dzyadyk, Vladislav K.; Shevchuk, Igor A. (2008). "3. On smoothness of functions §3.6". Theory of Uniform Approximation of Functions by Polynomials. de Gruyter. pp. 231–3. doi:10.1515/9783110208245.167. ISBN 978-3-11-020147-5. OCLC 560639251.
- ^ Devore, R.A.K.; Lorentz, G.G. (2010) [1993]. "6. K-Functionals and Interpolation Spaces §4 Two Theorems of Whitney: Theorem 4.2". Constructive Approximation. Grundlehren der mathematischen Wissenschaften. Vol. 303. Springer. pp. 183–. ISBN 978-3-642-08075-3. OCLC 1058163028.
- ^ Gilewicz, J.; Kryakin, Yu. V.; Shevchuk, I. A. (2002). "Boundedness by 3 of the Whitney Interpolation Constant". Journal of Approximation Theory. 119 (2): 271–290. doi:10.1006/jath.2002.3732.