SlideShare a Scribd company logo
Discrete generalization of
Gronwall-Bellman inequality with maxima
and application
Snezhana Hristova1
Kremena Stefanova2
Liliana Vankova3
Abstract
Several new types of linear discrete inequalities containing the maximum
of the unknown function over a past time interval are solved. Some of
these inequalities are applied to difference equations with maximum and
the continuous dependence of a perturbation is studied.
Key words : discrete Gronwall - Bellman type inequality, difference
equations with maxima, bounds.
AMS Subject Classifications : 39A22, 26D15, 39B62, 39A10, 47J20
1. Introduction
The theory of finite difference equations has been rapidly developed in re-
cent years and also it has been proved the fundamental importance of its
applications in modeling of real world problems. At the same time there
are many real world processes in which the present state depends signifi-
cantly on its maximal value on a past time interval. Adequate mathematical
models of these processes are so called difference equations with maximum.
Meanwhile, this type of difference equations is not widely studied yet and
there are only some isolated results ([3]).
Finite difference inequalities which exhibit explicit bounds of unknown
functions in general provide a very useful and important tool in the devel-
opment of the theory of finite difference equations. During the past few
years, motivated and inspired by their applications in various branches of
difference equations, many such inequalities have been established ([1], [2],
[4]).
The main purpose of the paper is solving of a new type of linear dis-
crete inequalities containing the maximum over a past time interval. Also
it is applied to difference equations with maximum and the continuous de-
pendence on a perturbation is studied.
1
2. Preliminary Notes
Let R+ = [0, ∞), N be the set of the whole numbers (i.e. the numbers
0, 1, 2, 3, . . . ) and a, b ∈ N be such that a < b. Denote by N(a, b) = {k ∈
N : a ≤ k ≤ b} and N(a) = {k ∈ N : k ≥ a}.
We will assume that
m
l=n
= 0 and m
l=n = 1 for n > m.
In the proof of our main results we will need the following lemma:
Lemma 1. [1, Theorem 4.1.1] Let f, q : N(a) → R+, p, u : N(a) → R and
for all k ∈ N(a) be satisfied u(k) ≤ p(k) + q(k) k−1
l=a f(l)u(l).
Then for all k ∈ N(a) the inequality
u(k) ≤ p(k) + q(k)
k−1
l=a
p(l)f(l)
k−1
τ=l+1
1 + q(τ)f(τ) (1)
holds.
Remark 1. Note Lemma 1 is true if p(k) and u(k) change sign on N(a).
3. Main Results
Let a, h ∈ N be fixed such that a ≥ h.
Theorem 1. Let the following conditions be fulfilled:
1. The functions p, g, G : N(a) → R+ are nondecreasing.
2. The functions q, Q : N(a) → R+ , the function ϕ : N(a − h, a) →
R+, and max
k∈ N(a−h, a)
ϕ(k) ≤ p(a).
3. The function u : N(a − h) → R+ and satisfies the inequalities
u(k) ≤ p(k)+g(k)
k−1
l=a
q(l)u(l)+G(k)
k−1
l=a
Q(l) max
s∈[l−h, l]
u(s), k ∈ N(a), (2)
u(k) ≤ ϕ(k), k ∈ N(a − h, a). (3)
Then for k ∈ N(a) the inequality
u(k) ≤ p(k) + S(k)
k−1
l=a
p(l) q(l) + Q(l)
k−1
τ=l+1
1 + S(τ) q(τ) + Q(τ) (4)
holds, where S(k) = max g(k), G(k) for k ∈ N(a).
2
P r o o f: Define a function z(k) : N(a − h) → R+ by the equalities
z(k) =



p(k) + g(k)
k−1
l=a
q(l)u(l)
+G(k)
k−1
l=a
Q(l) max
s∈[l−h, l]
u(s),
for k ∈ N(a),
p(a) for k ∈ N(a − h, a).
For any k ∈ N(a), k ≥ a − 1 we have z(k + 1) =
= p(k + 1) + g(k + 1)
k
l=a
q(l)u(l) + G(k + 1)
k
l=a
Q(l) max
s∈[l−h, l]
u(s)
≥ p(k + 1) + g(k + 1)
k−1
l=a
q(l)u(l) + G(k + 1)
k−1
l=a
Q(l) max
s∈[l−h, l]
u(s)
≥ p(k) + g(k)
k−1
l=a
q(l)u(l) + G(k)
k−1
l=a
Q(l) max
s∈[l−h, l]
u(s)
= z(k).
Therefore, the function z(k) is nondecreasing in N(a − h).
From the definition of the function z(k), its monotonicity, inequalities
(2), (3) and condition 2 it follows u(k) ≤ z(k), k ∈ N(a − h). Therefore,
maxs∈[k−h, k] u(s) ≤ maxs∈[k−h, k] z(s) = z(k) for k ∈ N(a) and for any k ∈
N(a) we obtain
z(k) ≤ p(k) + g(k)
k−1
l=a
q(l)z(l) + G(k)
k−1
l=a
Q(l)z(l)
≤ p(k) + S(k)
k−1
l=a
q(l) + Q(l) z(l).
(5)
According to Lemma 1 from inequality (5) we get for k ∈ N(a)
z(k) ≤ p(k) + S(k)
k−1
l=a
p(l) q(l) + Q(l)
k−1
τ=l+1
1 + S(τ) q(τ) + Q(τ) . (6)
Inequality (6) implies the validity of the required inequality (4).
3
Corollary 1. Let the conditions 2, 3 of Theorem 1 be satisfied where p(k) ≡
p, g(k) ≡ g, G(k) ≡ G for k ∈ N(a) and p, g, G ≥ 0 are constants.
Then u(k) ≤ p k−1
l=a 1 + S q(l) + Q(l) for k ∈ N(a), where S =
max g, G .
Remark 2. The proof of Corollary 1 is based on the inequality
b
l=a
A(l)
b
τ=l+1
(1 + A(τ)) ≤
b
l=a
(1 + A(l)).
Corollary 2. Let the conditions of Theorem 1 be satisfied and g(k) ≥ 1,
G(k) ≥ 1 for k ∈ N(a).
Then u(k) ≤ p(k)S(k) k−1
l=a 1 + S(l) q(l) + Q(l) for k ∈ N(a).
Corollary 3. Let the conditions 2, 3 of Theorem 1 be satisfied where p(k) ≡
p = const ≥ 0 and g(k) = G(k) = 1 for k ∈ N(a).
Then u(k) ≤ p k−1
l=a 1 + q(l) + Q(l) for k ∈ N(a).
4. Applications
Let a, b ∈ N : a < b ≤ ∞ and the function τ : N(a, b) → N be given
such that there exists h ∈ N, h ≤ a: k − h ≤ τ(k) ≤ k for k ∈ N(a, b).
Let u : N → R. Denote ∆u(k) = u(k + 1) − u(k), k ∈ N.
Consider the following difference equation with “maxima”:
∆u(k) = f k, u(k), max
s∈N(τ(k), k)
u(s) , k ∈ N(a, b), (7)
and its perturbed difference equation with “maxima”:
∆v(k) = f k, v(k), max
s∈N(τ(k), k)
v(s) + g k, v(k) , k ∈ N(a, b) (8)
with initial condition
u(k) = ϕ(k), k ∈ N(a − h, a). (9)
Remark 3. Note that in the case τ(k) ≡ k the equation with maxima (7)
reduces to a difference equation which is well known in the literature ([1]).
4
In our further investigations we will assume the initial value problems
(7), (9) and (8), (9) have solutions u(k) and v(k) for k ∈ N(a − h, b).
Theorem 2. (Continuous dependence on the perturbation). Let the follow-
ing conditions be fulfilled:
1. The function f : N(a, b) × R × R → R satisfies Litschitz condition
|f(k, x1, y1) − f(k, x2, y2)| ≤ λ(k)|x1 − x2| + ˜λ(k)|y1 − y2|,
where xi, yi ∈ R, k ∈ N(a, b) and the functions λ, ˜λ : N(a, b) → R+.
2. The function g : N(a, b) × R → R satisfies the condition
g(k, ζ) ≤ µ(k), k ∈ N(a, b), ζ ∈ R, (10)
where the function µ : N(a, b) → R+ and
b
k=a
µ(k) = M < ∞.
3. The function ϕ : N(a − h, a) → R.
Then for k ∈ N(a, b) the following inequality hold
u(k) − v(k) ≤ M
k−1
l=a
1 + λ(l) + ˜λ(l) . (11)
P r o o f: The functions u(k) and v(k) satisfies the equalities u(k) = v(k)
for k ∈ N(a − h, a) and for k ∈ N(a, b):
u(k) = ϕ(a) +
k−1
l=a
f l, u(l), max
s∈N(τ(l), l)
u(s)
v(k) = ϕ(a) +
k−1
l=a
f l, v(l), max
s∈N(τ(l), l)
v(s) + g l, v(l) .
Then since N(τ(k), k) ⊂ [k − h, k] we get for k ∈ N(a)
u(k)−v(k) ≤ M +
k−1
l=a
λ(l) u(l)−v(l) +
k−1
l=a
˜λ(l) max
s∈[l−h, l]
u(s)−v(k) . (12)
According to Corollary 3 from inequality (12) we obtain inequal-
ity (11).
5
EXAMPLE. Consider the linear difference equation with ”maxima”
u(k + 1) = Au(k) + B max
s∈N(τ(k), k)
u(s), k ∈ N(a, b), (13)
and the perturbed difference equation with ”maxima”
v(k + 1) = Av(k) + B max
s∈N(τ(k), k)
v(s) +
e−v(k)
2k
, k ∈ N(a, b), (14)
with initial conditions u(k) = v(k) = C, k ∈ N(a − h, a), where A =
const ≥ 1, B = const ≥ 0, C = const ≥ 0.
Then λ(k) ≡ A − 1 ≥ 0 and ˜λ(k) ≡ B ≥ 0 for k ∈ N(a, b).
Let g k, v = e−v
2k . Then µ(k) = 1
2k and
b
k=a
1
2k ≤ 2 = M < ∞.
According to Theorem 2 we get u(k) − v(k) ≤ 2 A + B
k−a−1
, k ∈
N(a + 1, b).
Acknowledgments. The research was partially supported by Grand
NI11FMI004/30.05.2011, Fund Scientific Research, Plovdiv University.
References
[1] R. P. Agarwal, Difference Equations and Inequalities: Theory,
Methods and Applications, CRC Press, 2000.
[2] S. Elaydi, Introduction to Difference Equations and Inequalities: The-
ory, Methods and Applications, CRC Press, 2000.
[3] J.W. Luo, D.D. Bainov, Oscillatory and asymptotic behavior of
second-order neutral difference equations with maxima, J. Comput.
Appl. Math., 131 (2001) 333–341.
[4] C. Wing-Sum, M. Qing-Hua, J. Pecaric, Some discrete nonlinear
inequalities and applications to difference equations, Acta Math. Sci.,
28B(2), 2008, 417–430.
Faculty of Mathematics and Informatics,
Plovdiv University, Plovdiv 4000, Bulgaria
e-mail 1
: snehri@uni-plovdiv.bg e-mail 2
: kstefanova@uni-plovdiv.bg
e-mail 3
: lilqna.v@gmail.com
6

More Related Content

What's hot

On maximal and variational Fourier restriction
On maximal and variational Fourier restrictionOn maximal and variational Fourier restriction
On maximal and variational Fourier restriction
VjekoslavKovac1
 
Density theorems for anisotropic point configurations
Density theorems for anisotropic point configurationsDensity theorems for anisotropic point configurations
Density theorems for anisotropic point configurations
VjekoslavKovac1
 
A Szemeredi-type theorem for subsets of the unit cube
A Szemeredi-type theorem for subsets of the unit cubeA Szemeredi-type theorem for subsets of the unit cube
A Szemeredi-type theorem for subsets of the unit cube
VjekoslavKovac1
 
Convergence Criteria
Convergence CriteriaConvergence Criteria
Convergence Criteria
Tarun Gehlot
 
A Proof of Twin primes and Golbach's Conjecture
A Proof of Twin primes and Golbach's ConjectureA Proof of Twin primes and Golbach's Conjecture
A Proof of Twin primes and Golbach's Conjecture
nikos mantzakouras
 
Talk given at the Twelfth Workshop on Non-Perurbative Quantum Chromodynamics ...
Talk given at the Twelfth Workshop on Non-Perurbative Quantum Chromodynamics ...Talk given at the Twelfth Workshop on Non-Perurbative Quantum Chromodynamics ...
Talk given at the Twelfth Workshop on Non-Perurbative Quantum Chromodynamics ...
Marco Frasca
 
Mathematical Induction
Mathematical InductionMathematical Induction
Mathematical InductionEdelyn Cagas
 
Complexity of exact solutions of many body systems: nonequilibrium steady sta...
Complexity of exact solutions of many body systems: nonequilibrium steady sta...Complexity of exact solutions of many body systems: nonequilibrium steady sta...
Complexity of exact solutions of many body systems: nonequilibrium steady sta...
Lake Como School of Advanced Studies
 
Proof of Brocard's Conjecture
Proof of Brocard's ConjectureProof of Brocard's Conjecture
Proof of Brocard's Conjecture
nikos mantzakouras
 
Minimum spanning tree algorithms by ibrahim_alfayoumi
Minimum spanning tree algorithms by ibrahim_alfayoumiMinimum spanning tree algorithms by ibrahim_alfayoumi
Minimum spanning tree algorithms by ibrahim_alfayoumi
Ibrahim Alfayoumi
 
Bird’s-eye view of Gaussian harmonic analysis
Bird’s-eye view of Gaussian harmonic analysisBird’s-eye view of Gaussian harmonic analysis
Bird’s-eye view of Gaussian harmonic analysis
Radboud University Medical Center
 
Welcome to International Journal of Engineering Research and Development (IJERD)
Welcome to International Journal of Engineering Research and Development (IJERD)Welcome to International Journal of Engineering Research and Development (IJERD)
Welcome to International Journal of Engineering Research and Development (IJERD)
IJERD Editor
 
Maksim Zhukovskii – Zero-one k-laws for G(n,n−α)
Maksim Zhukovskii – Zero-one k-laws for G(n,n−α)Maksim Zhukovskii – Zero-one k-laws for G(n,n−α)
Maksim Zhukovskii – Zero-one k-laws for G(n,n−α)
Yandex
 
I. Antoniadis - "Introduction to Supersymmetry" 1/2
I. Antoniadis - "Introduction to Supersymmetry" 1/2I. Antoniadis - "Introduction to Supersymmetry" 1/2
I. Antoniadis - "Introduction to Supersymmetry" 1/2
SEENET-MTP
 
Solve Equations
Solve EquationsSolve Equations
Solve Equations
nikos mantzakouras
 
Hypothesis of Riemann's (Comprehensive Analysis)
 Hypothesis of Riemann's (Comprehensive Analysis) Hypothesis of Riemann's (Comprehensive Analysis)
Hypothesis of Riemann's (Comprehensive Analysis)
nikos mantzakouras
 
A Proof of the Riemann Hypothesis
A Proof of the Riemann  HypothesisA Proof of the Riemann  Hypothesis
A Proof of the Riemann Hypothesis
nikos mantzakouras
 
Kittel c. introduction to solid state physics 8 th edition - solution manual
Kittel c.  introduction to solid state physics 8 th edition - solution manualKittel c.  introduction to solid state physics 8 th edition - solution manual
Kittel c. introduction to solid state physics 8 th edition - solution manual
amnahnura
 

What's hot (20)

On maximal and variational Fourier restriction
On maximal and variational Fourier restrictionOn maximal and variational Fourier restriction
On maximal and variational Fourier restriction
 
Density theorems for anisotropic point configurations
Density theorems for anisotropic point configurationsDensity theorems for anisotropic point configurations
Density theorems for anisotropic point configurations
 
A Szemeredi-type theorem for subsets of the unit cube
A Szemeredi-type theorem for subsets of the unit cubeA Szemeredi-type theorem for subsets of the unit cube
A Szemeredi-type theorem for subsets of the unit cube
 
Convergence Criteria
Convergence CriteriaConvergence Criteria
Convergence Criteria
 
Kk graviton redo.july5,2012
Kk graviton redo.july5,2012Kk graviton redo.july5,2012
Kk graviton redo.july5,2012
 
balakrishnan2004
balakrishnan2004balakrishnan2004
balakrishnan2004
 
A Proof of Twin primes and Golbach's Conjecture
A Proof of Twin primes and Golbach's ConjectureA Proof of Twin primes and Golbach's Conjecture
A Proof of Twin primes and Golbach's Conjecture
 
Talk given at the Twelfth Workshop on Non-Perurbative Quantum Chromodynamics ...
Talk given at the Twelfth Workshop on Non-Perurbative Quantum Chromodynamics ...Talk given at the Twelfth Workshop on Non-Perurbative Quantum Chromodynamics ...
Talk given at the Twelfth Workshop on Non-Perurbative Quantum Chromodynamics ...
 
Mathematical Induction
Mathematical InductionMathematical Induction
Mathematical Induction
 
Complexity of exact solutions of many body systems: nonequilibrium steady sta...
Complexity of exact solutions of many body systems: nonequilibrium steady sta...Complexity of exact solutions of many body systems: nonequilibrium steady sta...
Complexity of exact solutions of many body systems: nonequilibrium steady sta...
 
Proof of Brocard's Conjecture
Proof of Brocard's ConjectureProof of Brocard's Conjecture
Proof of Brocard's Conjecture
 
Minimum spanning tree algorithms by ibrahim_alfayoumi
Minimum spanning tree algorithms by ibrahim_alfayoumiMinimum spanning tree algorithms by ibrahim_alfayoumi
Minimum spanning tree algorithms by ibrahim_alfayoumi
 
Bird’s-eye view of Gaussian harmonic analysis
Bird’s-eye view of Gaussian harmonic analysisBird’s-eye view of Gaussian harmonic analysis
Bird’s-eye view of Gaussian harmonic analysis
 
Welcome to International Journal of Engineering Research and Development (IJERD)
Welcome to International Journal of Engineering Research and Development (IJERD)Welcome to International Journal of Engineering Research and Development (IJERD)
Welcome to International Journal of Engineering Research and Development (IJERD)
 
Maksim Zhukovskii – Zero-one k-laws for G(n,n−α)
Maksim Zhukovskii – Zero-one k-laws for G(n,n−α)Maksim Zhukovskii – Zero-one k-laws for G(n,n−α)
Maksim Zhukovskii – Zero-one k-laws for G(n,n−α)
 
I. Antoniadis - "Introduction to Supersymmetry" 1/2
I. Antoniadis - "Introduction to Supersymmetry" 1/2I. Antoniadis - "Introduction to Supersymmetry" 1/2
I. Antoniadis - "Introduction to Supersymmetry" 1/2
 
Solve Equations
Solve EquationsSolve Equations
Solve Equations
 
Hypothesis of Riemann's (Comprehensive Analysis)
 Hypothesis of Riemann's (Comprehensive Analysis) Hypothesis of Riemann's (Comprehensive Analysis)
Hypothesis of Riemann's (Comprehensive Analysis)
 
A Proof of the Riemann Hypothesis
A Proof of the Riemann  HypothesisA Proof of the Riemann  Hypothesis
A Proof of the Riemann Hypothesis
 
Kittel c. introduction to solid state physics 8 th edition - solution manual
Kittel c.  introduction to solid state physics 8 th edition - solution manualKittel c.  introduction to solid state physics 8 th edition - solution manual
Kittel c. introduction to solid state physics 8 th edition - solution manual
 

Viewers also liked

Bounded solutions of certain (differential and first order
Bounded solutions of certain (differential and first orderBounded solutions of certain (differential and first order
Bounded solutions of certain (differential and first order
Alexander Decker
 
Benchmarking to help shape corp website development Nina Björn Skanska 2012 1...
Benchmarking to help shape corp website development Nina Björn Skanska 2012 1...Benchmarking to help shape corp website development Nina Björn Skanska 2012 1...
Benchmarking to help shape corp website development Nina Björn Skanska 2012 1...
Comprend
 
Embracing diversity or reinforcing inequalities?
Embracing diversity or reinforcing inequalities?Embracing diversity or reinforcing inequalities?
Embracing diversity or reinforcing inequalities?
Sibrenne Wagenaar
 
Views of inequality
Views of inequalityViews of inequality
Views of inequality
Inge Salsabila Suryaman
 
Stability analysis of impulsive fractional differential systems with delay
Stability analysis of impulsive fractional differential systems with delayStability analysis of impulsive fractional differential systems with delay
Stability analysis of impulsive fractional differential systems with delay
Mostafa Shokrian Zeini
 
A short remark on Feller’s square root condition.
A short remark on Feller’s square root condition.A short remark on Feller’s square root condition.
A short remark on Feller’s square root condition.
Ilya Gikhman
 
Overview of Water Supply in Asian Cities
Overview of Water Supply in Asian CitiesOverview of Water Supply in Asian Cities
Overview of Water Supply in Asian Cities
Vitor Vieira Vasconcelos
 
Inequality in an OLG economy with heterogeneous cohorts and pension systems
Inequality in an OLG economy with heterogeneous cohorts and pension systemsInequality in an OLG economy with heterogeneous cohorts and pension systems
Inequality in an OLG economy with heterogeneous cohorts and pension systems
GRAPE
 
Pricing Policy in Marketing
Pricing Policy in MarketingPricing Policy in Marketing
Pricing Policy in Marketing
Rohit Ranganathan
 
On Local Integrable Solutions of Abstract Volterra Integral Equations
On Local Integrable Solutions of Abstract Volterra Integral EquationsOn Local Integrable Solutions of Abstract Volterra Integral Equations
On Local Integrable Solutions of Abstract Volterra Integral Equations
IOSR Journals
 

Viewers also liked (12)

Bounded solutions of certain (differential and first order
Bounded solutions of certain (differential and first orderBounded solutions of certain (differential and first order
Bounded solutions of certain (differential and first order
 
Benchmarking to help shape corp website development Nina Björn Skanska 2012 1...
Benchmarking to help shape corp website development Nina Björn Skanska 2012 1...Benchmarking to help shape corp website development Nina Björn Skanska 2012 1...
Benchmarking to help shape corp website development Nina Björn Skanska 2012 1...
 
HRISTOVA_VANKOVA_2012
HRISTOVA_VANKOVA_2012HRISTOVA_VANKOVA_2012
HRISTOVA_VANKOVA_2012
 
Embracing diversity or reinforcing inequalities?
Embracing diversity or reinforcing inequalities?Embracing diversity or reinforcing inequalities?
Embracing diversity or reinforcing inequalities?
 
Views of inequality
Views of inequalityViews of inequality
Views of inequality
 
Stability analysis of impulsive fractional differential systems with delay
Stability analysis of impulsive fractional differential systems with delayStability analysis of impulsive fractional differential systems with delay
Stability analysis of impulsive fractional differential systems with delay
 
A short remark on Feller’s square root condition.
A short remark on Feller’s square root condition.A short remark on Feller’s square root condition.
A short remark on Feller’s square root condition.
 
Overview of Water Supply in Asian Cities
Overview of Water Supply in Asian CitiesOverview of Water Supply in Asian Cities
Overview of Water Supply in Asian Cities
 
Inequality in an OLG economy with heterogeneous cohorts and pension systems
Inequality in an OLG economy with heterogeneous cohorts and pension systemsInequality in an OLG economy with heterogeneous cohorts and pension systems
Inequality in an OLG economy with heterogeneous cohorts and pension systems
 
Pricing Policy in Marketing
Pricing Policy in MarketingPricing Policy in Marketing
Pricing Policy in Marketing
 
On Local Integrable Solutions of Abstract Volterra Integral Equations
On Local Integrable Solutions of Abstract Volterra Integral EquationsOn Local Integrable Solutions of Abstract Volterra Integral Equations
On Local Integrable Solutions of Abstract Volterra Integral Equations
 
M0746274
M0746274M0746274
M0746274
 

Similar to SMB_2012_HR_VAN_ST-last version

Analysis Of Algorithms Ii
Analysis Of Algorithms IiAnalysis Of Algorithms Ii
Analysis Of Algorithms IiSri Prasanna
 
Rosser's theorem
Rosser's theoremRosser's theorem
Rosser's theorem
Wathna
 
Convexity in the Theory of the Gamma Function.pdf
Convexity in the Theory of the Gamma Function.pdfConvexity in the Theory of the Gamma Function.pdf
Convexity in the Theory of the Gamma Function.pdf
PeterEsnayderBarranz
 
Zeros of orthogonal polynomials generated by a Geronimus perturbation of meas...
Zeros of orthogonal polynomials generated by a Geronimus perturbation of meas...Zeros of orthogonal polynomials generated by a Geronimus perturbation of meas...
Zeros of orthogonal polynomials generated by a Geronimus perturbation of meas...
Edmundo José Huertas Cejudo
 
Some Examples of Scaling Sets
Some Examples of Scaling SetsSome Examples of Scaling Sets
Some Examples of Scaling Sets
VjekoslavKovac1
 
2018 MUMS Fall Course - Statistical Representation of Model Input (EDITED) - ...
2018 MUMS Fall Course - Statistical Representation of Model Input (EDITED) - ...2018 MUMS Fall Course - Statistical Representation of Model Input (EDITED) - ...
2018 MUMS Fall Course - Statistical Representation of Model Input (EDITED) - ...
The Statistical and Applied Mathematical Sciences Institute
 
Bound- State Solution of Schrodinger Equation with Hulthen Plus Generalized E...
Bound- State Solution of Schrodinger Equation with Hulthen Plus Generalized E...Bound- State Solution of Schrodinger Equation with Hulthen Plus Generalized E...
Bound- State Solution of Schrodinger Equation with Hulthen Plus Generalized E...
ijrap
 
maths convergence.pdf
maths convergence.pdfmaths convergence.pdf
maths convergence.pdf
Er. Rahul Jarariya
 
第5回CCMSハンズオン(ソフトウェア講習会): AkaiKKRチュートリアル 1. KKR法
第5回CCMSハンズオン(ソフトウェア講習会): AkaiKKRチュートリアル 1. KKR法第5回CCMSハンズオン(ソフトウェア講習会): AkaiKKRチュートリアル 1. KKR法
第5回CCMSハンズオン(ソフトウェア講習会): AkaiKKRチュートリアル 1. KKR法Computational Materials Science Initiative
 
Modeling biased tracers at the field level
Modeling biased tracers at the field levelModeling biased tracers at the field level
Modeling biased tracers at the field level
Marcel Schmittfull
 
lecture6.ppt
lecture6.pptlecture6.ppt
lecture6.ppt
AbhiYadav655132
 
Imc2017 day1-solutions
Imc2017 day1-solutionsImc2017 day1-solutions
Imc2017 day1-solutions
Christos Loizos
 
Variations on the method of Coleman-Chabauty
Variations on the method of Coleman-ChabautyVariations on the method of Coleman-Chabauty
Variations on the method of Coleman-Chabauty
mmasdeu
 
Delayed acceptance for Metropolis-Hastings algorithms
Delayed acceptance for Metropolis-Hastings algorithmsDelayed acceptance for Metropolis-Hastings algorithms
Delayed acceptance for Metropolis-Hastings algorithms
Christian Robert
 
Imc2016 day2-solutions
Imc2016 day2-solutionsImc2016 day2-solutions
Imc2016 day2-solutions
Christos Loizos
 
Robust Control of Uncertain Switched Linear Systems based on Stochastic Reach...
Robust Control of Uncertain Switched Linear Systems based on Stochastic Reach...Robust Control of Uncertain Switched Linear Systems based on Stochastic Reach...
Robust Control of Uncertain Switched Linear Systems based on Stochastic Reach...
Leo Asselborn
 
kactl.pdf
kactl.pdfkactl.pdf
kactl.pdf
Rayhan331
 

Similar to SMB_2012_HR_VAN_ST-last version (20)

Analysis Of Algorithms Ii
Analysis Of Algorithms IiAnalysis Of Algorithms Ii
Analysis Of Algorithms Ii
 
Rosser's theorem
Rosser's theoremRosser's theorem
Rosser's theorem
 
Convexity in the Theory of the Gamma Function.pdf
Convexity in the Theory of the Gamma Function.pdfConvexity in the Theory of the Gamma Function.pdf
Convexity in the Theory of the Gamma Function.pdf
 
Zeros of orthogonal polynomials generated by a Geronimus perturbation of meas...
Zeros of orthogonal polynomials generated by a Geronimus perturbation of meas...Zeros of orthogonal polynomials generated by a Geronimus perturbation of meas...
Zeros of orthogonal polynomials generated by a Geronimus perturbation of meas...
 
NODDEA2012_VANKOVA
NODDEA2012_VANKOVANODDEA2012_VANKOVA
NODDEA2012_VANKOVA
 
Some Examples of Scaling Sets
Some Examples of Scaling SetsSome Examples of Scaling Sets
Some Examples of Scaling Sets
 
2018 MUMS Fall Course - Statistical Representation of Model Input (EDITED) - ...
2018 MUMS Fall Course - Statistical Representation of Model Input (EDITED) - ...2018 MUMS Fall Course - Statistical Representation of Model Input (EDITED) - ...
2018 MUMS Fall Course - Statistical Representation of Model Input (EDITED) - ...
 
04_AJMS_330_21.pdf
04_AJMS_330_21.pdf04_AJMS_330_21.pdf
04_AJMS_330_21.pdf
 
Bound- State Solution of Schrodinger Equation with Hulthen Plus Generalized E...
Bound- State Solution of Schrodinger Equation with Hulthen Plus Generalized E...Bound- State Solution of Schrodinger Equation with Hulthen Plus Generalized E...
Bound- State Solution of Schrodinger Equation with Hulthen Plus Generalized E...
 
maths convergence.pdf
maths convergence.pdfmaths convergence.pdf
maths convergence.pdf
 
第5回CCMSハンズオン(ソフトウェア講習会): AkaiKKRチュートリアル 1. KKR法
第5回CCMSハンズオン(ソフトウェア講習会): AkaiKKRチュートリアル 1. KKR法第5回CCMSハンズオン(ソフトウェア講習会): AkaiKKRチュートリアル 1. KKR法
第5回CCMSハンズオン(ソフトウェア講習会): AkaiKKRチュートリアル 1. KKR法
 
Modeling biased tracers at the field level
Modeling biased tracers at the field levelModeling biased tracers at the field level
Modeling biased tracers at the field level
 
lecture6.ppt
lecture6.pptlecture6.ppt
lecture6.ppt
 
Imc2017 day1-solutions
Imc2017 day1-solutionsImc2017 day1-solutions
Imc2017 day1-solutions
 
Variations on the method of Coleman-Chabauty
Variations on the method of Coleman-ChabautyVariations on the method of Coleman-Chabauty
Variations on the method of Coleman-Chabauty
 
Delayed acceptance for Metropolis-Hastings algorithms
Delayed acceptance for Metropolis-Hastings algorithmsDelayed acceptance for Metropolis-Hastings algorithms
Delayed acceptance for Metropolis-Hastings algorithms
 
Imc2016 day2-solutions
Imc2016 day2-solutionsImc2016 day2-solutions
Imc2016 day2-solutions
 
Final
Final Final
Final
 
Robust Control of Uncertain Switched Linear Systems based on Stochastic Reach...
Robust Control of Uncertain Switched Linear Systems based on Stochastic Reach...Robust Control of Uncertain Switched Linear Systems based on Stochastic Reach...
Robust Control of Uncertain Switched Linear Systems based on Stochastic Reach...
 
kactl.pdf
kactl.pdfkactl.pdf
kactl.pdf
 

SMB_2012_HR_VAN_ST-last version

  • 1. Discrete generalization of Gronwall-Bellman inequality with maxima and application Snezhana Hristova1 Kremena Stefanova2 Liliana Vankova3 Abstract Several new types of linear discrete inequalities containing the maximum of the unknown function over a past time interval are solved. Some of these inequalities are applied to difference equations with maximum and the continuous dependence of a perturbation is studied. Key words : discrete Gronwall - Bellman type inequality, difference equations with maxima, bounds. AMS Subject Classifications : 39A22, 26D15, 39B62, 39A10, 47J20 1. Introduction The theory of finite difference equations has been rapidly developed in re- cent years and also it has been proved the fundamental importance of its applications in modeling of real world problems. At the same time there are many real world processes in which the present state depends signifi- cantly on its maximal value on a past time interval. Adequate mathematical models of these processes are so called difference equations with maximum. Meanwhile, this type of difference equations is not widely studied yet and there are only some isolated results ([3]). Finite difference inequalities which exhibit explicit bounds of unknown functions in general provide a very useful and important tool in the devel- opment of the theory of finite difference equations. During the past few years, motivated and inspired by their applications in various branches of difference equations, many such inequalities have been established ([1], [2], [4]). The main purpose of the paper is solving of a new type of linear dis- crete inequalities containing the maximum over a past time interval. Also it is applied to difference equations with maximum and the continuous de- pendence on a perturbation is studied. 1
  • 2. 2. Preliminary Notes Let R+ = [0, ∞), N be the set of the whole numbers (i.e. the numbers 0, 1, 2, 3, . . . ) and a, b ∈ N be such that a < b. Denote by N(a, b) = {k ∈ N : a ≤ k ≤ b} and N(a) = {k ∈ N : k ≥ a}. We will assume that m l=n = 0 and m l=n = 1 for n > m. In the proof of our main results we will need the following lemma: Lemma 1. [1, Theorem 4.1.1] Let f, q : N(a) → R+, p, u : N(a) → R and for all k ∈ N(a) be satisfied u(k) ≤ p(k) + q(k) k−1 l=a f(l)u(l). Then for all k ∈ N(a) the inequality u(k) ≤ p(k) + q(k) k−1 l=a p(l)f(l) k−1 τ=l+1 1 + q(τ)f(τ) (1) holds. Remark 1. Note Lemma 1 is true if p(k) and u(k) change sign on N(a). 3. Main Results Let a, h ∈ N be fixed such that a ≥ h. Theorem 1. Let the following conditions be fulfilled: 1. The functions p, g, G : N(a) → R+ are nondecreasing. 2. The functions q, Q : N(a) → R+ , the function ϕ : N(a − h, a) → R+, and max k∈ N(a−h, a) ϕ(k) ≤ p(a). 3. The function u : N(a − h) → R+ and satisfies the inequalities u(k) ≤ p(k)+g(k) k−1 l=a q(l)u(l)+G(k) k−1 l=a Q(l) max s∈[l−h, l] u(s), k ∈ N(a), (2) u(k) ≤ ϕ(k), k ∈ N(a − h, a). (3) Then for k ∈ N(a) the inequality u(k) ≤ p(k) + S(k) k−1 l=a p(l) q(l) + Q(l) k−1 τ=l+1 1 + S(τ) q(τ) + Q(τ) (4) holds, where S(k) = max g(k), G(k) for k ∈ N(a). 2
  • 3. P r o o f: Define a function z(k) : N(a − h) → R+ by the equalities z(k) =    p(k) + g(k) k−1 l=a q(l)u(l) +G(k) k−1 l=a Q(l) max s∈[l−h, l] u(s), for k ∈ N(a), p(a) for k ∈ N(a − h, a). For any k ∈ N(a), k ≥ a − 1 we have z(k + 1) = = p(k + 1) + g(k + 1) k l=a q(l)u(l) + G(k + 1) k l=a Q(l) max s∈[l−h, l] u(s) ≥ p(k + 1) + g(k + 1) k−1 l=a q(l)u(l) + G(k + 1) k−1 l=a Q(l) max s∈[l−h, l] u(s) ≥ p(k) + g(k) k−1 l=a q(l)u(l) + G(k) k−1 l=a Q(l) max s∈[l−h, l] u(s) = z(k). Therefore, the function z(k) is nondecreasing in N(a − h). From the definition of the function z(k), its monotonicity, inequalities (2), (3) and condition 2 it follows u(k) ≤ z(k), k ∈ N(a − h). Therefore, maxs∈[k−h, k] u(s) ≤ maxs∈[k−h, k] z(s) = z(k) for k ∈ N(a) and for any k ∈ N(a) we obtain z(k) ≤ p(k) + g(k) k−1 l=a q(l)z(l) + G(k) k−1 l=a Q(l)z(l) ≤ p(k) + S(k) k−1 l=a q(l) + Q(l) z(l). (5) According to Lemma 1 from inequality (5) we get for k ∈ N(a) z(k) ≤ p(k) + S(k) k−1 l=a p(l) q(l) + Q(l) k−1 τ=l+1 1 + S(τ) q(τ) + Q(τ) . (6) Inequality (6) implies the validity of the required inequality (4). 3
  • 4. Corollary 1. Let the conditions 2, 3 of Theorem 1 be satisfied where p(k) ≡ p, g(k) ≡ g, G(k) ≡ G for k ∈ N(a) and p, g, G ≥ 0 are constants. Then u(k) ≤ p k−1 l=a 1 + S q(l) + Q(l) for k ∈ N(a), where S = max g, G . Remark 2. The proof of Corollary 1 is based on the inequality b l=a A(l) b τ=l+1 (1 + A(τ)) ≤ b l=a (1 + A(l)). Corollary 2. Let the conditions of Theorem 1 be satisfied and g(k) ≥ 1, G(k) ≥ 1 for k ∈ N(a). Then u(k) ≤ p(k)S(k) k−1 l=a 1 + S(l) q(l) + Q(l) for k ∈ N(a). Corollary 3. Let the conditions 2, 3 of Theorem 1 be satisfied where p(k) ≡ p = const ≥ 0 and g(k) = G(k) = 1 for k ∈ N(a). Then u(k) ≤ p k−1 l=a 1 + q(l) + Q(l) for k ∈ N(a). 4. Applications Let a, b ∈ N : a < b ≤ ∞ and the function τ : N(a, b) → N be given such that there exists h ∈ N, h ≤ a: k − h ≤ τ(k) ≤ k for k ∈ N(a, b). Let u : N → R. Denote ∆u(k) = u(k + 1) − u(k), k ∈ N. Consider the following difference equation with “maxima”: ∆u(k) = f k, u(k), max s∈N(τ(k), k) u(s) , k ∈ N(a, b), (7) and its perturbed difference equation with “maxima”: ∆v(k) = f k, v(k), max s∈N(τ(k), k) v(s) + g k, v(k) , k ∈ N(a, b) (8) with initial condition u(k) = ϕ(k), k ∈ N(a − h, a). (9) Remark 3. Note that in the case τ(k) ≡ k the equation with maxima (7) reduces to a difference equation which is well known in the literature ([1]). 4
  • 5. In our further investigations we will assume the initial value problems (7), (9) and (8), (9) have solutions u(k) and v(k) for k ∈ N(a − h, b). Theorem 2. (Continuous dependence on the perturbation). Let the follow- ing conditions be fulfilled: 1. The function f : N(a, b) × R × R → R satisfies Litschitz condition |f(k, x1, y1) − f(k, x2, y2)| ≤ λ(k)|x1 − x2| + ˜λ(k)|y1 − y2|, where xi, yi ∈ R, k ∈ N(a, b) and the functions λ, ˜λ : N(a, b) → R+. 2. The function g : N(a, b) × R → R satisfies the condition g(k, ζ) ≤ µ(k), k ∈ N(a, b), ζ ∈ R, (10) where the function µ : N(a, b) → R+ and b k=a µ(k) = M < ∞. 3. The function ϕ : N(a − h, a) → R. Then for k ∈ N(a, b) the following inequality hold u(k) − v(k) ≤ M k−1 l=a 1 + λ(l) + ˜λ(l) . (11) P r o o f: The functions u(k) and v(k) satisfies the equalities u(k) = v(k) for k ∈ N(a − h, a) and for k ∈ N(a, b): u(k) = ϕ(a) + k−1 l=a f l, u(l), max s∈N(τ(l), l) u(s) v(k) = ϕ(a) + k−1 l=a f l, v(l), max s∈N(τ(l), l) v(s) + g l, v(l) . Then since N(τ(k), k) ⊂ [k − h, k] we get for k ∈ N(a) u(k)−v(k) ≤ M + k−1 l=a λ(l) u(l)−v(l) + k−1 l=a ˜λ(l) max s∈[l−h, l] u(s)−v(k) . (12) According to Corollary 3 from inequality (12) we obtain inequal- ity (11). 5
  • 6. EXAMPLE. Consider the linear difference equation with ”maxima” u(k + 1) = Au(k) + B max s∈N(τ(k), k) u(s), k ∈ N(a, b), (13) and the perturbed difference equation with ”maxima” v(k + 1) = Av(k) + B max s∈N(τ(k), k) v(s) + e−v(k) 2k , k ∈ N(a, b), (14) with initial conditions u(k) = v(k) = C, k ∈ N(a − h, a), where A = const ≥ 1, B = const ≥ 0, C = const ≥ 0. Then λ(k) ≡ A − 1 ≥ 0 and ˜λ(k) ≡ B ≥ 0 for k ∈ N(a, b). Let g k, v = e−v 2k . Then µ(k) = 1 2k and b k=a 1 2k ≤ 2 = M < ∞. According to Theorem 2 we get u(k) − v(k) ≤ 2 A + B k−a−1 , k ∈ N(a + 1, b). Acknowledgments. The research was partially supported by Grand NI11FMI004/30.05.2011, Fund Scientific Research, Plovdiv University. References [1] R. P. Agarwal, Difference Equations and Inequalities: Theory, Methods and Applications, CRC Press, 2000. [2] S. Elaydi, Introduction to Difference Equations and Inequalities: The- ory, Methods and Applications, CRC Press, 2000. [3] J.W. Luo, D.D. Bainov, Oscillatory and asymptotic behavior of second-order neutral difference equations with maxima, J. Comput. Appl. Math., 131 (2001) 333–341. [4] C. Wing-Sum, M. Qing-Hua, J. Pecaric, Some discrete nonlinear inequalities and applications to difference equations, Acta Math. Sci., 28B(2), 2008, 417–430. Faculty of Mathematics and Informatics, Plovdiv University, Plovdiv 4000, Bulgaria e-mail 1 : snehri@uni-plovdiv.bg e-mail 2 : kstefanova@uni-plovdiv.bg e-mail 3 : lilqna.v@gmail.com 6