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Delay-induced switched states: A balancing act

Main Results

6. Delay-induced switched states versus fold-induced relaxation oscillations

6.5. Delay-induced switched states: A balancing act

Figure 6.4.: Numerical computation of the driftdupup/εof up (blue) andddowndown/ε of down (green) transitions layers for fixedε= 0.01,f2(x) = 2x/(1 + (0.8´x)4), and initial function x(t) = x0(t), t P [´1,0] with two sign changes (specified in the text). Panel (a)-(d) show the spatiotemporal plot of the solution to (6.19) for forT = 1 + 0.755εand different values ofy(0). Panel (e) showsdup andddown with varyingy(0)P[0,1].

6.5. Delay-induced switched states: A balancing act

According to Sec. 6.1, all solutions of (6.1)–(6.2) forηą0that are not converging to or identically zero are oscillating, i.e. its first component possesses infinitely many sign changes for t ą 0 (Props. 6.1 and 6.2). Consider the following definition motivated by the spatiotemporal plot in Fig. 6.4(c).

Definition (delay induced switched state). A solution(x, y)PC([´1,8),R2)of (6.1)(6.2) as a delay-induced switched state, if there exist1ďT ď2and 0ďsď1, such that x(t)has a constant even number of sign changes on each interval [nT +s,(n+ 1)T +s]for all ně0.

Additionally, refer to δ = T ´1, as the drift of a delay induced switched state [GMZY12, GMZY13, YG17]. It is easy to show thatδÑ0asεÑ0. In a neighborhood of the balance point βof system (6.19), it is possible to obtain delay-induced switched states for (6.1)-(6.2). This can be explained as follows: Ify(t)ăβ, the coarsening of the solution leads to an increase of the average value T1 ş0

´T x(t+s)dsofx(t)and therefore, to an increase ofy(t) =y(t´T) +ηş0

´T x(t+s)ds towards the valueβ. Analogously, fory(t)ąβ, the average T1 ş0

´T x(t+s)dsdecreases as well as y(t). This allows for the “dynamic stabilization” of the delay-induced switched states.

Figure 6.5 shows numerical study of the up- and down-drifts for thex-component of (6.1)-(6.2) for different values ofηandy(0). As the spatiotemporal plots in Figs. 6.5(a,b,c1,c2,c3,d) show, the coarsening may still occur for certain parameters as in Figs. 6.5(a,b,d), while switched states are observed for the other parameters as in Figs. 6.5(c1,c2,c3). The conditions, where switched states

exist, i.e. where the up- and down-drifts coincideδ+ = δ´ = δ, are shown as the gray region in Figs. 6.5(e,f). The existence region has the form of a cone attached to a balance pointy(0) = β atη = 0. That is, the switched state forη = 0exists only in the balance point, and any deviation of the initial conditiony(0)fromβ would lead to the coarsening. With increasingη, the allowed range ofy(0), where switched states exist, increases. This indicates that such states become stable forη ą0, and in order to reach them, one should initiatey(0) in the neighborhood of the balance pointβ, while the size of this neighborhood grows withη.

The rigorous analysis in the following section shows that the solution of (6.1)-(6.2) can be ob-tained as a perturbation of (6.19) (Lemma 6.6) and that this perturbation contracts the distance of subsequent sign changes to a critical distance (implied by Lemma 6.7). The “largeness” of this correcting effect strongly depends onη. Too far from the balance point, it is too weak to prevent the coarsening of a phase, see Fig. 6.5(a). Similarly, the time scale of this process is of impor-tance. Closer to the balance point the influence ofηis strong enough to prevent the coarsening of one phase, possibly leading to the coarsening towards the other, see Fig. 6.5(b). Supported by the numerical evidence in Fig. 6.5 one arrives at the following conjecture.

Conjecture 6.5. Let f P C1(R) satisfy (H1)(H3) with balance point β. Then, for all ε ą0 and η ą 0 sufficiently small, all initial conditions with y(0) sufficiently close to β, and x(θ) P [χ´, χ+], for ´1 ď θ ď 0, with at least one sign changes lead to a delay-induced switched state.

Initial conditions ’close’ the balance point lead to delay-induced switched states, whereas those too far from the balance point, may appear as delay-induced switched states at first, yet coarsen after some possibly long transient time, and as a result no delay-induced switching can be observed anymore. This can be explained by a competition of the fastε´dynamics and slowη-dynamics. In order to investigate these processes independently, one can ’split off’ theη-part of the dynamics, providing a conceptional mechanism for the stabilization of delay-induced switched states; the more involved arguments being given as self-contained lemmas. Recall from Sec. 6.1 that the solution to (6.1)–(6.2) can be written in integral form

x(t) =( x(t0))

e´(t´t0)/ε+ żt

t0

e´(t´s)/ε ε

(f(x(s´1))´y(t0))

ds (6.20)

´η żt

t0

e´(t´s)/ε ε

s t0

x(˜s)d˜s )

ds, y1(t) =y(t0) +η

żt t0

x(s)ds, (6.21)

which can be readily checked using the variation of constants formula. The motivation is simple, find a transformation such that the resulting solution is independent of η. A closer look at

sys-6.5. DELAY-INDUCED SWITCHED STATES: A BALANCING ACT

Figure 6.5.: Up-driftdupup/ε (blue) and down-driftddowndown/ε (green) of solutions for fixed ε = 0.01, f2(x) = 2x/(1 + (0.8´ x)4), T = 1 + 0.514ε and initial function x(t) = x0(t), t P [´1,0] with two sign changes (specified in the text).

Panels (a),(b),(c1),(d) show spatiotemporal plots of the solution for η = 0.001 and (a) y(0) = 0.2, (b) y(0) = 0.33, (c1) y(0) = 0.514 and (d) y(0) = 0.8.

Panels (c2),(c3) show spatiotemporal plots of the solution for y(0) = 0.514 and (c2) η = 0.0003 and (c3) y(0) = 0.0001, (c1) y(0) = 0.514 and (d) y(0) = 0.8.

Values of dup and ddown varying the feedback parameter ηP [0,0.01] and initial conditiony(0)P[0,1]. Panel (e): numerically computed parameter regions (and individual points), where dup and ddown coincide are shown in gray. Panel (f):

projection (from above) of Panel (e) onto the (y(0), η)-plane. Colors encode:

dup ăddown (blue),dup =ddown (gray),dup ąddown (green).

tem (6.20)-(6.21) suggests to subtract the respective last terms´ηşt t0

e´(t´s)/ε ε

s

t0x(˜s)d˜s) dsand ηşt

t0x(s)ds in (6.20)-(6.21). If one assumes delay-induced switched state ψ with length T, then this transformation takes the form of a linear operatorLε,ηT :CT1 ÑCT1, ψ ÞÑLε,ηT ψ,with

[Lε,ηT φ](θ) = φ(θ) +η

1 ε

şθ

´T e´(θ´s)εs

´T φ1(˜s)d˜s) ds

´şθ

´T φ1(s)ds

. (6.22)

The next Lemma collects several properties ofLε,ηT . It is convenient to write Eqs. (6.1)–(6.2) in vec-tor form, such that for a given an initial functionφ P C(

[´1,0],R2)

,z(t, φ) = (x(t, φ), y(t, φ)), tě0is the unique solution of the initial value problem

dz

dt(t) =Aε,ηz(t) +F (

z(t´1))

, z0 =φ, (6.23)

withAε,η PR2ˆ2andF P C1(R2)such that

Aε,η =

( ´1ε ´1ε

η 0

)

, F(ζ) =

( f(ζ) 0

) .

Consider the solution operatorMTε,ηthat maps segments of delay-induced switched states of length T to the next. More specifically, consider the solution segment φn(θ) := z(nT +θ) P CT1 :=

C1([´T,0],R2), nPNandθ P[´T,0],1ďT ă2. Then, (6.23) is equivalent to d

dθφn+1(θ) = Aε,ηφn+1(θ) +

$&

% F (

φn(θ+δ))

, ´T ăθă ´δ, F (

φn+1(θ´1))

, ´δ ăθ ă0, (6.24) φn+1(´T) = φn(0) for alln PN, φ0|[´1,0] =z0 PC([´1,0],Rn).

Eq. (6.24) defines a map given byMTε,η :CT ÑCT, ψ ÞÑMTηψ with [MTε,ηψ]

(θ) = eAε,η(θ+T)ψ(´T) +

żmintθ,´δu

´T

eAε,η(θ´s)F (

ψ(s+δ))

ds (6.25)

+ żθ´1

mintθ´1,´Tu

eAε,η(θ´1´s)F (

eAε,η(s+T)ψ(´T) + żs

´T

eAε,η(θ´˜s)ψ(˜s+δ)d˜s )

ds,

which can be easily seen using the variations of constants formula.

Lemma 6.6. Let ε, η, T ą0, φPCT1 be fixed, and Lε,ηT be defined as in (6.22). Then, (i) Lε,ηT φ is a η-small perturbation of φ.

(ii) Lε,ηT is one-to-one. KTε,η = (Lε,ηT )´1 has the form (KTε,ηφ)(θ) =φ(θ) +

żθ

´T

(

Aε,ηeAε,η(θ´s)´eAε,η(θ´s)Aε,0)

φ(s)ds. (6.26)

(iii) Lε,ηT MTε,η =MTε,0, and MTε,η =KTε,ηMTε,0.

Proof. Let φ P CT1 and denote φ¯ = Lε,ηT φ. (i) One readily checks the estimates |φ¯2(θ)´ φ2(θ)|=η|şθ

´T φ1(s)ds| ďηT|φ1| ď2η}φ} and

|φ¯1(θ)´φ1(θ)|= η ε|

żθ

´T

e´´εs)s

´T

φ1(˜s)d˜s )

ds| ď 2η ε }φ}

żθ

´T

e´´εs)ds ď2η}φ},

such that ››Lε,ηT φ´φ›› ď 3η}φ} where 1ď T ă 2. Note that ( ¯φ1)1(θ) = (φ1)1(θ)´( ¯φ1(θ)´ φ1(θ) + ¯φ2(θ)´φ2(θ)),( ¯φ2)1(θ) = (φ2)1(θ) +ηφ1(θ)such that››φ¯1 ´φ1››ă2››φ¯´φ››+ηT}φ} ă

6.5. DELAY-INDUCED SWITCHED STATES: A BALANCING ACT 8η}φ}. Thus, Lε,ηT ´id is uniformly bounded by 8η. (ii) Taking the derivative of Lε,ηT φ one observes thatφ¯PCT1, with

d

dθφ(θ) =¯ Aε,0φ(θ) +¯ d

dθφ(θ)´Aε,ηφ(θ),

and Aε,η is defined as in Eq. (6.23). This is ODE that can be solved explicitly to recover Eq. (6.22). On the other hand, it can be rearranged as an initial value problem for φ, i.e.

d

dθφ(θ) = Aε,ηφ(θ) + d

dθφ(θ)¯ ´Aε,0φ(θ),¯ (6.27) φ(´T) = ¯φ(´T).

In this way φ is uniquely determined given φ¯P CT1 and the explicit form of KTε,η is readily obtained by the variation of constants formula. (iii) Let φ0 PCT1,and consider the sequence ( ¯φn)n where φ¯n =Lε,ηT φn and φn+1 =MTε,ηφn for all ně0. Then, it is easy to check thatφ¯n

satisfies

d

dθφ¯n(θ) = Aε,0φ¯n(θ) +

$&

% F (

φn´1(θ+δ))

, ´T ăθ ă ´δ, F (φ¯n(θ´1))

, ´δăθ ă0, , φ¯n(´T) = φn´1(0),

such that Lε,ηT MTε,ηφn´1 = Lε,ηT φn = MTε,0φn´1. This is independent of φn´1 and therefore Lε,ηT MTε,η =MTε,0. The second assertions follows immediately using (ii).

As a result, one obtains a decomposition of the solution operatorMTε,η =KTε,ηMTε,0into two parts.

One can now use the qualitative information aboutMTε,0, see Sec. 6.5. In particular, the number of sign changes of a given functionφP CT1 does not increase, and the amount of which sign changes drift can be read of numerically. In addition, one can show howKTε,η effects the position of sign changes of a functionφ P CT along the interval[´T,0]via studying its inverseLε,ηT . Considerφ with the property

(SCN) The first componentφ1 ofφ has an even number of sign changes and no other zeros. More specifically, there existN P N, and a series of sign changes(θi), 0 ď i ď 2N, ofφ1 such thatφ1i) = 0,(φ1)1i)‰0andφ1has no other zeros.

The results are collected in the following Lemma; the proof of which is contained in the supple-mentary material.

Lemma 6.7 (dynamics of sign changes under Lε,ηT ). Let ε, η, T ą 0 be fixed. Let φ P CT1 satisfy(SCN)and consider φ¯=Lε,ηT φ. Then the following hold true.

(i) There existsη¯ą0, depending onφ, such that for all ηăη,¯ φ¯also satisfies(SCN). In particular, for each sign change θ of φ1, there exists exactly one sign change θ¯of φ¯1 with|θ´θ¯|=O(η)and φ¯1 has no other zeros.

(ii) IfφP CT2, there existsη¯1 ą0,depending onφ, such that for allη ăη¯1, the sign changes θ¯of φ¯1 are given by

θ¯=θ´ η ε(φ1)1(θ)

żθ

´T

e´(θ´s)εs

´T

φ1(˜s)d˜s ]

ds+O(η2), (6.28) where θ is a sign change ofφ.

(iii) Assume as in (ii). There exist ε¯ą0such that if εăε, then for each subsequent pair¯ of sign changesθi, θi+1, iď2N there exist unique (up to order η2) ϑi ě0, depending on φ, such that if |θi´θi+1| ăϑi+O(η2) (respectively|θi´θi+1| ąϑi+O(η2)), then

|θ¯i´θ¯i+1| ă |θi´θi+1|(respectively |θ¯i´θ¯i+1| ą |θi´θi+1|). In particular, ϑi ą0(up to order η2), if and only if

1 (φ1)1i)

 żθi

´T

e´(θi´s)εs

´T

φ1(˜s)d˜s ]

ds

ă0.

(iv) assume as in (iii). If φ is (SC2) with ´T ă θ1 ă θ2 ă 0, ϑ1 ą 0 (up to an error of orderη2), andϑ1 is implicitly given (up to an error of orderη2) by

żθ11 θ1

φ1(s)ds=

((φ1)12) (φ1)11) ´1

θ1

´T

φ1(s)ds.

Proof. The proof relies on Newton’s method to approximate the sign changes of φ¯for η ! 1. Note that φ(´T) = ¯φ(´T) such that without loss of generality, one may assume that φ1(´T) ‰ 0, i.e. ´T is not a sign change of φ1 or φ¯1. Throughout the proof, restrict to φ1(´T)ă0; the proof of the other case is completely analogous.

(i) For sufficiently smallη,φ¯also has property(SCN). From(SCN)ofφ, there existθi,0ď iď 2N, φ1i) = 0 and intervals (αi, βi) Q θi, such that (´1)i´1φ1i)ă 0ă (´1)i´1φ1i) and φ1ˇˇ

ii] is strictly monotone. Let I =Ť

ii, βi]and denote c=infθP[´T,0]zI1(θ)|, c1 = minθPI|( ¯φ1)1(θ)|. Using Lemma 6.6, φ¯ is a continuously differentiable, η-small perturbation of φ with C1´uniform bound 8η}φ}. Thus, one may choose

¯

η=min"

c, c1,minit|φ1i)|u,min

i t|φ1i)|u

*

/(8η}φ})ą0,

6.5. DELAY-INDUCED SWITCHED STATES: A BALANCING ACT such that (´1)i´1φ¯1i) ă 0 ă (´1)i´1φ¯1i), φ¯1ˇˇ

ii] is strictly monotone with

¯

c1 = minθPI|( ¯φ1)1(θ)| ą 0, and φ¯1 is bounded away from zero outside of I for all η ă η.¯ Then, by the Intermediate Value Theorem, there exist unique (sinceφ¯1 is strictly monotone there)θ¯i P[αi, βi] such that φ¯1(¯θi) = 0, ( ¯φ1)1(¯θi)‰0, and there are no other zeros of φ¯1.

Using the Mean Value Theorem for each i, there exist ξi P [mintθi,θ¯iu,maxtθi,θ¯iu] Ă [αi, βi]such that ( ¯φ1)1i) =(φ¯1(¯θi)´φ¯1i))

/(θ¯i´θi)

. Consequently,

|θ¯i´θi| ď |φ¯1(¯θi)´φ¯1i)| minθPI|( ¯φ1)1(θ)| = 1

¯

c11i)´φ¯1i)| ď bη for all i, whereb = 3T }φ}/¯c1. Here, one uses φ¯1(¯θi) = 0 =φ1i) for all i.

(ii) Let ηăη. Fix a sign change¯ θ of φ1 and the corresponding sign changeθ¯of φ¯1 with

|θ¯´θ| = O(η). Under certain conditions to be specified θ¯is determined up to a bounded error of order η2 by only one step of Newton’s method with the initial guess θ. Recall from (i) that there exists an interval [α, β] P tθ,θ¯u such that the derivatives of φ1 and φ¯1 are bounded away from 0 by a constant b1. For example, b1 =mintc1,c¯1u, where c1,c¯1 defined as in (i). Denote θ1 the first iterate of the Newton approximation step θÞÑθ1, then

θ1 = θ´ φ¯1(θ) ( ¯φ1)1(θ),

= θ´

η 1)1(θ)

1 ε

şθi

´T e´(θiε´s)s

´Tφ1(˜s)d˜s] ds 1´ 1η)1(θ)

(

1 ε

şθi

´T e´(θi´εs)s

´T φ1(˜s)d˜s]

ds+şθ

´T φ1(s)ds ).

Here, the definition of φ¯1(θ), and the fact φ1(θ) = 0 was used. Both the numerator and the denominator were multiplied by 1/(φ1)1(θ). For sufficiently small η ă b1/(2T}φ}), one can expand the denominator into a geometric series such that θ1 satisfies Eq. (6.28) (with θ¯ replaced by θ1). φ¯ P CT2 satisfies the estimate ››φ¯2´φ2›› ă 10η}φ} such that ››φ¯2›› ă }φ2}+ 10η}φ} =: b2. Then, the error |θ¯´θ1| of the Newton approximation step θ ÞÑ θ1 is bounded as

|θ¯´θ1| ă b2

2b1|θ¯´θ|2 (

ăηb2b

2b1|θ¯´θ| )

,

where for the last inequality, one uses |θ¯´θ| ă ηb from (i). It is a well known fact that if ηb2b2b1 ă 1 here, Newton’s method converges, and quadratically so, such that |θ¯´θ1| = O(|θ¯´θ|2) = O(η2). As a result, Eq. (6.28) holds for ηăη˜=min␣

¯

η, b1/(2T }φ}),2b1/b2b( . (iii) Consider two subsequent sign changes θi, θi+1 as discussed in (i) and assume as in (ii).

One shows that applyingLε,ηT , for sufficiently smallε, the distance between the sign changes θi+1 ´θi decreases (increases), if it is smaller (larger) than a given “critical” distance ϑi, depending onφandθi, such that|θ¯i+1´θ¯i| ă |θi+1´θi|(respectively|θ¯i+1´θ¯i| ą |θi+1´θi|).

Let(φ1)1i) ą0, (φ1)1i+1)ă0 be fixed such that φ1(θ) ą0 for allθ P(θi, θi+1) and vary ϑ = θi+1 ´θi ą 0 as an independent variable; the proof of the case with signs exchanged is completely analogous. To increase readability, one introduces new variables Y(´T, θ) = şθ

´Tφ1(s)ds and X(´T, θ) = 1εşθ

´T e´(θ´s)ε Y(´T, s)ds such that at θi+1, one can express the value of X(´T, θi+1) as

X(´T, θi+ϑ) = X(θi, θi+ϑ) +Y(´T, θi) +e´ϑε(X(´T, θi)´Y(´T, θi)).

Note that |X(´T, θ)´Y(´T, θ)| ď εT }φ} for all θ P [´T,0]. Using the above expression and Eq. 6.28, the differenceθ¯i+1´θ¯i can be written as

θ¯i+1´θ¯i =ϑ+ aiη

1)1i)Zi(ϑ) +O(η2), whereai =´(φ1)1i)/(φ1)1i+1)ą0 and

Zi(ϑ) = X(´T, θi+ϑ) + 1 ai

X(´T, θi),

= X(θi, θi+ϑ) +Y(´T, θi) + 1 ai

X(´T, θi) +e´ϑε(X(´T, θi)´Y(´T, θi)).

Thus, up to an error of order η2, θ¯i+1 ´θ¯i is smaller (larger) than ϑ, if Zi(ϑ) ă 0 (re-spectively Zi(ϑ) ą 0). Clearly, Y(θi, θi +ϑ) = şθi

θi φ1(s)ds and therefore X(θi, θi +ϑ) =

1 ε

şθi

θi e´(θi+ϑ´s)ε Y(θi, θi+s)dsare monotonously increasing withY(θi, θi) = 0andX(θi, θi) = 0. Note that in the limit εÑ0, statement (iii) is trivial now: Consider

εÑ0limZi(ϑ) =Y(θi, θi +ϑ) + (1 + 1 ai

)Y(´T, θi),

and observe that the second term is constant with 1 + 1/ai ą 0. Thus, if Y(´T, θi) ă 0, there exist a uniqueϑi ą0 such that Zii) = 0 and θ¯i+1´θ¯i = ϑi+O(η2). If Y(θi)ě 0, then limεÑ0Zi(ϑ)ą0 for all ϑą0 and one may choose ϑi = 0.

For 0ăεăε¯=η/(T}φ}), one has that |X(´T, θ)´Y(´T, θ)| ă η and thus, Zi(ϑ) = X(θi, θi+ϑ) + (1 + 1

ai

)X(´T, θi) +O(η).

One can apply the same reasoning as before. The remaining terms of order η affect the difference θ¯i+1´θ¯i only of order η2 and can be neglected. In particular, ϑi ą 0 (up to an error of orderη2), if and only X(´T, θi)ă0.

(iv) Let X(´T, θ) and Y(´T, θ) be defined as in (iii). By assumption (φ1)11) ą 0 and φ1(θ) ă 0 for all θ P [´T, θ1) such that X(´T, θ1) ă 0. Then, Z11) = 0 implies ϑ1 ą 0.