17 research outputs found
Maximal and -Kakeya bounds over for general
We derive Maximal Kakeya estimates for functions over
proving the Maximal Kakeya conjecture for
for general as stated by Hickman and Wright
[HW18]. The proof involves using polynomial method and linear algebra
techniques from [Dha21, Ars21a, DD21] and generalizing a probabilistic method
argument from [DD22]. As another application we give lower bounds for the size
of -Kakeya sets over . Using these ideas
we also give a new, simpler, and direct proof for Maximal Kakeya bounds over
finite fields (which were first proven in [EOT10]) with almost sharp constants.Comment: arXiv admin note: text overlap with arXiv:2110.1488
Proof of the Kakeya set conjecture over rings of integers modulo square-free
A Kakeya set is a set containing a
line in each direction. We show that, when is any square-free integer, the
size of the smallest Kakeya set in is at least
for any -- resolving a special
case of a conjecture of Hickman and Wright. Previously, such bounds were only
known for the case of prime . We also show that the case of general can
be reduced to lower bounding the rank of the incidence matrix of
points and hyperplanes over
Linear Hashing with guarantees and two-sided Kakeya bounds
We show that a randomly chosen linear map over a finite field gives a good
hash function in the sense. More concretely, consider a set and a randomly chosen linear map with taken to be sufficiently smaller than . Let
denote a random variable distributed uniformly on . Our main theorem
shows that, with high probability over the choice of , the random variable
is close to uniform in the norm. In other words, every
element in the range has about the same number of elements in
mapped to it. This complements the widely-used Leftover Hash Lemma (LHL)
which proves the analog statement under the statistical, or , distance
(for a richer class of functions) as well as prior work on the expected largest
'bucket size' in linear hash functions [ADMPT99]. Our proof leverages a
connection between linear hashing and the finite field Kakeya problem and
extends some of the tools developed in this area, in particular the polynomial
method
Simple proofs for Furstenberg sets over finite fields
A -Furstenberg set over a finite field is a
set that has at least points in common with a -flat in every direction.
The question of determining the smallest size of such sets is a natural
generalization of the finite field Kakeya problem. The only previously known
bound for these sets is due to Ellenberg-Erman and requires sophisticated
machinery from algebraic geometry. In this work we give new, completely
elementary and simple, proofs which significantly improve the known bounds. Our
main result relies on an equivalent formulation of the problem using the notion
of min-entropy, which could be of independent interest
Generalized GM-MDS: Polynomial Codes are Higher Order MDS
The GM-MDS theorem, conjectured by Dau-Song-Dong-Yuen and proved by Lovett
and Yildiz-Hassibi, shows that the generator matrices of Reed-Solomon codes can
attain every possible configuration of zeros for an MDS code. The recently
emerging theory of higher order MDS codes has connected the GM-MDS theorem to
other important properties of Reed-Solomon codes, including showing that
Reed-Solomon codes can achieve list decoding capacity, even over fields of size
linear in the message length.
A few works have extended the GM-MDS theorem to other families of codes,
including Gabidulin and skew polynomial codes. In this paper, we generalize all
these previous results by showing that the GM-MDS theorem applies to any
\emph{polynomial code}, i.e., a code where the columns of the generator matrix
are obtained by evaluating linearly independent polynomials at different
points. We also show that the GM-MDS theorem applies to dual codes of such
polynomial codes, which is non-trivial since the dual of a polynomial code may
not be a polynomial code. More generally, we show that GM-MDS theorem also
holds for algebraic codes (and their duals) where columns of the generator
matrix are chosen to be points on some irreducible variety which is not
contained in a hyperplane through the origin. Our generalization has
applications to constructing capacity-achieving list-decodable codes as shown
in a follow-up work by Brakensiek-Dhar-Gopi-Zhang, where it is proved that
randomly punctured algebraic-geometric (AG) codes achieve list-decoding
capacity over constant-sized fields.Comment: 34 page
AG codes achieve list decoding capacity over contant-sized fields
The recently-emerging field of higher order MDS codes has sought to unify a
number of concepts in coding theory. Such areas captured by higher order MDS
codes include maximally recoverable (MR) tensor codes, codes with optimal
list-decoding guarantees, and codes with constrained generator matrices (as in
the GM-MDS theorem).
By proving these equivalences, Brakensiek-Gopi-Makam showed the existence of
optimally list-decodable Reed-Solomon codes over exponential sized fields.
Building on this, recent breakthroughs by Guo-Zhang and Alrabiah-Guruswami-Li
have shown that randomly punctured Reed-Solomon codes achieve list-decoding
capacity (which is a relaxation of optimal list-decodability) over linear size
fields. We extend these works by developing a formal theory of relaxed higher
order MDS codes. In particular, we show that there are two inequivalent
relaxations which we call lower and upper relaxations. The lower relaxation is
equivalent to relaxed optimal list-decodable codes and the upper relaxation is
equivalent to relaxed MR tensor codes with a single parity check per column.
We then generalize the techniques of GZ and AGL to show that both these
relaxations can be constructed over constant size fields by randomly puncturing
suitable algebraic-geometric codes. For this, we crucially use the generalized
GM-MDS theorem for polynomial codes recently proved by Brakensiek-Dhar-Gopi. We
obtain the following corollaries from our main result. First, randomly
punctured AG codes of rate achieve list-decoding capacity with list size
and field size . Prior to this work, AG
codes were not even known to achieve list-decoding capacity. Second, by
randomly puncturing AG codes, we can construct relaxed MR tensor codes with a
single parity check per column over constant-sized fields, whereas
(non-relaxed) MR tensor codes require exponential field size.Comment: 38 page
Furstenberg sets in finite fields: Explaining and improving the Ellenberg-Erman proof
A subset , where is a finite field,
is called -Furstenberg if it has common points with a -flat in
each direction. That is, any -dimensional subspace of can
be translated so that it intersects in at least points. Using
sophisticated scheme-theoretic machinery, Ellenberg and Erman proved that
-Furstenberg sets must have size at least with a
constant depending only and . In this work we follow the
overall proof strategy of Ellenberg-Erman, replacing the scheme-theoretic
language with more elementary machinery. In addition to presenting the proof in
a self-contained and accessible form, we are also able to improve the constant
by modifying certain key parts of the argument.Comment: Fixed usage of some confusing terms and some typo
Antimicrobial Activity of Catharanthus Roseus
The aim of the present study is to investigate the antimicrobial activity and phytochemical analysis of Acetone extract of Catharanthus roseus whole plant against the wound isolates. Two different solvents such as ethanol and methanol were used to extract the bioactive compounds from the whole plant of Catharanthus roseus and screened for their antimicrobial activity against the isolated wound pathogens under well diffusion method. The maximum antibacterial activity was observed in crude Ethanolic extract of Catharanthus roseus against Pseudomonas aeruginosa. Qualitative analysis of phytochemical screening reveals the presence of Flavonoids, Tannin, Alkaloids and Terpenoids. KEY WORDS: - Catharanthus roseus, Antimicrobial activity and Phytochemical analysi