The Krein-Rutman theorem is a basic theorem in optimistic close-packed operator theory. It has been generally used for partial differential equations, energizing systems, random processes, mounted purpose theory, and purposeful analysis. As an example, the Krein-Rutman theorem is a necessary tool to obtain the existence of a second-order elliptic equation of the leading eigen value, which can be used for the progressive mode evaluation of the equivalent system. A complete unitary space is called Hilbert spaces. In regard to the norm, entire Hilbert spaces are Banach spaces, but the reverse is not the case. A complete means a space where any sequence of points adjacent to each other converges to some point, Linear and Inner product space on the field of complex numbers is identified as a Hilbert space. A good number of Hilbert spaces include Sobolev spaces, spaces of sequences, Hardy spaces, and spaces of square-integral functions. Schröder equation is appropriate for encoding self-similarity, hence used in the studies of nonlinear dynamics, turbulence, and renormalization group . Hilbert space’s model theories have been measured in different aspects of the analysis. Henson exposed the concept of optimistic finite rules, estimated satisfaction for the first order concept, and other substitutions .
Say, be a unitary space; then a normal linear space is defined by , where there is an inner product on F as like for each , where the norm of inner product is . If and denote two Hilbert spaces. Where & then we can write is the straight sum of the Hilbert spaces of &
If U(n) is stated as the subset of unitary matrix where the space is denoted by is complex matrices of order and the unitary ball (nth) is pointed through B(n). In most cases, singular value is 1 for the set of matrices of through a real Hilbert space such as: and its convex relation. Let be unitary matrices of order , and let be real numbers. The, the set of best possible solutions; ; include a unitary matrix . The Schröder’s equation is a composition operator’s eigenvalue equation Ch, which presents a featuref to .
Let, Schröder equation
where, presents an unknown function and a given function f. Among the other classes of functions, the bounded function “ ” is connected with convex classes of functions . The hypothesis is that, “ ” function is bounded. Equation (1) is studied for functions well-defined on the area in Hilbert spaces. If H is a valid space and there is a true constant present, where that is, , in that case, space H has the inner product that is increasing on E .
Using as closed area in H with occupied interior , Hilbert space is expressed as . With E being a subset of H in that , when , and .
Hence an order ≤ on H is expressed by; .
First, presents linear mapping of two Hilbert space; the norm of second Hibert space is .
Example: if where
As the norm is bounded if and only if is continuous in the justification that there be a constant like this, ; for each . The counterpart of an orthogonal operator is designated as a unitary operator. Accordingly is unitary; that is . The finite dimension of complex Hilbert Space is diagonalizable to any unitary operator.
Assuming, a complex Hilbert space is symbolized by H and U be the linear operator on H. In that case, the matrix which diagonalizes U.
Assume C is a closed convex space where C1 is a fixed-rank of definite Hilbert space. Then a linear operator L such that . We can say that L is a Z-operator on C if is negative or equal to zero for each in a way, . The generalization of Z-matrices is that of Z-operators (whose off-diagonal elements are non-positive) .
Assume that be the matrix and say . If is a point within a convex f for followed by [ ].
Proof: If belongs to an internal of a u-shaped hull of then there are such that , . The Frobenius norm of equals for all ,By strict adherence to Frobenius rules we infer that true .
Lemma: Suppose for . If , for every , will be for .
Assuming, represents a continuous linear operator and . For each , a positive integer n occurs in that, .
Using the theorem of Krein-Rutman, a vector and a constant linear function , occurs;
where is the spectral radius T:
Assuming, and the function , and
Lemma: Assuming represent a bounded solution of Equation (1), for certain .
Whether is increasing with , or is decreasing with ; .
Assuming is increasing, then , with a finite .
Therefore, with is a solution of Equation (1), .
When is fixed arbitrarily, a positive integer n occurs according to Equation (2) and the first Lemma, such that
Hence and .
With a similar argument, the lemma below can be proved.
Lemma: Assuming represent a bounded solution of Equation (1), for certain .
Whether is increasing with , or is decreasing with ; is finite-valued.
THEOREM: Assuming the f function is increasing with a bounded . Then:
1) The sequence which is bounded for every is
and the function which is an increasing solution of the Equation (1) is expressed as
2) Assuming and the function is rising; and if is Equation (1) solution where is rising and [resp. is decreasing and ], at that point [resp. ], for certain implies .
3) Assuming is decreasing and is limited-valued, the function is declining and if is Equation (1) solution where is rising and [resp. is decreasing and , at that point [resp. ], for some implies .
Indicating that : ;
With and being bounded;
In (1) above,
Indicates that the sequence in Equation (3) is increasing for every . In (2) above, the sequence is decreasing.
For respective , is Equation (1) solution and is increasing.
Therefore , .
With increasing accompanied by is a solution of the Equation (1), also increases and . At that point .
Assuming, for certain . According to Lemma, is finite-valued.
depict an increasing function. Also being a non-negative Equation (1) solution then disappears at a, it disappears everywhere (i.e. ). In the case where is decreasing, a similar argument can be made.
In conclusion, with decreasing, and a decreasing sequence (3) for each , is finite-valued with is a solution of the Equation (1), an increasing is observed. At that point Equation (6) holds and . Aassuming for certain , as seen in an Equation (7), is a solution of a non-negative and increasing Equation (1) that disappears at a. An application of the second Lemma gives thus ending the proof.
The example below shows that solution does not need to be convex.
EXAMPLE: The represented functions
Hence is both not convex and concave.
When the “ ” function is not bounded, is similarly not convex or concave.
Theorem: Supposing and is bounded. At that point:
1) For respective , sequence (3) convergence occurs.
2) The function assumed by the method (4) is a non-zero Equation (1) resolution which gives rise to a bounded .
3) Assuming is Equation (1) solution such that, for certain , when function is bounded, then .
Proof: Inserting , it is inferred that the series
has sum bounded function and converges uniformly and absolutely.
From Equation (5), for each, , the sequence (3) converges, with as bounded function.
Assuming is a way out of (1) in a way that the constant S bounds the function at that point
that is, .
In that case,
Hence, ; since
We’ve got it
It has been found that the entire Krein-Rutman theorem subsystem certainly has a sufficiently regular domain. One of its features is good regularity and many non-linear elliptical operators must have the most ethical principles to meet the weak comparison policy. Regarding generalization endless dimensional spaces of the Euclidean spaces are the Hilbert spaces. This paper, hence proved results on Schröder Equation (1) solutions using Krein-Rutman theorem as defined in Hilbert spaces as well as unitary spaces. The result simplifies the F.M. Hoppe theorem .
I thank Almighty Allah for His protection throughout the time of this research work and those who helped to make this work a success.
 Henson, W. and Iovino, J. (2002) Ultra products in Analysis, Analysis and Logic. In: Finet, C. and Michaux, C., Eds., London Mathematical Society Lecture Notes Series, No. 262, Cambridge University Press, Cambridge, 10.
 Cryer, C.W. and Dempster, M.A.H. (1980) Equivalence of Linear Complementarily Problems and Linear Programs in Vector Lattice Hilbert Spaces. SIAM Journal on Control and Optimization, 18, 76-90.