Ordinary Differential Equations Vocabulary

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Vocabulary terms and definitions from the lecture notes on Ordinary Differential Equations, covering first and second order equations, Laplace transforms, and linear systems.

Last updated 9:16 PM on 6/18/26
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36 Terms

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Differential Equation

An equation where the unknown is a function and both the function and its derivatives may appear in the equation.

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Order

The highest derivative order that appears in a differential equation.

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Ordinary Differential Equation (ODE)

A differential equation where the unknown function depends on a single independent variable, usually denote as tt.

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Partial Differential Equation (PDE)

A differential equation where the unknown function depends on two or more independent variables, and their partial derivatives appear in the equation.

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Linear Differential Equation

An ODE is linear if the source function ff is linear on its second argument, resulting in the form y(t)=a(t)y+b(t)y'(t) = a(t)y + b(t). Otherwise, it has variable coefficients or is nonlinear.

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Initial Value Problem (IVP)

The problem of finding a solution to a differential equation that satisfies specific conditions at a given point, such as y(t0)=y0y(t_0) = y_0 and potentially its derivatives.

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Integrating Factor Method

A method used to solve linear first-order differential equations by multiplying the equation by a function μ(t)\mu(t) to transform one side into a total derivative.

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Potential Function (\psi)

A function whose total derivative with respect to the independent variable is zero, converting a differential equation into the form ψ=0\psi' = 0.

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Bernoulli Equation

A first-order non-linear differential equation of the form y=p(t)y+q(t)yny' = p(t)y + q(t)y^n, which can be transformed into a linear equation.

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Separable Differential Equation

A differential equation that can be written in the form h(y)y=g(t)h(y)y' = g(t), where the left side depends only on yy and the right side only on tt.

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Euler Homogeneous Equation

A first-order differential equation of the form y(t)=F(y(t)/t)y'(t) = F(y(t)/t), often solved by transforming it into a separable equation.

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Exact Differential Equation

A differential equation N(t,y)y+M(t,y)=0N(t, y)y' + M(t, y) = 0 where the partial derivatives satisfy tN(t,y)=yM(t,y)\partial_t N(t, y) = \partial_y M(t, y), and which represents a total derivative of a potential function.

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Half-life (\tau)

The time it takes for half of a radioactive material to decay, related to the decay constant kk by the formula kτ=ln(2)k\tau = \ln(2).

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Newton's Cooling Law

The principle stating that the rate of temperature change of an object is proportional to the difference between its temperature and the constant temperature of the surrounding medium.

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Linear Operator (L)

A function acting on other functions that satisfies the property L(c1y1+c2y2)=c1L(y1)+c2L(y2)L(c_1y_1 + c_2y_2) = c_1L(y_1) + c_2L(y_2) for arbitrary constants and functions.

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Superposition Property

A property of linear homogeneous equations where a linear combination of any two solutions is also a solution.

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Linearly Dependent Functions

Two functions y1,y2y_1, y_2 are linearly dependent if they are proportional to each other, such that y1(t)=cy2(t)y_1(t) = c y_2(t) for all tt.

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Fundamental Solutions

A set of functions y1,y2y_1, y_2 that are linearly independent solutions of an homogeneous linear differential equation.

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Wronskian

The determinant of the matrix formed by a set of functions and their derivatives, given as W12(t)=y1(t)y2(t)y1(t)y2(t)W_{12}(t) = y_1(t)y'_2(t) - y'_1(t)y_2(t).

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Abel's Theorem

A theorem stating that the Wronskian of two solutions to a linear second-order homogeneous ODE satisfies the first-order linear equation W+a1(t)W=0W' + a_1(t)W = 0.

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Characteristic Polynomial

For a second-order linear homogeneous ODE with constant coefficients y+a1y+a0y=0y'' + a_1y' + a_0y = 0, it is the polynomial p(r)=r2+a1r+a0p(r) = r^2 + a_1r + a_0.

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Euler Equidimensional Equation

A linear second-order ODE of the form (tt0)2y+a1(tt0)y+a0y=0(t - t_0)^2 y'' + a_1(t - t_0)y' + a_0y = 0 where the power of the independent variable matches the order of the derivative.

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Variation of Parameters Method

A general method to find a particular solution ypy_p to a nonhomogeneous linear ODE using the fundamental solutions of the corresponding homogeneous equation.

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Undetermined Coefficients Method

A method to find a particular solution ypy_p of a nonhomogeneous constant-coefficient linear ODE by guessing a form based on the source function f(t)f(t).

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Regular Point

A point x0x_0 where the coefficient functions p(x)p(x) and q(x)q(x) of a linear second-order differential equation are analytic.

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Regular Singular Point

A singular point x0x_0 of a linear second-order ODE where the functions (xx0)p(x)(x - x_0)p(x) and (xx0)2q(x)(x - x_0)^2q(x) are analytic.

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Laplace Transform

An integral transformation of a function f(t)f(t) defined as F(s)=0estf(t)dtF(s) = \int_0^\infty e^{-st}f(t) dt, useful for converting constant-coefficient ODEs into algebraic equations.

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Step Function (u)

A discontinuous function defined as u(t)=0u(t) = 0 for t<0t < 0 and u(t)=1u(t) = 1 for t0t \ge 0, used to construct piecewise continuous sources.

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Dirac Delta Generalized Function (\delta)

A generalized function defined as the limit of a sequence of bump functions, characterized by the property abf(t)δ(tc)dt=f(c)\int_a^b f(t) \delta(t - c) dt = f(c).

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Convolution

A binary operation on two functions defined as (fg)(t)=0tf(τ)g(tτ)dτ(f * g)(t) = \int_0^t f(\tau)g(t - \tau) d\tau.

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Fundamental Matrix

An n×nn \times n matrix valued function X(t)X(t) whose columns are formed by a fundamental set of solutions to a linear differential system.

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Critical Point

A point ycy_c in an autonomous system y=f(y)y' = f(y) such that f(yc)=0f(y_c) = 0, corresponding to stationary or equilibrium solutions.

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Jacobian Matrix

The matrix of first-order partial derivatives of a vector field, used in the linearization of nonlinear systems at critical points.

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Hyperbolic Critical Point

A critical point of a two-dimensional nonlinear system where the linearized Jacobian matrix has eigenvalues with non-zero real parts.

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Diagonalizable Matrix

A square matrix AA that can be decomposed as A=PDP1A = PDP^{-1} where DD is a diagonal matrix and PP is invertible.

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Matrix Exponential (eAe^A)

An infinite sum defined as eA=n=0Ann!e^A = \sum_{n=0}^\infty \frac{A^n}{n!}, used to express solutions of first-order linear homogeneous systems with constant coefficients.