1992
DOI: 10.1016/0021-9045(92)90001-5
|View full text |Cite
|
Sign up to set email alerts
|

Dimension and geometry of sets defined by polynomial inequalities

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
4
0

Year Published

1994
1994
2012
2012

Publication Types

Select...
6

Relationship

1
5

Authors

Journals

citations
Cited by 8 publications
(4 citation statements)
references
References 10 publications
0
4
0
Order By: Relevance
“…On the other hand, L M I (1) implies the uniform perfectness. Let us also mention that uniform perfect sets in R N have positive Hausdorff dimension ( [25]). …”
Section: Definition 15mentioning
confidence: 99%
“…On the other hand, L M I (1) implies the uniform perfectness. Let us also mention that uniform perfect sets in R N have positive Hausdorff dimension ( [25]). …”
Section: Definition 15mentioning
confidence: 99%
“…The Markov property defined by inequality (17) can be found in [3,8,20] Bos and Milman (A Geometric Interpretation and the Equality of Exponents in Markov and Gagliardo-Nirenberg (Sobolev) Type Inequalities for Singular Compact Domains (preprint)). If a set E ⊂ C has the LMP(m, κ) with constant c 1 , then c n in inequality (17) equals c 1 n κ and in the proof of Theorem 4.3 we can put a k = c k m+κ with some constant c independent of z 0 ∈ E, r ∈ (0, 1] and k ∈ {2, 3, ...}.…”
Section: Proposition 42 For Any Compact Setmentioning
confidence: 99%
“…for every x ∈ A and every algebraic polynomial p : R n → R n of total degree at most k [40]. This inequality is important in polynomial approximation in function spaces defined on A [25].…”
Section: Introductionmentioning
confidence: 99%