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In mathematics, a partial differential equation (PDE) is a differential equation that contains unknown multivariable functions and their partial derivatives. PDE are used to formulate problems involving functions of several variables, and are either solved by computers, or used to create a computer model. A special case is ordinary differential equations (ODE), which deal with functions of a single variable and their derivatives.
PDE can be used to describe a wide variety of phenomena such as sound, heat, diffusion, electrostatics, electrodynamics, fluid dynamics, elasticity, gravitation and quantum mechanics. These seemingly distinct physical phenomena can be formalised similarly in terms of PDEs. Just as ordinary differential equations often model one-dimensional dynamical systems, partial differential equations often model multidimensional systems.
Fractional differential equations (FDE) can describe the dynamics of several complex and nonlocal systems with memory. They arise in many scientific and engineering areas such as physics, chemistry, biology, biophysics, economics, control theory, signal and image processing, etc. Particularly, nonlinear systems describing different phenomena can be modeled with fractional derivatives. Chaotic behavior has also been reported in some fractional models. There exist theoretical results related to existence and uniqueness of solutions to initial and boundary value problems with fractional differential equations [1-5].
In this paper, it is shown that analytical solution of fractional differential equation are solved by MathHand.com. MathHand.com is the online math calculator, its former is SymbMath [6-7]. It is reviewed as Math Handbook Calculator [8]. The examples included fractional differential equation, fractional partial differential equation, fractional integral equation, equation of mixed Fractional differential and integral orders, system of fractional differential equation, complex order differential equation, and a variable order differential equation. By default, the Caputo definition of fractional calculus [9] is used here.
Table 1. Comparison of different orders
| Order | name | equation | y( ) | ds( ) | d( ) | ints( ) |
|---|---|---|---|---|---|---|
| 2 | second order | `(d^2 y)/dx^2 - 2y = exp(x)` | y(2,x) | ds(y,x,2) | d(y(x),x,2) | |
| 1.5 | 1.5 order | `d^1.5/dx^1.5 y - 2y = exp(x)` | y(1.5,x) | ds(y,x,1.5) | d(y(x),x,1.5) | |
| 1 | first order | `dy/dx - 2y = exp(x)` | y(1,x) | ds(y,x) | d(y(x),x) | |
| 0.5 | semi differential order | `d^0.5/dx^0.5 y - 2y = exp(x)` | y(0.5,x) | ds(y,x,0.5) | d(y(x),x,0.5) | |
| -0.5 | semi integral order | `d^-0.5/dx^-0.5 y - 2y = exp(x)` | y(-0.5,x) | ds(y,x,-0.5) | d(y(x),x,-0.5) | ints(y,x,0.5) |
| -1 | integral order | `int y\ dx-2y = exp(x)` | y(-1,x) | ds(y,x,-1) | d(y(x),x,-1) | ints(y,x) |
| -2 | double integral order | `int int y\ (dx)^2 - 2y = exp(x)` | y(-2,x) | ds(y,x,-2) | d(y(x),x,-2) | ints(y,x,2) |
| i | complex order | `(d^i y)/dx^i - 2y = exp(x)` | y(i,x) | ds(y,x,i) | d(y(x),x,i) | |
| cos(x) | variable order | `(d^cos(x) y)/dx^cos(x) - 2y = exp(x)` | y(cos(x),x) | ds(y,x,cos(x)) | d(y(x),x,cos(x)) |
Input your equation into mathHand.com, click the "dsolve" button for solution, then click the "test" button to test its solution.
e.g.
input y(1,x) - 2y = exp(x) as first order differential equation for
`y^((1))(x) - 2y = exp(x)`
Or input the dsolve( ) function, click the "=" button for solution, then click the "test" button to test its solution.
e.g.
input dsolve( ds(y) - 2y = exp(x) ) for
dsolve `dy/dx - 2y = exp(x)`
Its solution is in Table 2.
Table 2. Comparison of differential equations with different orders
| Order | name | equation | general solution | parcular solution |
|---|---|---|---|---|
| 2 | second order differential equation | `(d^2 y)/dx^2 - 2y = exp(x)` | `C_1*exp(sqrt(2)*x)` | -exp(x) |
| 1.5 | 1.5 order differential equation | `d^1.5/dx^1.5 y - 2y = exp(x)` | `C_1*exp(2^(2/3)*x)` | -exp(x) |
| 1 | differential equation | `d/dx y -2y = exp(x)` | `C_1*exp(2*x)` | -exp(x) |
| 0.5 | semi differential equation | `d^0.5/dx^0.5 y - 2y = exp(x)` | `C_1*exp(4*x)` | -exp(x) |
| 0 | 0-order differential equation | `d^0/dx^0 y - 2y = exp(x)` | 0 | -exp(x) |
| -0.5 | semi integral equation | `d^-0.5/dx^-0.5 y - 2y = exp(x)` | `C_1*exp(1/4*x)` | -exp(x) |
| -1 | integral equation | `int y\ dx-2y = exp(x)` | `C_1*exp(1/2*x)` | -exp(x) |
| -2 | double integral equation | `int int y\ (dx)^2 - 2y = exp(x)` | `C_1*exp(1/sqrt(2)*x)` | -exp(x) |
| i | complex order differential equation | `d^i/dx^i y - 2y = exp(x)` | `C_1*exp(1/2^i*x)` | -exp(x) |
| cos(x) | variable order equation | `(d^cos(x) y)/dx^cos(x) - 2y = exp(x)` | `C_1*E_cos(x)(2x^cos(x))` | -exp(x) |
The above table shows that parcular solutions of their differential equations are the same regardless with its order.
Poisson equation
Δ y = ρ
Where ρ is a known function, Δ is the Laplace operator.
e.g. Poisson integral of the solution to the Dirichlet problem of a circle.
`r^2*(d^2 y)/(dr^2)+r*dy/(dr) = 1`
Study the wave equation of the form
`(d^2y)/dt^2-a^2 Δ y = f(t,x,v,z)`
Where f( x , v , z , t ) is a known function .
Solution to the Cauchy Problem of Homogeneous Equation
e.g. a wave equation in one dimemtion:
`(d^2y)/dt^2 - a^2 * (d^2y)/dx^2 =0 `
e.g. a wave equation in two dimemtions. The continuous solution of the two-dimensional Laplace equation is called the harmonic function
`(d^2y)/(dt^2) - a^2 * ((d^2y)/dx^2 + (d^2y)/(dz^2)) =0 `
e.g. a wave equation in three dimemtions:
`(d^2y)/(dt^2) - a^2 * ((d^2y)/dx^2 + (d^2y)/(dv^2) + (d^2y)/(dz^2))=0 `
Its solution is in Table 2. Integral equation can be converted to differential equation by differentiating both sides, and then it is solved.
Solve (fractional) differential equation for y by dsolve( ), e.g.
dsolve( `d^0.5/dx^0.5 y = 2y` )
Its solution is in Table 2. Property of a fractional differential equation is the same as a differential equation:
Solution of linear fractional differential equation = general solution + parcular solution = gsolution( ) + psolution( )
It is similar to linear differential equation, so method to solve fractional differential equation is similar to differential equation [3-5].
e.g. a diffusion equation in one dimemtion with fractional time order:
`(d^0.5y)/dt^0.5 - a^2* (d^2y)/dx^2 =0`
Input ds(y,t,0.5)=ds(y,x,2)-ds(y,x)-exp(x)-exp(t) as semi partial differential time t in the left hand side of the equation, e.g. when a=1, f(t,x)=exp(t)+exp(x), the equation becomes
`(d^0.5y)/dt^0.5 = (d^2y)/dx^2-exp(x)-exp(t)`
e.g. a diffusion equation in two dimemtions with fractional time order:
`(d^0.5y)/dt^0.5 = (d^2y)/dx^2+(d^2y)/(dz^2)-exp(x)`
Its solution is in Table 2. By default, the Caputo definition of fractional calculus is used by dsolve( ). If you want to use the Riemann defintion, use the Laplace transform solver lasolve( ). Difference between Caputo definition and the Riemann-Liouville (R-L) definition are in section 6 of fractional calculus [8]. e.g.
dsolve(y(-0.5,x)=1) give zero.
lasolve(y(-0.5,x)=1) give nonzero.
Integral equation can be converted to differential equation by differentiating both sides. In the same way, fractional integral equation aslo can be converted to fractional differential equation, then it is solved.
A system of differential equations is extend to system of fractional differential equation by fractional order. e.g.
`(d^0.5x)/dt^0.5 = 2x, (d^0.5y)/dt^0.5 = x+y`
The order change is similar to a change of the n-order fractional derivative `d^n/dx^n x` in below animation Fig.1.
Fig. 1. Animation of the order changes between 1 and -1.
We hope that the examples and ideas outlined in this paper will be useful for elementary and advanced courses on differential equations, as well as for solving differential equations which occur in research and design problems in practice.
The integration of AI into math education has opened new horizons for personalized, interactive, and effective learning. The AI tool empower students to conquer math challenges with confidence. As technology evolves, the future of math education looks bright, promising a world where every student can excel in mathematics with the help of AI.