non-linear differential equation

(noun)

nonlinear partial differential equation is partial differential equation with nonlinear terms

Related Terms

  • boundary condition
  • derivative

Examples of non-linear differential equation in the following topics:

  • Separable Equations

    • Separable differential equations are equations wherein the variables can be separated.
    • Non-linear differential equations come in many forms.
    • A separable equation is a differential equation of the following form:
    • The original equation is separable if this differential equation can be expressed as:
    • A wave function which satisfies the non-relativistic Schrödinger equation with $V=0$.
  • Predator-Prey Systems

    • The relationship between predators and their prey can be modeled by a set of differential equations.
    • The predator–prey equations are a pair of first-order, non-linear, differential equations frequently used to describe the dynamics of biological systems in which two species interact, one a predator and one its prey.
    • As differential equations are used, the solution is deterministic and continuous.
    • However, a linearization of the equations yields a solution similar to simple harmonic motion with the population of predators following that of prey by 90 degrees.
    • The solutions to the equations are periodic.
  • Logistic Equations and Population Grown

    • A logistic equation is a differential equation which can be used to model population growth.
    • The logistic function is the solution of the following simple first-order non-linear differential equation:
    • The equation describes the self-limiting growth of a biological population.
    • Letting $P$ represent population size ($N$ is often used instead in ecology) and $t$ represent time, this model is formalized by the following differential equation:
    • In the equation, the early, unimpeded growth rate is modeled by the first term $rP$.
  • Nonhomogeneous Linear Equations

    • In the previous atom, we learned that a second-order linear differential equation has the form:
    • When $f(t)=0$, the equations are called homogeneous second-order linear differential equations.
    • Linear differential equations are differential equations that have solutions which can be added together to form other solutions.
    • Phenomena such as heat transfer can be described using nonhomogeneous second-order linear differential equations.
    • Identify when a second-order linear differential equation can be solved analytically
  • Linear Equations

    • A linear equation is an algebraic equation in which each term is either a constant or the product of a constant and a single variable.
    • A common form of a linear equation in the two variables $x$ and $y$ is:
    • The parametric form of a linear equation involves two simultaneous equations in terms of a variable parameter $t$, with the following values:
    • Linear differential equations are differential equations that have solutions which can be added together to form other solutions.
    • Linear differential equations are of the form:
  • Second-Order Linear Equations

    • A second-order linear differential equation has the form $\frac{d^2 y}{dt^2} + A_1(t)\frac{dy}{dt} + A_2(t)y = f(t)$, where $A_1(t)$, $A_2(t)$, and $f(t)$ are continuous functions.
    • Linear differential equations are of the form $Ly = f$, where the differential operator $L$ is a linear operator, $y$ is the unknown function (such as a function of time $y(t)$), and the right hand side $f$ is a given function of the same nature as $y$ (called the source term).
    • where $D$ is the differential operator $\frac{d}{dt}$ (i.e.
    • When $f(t)=0$, the equations are called homogeneous second-order linear differential equations.
    • A simple pendulum, under the conditions of no damping and small amplitude, is described by a equation of motion which is a second-order linear differential equation.
  • Linear Approximation

    • A linear approximation is an approximation of a general function using a linear function.
    • Linear approximations are widely used to solve (or approximate solutions to) equations.
    • Given a twice continuously differentiable function $f$ of one real variable, Taylor's theorem states that:
    • Therefore, the expression on the right-hand side is just the equation for the tangent line to the graph of $f$ at $(a, f(a))$.
    • Since the line tangent to the graph is given by the derivative, differentiation is useful for finding the linear approximation.
  • Applications of Second-Order Differential Equations

    • A second-order linear differential equation can be commonly found in physics, economics, and engineering.
    • Examples of homogeneous or nonhomogeneous second-order linear differential equation can be found in many different disciplines, such as physics, economics, and engineering.
    • The equation of motion is given as:
    • Therefore, we end up with a homogeneous second-order linear differential equation:
    • Identify problems that require solution of nonhomogeneous and homogeneous second-order linear differential equations
  • Series Solutions

    • The power series method is used to seek a power series solution to certain differential equations.
    • The power series method is used to seek a power series solution to certain differential equations.
    • In general, such a solution assumes a power series with unknown coefficients, then substitutes that solution into the differential equation to find a recurrence relation for the coefficients.
    • Let us look at the case know as Hermit differential equation:
    • Using power series, a linear differential equation of a general form may be solved.
  • Differentials

    • The differential $dy$ is defined by:
    • The notation is such that the equation
    • The domain of these variables may take on a particular geometrical significance if the differential is regarded as a particular differential form, or a particular analytical significance if the differential is regarded as a linear approximation to the increment of a function.
    • Higher-order differentials of a function $y = f(x)$ of a single variable $x$ can be defined as follows:
    • Use implicit differentiation to find the derivatives of functions that are not explicitly functions of $x$
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