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Case report Topical Sections

Thyrotoxic periodic paralysis together with thyrotoxic heart disease in a Ghanaian man: case report and literature review

  • Received: 22 January 2023 Revised: 28 February 2023 Accepted: 06 March 2023 Published: 15 March 2023
  • Thyrotoxic periodic paralysis (TPP) is an uncommon symmetrical paralysis usually affecting proximal muscles, which occurs in the hyperthyroid state with associated hypokalemia. It is more prevalent in East Asian males and extremely rare in blacks. Data on TPP is scarce in Africa and no report has been made in Ghana. We report a case of a middle-aged Ghanaian man who had three episodes of paralysis in all four limbs occurring at night with the second and third episodes requiring hospital visit. He had no clinical signs of hyperthyroidism during his first hospital visit but had developed clinical and biochemical evidence of hyperthyroidism on the second visit with serum potassium levels of 1.9 mmol/l; and he was eventually diagnosed with TPP. His paralysis resolved with correction of the hypokalemia. It is important to evaluate patients presenting with paralysis comprehensively. Less common differential diagnosis such as TPP may also be considered in such patients to ensure early diagnosis and treatment which can prevent complications.

    Citation: Gordon Manu Amponsah, Yaw Adu-Boakye, Maureen Nyarko, Henry Kofi Andoh, Kwaku Gyasi Danso, Manolo Agbenoku, Isaac Kofi Owusu. Thyrotoxic periodic paralysis together with thyrotoxic heart disease in a Ghanaian man: case report and literature review[J]. AIMS Medical Science, 2023, 10(1): 46-54. doi: 10.3934/medsci.2023005

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  • Thyrotoxic periodic paralysis (TPP) is an uncommon symmetrical paralysis usually affecting proximal muscles, which occurs in the hyperthyroid state with associated hypokalemia. It is more prevalent in East Asian males and extremely rare in blacks. Data on TPP is scarce in Africa and no report has been made in Ghana. We report a case of a middle-aged Ghanaian man who had three episodes of paralysis in all four limbs occurring at night with the second and third episodes requiring hospital visit. He had no clinical signs of hyperthyroidism during his first hospital visit but had developed clinical and biochemical evidence of hyperthyroidism on the second visit with serum potassium levels of 1.9 mmol/l; and he was eventually diagnosed with TPP. His paralysis resolved with correction of the hypokalemia. It is important to evaluate patients presenting with paralysis comprehensively. Less common differential diagnosis such as TPP may also be considered in such patients to ensure early diagnosis and treatment which can prevent complications.



    Differential variational inequality is a dynamical system that includes variational inequalities and ordinary differential equations. Differential variational inequalities plays an important role for formulating models involving both dynamics and inequality constraints. Aubin and Cellina [3] introduced the concept of differential variational inequality and after that it was studied by Pang and Stewart [25]. The partial differential variational inequalities was studied by Liu, Zeng and Motreanu [15] and shown that the solution set is compact and continuous. There are some obstacles in their work that constraint set necessarily be compact and only local boundary conditions are satisfied. Liu, Migórskii and Zeng [14] relaxed the conditions of [15] and proved the existence of partial differential variational inequality in non-compact setting. Properties of solution set like strong-weak upper semicontinuity and measurability was proved by them.

    Differential variational inequalities are application oriented and have several applications in engineering and physical sciences, operation research, etc. In particular, they are applicable in electrical circuits with ideal diodes, economical dynamics, dynamic traffic network, functional problems, differential Nash games, control systems, etc., see for example [1,2,16,17,18,19,20,23,26,27,31].

    Evolution equation can be explained as the differential law of the development (evolution) in time of a system. The evolution character of the equation make easier its numerical solution. Variational-like inequality is a generalized form of a variational inequalities and has many applications in operations research, optimization, convex mathematical programming, etc. On the other hand, many problems of engineering and applied sciences can be solved by using second order evolution equation, see for example [5,6,9,10,12,13,22,28,30,32,33].

    Throughout the paper, we assume ~B1 and ~B2 denote separable reflexive Banach spaces and ˆK(ϕ) be convex and closed subset of ~B1. We define some mapping below, that is,

    ˜F:[0,T]×~B2×~B2L(~B1,~B2),˜f:[0,T]×~B2×~B2~B2,˜g:[0,T]×~B2×~B2~B2,˜A:ˆK~B1,η:ˆK׈K~B1,ψ:˜KR{+}, where T>0.

    Inspired by the above discussed work, in this paper, we introduce and study a second order evolutionary partial differential variational-like inequality in Banach spaces. We mention our problem below:

    {y(x)=˜Ay(x)+˜F(x,y(x),y(x))ˆu(x)+˜f(x,y(x),y(x)), a.e. x[0,T],ˆu(x)Sol(˜K,˜g(x,y(x),y(x))+˜A(),ψ), a.e. x[0,T],y(0)=y0,y(0)=y0. (2.1)

    We also consider a variational-like inequality problem of finding ˆu:[0,T]ˆK such that

    ˜g(x,y(x),y(x))+˜A(ˆu(x)),η(ˆv,ˆu(x))+ψ(ˆv)ψ(ˆu(x))0,ˆvˆK, a.e. x[0,T]. (2.2)

    The solution set of problem (2.2) is denoted by Sol[(2.1)].

    The mild solution of problem (2.1) is described by the following definition.

    Definition 2.1. A pair of function (y,ˆu) such that yC1([0,T],~B2) and ˆu:[0,T]ˆK(~B1) measurable, called mild solution of problem (2.1) if

    y(x)=Q(x)y0+R(x)y0+x0R(xp)[˜F(p,y(p),y(p))ˆu(p)+˜f(p,y(p),y(p))]dp,

    where x[0,T] and ˆu(p)Sol(ˆK,˜g(p,y(p),y(p))+A(,ψ). R(x) will be defined in continuation. Here, Sol(ˆK,ˆw+A(.),ψ) denotes the solution set of mixed variational-like inequality (3.1). If (y,ˆu) is a mild solution of above assumed problem, then y is said to be the mild trajectory and ˆu is called the variational control trajectory. Here C1([0,T],~B2) denotes the Banach space of all continuous differentiable mappings y:[0,T]~B2 with norm

    yC1=max{maxx[0,T]y(x),maxx[0,T]y(x)},

    and L(~B2) denotes the Banach space of bounded linear operators from ~B2 into ~B2.

    The subsequent part of this paper is organised in this way. In the next section, some definitions and results are defined, which will be used to achieve our goal. In Section 3, an existence result for variational-like inequalities is proved. Also, we have proved that Sol(ˆK,ˆw+A(.),ψ) is nonempty, closed and convex. The upper semicontinuity of the multi-valued mapping F:[0,T]×~B2×~B2Πbv(^B1) is discussed. In the last section, we have proved that the existence result for the mild solution of second order evolutionary partial differerntial variational-like inequalities under some appropriate conditions.

    Let ^X1 and ^X2 are topological spaces. We shall use Π(^X2) to denote the family of all nonempty subsets of X2, and

    Πc(^X2):={ˆDΠ(^X2):ˆD is closed};

    Πb(^X2):={ˆDΠ(^X2):ˆD is bounded};

    Πbc(^X2):={ˆDΠ(^X2):ˆD is bounded and closed};

    Πcv(^X2):={ˆDΠ(^X2):ˆD is closed and convex};

    Πbv(^X2):={ˆDΠ(^X2):ˆD is bounded and convex};

    Πkv(^X2):={ˆDΠ(^X2):ˆD is compact and convex}.

    One parameter family Q(x), where x is real number, of bounded linear operators from a Banach space ^B2 into itself is called a strongly continuous cosine family if and only if

    (1) Q(x+p)+Q(xp)=2C(x)C(p),x,pR,

    (2) Q(0)=I,(I is the identity operator in ^B2),

    (3) Q(x)w is continuous in x on R for every fixed w^B2.

    We associate with the strongly continuous cosine family Q(x) in ^B2 the strongly continuous sine family R(x), such that

    R(x)W=x0Q(p)wdp,w^B2,xR,

    and the two sets

    E1={w^B2:Q(x)uis one time continuously differentiable in  x  on R},E2={w^B2:Q(x)wis two times continuously differentiable in  x  onR}.

    The operator A:D(A)^B2^B2 is the infinitesimal generator of a strongly continuous cosine family Q(x), xR defined by A(y)=d2/dx2Q(0)ywith D(A)=E2.

    Proposition 2.1. [29] Let Q(x),xR be a strongly continuous cosine family in ^B1. Then the following hold:

    (i) Q(x)=Q(x), xR,

    (ii) Q(p),R(p),Q(x),andR(x)commute x,pR,

    (iii) R(x+p)+Q(xp)=2R(x)Q(p), x,pR,

    (iv) R(x+p)=R(x)Q(p)+R(p)C(x), x,pR,

    (v) R(x)=R(x), xR.

    For furthure information related to the properties of the sine and cosine families, see [12,23,27] and references therein.

    Definition 2.2. [21] Let ^X1,^X2 are topological spaces. Then the multi-valued mapping ˆF:^X1Π(^X2) is said to be:

    (i) Upper semicontinuous (u.s.c., in short) at x^X1, if for each open set U^X2 with ˆF(x)U, a neighbourhood N(x) of x such that

    ˆF(N(x)):=ˆF(y)yN(x)U.

    If ˆF is u.s.c. x^X1, then ˆF is said to be upper semicontinuous on ^X1.

    (ii) Lower semicontinuous (l.s.c., in short) at x^X1 if, for each open set U^X2 satisfying ˆFUϕ, a neighbourhood N(x) of x such that ˆFUϕ yN(x). If ˆF is l.s.c. x^X1, then ˆF is called lower semicontinuous on ^X1.

    Proposition 2.2. [21] Let ˆF:^X1Π(^X2) be a multi-valued mapping, where ^X1,and^X2 denote topological vector spaces. Then the following are equivalent:

    (i) ˆF is upper semicontinuous,

    (ii) the set

    ˆF(C)={x^X1:ˆF(x)Cϕ},

    is closed in ^X1, for each closed set C^X2,

    (iii) the set

    ˆF+(C)={x^X1:ˆF(x)U},

    is open in ^X1, for each open set U^X2.

    Proposition 2.3. [4] Let Ω(ϕ) subset of Banach space ˆX. Assume that the multi-valued mapping ˆF:ΩΠ(ˆX) is weakly compact and convex. Then, ˆF is strongly-weakly u.s.c. if and only if {xn}Ω with xnx0Ω and ynˆF(xn) implies yny0ˆF(x0) up to a subsequence.

    Lemma 2.1. [7] Let {xn} be a sequence such that xnˉx in a normed space V. Then there is a sequence of combinations {yn} such that

    yn=i=nλixi,i=nλi=1andλi0,1i,

    which converges to ˉx in norm.

    Now we define the measurability of a multi-valued mapping, which is needed in the proof of existence of solution of second order evolutionary partial differential variational-like inequality problem (2.1).

    Definition 2.3. [11,21]

    (i) A multi-valued mapping ˆF:IΠ(ˆX) is called measurable if for each open subset UˆX the set ˆF+(U) is measurable in R.

    And

    (ii) the multi-valued mapping ˆF:IΠbc(ˆX) is called strongly measurable if a sequence {ˆFn}n=1 of step set-valued mappings such that

    ˆH(ˆF(t),ˆFn(t))0,asn,tI a.e.,

    here ˆX denotes Banach space, I be an interval of real numbers and ˆH(.,.) denotes the Hausdorff metric on Πbc(ˆX).

    Definition 2.4. [11,34] Let ˆX be Banach space and (F,) be a partial ordered set. A function β:Πb(ˆX)F is called a measure of non compactness (MNC, for short) in ˆX if

    β(¯convO)=β(O)foreveryOΠb(ˆX),

    here ¯convO showing the closure of convex hull of O.

    Definition 2.5. [34] A measure of non compactness β is called

    (i) monotone, if O0,O1Πb(ˆX) and O0O1 implies β(O0)β(O1),

    (ii) nonsingular, if β(aO)=β(O) aˆX and OΠb(ˆX),

    (iii) invariant with respect to union of compact set, if β(KO)=β(O) for each relatively compact set KˆX and OΠb(ˆX),

    (iv) algebraically semiadditive, if β(O0+O1)β(O0)+β(O1) for every O0,O1Πb(ˆX),

    (v) regular, if β(O)=0 is equivalent to the relative compactness of O.

    A very famous example of measure of non compactness is the following Hausdorff measure of non compactness on C([0,T],ˆX) with 0<T< calculated by the following formula:

    χT(O)=12limδ0supxOmax|t1t2|δx(t1)x(t2)ˆX. (2.3)

    Here, χT(O) is said to be the modulus of equicontinuity of OC([0,T],ˆX). Definition (2.4) is applicable on (2.3).

    Definition 2.6. [11] A multi-valued mapping ˆF:ˆKˆXΠ(ˆX) is said to be condensing relative to measure of non compactness β (or β-condensing) if for each OˆK, we have

    β(ˆF(O))β(O).

    That is not relatively compact.

    Definition 2.7. [8] A single valued mapping T:ˆKˆX is called relaxed η-α monotone if a mapping η:ˆK׈KˆX and a real-valued mapping α:ˆXR, with α(tz)=tpα(z), t>0, and zˆX, such that

    TxTy,η(x,y)α(xy),x,yˆK, (2.4)

    where p>1 is a constant.

    Definition 2.8. [8] A mapping T:ˆKˆX is called η-coercive with respect to ψ if x0ˆK such that

    liminfxK,xT(x)T(y),η(x,x0)+ψ(x)ψ(x0)η(x,x0)+. (2.5)

    Where η:ˆK׈KˆX be a mapping and ψ:ˆXR{+} is proper convex lower semicontinuous function.

    Theorem 2.1. [11] Let ˆX be a Banach space and M its closed convex subset, then the fixed point set of β-condensing multi-valued mapping ˆF:MΠkv(M) is nonempty. That is FixˆF:={xM:xˆF(x)}ϕ. Where β is a nonsingular measure of non compactness defined on subsets of M.

    Let ^B1 and ^B2 are real reflexive Banach spaces and ^B1 be the dual of ^B1 and ˆK be a nonempty closed, convex subset of ^B1.

    We consider the following problem of finding ˆuˆK such that

    ˆw+A(ˆu),η(ˆv,ˆu)+ψ(ˆv)ψ(ˆu)0,ˆvˆK, (3.1)

    where ˆw^B1, A:ˆK^B1 and η:ˆK׈K^B1. Problem (3.1) is called generalized mixed variational-like inequality. We prove the following lemma.

    Lemma 3.1. Suppose that the following conditions are satisfied:

    (I1) A:^B1^B1 is an η-hemicontinuous and η-α monotone mapping;

    (I2) ψ:^B1R{+} be a proper convex and lower semicontinuous;

    (I3) the mapping ˆuAˆz,η(ˆu,ˆv) is convex, lower semicontinuous for fixed ˆv,ˆzˆK and η(ˆu,ˆu)=0,ˆuˆK.

    Then ˆuSol(ˆK,ˆw+A(.),ψ), if and only if ˆu is the solution of following inequality:

    ˆw+A(ˆv),η(ˆv,ˆu)+ψ(ˆv)ψ(ˆu)α(ˆvˆu),ˆvˆK. (3.2)

    Proof. Let ˆu is a solution of problem (3.1), then

    ˆw+A(ˆu),η(ˆv,ˆu)+ψ(ˆv)ψ(ˆu)0.

    Since A is relaxed η-α monotone, we have

    ˆw+A(ˆv),η(ˆv,ˆu)+ψ(ˆv)ψ(ˆu)=ˆw+A(ˆu),η(ˆv,ˆu)+A(ˆv)A(ˆu),η(ˆv,ˆu)+ψ(ˆv)ψ(ˆu)A(ˆv)A(ˆu),η(ˆv,ˆu)α(ˆvˆu),ˆvˆK.

    Hence, ˆu is the solution of inequality (3.2).

    Conversely, let ˆuˆK be a solution of problem (3.2) and let ˆvˆK be any point ψ(ˆv)<. We define ˆvs=(1s)ˆu+sˆv,s(0,1), then due to convexity of ˆK ˆvsK. Since ˆvsˆK is the solution of inequality (3.2), it follows from (I1)(I3)

    ˆw+A(ˆvs),η(ˆvs,ˆu)+ψ(ˆvs)ψ(ˆu)α(ˆvsˆu)ˆw+A(ˆvs),η((1s)ˆu+sˆv,ˆu)+ψ((1s)ˆu+sˆv)ψ(ˆu)α((1s)ˆu+sˆvˆu)ˆw+A(ˆvs),(1s)η(ˆu,ˆu)+sη(ˆv,ˆu)+(1s)ψ(ˆu)+sψ(ˆv)ψ(ˆu)α(s(ˆvˆu)).

    Using (I3), we have

    ˆw+A(ˆvs),sη(ˆv,ˆu)+s(ψ(ˆv)ψ(ˆu))spα(ˆvˆu)ˆw+A((1s)ˆu+sˆv),η(ˆv,ˆu)+(ψ(ˆv)ψ(ˆu))sp1α(ˆvˆu),

    letting s0+, we get

    ˆw+A(ˆu),η(ˆv,ˆu)+ψ(ˆv)ψ(ˆu)0,ˆvK.

    Theorem 3.1. Suppose that the conditions (I1)(I3) are satisfied. Additionally, if the following conditions hold.

    (I4) η(ˆu,ˆv)+η(ˆv,ˆu)=0,

    (I5) ˆv0ˆKD(ψ) such that

    liminfˆuˆK,ˆuA(ˆu)A(ˆv0),η(ˆu,ˆv0)+ψ(ˆu)ψ(ˆv0)η(ˆu,ˆv0)+. (3.3)

    Then, Sol(K,ˆw+A(.),ψ)={ˆuˆK:ˆw+A(ˆu),η(ˆv,ˆu)+ψ(ˆv)ψ(ˆu)0,ˆvK}ϕ, bounded, closed and convex, for ˆw^B1.

    Proof. Clearly, Sol(ˆK,ˆw+A(.),ψ)ϕ, as ˆvSol(ˆK,ˆw+A(.),ψ), for each ˆvˆK.

    Now, we have to show that Sol(ˆK,ˆw+A(.),ψ) is bounded. Suppose to contrary that Sol(ˆK,ˆw+A(.),ψ) is not bounded, then there exists a sequence {ˆun}Sol(ˆK,ˆw+A(.),ψ) such that ˆun^B1 as n. We can consider, nN, ˆun>n. By η-coercive condition (3.3), a constant M>0 and a mapping κ:[0,)[0,) with κ(k) such that for every ˆu^B1M,

    A(ˆu)A(ˆv0),η(ˆu,ˆv0)+ψ(ˆu)ψ(ˆv0)κ(η(ˆu,ˆv0)^B1)η(ˆu,ˆv0)^B1.

    Thus, if n is sufficiently large as κ(n)>(A(ˆv0)+ˆw),

    0A(ˆun)+ˆw,η(ˆv0,ˆun)+ψ(ˆv0)ψ(ˆun)=A(ˆun),η(ˆv0,ˆun)+ˆw,η(ˆv0,ˆun)+ψ(ˆv0)ψ(ˆun)=A(ˆun)A(ˆv0),η(ˆun,ˆv0)+ψ(ˆv0)ψ(ˆun)+A(ˆv0),η(ˆv0,ˆun)+ˆw,η(ˆv0,ˆun)κ(η(ˆu,ˆv0))η(ˆu,ˆv0)^B1+A(ˆv0).η(ˆun,ˆv0)^B1+ˆw.η(ˆun,ˆv0)^B1=η(ˆun,ˆv0)^B1[κ(η(ˆun,ˆv0)^B1)+A(ˆv0)+ˆw]<0.

    Which is not possible. Thus, is bounded.

    Now it remains to prove that is closed.

    Let be a sequence in such that Then,

    (3.4)

    From Lemmas (3.1) and (3.4) same as

    (3.5)

    By using , we have

    (3.6)

    Which implies that

    (3.7)

    as , and are lower semicontinuous functions. From (3.7), we have

    (3.8)

    that is,

    (3.9)

    By Lemma 3.1, we get , that is is closed.

    Lastly, we show that is convex. For any and let . Since is convex, so that . Using and letting , we obtain

    that is,

    Hence, is convex.

    Boundedness of implies that is bounded.

    Theorem 3.2. Suppose that all the conditions and mappings are same as considered in Theorem 3.1. Additionally, a constant depending on , such that

    (3.10)

    where

    Proof. On contrary let us suppose that and

    Therefore, and with By -coercivity assumption, a constant such that and a function with as , we have

    Thus, for sufficiently large such that , one has

    which is a contradiction. Hence our supposition is wrong.

    Let be the single valued mapping and a multi-valued mapping is defined as follows:

    It follows from Theorem 3.1 that is nonempty, bounded, closed and convex that is,

    Theorem 3.3. Suppose that all the conditions and mappings are same as considered in Theorem 3.1 and the mapping is bounded and continuous, then the following assertions hold:

    (i) is strongly weakly u.s.c.;

    (ii) is measurable ;

    (iii) for every bounded subset of , a constant such that

    (3.11)

    Proof. () Let be any weakly closed subset of , suppose that such that in with Therefore, for any , there exists such that

    (3.12)

    By Lemma 3.1, (3.12) is equivalent to

    (3.13)

    Which implies that,

    (3.14)

    Since is continuous. Therefore, by Theorem 3.3, it implies that is bounded. Hence, by reflexivity of we can suppose that in

    From (3.14), we get

    (3.15)

    Using Lemma 3.1, we have

    It follows from weakly closeness of that

    Hence, is strongly weakly u.s.c..

    () Define a set

    Now we will show that is an open set for all For this let be a sequence with Then , we have . As for every the multi-valued mapping is bounded, closed and convex by Theorem 3.1, we get such that By Theorem 3.3, is bounded, so we may assume that By , . Hence, we obtain

    that is , thus is closed. Hence, is open, consequently is measurable. By [24,Proposition 6.2.4], the mapping is measurable .

    (ⅲ) As is bounded. Therefore

    is also bounded in for every bounded subset of . Then, by Theorem 3.3, is bounded, and . Hence, a constant such that 3.11 holds.

    Before proving our main result, we mention that by Theorem 3.3, is measurable and is a separable Banach space. Hence, by [21,Theorem 3.17] possess a measurable selection such that So

    (4.1)

    is well defined

    Lemma 4.1. Suppose that hold and is bounded and continuous. Then, multi-valued mapping is strongly upper semicontinuous.

    Proof. Let with in and for . Now, we need to prove that a subsequence of , such that .

    Indeed, confirms that the sequence is bounded in . Therefore, we can suppose weakly in . By Lemma 2.1, there is , a finite combination of the with converges strongly in

    Since is strongly weakly upper semicontinuous and therefore for every weak neighborhood of there exists a strong neighborhood

    Which shows that Thus, by Proposition 2.3, is strongly upper semi continuous.

    We also need the following assumptions for achieving the goal.

    is continuous and bounded;

    , are measurable for all and is continuous for a.e. where denotes the class of bounded linear operators from to , and there exists and a non-decreasing continuous mapping such that

    are measurable for all and there exists such that for satisfies

    (4.2)

    The following result ensures the existence of solution of problem (2.1).

    Theorem 4.1. Under the assumptions , if the following inequalities hold

    (4.3)
    (4.4)

    where

    and is a constant stated in Theorem 3.2, then, the problem (2.1) has at least one mild solution

    Proof. We define the multi-valued mapping such that

    (4.5)

    where is defined in (4.1). Our aim is to show that .

    Step-Ⅰ. for each

    Clearly, is convex for every due to the convexity of

    Since for each we can choose such that

    which implies that,

    Using and and applying Hölder's inequality,

    Hence, is bounded in for each

    Next we shall prove that is a collection of equicontinuous mappings

    (4.6)

    Applying Hölder's inequality, we have

    (4.7)

    Further by Proposition 2.2 and (4.4) and Hölder's inequality, we have

    (4.8)

    From (4.6)–(4.8), we have

    Hence, is equicontinuous, By Arzela-Ascoli theorem [34], we obtained that is relatively compact

    Now, we have to check that is closed in

    Let is a sequence with in as . Hence, there exist a sequence such that

    By of Theorem 3.3, it follows that the sequence is weakly relatively compact. Since is upper semicontinuity (see Lemma 4.1), we may assume in , where . On the other hand, by strongly continuity of and for , we have

    Which implies that , that is .

    Step-Ⅱ. The multi-valued mapping is closed.

    For this assume and in with We need to prove that From the definition of multi-valued map , we may take such that

    (4.9)

    With the help of Theorem 3.3 and Lemma 4.1, we may consider that . By using, we get that in .

    By using the continuity of and strongly continuity of , for , we obtain from (4.9) that

    and . Thus

    Step-Ⅲ. is condensing.

    Let Therefore, is not relatively compact subset of For , we need to prove that Since is bounded subset of , then by applying the same technique as in Step-I, we may prove that is relatively compact, that is, Hence, implies that is relatively compact by regularity of , we conclude that is -condensing.

    Step-Ⅳ. a constant such that

    (4.10)

    Let us assume that two sequences and such that

    and such that . Hence, there is such that

    Using Hölder's inequality, for every , we have

    we obtain by using (4.9),

    which is a contradiction. Therefore there exists such that (4.10) holds.

    Thus, all requirements of Theorem 2.1 are fulfilled. This implies that in Therefore, (SOEPDVLI) has at least one mild solution

    In this paper, a second order evolutionary partial differential variational-like inequality problem is introduced and studied in a Banach space, which is much more general than the considered by Liu-Migórski-Zeng [14], Li-Huang-O'Regan [13] and Wang-Li-Li-Huang [33] etc. We investigate suitable conditions to prove an existence theorem for our problem by using the theory of strongly continuous cosine family of bounded linear operator, fixed point theorem for condensing set-valued mapping and the theory of measure of non-compactness.

    The authors are highly thankful to anonymous referees and the editor for their valuable suggestions and comments which improve the manuscript a lot.

    The authors declare that they have no conflicts of interest.



    Ethical approval



    Patient gave written informed consent for publication of this case report. The case report including the electrocardiogram and echocardiogram images were de-identified to protect patient's privacy and maintain confidentiality.

    Conflict of interest



    All authors declare no conflicts of interest in this paper.

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