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Second Order Linear Equations-Differential Equations and Their Solutions-Lecture Notes, Study notes of Differential Equations

Differentiation Equations course is one of basic course of science study. Its part of Mathematics, Computer Science, Physics, Engineering. This is lecture handout provided by teacher. It includes: Second, Order, Linear, Equations, Existence, Uniqueness, Principle, Superposition, Legendre, Equation, Combination, Ordinary

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2011/2012

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UNIT II: SECOND-ORDER LINEAR EQUATIONS
We discuss the existence and uniqueness for second-order linear differential equations with
constant coefficients by means of general principles which are valid for equations with variable
coefficients. We develop techniques of the Wronskian and apply to study the oscillatory behav-
ior. We also give qualitative results which depend on conditions at an interior maximum and
minimum and apply to second-order equations.
LECTURE 6. SECOND-ORDER LINEAR EQUATIONS
The most intensively studied ordinary differential equations are second-order linear equations
of the form
(6.1) p0(t)y�� + p1(t)y + p2(t)y = f(t),
d
where = is differentiation in the t-variable, and pj (t),f (t), j = 0, 1, 2, are continuous functions
dt
on an interval I.
Remark 6.1 (Remark on singular points). If p0(t) vanishes at some point, say t0, then we say that
(6.1) has a singular point at t0. For example, the Legendre equation
((1 t2)y) + λy = 0 or (1 t2)y�� 2ty + λy = 0
has singular points at t = ±1. While the equation admits polynomial solutions, called the Le-
gendre polynomials, for λ = n(n + 1), other nontrivial solutions develop a singularity at either
t = 1 or t = 1.
We do not treat singular points in this course.
Bases of solutions. If p0(t) = 0 on I then (6.1) reduces to the normal form
(6.2) y�� + p(t)y + q(t)y = f(t),
where p(t), q(t) and f(t) are continuous on I.
We consider the corresponding homogeneous equation
(6.3) y�� + p(t)y + q(t)y = 0.
Since the equation is linear, the principle of superposition applies, and if φ and ψ are solutions of
(6.3) then so is their linear combination c1φ + c2ψ for any constants c1, c2.
Definition 6.2. On a given interval two functions are said linearly dependent if one of them is a
constant multiple of the other. They are said linearly independent, otherwise.
For example, et and e2t are linearly independent on every interval of t, although they agree
at t = 0.
If φ and ψ are solutions of (6.3) and, in addition, if φ and ψ are linearly independent then every
solution of (6.3) is of the form c1φ + c2ψ for some constants c1, c2. We call such a pair of solutions
{φ, ψ} a basis of solutions of (6.3). The existence of a basis of solutions is a fundamental result for
(6.3) and for a broader class of linear homogeneous differential equations, and we will prove it
later.
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UNIT II: SECOND-ORDER LINEAR EQUATIONS

We discuss the existence and uniqueness for second-order linear differential equations with constant coefficients by means of general principles which are valid for equations with variable coefficients. We develop techniques of the Wronskian and apply to study the oscillatory behav ior. We also give qualitative results which depend on conditions at an interior maximum and minimum and apply to second-order equations.

LECTURE 6. SECOND-ORDER LINEAR EQUATIONS

The most intensively studied ordinary differential equations are second-order linear equations of the form

(6.1) p 0 (t)y��^ + p 1 (t)y�^ + p 2 (t)y = f (t),

d where �^ = is differentiation in the t-variable, and pj (t), f (t), j = 0, 1 , 2 , are continuous functions dt on an interval I.

Remark 6.1 (Remark on singular points). If p 0 (t) vanishes at some point, say t 0 , then we say that (6.1) has a singular point at t 0. For example, the Legendre equation

((1 − t^2 )y�)�^ + λy = 0 or (1 − t^2 )y��^ − 2 ty�^ + λy = 0

has singular points at t = ± 1. While the equation admits polynomial solutions, called the Le gendre polynomials, for λ = n(n + 1), other nontrivial solutions develop a singularity at either t = 1 or t = − 1. We do not treat singular points in this course.

Bases of solutions. If p 0 (t) = 0� on I then (6.1) reduces to the normal form

(6.2) y��^ + p(t)y�^ + q(t)y = f (t),

where p(t), q(t) and f (t) are continuous on I. We consider the corresponding homogeneous equation

(6.3) y��^ + p(t)y�^ + q(t)y = 0.

Since the equation is linear, the principle of superposition applies, and if φ and ψ are solutions of (6.3) then so is their linear combination c 1 φ + c 2 ψ for any constants c 1 , c 2.

Definition 6.2. On a given interval two functions are said linearly dependent if one of them is a constant multiple of the other. They are said linearly independent, otherwise.

For example, e−t^ and e−^2 t^ are linearly independent on every interval of t, although they agree at t = 0. If φ and ψ are solutions of (6.3) and, in addition, if φ and ψ are linearly independent then every solution of (6.3) is of the form c 1 φ + c 2 ψ for some constants c 1 , c 2. We call such a pair of solutions {φ, ψ} a basis of solutions of (6.3). The existence of a basis of solutions is a fundamental result for (6.3) and for a broader class of linear homogeneous differential equations, and we will prove it later.

1

Constant-coefficient differential equations. We construct a basis of solution of a second-order constant-coefficient differential equation

(6.4) y��^ + py�^ + qy = 0,

where p, q are constants. The trick is to set y(t) = eλt, where λ ∈ C. We use (eλt)�^ = λeλt^ and (eλt)��^ = λ^2 eλt^ to write (6.4) as

eλt(λ^2 + pλ + q) = 0.

Since eλt^ = 0� , it follows that y(t) = eλt^ is a solution of (6.4) if and only if λ is a root of the quadratic polynomial

(6.5) p(λ) = λ^2 + pλ + q,

called the characteristic polynomial of (6.4). The characteristic polynomial has two roots (counting multiplicity) √ Δ (^2) λ =

−p ± 2

, Δ = p − 4 q.

We divide our discussion according to the nature of the roots, which is determined by the sign of the discriminant Δ. If Δ > 0 then both roots are real, and

e(−p+

√ Δ)t/ (^2) , e(−p−

√ Δ)t/ 2

are two solutions of (6.4). Moreover, they are linearly independent. Therefore, they form a basis of solutions of (6.4). If Δ = 0 then the method yields only the single solution e−pt/^2. Using the method suggested by Lagrange, we try ve−pt/^2 as a second solution, where v = v(t). Upon substitution, (6.4) becomes

(ve−pt/^2 )��^ + p(ve−pt/^2 )�^ + qve−pt/^2 = v��e−pt/^2 = 0.

Thus, v��^ = 0 must hold and we obtain the family of solutions y(t) = (c 1 + c 2 t)e−pt/^2. Since

e−pt/^2 , te−pt/^2

are linearly independent, they form a basis of solutions of (6.4). If Δ < 0 , then both roots are complex, and

e−pt/2+i

√−Δt/ 2 , e−pt/^2 −i

√−Δt/ 2

are two (complex) solutions of (6.4). Then, we infer that

u + v = e−pt/^2 cos(

−Δt/2),

u − v = e−pt/^2 sin(

−Δt/2) 2 2 i

are two real solutions of (6.4). Since they are linearly independent, they form a basis of (real) solutions of (6.4). The principle of equating real parts holds for, more generally, variable-coefficient equations, and if z(t) = x(t) + iy(t) is a complex solution of

z��^ + p(t)z�^ + q(t)z = 0,

where p(t) and q(t) are real-valued functions then so are x and y.

Exercise. Prove the principle of equating real parts.

Lecture 6 2 18.034 Spring 2009

Historical introduction to linear differential equations. The history of differential equations be gan in the 17th century when Newton, Leibniz, and the Bernoullis solved some simple differential equations of first- and second-order arising from problems in geometry and mechanics. These early discoveries seemed to suggest that the solutions of all differential equations based on geo metric and physical problems could be expressed in terms of the familiar elementary functions of calculus. Therefore, much of the early work was devoted to developing ingenious techniques for solving differential equations by addition, subtraction, multiplication, division, composition, and integration, applied only finitely many times to the familiar functions of calculus. But, it soon became apparent that relatively few differential equations could be solved by el ementary means. Little by little, mathematicians began to realize that it was hopeless to try to discover methods for solving all differential equations. Instead, they found it more fruitful to ask whether or not a given differential equation has any solution at all and, when it has, to try to deduce properties of the solution from the differential equation itself. Within this framework, mathematicians began to think of differential equations as new sources of functions. In the 1820’s, Cauchy obtained the first “existence theorem” for differential equations. He proved that every first-order equation of the form y�^ = f (x, y) has a solution whenever the right member, f (x, y), satisfies certain general conditions. One important example is the Ricatti equa tion y�^ = p(x)y 2 + q(x)y + r(x),

where p, q and r are given functions. Cauchy’s work implies the existence of a solution of the Ricatti equation in any open interval (−a, a) about the origin, provided p, q and r have power- series expansions in (−a, a). In 1841 Joseph Liouville showed that in some cases this solution cannot be obtained by elementary means. Experiences has shown that it is difficult to obtain results of much generality about solutions of differential equations, except for a few types. Among these are the so-called linear differential equations, which occur in a great variety of scientific problems. We develop the principal results concerning these equations.

Lecture 6 4 18.034 Spring 2009