Received 9 October 2015; accepted 2 July 2016; published 5 July 2016

1. Introduction
The concept of frames in Hilbert spaces has been introduced by Duffin and Schaefer in 1952 to study some deep problems in nonharmonic Fourier series. D. Han and D.R. Larson [1] have developed a number of basic aspects of operator-theoretic approach to frame theory in Hilbert space. Peter G. Casazza [2] presented a tutorial on frame theory and he suggested the major directions of research in frame theory.
The concept of linear 2-normed spaces has been investigated by S. Gahler in 1965 [3] and has been developed extensively in different subjects by many authors. A concept which is related to a 2-normed space is 2-inner product space which has been intensively studied by many mathematicians in the last three decades. The concept of 2-frames for 2-inner product spaces was introduced by Ali Akbar Arefijammaal and Ghadir Sadeghi [4] and described some fundamental properties of them. Y. J. Cho, S. S. Dragomir, A. White and S. S. Kim [5] are presented some inequalities in 2-inner product spaces. Some results on 2-inner product spaces are described by H. Mazaherl and R. Kazemi [6] . The tensor product of frames in tensor product of Hilbert spaces is introduced by G. Upender Reddy and N. Gopal Reddy [7] and some results on tensor frame operator are presented.
In this paper, 2-frames in 2-Hilbert spaces are studied and some results on it are presented. The tensor product of 2-frames in 2-Hilbert spaces is introduced. It is shown that the tensor product of two 2-frames is a 2-frame for the tensor product of Hilbert spaces. Some results on tensor product of 2-frames are established.
2. Preliminaries
The following definitions from [2] [5] are useful in our discussion.
Definition 2.1. A sequence
of vectors in a Hilbert space X is called a frame if there exist constants 0
< A ≤ B <µ such that

The above inequality is called the frame inequality. The numbers A and B are called lower and upper frame bounds respectively.
Definition 2.2. A synthesis operator T: l2 ®X is defined as
where
is an orthonormal basis for l2.
Definition 2.3. Let
be a frame for X and
be an orthonormal basis for l2. Then, the analysis operator T*: X ® l2 is the adjoint of synthesis operator T and is defined as
for all x Î X.
Definition 2.4. Let
be a frame for the Hilbert space H. A frame operator
is defined as
for all x Î X.
Here we give the basic definitions of 2-normed spaces and 2-inner product spaces from [3] [6] .
Definition 2.5. X be a real linear space of dimension greater than 1 and let
be a real-valued function on X × X satisfying the following conditions.
a)
and
if and only if x and y are linearly dependent vectors.
b)
for all 
c)
for any real number
and for all ![]()
d)
for all ![]()
Then
is called 2-norm on X and
called a linear 2-normed space.
Definition 2.6. Let X be a linear space of dimension greater than 1 over the field K (=R or C). Suppose that
is K-valued function on X × X × X which satisfies the following conditions.
a)
and
if and only if x and z are linearly dependent.
b) ![]()
c) ![]()
d) ![]()
e) ![]()
Then
is called a 2-inner product on X and
is called a 2-inner product space (or 2-pre Hilbert space).
If
is an inner product space, then the standard 2-inner product space
is defined on X by
.
Let
be a 2-inner product space, we can define a 2-norm on X ´ X by
, for all
.
Using the above properties, we can prove the Cauchy-Schwartz inequality ![]()
A 2-inner product space X is called a 2-Hilbert space if it is complete.
3. 2-Frames
The definition of 2-frame from [1] as follows.
Definition 3.1 Let
be a 2-Hilbert space and
. A sequence
of elements in X is called a 2-frame associated to
if there exist 0 < A ≤ B <µ such that
.
The above inequality is called the 2-frame inequality. The numbers A and B are called the lower and upper 2-frame bounds respectively.
The following proposition [1] shows that in the standard 2-inner product spaces every frame is a 2-frame.
Proposition 3.2. Let
be a Hilbert space and
is a frame for H. Then, it is a 2-frame with the standard 2-inner product space on X.
Proof: Suppose that
is a frame for X with frame bounds A and B.
Then ![]()
Similarly we can prove that
. Hence
is a 2-frame for 2-Hilbert space. ð
Suppose
is a 2-Hilbert space and
the subspace generated with a fixed element
in X. Let
be denote the algebraic complement of
in X. So we have
.We define the inner product
on X as follows
.
A sequence
of elements in X is a 2-frame associated to
with frame bounds A and B, then the definition of 2-frame can be written as
.
Definition 3.3. Let
be a 2-frame in X. Then, the 2-Synthesis operator
is defined by
.
Definition 3.4. Let
be a 2-frame in X. Then, the 2-Analysis operator
is defined by
.
Definition 3.5. Let
be a 2-frame associated to
with frame bounds A and B in a 2-Hilbert space X. A 2-frame operator
is defined by ![]()
Theorem 3.6. Suppose that
is a sequence in 2-Hilbert space X, with
holds for all
if and only if
is a 2-normalized tight frame for X.
Proof: Since
is a 2-normalized tight frame for X, for all ![]()
![]()
for all
. ð
Theorem 3.7. Suppose that
is a 2-frame for Hilbert space X, and T is co-isometry. Then
is a 2-frame for X.
Proof: Since
is a 2-frame for X, by Definition 3.1, we have
(1)
Since
is an operator, for all
, we have ![]()
Therefore, the above Equation (1) is true for ![]()
![]()
![]()
By using the fact that T is co-isometry, we have
![]()
Which shows that
is a 2-frame for X. ð
4. Tensor Product of 2-Frames
Let H1 and H2 be 2-Hilbert spaces with inner products
,
respectively. The tensor product of H1 and H2 is denoted by
and is an inner product space with respect to the inner product given by
(2)
for all
and
. The norm on
is defined by
(3)
where
, and
are norms generated by
and
respectively. The space
is completion with the above inner product. Therefore, the space
is a 2-Hilbert space.
The following definition is the extension of (3.1) to the sequence
.
Definition 4.1. Let
and
be the sequences of vectors in 2-Hilbert spaces
and
respectively. Then, the sequence of vectors
is said to be a tensor product of 2-frame for the tensor product of Hilbert spaces
associated to
if there exist two constants 0 < A ≤ B <µ such that
![]()
The numbers A and B are called lower and upper frame bounds of the tensor product of 2-frame, respectively.
Theorem 4.2. Let
and
be two sequences in Hilbert spaces H1 and H2 respectively. Then, the sequence
is a tensor product of 2-frame for
if and only if
and
are the 2-frames for H1 and H2 respectively.
Proof. Suppose that
is a 2-frame for
associated to
. Then, for each ![]()
![]()
On using (2) and (3) the above equation becomes
![]()
This gives ![]()
That is ![]()
Therefore
,
where
and
.
Which shows that
is a 2-frame for
associated to
. Similarly we can prove that
is a 2- frame for
associated to
.
Conversely, assume that
is a 2-frame for
associated to
with frame bounds
,
and
is a 2-frame for
associated to
with frame bounds
,
. Then
(4)
and
(5)
multiplying the Equations (4) and (5) we get
![]()
Which shows that
is a tensor product of frame for
. ð
Hence we can have the following remark.
Remark 4.3. If the sequences
,
and
are the 2-frames for the Hilbert spaces
,
and
respectively and
are the frame operators respectively of above frames, then from 3.5, we have the following.
![]()
,
Theorem 4.4. If
,
and
are the frames for the Hilbert spaces
,
and
with the frame operators
respectively, then
.
Proof. For
, we have
![]()
Hence
. ð
The following two theorems are the extension of 3.6 and 3.7 to the sequence
so, proofs are left to the reader.
Theorem 4.5. Assume that
is a sequence in a Hilbert space
. Then
,
if and only if
is a 2-normalized tight frame for
.
Theorem 4.6. Suppose that
is a tensor product of 2-frame for
, and
is co-iso- metry. Then
is a tensor product of 2-frame for
.
Acknowledgements
The research of the author is partially supported by the UGC (India) [Letter No. F.20-4(1)/2012(BSR)].