When working with first-order differential equations, you can gain insight into solutions without fully solving them. By focusing on how the solutions change, you can use a slope field to visualize the path of any potential solution.
A slope field visually represents the slopes that a solution curve must follow at each point in the plane, shown as short arrows pointing the way a solution would travelโlike a leaf carried by a stream.
The pattern created by a slope field provides a visual representation of the family of solutions to the differential equation. A slope field doesnโt show just one solutionโit shows them all. From any starting point, a unique curve threads through, always guided by the tiny arrows.
Here \(f(t,y)\) is the โslope generatorโ: given any point \((t,y)\text{,}\) it outputs the slope the solution must have there. For instance, if \(t=3\) and \(y=5\text{,}\)
Sketching by hand is great for intuition, but tedious when you need more points. Computer-generated slope fields fill in the gaps, revealing a dense web of arrows that paints the full picture. In Figureย 83, the solution curve through \((0,\frac12)\) flows smoothly along the arrows, like an object carried by a current.
A slope field turns an equation into a navigational chart. Each arrow is an instruction every solution must obey. The entire field represents the whole family of solutions, letting you spot patterns in how solutions behave, without ever solving for \(y\) explicitly. Next, weโll look at autonomous equations, whose slope fields reveal even more structure.