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Research article Β· 2016 Β· Full text

International Journal of Statistics and Applied Mathematics

Ulam stability of radical functional equation in the sense of Hyers, Rassias and Gavruta

BV Senthil KumarAshish KumarP. Narasimman

Volume 1(4) Β· Pages 06–12

Research areasChemical Synthesis and ReactionsFunctional Equations Stability ResultsPharmacy and Medical Practices

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Abstract

Author-written

The aim of this paper is to obtain the general solution of a radical functional equation of the form s(x+y+2√xy)=s(x)+s(y) and investigate its generalized Hyers-Ulam-Rassias stability. Further, we extend the results pertinent to D.H. Hyers, Th.M. Rassias and J.M. Rassias. We also provide counter-examples for critical values relevant to Hyers-Ulam-Rassias stability, Ulam-Gavruta-Rassias stability and J.M. Rassias stability controlled by mixed product-sum of powers of norms.

Summary

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Plain-language reading of the full paper, prepared with AI and checked against the text. Each point links to the authors' own words.

  1. Why it matters

    • Stability in functional equations refers to a condition where a slight disturbance in a system does not lead to a significant consequence, meaning a near-solution remains close to the exact solution. View evidence β†—

      Why it matters

      Stability in functional equations refers to a condition where a slight disturbance in a system does not lead to a significant consequence, meaning a near-solution remains close to the exact solution.

      In the paper's own words

      β€œIn mathematics, a stipulation in which a slight disturbance in a system does not create a considerable disturbing consequence on that system. An equation is said to be stable if a slightly different solution is close to the exact solution of that equation.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 β†—
    • The study of stability is essential for mathematical models of physical problems because it allows researchers to manage errors resulting from measurement deviations. View evidence β†—

      Why it matters

      The study of stability is essential for mathematical models of physical problems because it allows researchers to manage errors resulting from measurement deviations.

      In the paper's own words

      β€œIn mathematical models of physical problems, the deviations in measurements will result with errors and these deviations can be dealt with the stability of equations. Hence the stability of equations is essential in mathematical models.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 β†—
    • The investigation into the stability of functional equations was inspired by a talk given by S.M. Ulam in 1940. View evidence β†—

      Why it matters

      The investigation into the stability of functional equations was inspired by a talk given by S.M. Ulam in 1940.

      In the paper's own words

      β€œAn interesting and eminent talk given by S.M. Ulam [28] in 1940, inspired to study the investigation of stability of functional equations.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 β†—
  2. What they did

    • The study assumes that $X$ is the space of non-negative real numbers. View evidence β†—

      What they did

      The study assumes that $X$ is the space of non-negative real numbers.

      In the paper's own words

      β€œThroughout this paper, let us assume that 𝑋𝑋 be the space of non-negative real numbers.”

      Page 2

      Found in: Introduction

      Read it in the full textOpen PDF at page 2 β†—
  3. What they found

    • The authors prove that if a mapping $f$ satisfies a specific functional inequality controlled by a mapping $Ο†$, there exists a unique square root mapping $s$ that satisfies the original equation and is close to $f$. View evidence β†—

      What they found

      The authors prove that if a mapping $f$ satisfies a specific functional inequality controlled by a mapping $Ο†$, there exists a unique square root mapping $s$ that satisfies the original equation and is close to $f$.

      In the paper's own words

      β€œThen there exists a unique square root mapping 𝑠𝑠: 𝑋𝑋→ℝ which satisfies (1.6) and the inequality |𝑓𝑓(π‘₯π‘₯) βˆ’π‘ π‘ (π‘₯π‘₯)| ≀Φ(π‘₯π‘₯, π‘₯π‘₯) for all π‘₯π‘₯βˆˆπ‘‹π‘‹.”

      Page 3

      Found in: Generalized Hyers-Ulam Stability of Equation (1.6)

      Read it in the full textOpen PDF at page 3 β†—
  4. What it means

    • The authors conclude that they have successfully determined the general solution and proved the Ulam stability of the radical functional equation across several established stability frameworks. View evidence β†—

      What it means

      The authors conclude that they have successfully determined the general solution and proved the Ulam stability of the radical functional equation across several established stability frameworks.

      In the paper's own words

      β€œThus we have obtained the general solution and proved the Ulam stability of the functional equation (1.6) pertinent to D.H. Hyers, Th.M. Rassias, J.M. Rassias and P. Gavruta.”

      Page 6

      Found in: Introduction

      Read it in the full textOpen PDF at page 6 β†—
    • The authors further conclude that the equation is unstable in specific singular cases, as demonstrated by their counter-examples. View evidence β†—

      What it means

      The authors further conclude that the equation is unstable in specific singular cases, as demonstrated by their counter-examples.

      In the paper's own words

      β€œFurther, we have shown that the functional equation (1.6) is not stable for singular cases by illustrating counter-examples.”

      Page 6

      Found in: Introduction

      Read it in the full textOpen PDF at page 6 β†—

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FULL TEXT Original article Β· reflowed for reading

Introduction

The stability of functional equations is an interesting topic that has been dealt for the last six decades. In mathematics, a stipulation in which a slight disturbance in a system does not create a considerable disturbing consequence on that system. An equation is said to be stable if a slightly different solution is close to the exact solution of that equation. In mathematical models of physical problems, the deviations in measurements will result with errors and these deviations can be dealt with the stability of equations. Hence the stability of equations is essential in mathematical models. A stable solution will be sensible in spite of such deviations. An interesting and eminent talk given by S.M. Ulam [28] in 1940, inspired to study the investigation of stability of functional equations. He posed the following question pertaining to the stability of homomorphisms in groups: Let 𝒳𝒳 be a group and 𝒴𝒴 be a metric group with metric 𝑑𝑑(β€’,β€’). Given πœ–πœ– β‰₯ 0 does there exist a 𝛿𝛿 β‰₯ 0 such that if a function 𝑓𝑓: 𝒳𝒳 β†’ 𝒴𝒴 fulfills 𝑑𝑑(𝑓𝑓(π‘₯π‘₯𝑦𝑦), 𝑓𝑓(π‘₯π‘₯)𝑓𝑓(𝑦𝑦) ≀ 𝛿𝛿 for all π‘₯π‘₯, 𝑦𝑦 ∈ 𝒳𝒳, then there exists a homomorphism 𝑔𝑔: 𝒳𝒳 β†’ 𝒴𝒴 with 𝑑𝑑(𝑓𝑓(π‘₯π‘₯), 𝑔𝑔(π‘₯π‘₯)) ≀ πœ–πœ– for all π‘₯π‘₯ ∈ 𝒳𝒳? If the answer is confirmative, then the functional equation for homomorphism is said to be stable. The foremost answer to the question of S.M. Ulam was provided by D.H. Hyers [12] . He brilliantly answered the question of Ulam by considering 𝒳𝒳 and 𝒴𝒴 as Banach spaces. The result of Hyers is stated in the following celebrated theorem. The stability resulted provided by Hyers in the following theorem is referred as Hyers-Ulam stability.

Theorem 1.1. (D.H. Hyers [12] )Let 𝑓𝑓: 𝒳𝒳 β†’ 𝒴𝒴 be a mapping between Banach spaces such that

for all π‘₯π‘₯, 𝑦𝑦 ∈ 𝒳𝒳 and for some 𝛿𝛿 > 0, then the limit

exists for each π‘₯π‘₯ ∈ 𝒳𝒳. Then there exist a unique additive mapping 𝐴𝐴: 𝒳𝒳 β†’ 𝒴𝒴 such that

for all π‘₯π‘₯ ∈ 𝒳𝒳. In addition if 𝑓𝑓(𝑑𝑑π‘₯π‘₯) is continuous in 𝑑𝑑 for each fixed π‘₯π‘₯ ∈ 𝒳𝒳, then 𝐴𝐴 is linear.

After Hyers gave a positive answer to Ulam's question, a huge number of papers have been published in association with various simplifications of Ulam's problem and Hyers theorem. Hyers theorem was generalized by T. Aoki [1] in 1950 for additive mappings. Since there is no elucidation for the boundedness of Cauchy difference 𝑓𝑓(π‘₯π‘₯ + 𝑦𝑦) -𝑓𝑓(π‘₯π‘₯) -𝑓𝑓(𝑦𝑦)in the expression of (1.1), in the year 1978, Th.M. Rassias [26] tried to weaken the stipulation for the Cauchy difference and thrived in proving what is now known to be the Hyers-Ulam-Rassias stability for the Additive Cauchy Equation. This jargon is reasonable because the theorem of Th.M. Rassias has strongly persuaded many mathematicians studying stability problems of functional equation. During 1982-1989, J.M. Rassias ( [18][19][20] ) provided a further generalization of the result of D.H. Hyers and established a theorem using weaker conditions controlled by a product of different powers of norms and this type of stability is termed as Ulam-Gavruta-Rassias stability.

A generalized and modified form of the theorem evolved by Th.M. Rassias was promoted by P. Gavruta [10] who replaced the unbounded Cauchy difference by motivating into study a general control function within the viable approach designed by Th.M. Rassias and this type of stability is celebrated as Generalized Hyers-Ulam stability.

The investigation of stability of functional equations involving with the mixed type product-sum of powers of norms is introduced by K. Ravi et al. [23] is called J.M. Rassias stability controlled by mixed product-sum of powers of norms.

For the last four decades, many mathematicians have investigated various stability results of several functional equations like additive, quadratic, cubic, quartic, quintic, sextic, septic, octic and nonic, functional equations (refer [2-4, [7, 8, 14, 16, 17, 21, 22, 29, 30] ). There are many interesting results concerning this problem and many research monographs are also available in functional equations, one can see ( [5,6,13,15,27] ). K. Ravi and P. Narasimman [24] obtained the generalized Hyers-Ulam stability of a radical reciprocal-quadratic functional equation

𝑓𝑓(π‘₯π‘₯)+𝑓𝑓(𝑦𝑦) (1.4) in Banach spaces. The reciprocal-quadratic function 𝑓𝑓(π‘₯π‘₯) = 𝑐𝑐 π‘₯π‘₯ 2 is a solution of the functional equation (1.4). K. Ravi et al. [25] investigated the generalized Hyers-Ulam stability of a generalized radical-quadrtic functional equation

in Felbin's type fuzzy normed linear spaces.

In this paper, we introduce a new radical type functional equation of the form 𝑠𝑠�π‘₯π‘₯ + 𝑦𝑦 + 2οΏ½π‘₯π‘₯𝑦𝑦� = 𝑠𝑠(π‘₯π‘₯) + 𝑠𝑠(𝑦𝑦).

The radical function 𝑠𝑠(π‘₯π‘₯) = √π‘₯π‘₯ is a solution of the functional equation (1.6). We achieve the general solution of the functional equation (1.6) and investigate its generalized Hyers-Ulam stability, Hyers-Ulam stability, Hyers-Ulam-Rassias stability, Ulam-Gavruta-Rassias stability and J.M. Rassias stability controlled by mixed product-sum of powers of norms. We also prove that the functional equation (1.6) is not stable for critical values associated with the results of Th.M. Rassias and J.M. Rassias via counter-examples. Throughout this paper, let us assume that 𝑋𝑋 be the space of non-negative real numbers.

Preliminaries

In this section, we introduce the following definition and theorem in order to proceed further to our main results.

Definition 2.1. A mapping 𝑠𝑠: 𝑋𝑋 β†’ ℝ is called square root mapping, if the functional equation (1.6) holds for all π‘₯π‘₯, 𝑦𝑦 ∈ 𝑋𝑋. Note that the mapping 𝑠𝑠 is called square root mapping because the following algebraic identity

holds for all π‘₯π‘₯, 𝑦𝑦 ∈ 𝑋𝑋 and 𝑠𝑠 satisfies the functional equations

2) for all π‘₯π‘₯ ∈ 𝑋𝑋 and 𝑛𝑛 ∈ β„•. Theorem 2.2. Let 𝑠𝑠: 𝑋𝑋 β†’ ℝ be a square root mapping satisfying (1.6). Then 𝑠𝑠 satisfies the general functional equations (2.1) and ( 2.2) for all π‘₯π‘₯ ∈ 𝑋𝑋 and 𝑛𝑛 ∈ β„•.

Proof. Letting π‘₯π‘₯ = 0 and 𝑦𝑦 = 0 in (1.6), we obtain 𝑠𝑠(0) = 0.

for all π‘₯π‘₯ ∈ 𝑋𝑋. Now, letting π‘₯π‘₯ as π‘₯π‘₯ 4 in (2.6), we obtain𝑠𝑠(2 -6 π‘₯π‘₯) = 2 -3 𝑠𝑠(π‘₯π‘₯), for all π‘₯π‘₯ ∈ 𝑋𝑋. Proceeding further and using induction on a positive integer 𝑛𝑛, we obtain (2.2), which completes the proof.

General Solution of Functional Equation (1.6)

In this section, we obtain the general solution of functional equation (1.6) in the setting of space of real numbers.

Generalized Hyers-Ulam Stability of Equation (1.6)

In this section, we investigate the generalized Hyers-Ulam stability of the functional equation (1.6) in the setting of space of real numbers. We also extend the stability results in the spirit of Hyers, Th.M. Rassias and J.M. Rassias.

Theorem 4.1. Let πœ™πœ™: 𝑋𝑋 Γ— 𝑋𝑋 β†’ ℝ be a mapping satisfying

for all π‘₯π‘₯, 𝑦𝑦 ∈ 𝑋𝑋. Let 𝑓𝑓: 𝑋𝑋 β†’ ℝ be a mapping such that

for all π‘₯π‘₯, 𝑦𝑦 ∈ 𝑋𝑋. Then there exists a unique square root mapping 𝑠𝑠: 𝑋𝑋 β†’ ℝ which satisfies (1.6) and the inequality

for all π‘₯π‘₯ ∈ 𝑋𝑋. The mapping 𝑠𝑠(π‘₯π‘₯) is defined by This shows that the sequence {2

for all π‘₯π‘₯, 𝑦𝑦 ∈ 𝑋𝑋. Let 𝑓𝑓: 𝑋𝑋 β†’ ℝ be a mapping such that (4.2) holds for all π‘₯π‘₯, 𝑦𝑦 ∈ 𝑋𝑋. Then there exists a unique square root mapping 𝑠𝑠: 𝑋𝑋 β†’ ℝ which satisfies (1.6) and the inequality

|𝑓𝑓(π‘₯π‘₯) -𝑠𝑠(π‘₯π‘₯)| ≀ Ξ¦(π‘₯π‘₯, π‘₯π‘₯)

for all π‘₯π‘₯ ∈ 𝑋𝑋. The mapping 𝑠𝑠(π‘₯π‘₯) is defined by in (4.9), multiplying by 2 and summing the resulting inequality with (4.9), one gets

for all π‘₯π‘₯ ∈ 𝑋𝑋. Proceeding further and using induction on a positive integer 𝑛𝑛, we conclude that

for all π‘₯π‘₯ ∈ 𝑋𝑋. The rest of the proof is obtained by similar arguments as in Theorem 4.1. Proof. By choosing πœ™πœ™(π‘₯π‘₯, 𝑦𝑦) = 𝑐𝑐 3 οΏ½|π‘₯π‘₯| 𝛼𝛼 |𝑦𝑦| 𝛼𝛼 + (|π‘₯π‘₯| 2𝛼𝛼 + |𝑦𝑦| 2𝛼𝛼 )οΏ½, for all π‘₯π‘₯, 𝑦𝑦 ∈ 𝑋𝑋 in Theorems 4.1 and 4.2, the proof is obtained.

Counter-Examples for Singular Cases

In this section, we present counter-examples to prove that the functional equation (1.6) isnot stable for singular cases in Corollaries 4.4, 4.5 and 4.6.

Using the idea of Z. Gajda [9] , we construct the following counter-example to prove that the Corollary 4.4 is false for 𝑝𝑝 =

Define a mapping 𝑓𝑓: 𝑋𝑋 β†’ ℝ by

for all π‘₯π‘₯ ∈ 𝑋𝑋, where the function πœ‘πœ‘: 𝑋𝑋 β†’ ℝ is given by πœ‘πœ‘(π‘₯π‘₯) = οΏ½ πœ‡πœ‡βˆšπ‘₯π‘₯, for all π‘₯π‘₯, 𝑦𝑦 ∈ (0,1) πœ‡πœ‡, otherwise.

Then the function 𝑓𝑓 serves as a counter-example for 𝑝𝑝 = (5.4) for all π‘₯π‘₯ ∈ 𝑋𝑋.

, then the left-hand side of (5.3) is less than 6πœ‡πœ‡. Now, suppose that0

. Then there exists a positive integer π‘˜π‘˜ such that Therefore, the inequality (5.3) holds true. We claim that the square root functional equation (1.6) is not stable for 𝑝𝑝 = Inspired by the counter-example provided by P. Gavruta in [11] , we present the following example which establishes that the Corollary 4.5 is false for 𝜌𝜌 = π‘Žπ‘Ž + 𝑏𝑏 = -π‘Žπ‘ŽοΏ½ in (5.12), it follows that

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