Figure 1. Isoclines for 2 - Texas A&M University
Example 1. Draw the isoclines with their direction markers and sketch several solution curves, including the the curve satisfying the given initial condition
y = 2x2 - y, y(0) = 0.
SOLUTIONS The isoclines for the given equations are the parabolas 2x2 - y = C, here C is an arbitrary constant.
4
3
y2
1
K1.5
K1.0
K0.5
0
K1
0.5
1.0
x
1.5
Figure 1. Isoclines for y = 2x2 - y
4 3 y2 1
K2
K1
0
K1
K2
1
2
x
Figure 2. Direction field for y = 2x2 - y
4
3 y(x) 2
1
K2
K1
0
K1
K2
1
2
x
Figure 3. Solutions to y = 2x2 - y
Section 1.4 The Approximation Method of Euler
Euler's method (or the tangent line method) is a procedure for constructing approximate solutions to an initial value problem for a first-order differential equation
y = f (x, y), y(x0) = y0.
(1)
The main idea of this method is to construct a polygonal (broken line) approximation to the solutions of the problem (1).
Assume that the the problem (1) has a unique solution (x) in some interval centered at x0. Let h be a fixed positive number (called the step size) and consider the equally spaced points
xn := x0 + nh, n = 0, 1, 2, . . .
The construction of values yn that approximate the solution values (xn) proceeds as follows. At the point (x0, y0), the slope of the solution to (1) is given by dy/dx = f (x0, y0). Hence, the tangent line to the curve y = x at the initial point (x0, y0) is
y - y0 = f (x0, y0)(x - x0), or
y = y0 + f (x0, y0)(x - x0).
Using the tangent line to approximate x, we find that for the point x1 = x0 + h
(x1) y1 := y0 + f (x0, y0)(x - x0). Next, starting at the point (x1, y1), we construct the line with slope equal to f (x1, y1). If we follow the line in stepping from x1 to x2 = x1 + h, we arrive at the approximation
(x2) y2 := y1 + f (x1, y1)(x - x1). Repeating the process, we get
(x3) y3 := y2 + f (x2, y2)(x - x2), (x4) y4 := y3 + f (x3, y3)(x - x3), etc. This simple procedure is Euler's method and can be summarized by the recursive formulas
xn+1 := x0 + (n + 1)h,
(2)
yn+1 := yn + f (xn, yn)(x - xn), n = 0, 1, 2, . . .
(3)
Figure 1. Polygonal-line approximation given by Euler's method
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