# Large time behavior of a linear delay differential equation with asymptotically small coefficient

- Mihály Pituk
^{1}Email author and - Gergely Röst
^{2}

**2014**:114

https://doi.org/10.1186/1687-2770-2014-114

© Pituk and Röst; licensee Springer. 2014

**Received: **4 February 2014

**Accepted: **15 April 2014

**Published: **14 May 2014

## Abstract

The linear delay differential equation ${x}^{\prime}(t)=p(t)x(t-r)$, $t\ge {t}_{0}$, is considered, where $r>0$ and the coefficient $p:[{t}_{0},\mathrm{\infty})\to \mathbb{R}$ is continuous and small in the sense that ${\int}_{t}^{t+r}|p(s)|\phantom{\rule{0.2em}{0ex}}ds\to 0$, $t\to \mathrm{\infty}$. It is shown that the large time behavior of the solutions can be described in terms of a special solution of the associated formal adjoint equation and the initial data. In the special case of the Dickman-de Bruijn equation, ${x}^{\prime}(t)=-\frac{x(t-1)}{t}$, $t\ge 1$, our result yields an explicit asymptotic representation of the solutions as $t\to \mathrm{\infty}$.

**MSC:**34K06, 34K25, 11A51.

### Keywords

delay differential equation formal adjoint equation Dickman-de Bruijn equation asymptotic behavior## 1 Introduction

*Dickman-de Bruijn function*. The Dickman-de Bruijn function was first studied by actuary Dickman [1] and later by de Bruijn [2, 3] to estimate the proportion of smooth numbers up to a given bound. In [4] (see also [5]) van der Lune proposed some problems regarding the solutions of (1.1). The solutions to these problems, given by Bierkens, appeared in [6]. Suppose that $\varphi :[0,1]\to \mathbb{R}$ is a continuous function and let $x={x}^{\varphi}$ denote the unique solution of (1.1) with initial values

We emphasize that the solution presented in [6] does not imply the existence of the limit (1.3).

The special solution of (1.7) is eventually positive, it has bounded growth and it is unique up to a constant multiple.

The large time behavior of the solutions of (1.1) is discussed in Section 2 and our general result on the asymptotic description of the solutions (1.5) is presented in Section 3.

## 2 Large time behavior of the Dickman-de Bruijn equation

In this section, we prove the existence of the limit (1.3) for the solutions of (1.1).

**Theorem 2.1**

*Suppose that*$\varphi :[0,1]\to \mathbb{R}$

*is a continuous function and let*${x}^{\varphi}$

*be the unique solution of the initial value problem*(1.1)

*and*(1.2).

*Then*

where $c(\varphi )$ is the constant given by (1.4). Using (1.1), it is easily shown that the derivative of the function on the left-hand side of (2.2) is equal to 0 identically on $(1,\mathrm{\infty})$. This, together with (1.4), implies (2.2). Since the proof is straightforward, we omit it.

Now we can give a simple short proof of Theorem 2.1.

*Proof of Theorem 2.1*Write ${x}^{\varphi}=x$ for brevity. First we show that

*e.g.*, [[7], Chapter 1, Lemma 3.1]), we conclude that

In view of (2.4), this implies (2.3).

which is equivalent to the limit relation (2.1). □

We remark that the existence of the limit in (1.3) can also be deduced from the results by Győri and the first author (see [[8], Theorem 3.3] and its proof) and by Diblík (see [[9], Theorem 18 and Example 20]). However, the above results cannot be used to compute the value of the limit explicitly in terms of the initial data.

## 3 Main result

In this section, we present our main result on the large time behavior of the solutions of (1.5). First we show that under the smallness condition (1.6) the formal adjoint equation has an eventually positive solution with bounded growth.

**Theorem 3.1**

*Suppose condition*(1.6)

*holds*.

*Then*(1.7)

*has a solution*$y:[{t}_{0},\mathrm{\infty})\to \mathbb{R}$

*which is positive for all large*

*t*

*and such that*

We will prove Theorem 3.1 by applying a technique known from the oscillation theory of delay differential equations (see [[10], Section 2.3]).

*Proof*Let ${p}_{+}$ and ${p}_{-}$ denote the positive part and the negative part of

*p*, respectively, defined by

It is easily verified that *F* is continuous and $F(\mathrm{\Omega})\subset \mathrm{\Omega}$. Furthermore, the functions from $F(\mathrm{\Omega})$ are uniformly bounded and equicontinuous on each compact subinterval of $[{t}_{1},\mathrm{\infty})$. Therefore, by the Arzela-Ascoli theorem, the closure of $F(\mathrm{\Omega})$ is compact in $C([{t}_{1},\mathrm{\infty}),\mathbb{R})$. By the application of the Schauder-Tychonoff fixed point theorem, we conclude that there exists $y\in \mathrm{\Omega}$ such that $F(y)=y$. It is easily seen that this fixed point *y* is a solution of (1.7) on $[{t}_{1},\mathrm{\infty})$ with property (3.1). Clearly, the solution $y:[{t}_{1},\mathrm{\infty})\to \mathbb{R}$ can be extended backward to all $t\in [{t}_{0},{t}_{1})$ by the method of steps. □

a special case of (1.7) when $r=1$, ${t}_{0}=0$ and $p(t)=-2(t-1){e}^{-2t+1}$, has the positive solution $y(t)={e}^{{t}^{2}}$ for which the ratio $y(t+1)/y(t)={e}^{2t+1}$ is unbounded as $t\to \mathrm{\infty}$.

In the next theorem, we show that up to a constant multiple the special solution of (1.7) described in Theorem 3.1 is unique.

**Theorem 3.2** *Suppose condition* (1.6) *holds*. *Let* ${y}_{1}$ *and* ${y}_{2}$ *be eventually positive solutions of* (1.7) *satisfying condition* (3.1). *Then* ${y}_{2}$ *is a constant multiple of* ${y}_{1}$.

*Proof*We begin with two simple observations. First, if

*y*is a solution of (1.7), then

*y*is a solution of (1.7) which is positive on $[T,\mathrm{\infty})$ for some $T>{t}_{0}$ and satisfies condition (3.1), then

*M*is an arbitrary constant such that

This, together with (3.4), implies (3.3).

Since ${e}^{qM}<M$, this implies that $S=0$ and therefore ${y}_{2}(t)={y}_{3}(t)=c{y}_{1}(t)$ for all $t\in [{t}_{1},\mathrm{\infty})$. Finally, by the uniqueness of the backward continuation of the solutions of (1.7), we conclude that ${y}_{2}(t)=c{y}_{1}(t)$ for all $t\in [{t}_{0},\mathrm{\infty})$. □

Now we can formulate our main result about the large time behavior of the solutions of (1.5).

**Theorem 3.3**

*Suppose condition*(1.6)

*holds*.

*Let*${x}^{\varphi}$

*denote the solution of*(1.5)

*with initial data*

*where*$\varphi :[{t}_{0}-r,{t}_{0}]\to \mathbb{R}$

*is a continuous function*.

*Then*

*where*

*y*

*is any eventually positive solution of*(1.7)

*satisfying*(3.1)

*and*$c(\varphi )$

*is a constant given by*

As shown in Theorem 3.2, the special solution *y* of (1.7) in the asymptotic relation (3.8) is unique up to a constant multiple. Thus, (3.8) gives the same asymptotic representation independently of the choice of *y*.

has the positive solution $y(t)=t$ satisfying condition (3.1). Therefore, Theorem 3.3 applies and its conclusion reduces to the limit relation (1.3).

For qualitative results similar to Theorem 3.3, see [8, 9, 11, 12] and the references therein.

for $t\ge {t}_{0}$ whenever *x* and *y* are solutions of (1.5) and (1.7), respectively. We will also need the following simple lemma.

**Lemma 3.4**

*Let*$c\in \mathbb{R}$

*and suppose that*$a:[{t}_{0},\mathrm{\infty})\to \mathbb{R}$

*is a continuous function such that*

*Then every continuous solution of the integral equation*

*converges to* *c* *as* $t\to \mathrm{\infty}$.

*Proof*Let $q\in (0,1)$. By virtue of (3.11), there exists $T>{t}_{0}$ such that

*K*such that

the last inequality being a consequence of (3.13). Hence $K\le |c|{(1-q)}^{-1}$, contradicting (3.14). Thus, (3.15) holds.

Letting $t\to \mathrm{\infty}$ in the last inequality and using (3.11), we conclude that $z(t)\to c$ as $t\to \mathrm{\infty}$. □

Now we are in a position to give a proof of Theorem 3.3.

*Proof of Theorem 3.3*Write ${x}^{\varphi}=x$ for brevity and let

*y*be a solution of (1.7) which is positive on $[{t}_{1},\mathrm{\infty})$ for some ${t}_{1}>{t}_{0}$ and satisfies condition (3.1). By virtue of (3.7) and (3.10), we have

which is only a reformulation of the limit relation (3.8). □

Finally, we remark that applying a transformation technique described in [13] and [14], Theorem 3.3 can possibly be extended to a class of equations with time-varying delays.

## Declarations

### Acknowledgements

M Pituk was supported in part by the Hungarian National Foundation for Scientific Research (OTKA) Grant No. K101217. G Röst was supported in part by European Union and co-funded by the European Social Fund under the project ‘Telemedicine focused research activities on the field of Mathematics, Informatics and Medical sciences’ of project number TÁMOP-4.2.2.A-11/1/KONV-2012-0073, ERC Starting Grant No. 259559 and OTKA K109782.

## Authors’ Affiliations

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