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Initial value problem

 
Sci-Tech Dictionary: initial-value problem
(i′nish·əl ¦val·yü ′präb·ləm)

(fluid mechanics) A dynamical problem whose solution determines the state of a system at all times subsequent to a given time at which the state of the system is specified by given initial conditions; the initial-value problem is contrasted with the steady-state problem, in which the state of the system remains unchanged in time. Also known as transient problem.
(mathematics) An nth-order ordinary or partial differential equation in which the solution and its first (n - 1) derivatives are required to take on specified values at a particular value of a given independent variable.


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Wikipedia: Initial value problem
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In mathematics, in the field of differential equations, an initial value problem is an ordinary differential equation together with specified value, called the initial condition, of the unknown function at a given point in the domain of the solution. In physics or other sciences, modeling a system frequently amounts to solving an initial value problem; in this context, the differential equation is an evolution equation specifying how, given initial conditions, the system will evolve with time.

Contents

Definition

An initial value problem is a differential equation

y'(t) = f(t, y(t)) \quad\text{with}\quad f: \mathbb{R} \times \mathbb{R} \to \mathbb{R}

together with a point in the domain of ƒ

(t_0, y_0) \in \mathbb{R} \times \mathbb{R},

called the initial condition.

A solution to an initial value problem is a function y that is a solution to the differential equation and satisfies

y(t_0) = y_0. \,

This statement subsumes problems of higher order, by interpreting y as a vector. For derivatives of second or higher order, new variables (elements of the vector y) are introduced.

More generally, the unknown function y can take values on infinite dimensional spaces, such as Banach spaces or spaces of distributions.

Existence and uniqueness of solutions

For a large class of initial value problems, the existence and uniqueness of a solution can be demonstrated.

The Picard–Lindelöf theorem guarantees a unique solution on some interval containing t0 if ƒ and its partial derivative ∂ƒ / ∂y are continuous on a region containing t0 and y0. The proof of this theorem proceeds by reformulating the problem as an equivalent integral equation. The integral can be considered an operator which maps one function into another, such that the solution is a fixed point of the operator. The Banach fixed point theorem is then invoked to show that there exists a unique fixed point, which is the solution of the initial value problem.

An older proof of the Picard–Lindelöf theorem constructs a sequence of functions which converge to the solution of the integral equation, and thus, the solution of the initial value problem. Such a construction is sometimes called "Picard's method" or "the method of successive approximations". This version is essentially a special case of the Banach fixed point theorem.

Hiroshi Okamura obtained a necessary and sufficient condition for the solution of an initial value problem to be unique. This condition has to do with the existence of a Lyapunov function for the system.

In some situations, the function ƒ is not of class C1, or even Lipschitz, so the usual result guaranteeing the local existence of a unique solution does not apply. The Peano existence theorem however proves that even for ƒ merely continuous, solutions are guaranteed to exist locally in time; the problem is that there is no guarantee of uniqueness. The result may be found in Coddington & Levinson (1955, Theorem 1.3) or Robinson (2001, Theorem 2.6). An even more general result is the Carathéodory existence theorem, which proves existence for some discontinuous functions ƒ.

Examples

A simple example is to solve y' = 0.85y and y(0) = 19. We are trying to find a formula for y(t) that satisfies these two equations.

Start by noting that y' = \frac{dy}{dt}, so

\frac{dy}{dt} = 0.85 y

Now rearrange the equation so that y is on the left and t on the right

\frac{dy}{y} = 0.85.dt

Now integrate both sides (this introduces an unknown constant B).

ln | y | = 0.85t + B

Eliminate the ln

| y | = eBe0.85t

Let C be a new unknown constant, C = \pm e^B, so

y = Ce0.85t

Now we need to find a value for C. Use y(0) = 19 as given at the start and substitute 0 for t and 19 for y

19 = Ce0.85 * 0
C = 19

this gives the final solution of y(t) = 19e0.85t.


2nd example. The solution of

y'+3y=6t+5,\qquad y(0)=3

can be found to be

y(t)=2e^{-3t}+2t+1. \,

Indeed,

 \begin{align}
y'+3y &= \tfrac{d}{dt} (2e^{-3t}+2t+1)+3(2e^{-3t}+2t+1) \\
      &= (-6e^{-3t}+2)+(6e^{-3t}+6t+3) \\
      &= 6t+5.
\end{align}

See also

References

  • Coddington, Earl A. and Levinson, Norman (1955). Theory of ordinary differential equations. New York-Toronto-London: McGraw-Hill Book Company, Inc.. 
  • Hirsch, Morris W. and Smale, Stephen (1974). Differential equations, dynamical systems, and linear algebra. New York-London: Academic Press. 
  • Okamura, Hirosi (1942). "Condition nécessaire et suffisante remplie par les équations différentielles ordinaires sans points de Peano" (in French). Mem. Coll. Sci. Univ. Kyoto Ser. A. 24: 21–28. 
  • Polyanin, Andrei D. and Zaitsev, Valentin F. (2003). Handbook of exact solutions for ordinary differential equations (2nd ed.). Boca Raton, FL: Chapman & Hall/CRC. ISBN 1-58488-297-2. 
  • Robinson, James C. (2001). Infinite-dimensional dynamical systems: An introduction to dissipative parabolic PDEs and the theory of global attractors. Cambridge: Cambridge University Press. ISBN 0-521-63204-8. 

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