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Initial value problem

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From Wikipedia, the free encyclopedia
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  1. Initial value problem

In calculus, an initial value problema (IVP) is an ordinary differential equation together with an initial condition which specifies the value of the unknown function at a given point in the domain. Modeling a system in physics or other sciences frequently amounts to solving an initial value problem. In that context, the IVP is a differential equation which specifies how the system evolves with time plus the initial conditions of the problem.
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Contents
  • (Top)
  • Definition
  • Existence and uniqueness of solutions
  • Examples
  • Notes
  • See also
  • References
  • Recent changes
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Contents
Contents8 sections
  • (Top)
  • Definition
  • Existence and uniqueness of solutions
  • Examples
  • Notes
  • See also
  • References
  • Recent changes
  • Rabbit hole

Definition

An initial value problem is a differential equation

with where is an open set of ,

together with a point in the domain of

called the initial condition.

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

In higher dimensions, the differential equation is replaced with a family of equations , and is viewed as the vector , most commonly associated with the position in space. More generally, the unknown function can take values on infinite dimensional spaces, such as Banach spaces or spaces of distributions.

Initial value problems are extended to higher orders by treating the derivatives in the same way as an independent function, e.g. . For this second-order differential equation, two initial conditions are needed, for example the numerical values of and .

Existence and uniqueness of solutions

The Picard–Lindelöf theorem guarantees a unique solution on some interval containing t0 if f is continuous on a region containing t0 and y0 and satisfies the Lipschitz condition on the variable y. 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 f 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 f 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 f.

Examples

A simple example is to solve and . We are trying to find a formula for that satisfies these two equations.

Rearrange the equation so that is on the left hand side

Now integrate both sides with respect to (this introduces an unknown constant ).

Eliminate the logarithm with exponentiation on both sides

Let be a new unknown constant, , so

Now we need to find a value for . Use as given at the start and substitute 0 for and 19 for

this gives the final solution of .

Second example

The solution of

can be found to be

Indeed,

and , so the given function satisfies the ODE and the initial condition.

Third example

The solution of

Applying initial conditions we get , hence the solution:

.

However, the following function is also a solution of the initial value problem:

The function is differentiable everywhere and continuous, while satisfying the differential equation as well as the initial value problem. Thus, this is an example of such a problem with infinite number of solutions.

Notes

  1. aAlso called a Cauchy problem by some authors.

See also

  • Boundary value problem
  • Constant of integration
  • Integral curve
  • Norton's dome

References

  • Coddington, Earl A.; 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.{{cite book}}: CS1 maint: multiple names: authors list (link)
  • Okamura, Hirosi (1942). "Condition nécessaire et suffisante remplie par les équations différentielles ordinaires sans points de Peano". Mem. Coll. Sci. Univ. Kyoto Ser. A (in French). 24: 21–28. MR 0031614.
  • Agarwal, Ravi P.; Lakshmikantham, V. (1993). Uniqueness and Nonuniqueness Criteria for Ordinary Differential Equations. Series in real analysis. Vol. 6. World Scientific. ISBN 978-981-02-1357-2.
  • Polyanin, Andrei D.; Zaitsev, Valentin F. (2003). Handbook of exact solutions for ordinary differential equations (2nd ed.). Boca Raton, Florida: 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.
Study aids for Initial value problem

Terminology

IVP
In calculus, an initial value problem (IVP) is an ordinary differential equation together with an initial condition which specifies the value of the unknown function at a given point in the domain.
solution
A solution to an initial value problem is a function that is a solution to the differential equation and satisfies

Terms the article defines in bold, quoted in context.

Categories:
  • Boundary conditions

666 words · 1 references · revision 1339830472 · CC BY-SA 4.0

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Key concepts

  • Initial condition2
  • Calculus1
  • Ordinary differential equation1
  • Function (mathematics)1
  • Domain of a function1
  • Time evolution1
  • Open set1
  • Banach space1
  • Distribution (mathematics)1
  • Lipschitz continuity2

The articles this one links to most, weighted towards the introduction.

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Created
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253 revisions in total · 160 contributors

  1. 22 Feb 2026, 15:16 UTCNerd271Minor improvement.−6diff
  2. 22 Feb 2026, 15:09 UTCNerd271Template.+51diff
  3. 13 Feb 2026, 00:33 UTCMoja42§ growthexperiments-addlink-summary-summary:2|0|0+8diff
  4. 9 Dec 2025, 15:37 UTCPaul Matthews§ Definition Explain 2 ics needed for 2nd order ode+158diff
  5. 9 Dec 2025, 15:28 UTCPaul Matthews§ Examples Check i.c. satisfied+98diff
  6. 9 Dec 2025, 15:22 UTCPaul MatthewsNo edit summary−12diff
  7. 9 Dec 2025, 15:20 UTCPaul MatthewsDon't need multivariable for ivp−14diff
  8. 7 Jun 2025, 14:25 UTCAnonymous contributorsome dingus tried to be funnay−16diff

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Created
2 Mar 2004
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Last edited
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