Problem 83
Question
Passage 2 Some equations which are not exact can be made exact on multiplication by some suitable function known as an integrating factor. The equation $$ x d y-y d x=0 $$ which is not exact becomes so on multiplication by \(1 / y^{2}\), for then we $$ \frac{x}{y^{2}} d y-\frac{1}{y} d x=0 $$ which is easily seen to be exact. We can solve it either by re-arranging the terms and making them exact differential or by the method of exact equations. We now give some rules for finding integrating factors of differential equation $$ M d x+N d y=0 $$ to make it exact. I. If \(M x+N y \neq 0\) and the equation is homogeneous, then \(\frac{1}{M x+N y}\) is an I.F. II. If the equation \(M d x+N d y=0\) is not exact but is of the form \(f_{1}(x y) y d x+f_{2}(x y) x d y=0\), then \(\frac{1}{M x-N y}\) is an I.F., provided \(M x-N y \neq 0\) III. When \(\frac{\frac{\partial M}{\partial y}-\frac{\partial N}{\partial x}}{N}\) is a function of \(x\) alone, say \(f(x)\), then I.F. \(=e^{\int f(x) d x}\) IV. When \(\frac{\frac{\partial N}{\partial x}-\frac{\partial M}{\partial y}}{M}\) is a function of \(y\) alone, say \(f(y)\), then I.F. \(=e^{\int f(y) d y}\) The integrating factor to make the differential equation \(\left(x y^{2}-e^{\frac{1}{x^{x}}}\right) d x-x^{2} y d y=0\) exact is (A) \(\frac{1}{x}\) (B) \(\frac{1}{x^{2}}\) (C) \(\frac{1}{x^{3}}\) (D) \(\frac{1}{x^{4}}\)
Step-by-Step Solution
VerifiedKey Concepts
Exact Differential Equations
To solve exact differential equations, you find such a function \( F(x, y) \) where the total differential \( dF = M dx + N dy \) represents the equation. If an equation is not exact, as in many practical situations, an integrating factor—usually a function of \( x \) and \( y \)—can transform the non-exact to exact by multiplication.
- The existence of an integrating factor revives the symmetry needed for exactness.
- Once exact, standard integration techniques allow for solving the equations elegantly.
Differential Calculus
In the context of differential equations, understanding derivatives is essential as they describe rates of change that define the equations themselves. For example, in considering \( M dx + N dy = 0 \), the derivatives \( \frac{\partial M}{\partial y} \) and \( \frac{\partial N}{\partial x} \) are calculated to assess exactness.
This realm of calculus also involves multi-variable functions, where partial derivatives calculate the change concerning each variable separately, as seen in the steps of checking exactness. Some powerful rules include:
- Product and Chain Rules: Essential for tackling equations providing relationships among variables.
- Gradient of Vector Fields: Indicates a ‘directional’ change, crucial for recognizing exactness conditions.
Homogeneous Equations
Consider the general form \( M(x, y) dx + N(x, y) dy = 0 \). This equation is homogeneous if both \( M \) and \( N \) are homogeneous functions of the same degree. That means replacing \( x \) and \( y \) with \( \lambda x \) and \( \lambda y \), respectively, in \( M(x, y) \) and \( N(x, y) \) scales both by the same power of \( \lambda \).
Homogeneous equations often suggest a simplification approach: the substitution \( v = \frac{y}{x} \), transforming the equation into one variable, makes it easier to solve. Integrating factors also leverage the properties of homogeneous equations, specifically when combining terms to enforce exactness, as shown in the rules outlined for making a differential equation exact with an integrating factor.
Understanding and identifying homogeneity aids in optimizing the path to finding solutions and simplifying otherwise complex problems.