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Exponential response formula

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Inmathematics, theexponential response formula (ERF), also known asexponential response and complex replacement, is a method used to find a particular solution of anon-homogeneous linear ordinary differential equation of any order.[1][2] The exponential response formula is applicable to non-homogeneous linear ordinary differential equations with constant coefficients if the function ispolynomial,sinusoidal,exponential or the combination of the three.[2] The general solution of a non-homogeneous linearordinary differential equation is a superposition of the general solution of the associated homogeneous ODE and a particular solution to the non-homogeneous ODE.[1] Alternative methods for solving ordinary differential equations of higher order aremethod of undetermined coefficients and method ofvariation of parameters.

Context and method

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Applicability

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The ERF method of finding a particular solution of a non-homogeneous differential equation is applicable if the non-homogeneous equation is or could be transformed to formf(t)=B1eγ1t+B2eγ2t++Bneγnt{\displaystyle f(t)=B_{1}e^{\gamma _{1}t}+B_{2}e^{\gamma _{2}t}+\cdots +B_{n}e^{\gamma _{n}t}}; whereB,γ{\displaystyle B,\gamma } arereal orcomplex numbers andf(t){\displaystyle f(t)} is homogeneous linear differential equation of any order. Then, the exponential response formula can be applied to each term of the right side of such equation. Due to linearity, the exponential response formula can be applied as long as the right side has terms, which are added together by thesuperposition principle.

Complex replacement

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Complex replacement is a method of converting a non-homogeneous term of equation into a complex exponential function, which makes a given differential equation a complex exponential.

Consider differential equationy+y=cos(t){\displaystyle y''+y=\cos(t)}.

To make complex replacement,Euler's formula can be used;

cos(t)=Re(eit)=Re(cos(t)+isin(t))sin(t)=Im(eit)=Im(cos(t)+isin(t)){\displaystyle {\begin{aligned}\cos(t)&=\operatorname {Re} (e^{it})=\operatorname {Re} (\cos(t)+i\sin(t))\\\sin(t)&=\operatorname {Im} (e^{it})=\operatorname {Im} (\cos(t)+i\sin(t))\end{aligned}}}

Therefore, given differential equation changes toz+z=eit{\displaystyle z''+z=e^{it}}. The solution of the complex differential equation can be found asz(t){\displaystyle z(t)}, from which the real part is the solution of the original equation.

Complex replacement is used for solving differential equations when the non-homogeneous term is expressed in terms of a sinusoidal function or an exponential function, which can be converted into a complex exponential function differentiation and integration. Such complex exponential function is easier to manipulate than the original function.

When the non-homogeneous term is expressed as an exponential function, the ERF method or theundetermined coefficients method can be used to find aparticular solution. If non-homogeneous terms can not be transformed to complex exponential function, then the Lagrange method ofvariation of parameters can be used to find solutions.

Linear time-invariant operator

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Thedifferential equations are important in simulating natural phenomena. In particular, there are numerous phenomena described ashigh order linear differential equations, for example the spring vibration,LRC circuit,beam deflection,signal processing,control theory andLTI systems with feedback loops.[1][3]

Mathematically, the system istime-invariant if whenever the inputf(t){\displaystyle f(t)} has responsex(t){\displaystyle x(t)} then for any constant "a", the inputf(ta){\displaystyle f(t-a)} has responsex(ta){\displaystyle x(t-a)}. Physically, time invariance means system’s response does not depend on what time the input begins. For example, if a spring-mass system is atequilibrium, it will respond to a given force in the same way, no matter when the force was applied.

When the time-invariant system is also linear, it is called a linear time-invariant system (LTI system). Most of these LTI systems are derived from linear differential equations, where the non-homogeneous term is called the input signal and solution of the non-homogeneous equations is called the response signal. If the input signal is given exponentially, the corresponding response signal also changes exponentially.

Considering the followingn{\displaystyle n}th order linear differential equation

andnydtn+an1dn1ydtn1++a1dydt+a0y=f(t)(1){\displaystyle a_{n}{\frac {d^{n}y}{dt^{n}}}+a_{n-1}{\frac {d^{n-1}y}{dt^{n-1}}}+\cdots +a_{1}{\frac {dy}{dt}}+a_{0}y=f(t)\qquad \qquad \quad (1)}

and denoting

L=anDn+an1Dn1++a1D1+a0I,{\displaystyle L=a_{n}D^{n}+a_{n-1}D^{n-1}+\cdots +a_{1}D^{1}+a_{0}I,}
Dk=dkdtk(k=1,2,,n),{\displaystyle D^{k}={\frac {d^{k}}{dt^{k}}}(k=1,2,\ldots ,n),}

wherea0,,an{\displaystyle a_{0},\ldots ,a_{n}} are the constant coefficients, produces differential operatorL{\displaystyle L}, which is linear and time-invariant and known as theLTI operator. The operator,L{\displaystyle L} is obtained from itscharacteristic polynomial;

P(s)=ansn+an1sn1++a0{\displaystyle P(s)=a_{n}s^{n}+a_{n-1}s^{n-1}+\cdots +a_{0}}

by formally replacing the indeterminate s here with thedifferentiation operatorD{\displaystyle D}

L=P(D){\displaystyle L=P(D)}
P(D)=anDn+an1Dn1++a0I{\displaystyle P(D)=a_{n}D^{n}+a_{n-1}D^{n-1}+\cdots +a_{0}I}

Therefore, the equation (1) can be written as

P(D)y=f(t)(2){\displaystyle P(D)y=f(t)\qquad \qquad \qquad \qquad \qquad \qquad \qquad \qquad \qquad (2)}

Problem setting and ERF method

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Considering LTI differential equation above, with exponential inputf(t)=Beγt{\displaystyle f(t)=Be^{\gamma t}}, whereB{\displaystyle B} andγ{\displaystyle \gamma } are given numbers. Then, a particular solution is

yp=BeγtP(γ){\displaystyle y_{p}={\frac {Be^{\gamma t}}{P(\gamma )}}\qquad }

provide only thatP(γ)0{\displaystyle P(\gamma )\neq 0}.

Proof: Due tolinearity of operatorP(D){\displaystyle P(D)}, the equation can be written as

P(D)(yp)=P(D)(BeγtP(γ))=BP(γ)P(D)(eγt)(3){\displaystyle P(D)(y_{p})=P(D)\left({\frac {Be^{\gamma t}}{P(\gamma )}}\right)={\frac {B}{P(\gamma )}}P(D)(e^{\gamma t})\qquad \qquad (3)}

On the other hand, since

P(D)(eγt)=P(γ)eγt,{\displaystyle P(D)\left(e^{\gamma t}\right)=P(\gamma )e^{\gamma t},}

substituting this into equation (3), produces

P(D)(yp)=P(D)(BeγtP(γ))=BP(γ)P(D)(eγt)=BP(γ)P(γ)eγt=Beγt.{\displaystyle P(D)(y_{p})=P(D)\left({\frac {Be^{\gamma t}}{P(\gamma )}}\right)={\frac {B}{P(\gamma )}}P(D)\left(e^{\gamma t}\right)={\frac {B}{P(\gamma )}}P(\gamma )e^{\gamma t}=Be^{\gamma t}.}

Therefore,yp{\displaystyle y_{p}} is a particular solution to the non-homogeneous differential equation.

Thus, the above equation for a particular responseyp{\displaystyle y_{p}} is called the exponential response formula (ERF) for the given exponential input.

In particular, in case ofP(γ)=0{\displaystyle P(\gamma )=0}, a solution to equation (2) is given by

yp=BteγtP(γ),P(γ)0{\displaystyle y_{p}={\frac {Bte^{\gamma t}}{P'(\gamma )}},\qquad P'(\gamma )\neq 0}

and is called theresonant response formula.

Example

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Let's find the particular solution to 2nd order linear non-homogeneous ODE;

2x+x+x=1+2et+etcos(t).{\displaystyle 2x''+x'+x=1+2e^{t}+e^{-t}\cos(t).}

The characteristic polynomial isP(s)=2s2+s+1{\displaystyle P(s)=2s^{2}+s+1}. Also, the non-homogeneous term,f(t)=1+2et+etcos(t){\displaystyle f(t)=1+2e^{t}+e^{-t}\cos(t)} can be written as follows

f(t)=f1(t)+f2(t)+f3(t),f1(t)=1,f2(t)=2et,f3(t)=etcos(t).{\displaystyle f(t)=f_{1}(t)+f_{2}(t)+f_{3}(t),f_{1}(t)=1,f_{2}(t)=2e^{t},f_{3}(t)=e^{-t}\cos(t).}

Then, the particular solutions corresponding tof1(t),f2(t){\displaystyle f_{1}(t),f_{2}(t)} andf3(t){\displaystyle f_{3}(t)}, are found, respectively.

First, considering non-homogeneous term,f1(t)=1{\displaystyle f_{1}(t)=1}. In this case, sincef1(t)=1=e0t,γ=0{\displaystyle f_{1}(t)=1=e^{0\cdot t},\gamma =0} andP(γ)=P(0)=10{\displaystyle P(\gamma )=P(0)=1\neq 0}.

from the ERF, a particular solution corresponding tof1(t){\displaystyle f_{1}(t)} can be found.

x1p=f1(t)P(0)=11=1{\displaystyle x_{1p}={\frac {f_{1}(t)}{P(0)}}={\frac {1}{1}}=1}.

Similarly, a particular solution can be found corresponding tof2(t){\displaystyle f_{2}(t)}.

x2p=f2(t)P(1)=2et4=et2.{\displaystyle x_{2p}={\frac {f_{2}(t)}{P(1)}}={\frac {2e^{t}}{4}}={\frac {e^{t}}{2}}.}

Let's find a particular solution to DE corresponding to 3rd term;

2x+x+x=etcos(t).{\displaystyle 2x''+x'+x=e^{-t}\cos(t).}

In order to do this, equation must be replaced by complex-valued equation, of which it is the real part:

2z+z+z=e(1+i)t.{\displaystyle 2z''+z'+z=e^{(-1+i)t}.}

Applying the exponential response formula (ERF), produces

zp=e(1+i)tP(1+i)=ie(1+i)t3P(1+i)=2(1+i)2+(1+i)+1=3i{\displaystyle {\begin{aligned}z_{p}&={\frac {e^{(-1+i)t}}{P(-1+i)}}\\&={\frac {ie^{(-1+i)t}}{3}}&&P(-1+i)=2(-1+i)^{2}+(-1+i)+1=-3i\end{aligned}}}

and the real part is

x3p=13etsin(t).{\displaystyle x_{3p}=-{\frac {1}{3}}e^{-t}\sin(t).}

Therefore, the particular solution of given equation,xp{\displaystyle x_{p}} is

xp=x1p+x2p+x3p=1+et213etsin(t).{\displaystyle x_{p}=x_{1p}+x_{2p}+x_{3p}=1+{\frac {e^{t}}{2}}-{\frac {1}{3}}e^{-t}\sin(t).}

Comparison with method of undetermined coefficients

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Theundetermined coefficients method is a method of appropriately selecting a solution type according to the form of the non-homogeneous term and determining the undetermined constant, so that it satisfies the non-homogeneous equation.[4] On the other hand, the ERF method obtains a special solution based on differential operator.[2] Similarity for both methods is that special solutions of non-homogeneous linear differential equations with constant coefficients are obtained, while form of the equation in consideration is the same in both methods.

For example, finding a particular solution ofy+y=et{\displaystyle y''+y=e^{t}} with the method of undetermined coefficients requires solving the characteristic equationλ2+1=0,λ=±i{\displaystyle \lambda ^{2}+1=0,\lambda =\pm i}. The non-homogeneous termf(t)=Beγt,B=1,γ=1{\displaystyle f(t)=Be^{\gamma t},B=1,\gamma =1} is then considered and sinceγ=1{\displaystyle \gamma =1} is not acharacteristic root, it puts a particular solution in form ofyp(t)=Aeγt{\displaystyle y_{p}(t)=Ae^{\gamma t}}, whereA{\displaystyle A} is undetermined constant. Substituting into the equation to determine the tentative constant yields

λ2Aeλt+Aeλt=eλt{\displaystyle \lambda ^{2}Ae^{\lambda t}+Ae^{\lambda t}=e^{\lambda t}}

therefore

A=1λ2+1.{\displaystyle A={\frac {1}{\lambda ^{2}+1}}.}

The particular solution can be found in form:[5]

yp(t)=Aeλt=eλtλ2+1.{\displaystyle y_{p}(t)=Ae^{\lambda t}={\frac {e^{\lambda t}}{\lambda ^{2}+1}}.}

On the other hand, the exponential response formula method requires characteristic polynomialP(s)=s2+1{\displaystyle P(s)=s^{2}+1} to be found, after which the non-homogeneous termsf(t)=Beγt,B=1,γ=1{\displaystyle f(t)=Be^{\gamma t},B=1,\gamma =1} is complex replaced. The particular solution is then found using formula

yp(t)=eλtP(λ)=eλtλ2+1.{\displaystyle y_{p}(t)={\frac {e^{\lambda t}}{P(\lambda )}}={\frac {e^{\lambda t}}{\lambda ^{2}+1}}.}

Generalized exponential response formula

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The exponential response formula method was discussed in case ofP(γ)0{\displaystyle P(\gamma )\neq 0}. In the case ofP(γ)=0,P(γ)0{\displaystyle P(\gamma )=0,P'(\gamma )\neq 0}, theresonant response formula is also considered.

In the case ofP(γ)=P(γ)==P(k1)(γ)=0,Pk(γ)0{\displaystyle P(\gamma )=P'(\gamma )=\cdots =P^{(k-1)}(\gamma )=0,P^{k}(\gamma )\neq 0}, we will discuss how the ERF method will be described in this section.

LetP(D){\displaystyle P(D)} be a polynomial operator with constant coefficients, andP(m){\displaystyle P^{(m)}} itsm{\displaystyle m}-th derivative. Then ODE

P(D)y=Beγt{\displaystyle P(D)y=Be^{\gamma t}}, whereγ{\displaystyle \gamma } is real or complex.

has the particular solution as following.

yp(t)=BtkeγtP(k)(γ),k=2,,m{\displaystyle y_{p}(t)={\frac {Bt^{k}e^{\gamma t}}{P^{(k)}(\gamma )}},k=2,\ldots ,m}

Above equation is calledgeneralized exponential response formula.

Example

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To find a particular solution of the following ODE;

y3y+2y=6et.{\displaystyle y'''-3y'+2y=6e^{t}.}

the characteristic polynomial isP(s)=s33s+2{\displaystyle P(s)=s^{3}-3s+2}.

By the calculating, we get the following:

P(1)=0,P(1)=0,P(1)=60.{\displaystyle P(1)=0,P'(1)=0,P''(1)=6\neq 0.}

Original exponential response formula is not applicable to this case due to division by zero. Therefore, using the generalized exponential response formula and calculated constants, particular solution is

yp(t)=6t2etP(1)=6t2et6=t2et.{\displaystyle y_{p}(t)={\frac {6t^{2}e^{t}}{P''(1)}}={\frac {6t^{2}e^{t}}{6}}=t^{2}e^{t}.}

Application examples

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Motion of object hanging from a spring

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Object hanging from a spring with displacementd{\displaystyle d}. The force acting is gravity, spring force, air resistance, and any other external forces.

FromHooke’s law, the motion equation of object is expressed as follows;[6][4]

md2xdt2+rdxdt+kx=F(t),{\displaystyle m{\frac {d^{2}x}{dt^{2}}}+r{\frac {dx}{dt}}+kx=F(t),}

whereF(t){\displaystyle F(t)} is external force.

Now, assumingdrag is neglected andF(t)=F0cos(ωt){\displaystyle F(t)=F_{0}\cos(\omega t)}, whereω=km{\displaystyle \omega ={\sqrt {\tfrac {k}{m}}}} (the external force frequency coincides with the natural frequency). Therefore, theharmonic oscillator with sinusoidal forcing term is expressed as following:

md2xdt2+kx=F(t).{\displaystyle m{\frac {d^{2}x}{dt^{2}}}+kx=F(t).}

Then, a particular solution is

xp=F02kmtsin(ωt).{\displaystyle x_{p}={\frac {F_{0}}{2{\sqrt {km}}}}t\sin(\omega t).}

Applying complex replacement and the ERF: ifzp{\displaystyle z_{p}} is a solution to the complex DE

md2zdt2+kz=F0eiωt,{\displaystyle m{\frac {d^{2}z}{dt^{2}}}+kz=F_{0}e^{i\omega t},}

thenxp=Re(zp){\displaystyle x_{p}=\operatorname {Re} (z_{p})} will be a solution to the given DE.

The characteristic polynomial isP(s)=ms2+k{\displaystyle P(s)=ms^{2}+k}, andγ=iω{\displaystyle \gamma =i\omega }, so thatP(γ)=0{\displaystyle P(\gamma )=0}. However, sinceP(s)=2ms{\displaystyle P'(s)=2ms}, thenP(γ)=P(iω)=2mωi0{\displaystyle P'(\gamma )=P'(i\omega )=2m\omega i\neq 0}. Thus, the resonant case of the ERF gives

yp=Re(F0teiωtP(γ))=Re(F0t(cos(ωt)+isin(ωt))2miω)=Re(F0t(icos(ωt)sin(ωt))2mω)=F0tsin(ωt)2mω=F02kmtsin(ωt).{\displaystyle {\begin{aligned}y_{p}&=\operatorname {Re} \left({\frac {F_{0}te^{i\omega t}}{P'(\gamma )}}\right)\\[4pt]&=\operatorname {Re} \left({\frac {F_{0}t(\cos(\omega t)+i\sin(\omega t))}{2mi\omega }}\right)\\[4pt]&=\operatorname {Re} \left({\frac {-F_{0}t(i\cos(\omega t)-\sin(\omega t))}{2m\omega }}\right)\\[4pt]&={\frac {F_{0}t\sin(\omega t)}{2m\omega }}\\[4pt]&={\frac {F_{0}}{2{\sqrt {km}}}}t\sin(\omega t).\end{aligned}}}

Electrical circuits

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Considering the electric current flowing through an electric circuit, consisting of a resistance (R{\displaystyle R}), a capacitor (C{\displaystyle C}), a coil wires (L{\displaystyle L}), and a battery (E{\displaystyle E}), connected in series.[3][6]

This system is described by an integral-differential equation found by Kirchhoff calledKirchhoff’s voltage law, relating the resistorR{\displaystyle R}, capacitorC{\displaystyle C}, inductorL{\displaystyle L}, batteryE{\displaystyle E}, and the currentI{\displaystyle I} in a circuit as follows,

LI(t)+RI(t)+1Ct0tI(s)ds=t0tE(s)ds{\displaystyle LI'(t)+RI(t)+{\frac {1}{C}}\int _{t_{0}}^{t}I(s)\,ds=\int _{t_{0}}^{t}E(s)\,ds}

Differentiating both sides of the above equation, produces the following ODE.

LI(t)+RI(t)+1CI(t)=E(t){\displaystyle LI''(t)+RI'(t)+{\frac {1}{C}}I(t)=E(t)}

Now, assumingE(t)=E0sin(ω0t){\displaystyle E(t)=E_{0}\sin(\omega _{0}t)}, whereω0=1LC{\displaystyle \omega _{0}={\sqrt {\tfrac {1}{LC}}}}. (ω0{\displaystyle \omega _{0}} is calledresonance frequency inLRC circuit). Under above assumption, the output (particular solution) corresponding to inputE(t){\displaystyle E(t)} can be found. In order to do it, given input can be converted in complex form:

E(t)=E0sin(ω0t)=Im(E0eiω0t){\displaystyle E(t)=E_{0}\sin(\omega _{0}t)=\operatorname {Im} (E_{0}e^{i\omega _{0}t})}

The characteristic polynomial isP(s)=Ls2+Rs+1s{\displaystyle P(s)=Ls^{2}+Rs+{\frac {1}{s}}}, whereP(iω0)=iω0R0{\displaystyle P(i\omega _{0})=i\omega _{0}R\neq 0}. Therefore, from the ERF, a particular solution can be obtained as follows;

Ip=Im(E0eiω0tP(iω0))=Im(E0eiω0tiω0R)=Im(E0(icos(ω0t)sin(ω0t))ω0R)=E0cos(ω0t)ω0R{\displaystyle {\begin{aligned}I_{p}&=\operatorname {Im} \left({\frac {E_{0}e^{i\omega _{0}t}}{P(i\omega _{0})}}\right)\\&=\operatorname {Im} \left({\frac {E_{0}e^{i\omega _{0}t}}{i\omega _{0}R}}\right)\\&=\operatorname {Im} \left({\frac {-E_{0}(i\cos(\omega _{0}t)-\sin(\omega _{0}t))}{\omega _{0}R}}\right)\\[4pt]&={\frac {-E_{0}\cos(\omega _{0}t)}{\omega _{0}R}}\end{aligned}}}

Complex gain and phase lag

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Considering the general LTI system

P(D)x=Q(D)f(t){\displaystyle P(D)x=Q(D)f(t)}

wheref(t){\displaystyle f(t)} is the input andP(D),Q(D){\displaystyle P(D),Q(D)} are given polynomial operators, while assuming thatP(s)0{\displaystyle P(s)\neq 0}.In case thatf(r)=F0cos(ωt){\displaystyle f(r)=F_{0}\cos(\omega t)}, a particular solution to given equation is

xp(t)=Re(F0Q(iω)P(iω)eiωt).{\displaystyle x_{p}(t)=\operatorname {Re} \left(F_{0}{\frac {Q(i\omega )}{P(i\omega )}}e^{i\omega t}\right).}

Considering the following concepts used in physics and signal processing mainly.

References

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  1. ^abcMiller, Haynes; Mattuck, Arthur (June 2004),Differential Equations, vol. IMSCP-MD5-9ca77abee86dc4bbaef9e2d6b157eaa9, pp. 50–56,hdl:1721.1/34888
  2. ^abcWirkus, Stephen A.; Swift, Randal J.; Szypowski, Ryan S. (2016),A Course in Differential Equations with Boundary Value Problems, Second Edition, Textbooks in Mathematics (2nd ed.), Chapman and Hall/CRC, pp. 230–238,ISBN 978-1498736053
  3. ^abCharles L, Phillips (2007),Signals, Systems, And Transforms, Prentice Hall, pp. 112–122,ISBN 978-0-13-198923-8
  4. ^abCoddington, Earl A.; Carlson, Robert (1997),Linear Ordinary Differential Equations(PDF), pp. 3–80,ISBN 0-89871-388-9
  5. ^Ralph P. Grimaldi (2000). "Nonhomogeneous Recurrence Relations". Section 3.3.3 ofHandbook of Discrete and Combinatorial Mathematics. Kenneth H. Rosen, ed. CRC Press.ISBN 0-8493-0149-1.
  6. ^abEdwards, C. Henry; Penney, David E. (2008),ELEMENTARY DIFFERENTIAL EQUATIONS, Pearson Prentice Hall, pp. 100–193,ISBN 978-0-13-239730-8

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