Unit 2: Linear differential equation-I - Subjective Questions
MTH174 — Engineering Mathematics • Practice Questions with Detailed Answers
20 questions
Define a linear differential equation. Explain the difference between a linear and a nonlinear differential equation with suitable examples.
Definition: A differential equation is called linear if the dependent variable and all its derivatives occur only to the first degree and are not multiplied together or involved in nonlinear functions.
The general form of an th-order linear differential equation is
where the coefficients and the function depend only on .
Linear example:
Nonlinear examples:
- contains a squared derivative.
- contains a product of and its derivative.
- contains a nonlinear function of .
Thus, linearity requires that and its derivatives appear linearly, with coefficients independent of .
Explain the standard form of a first-order linear differential equation and derive its general solution using the integrating factor method.
A first-order linear differential equation is written as
Step 1: Determine the integrating factor.
The integrating factor is
Step 2: Multiply the equation by the integrating factor.
After multiplication,
The left-hand side is the derivative of . Therefore,
Step 3: Integrate both sides.
Hence, the general solution is
Solve the differential equation using the integrating factor method.
The equation is already in the standard form
where and .
Integrating factor:
Multiplying the equation by gives
The left-hand side is
Integrating,
Therefore,
This is the general solution of the given linear differential equation.
State and explain the principle of superposition for a homogeneous linear differential equation.
Consider the homogeneous linear differential equation
where is a linear differential operator.
If are solutions of the equation, then any linear combination
is also a solution, where are arbitrary constants.
Proof: Since is linear,
Because each is a solution, . Hence,
This property is called the principle of superposition. It is valid only for linear homogeneous equations and is used to construct the general solution from linearly independent solutions.
Define linear dependence and linear independence of solutions of a differential equation. Explain their importance in forming the general solution.
Let be solutions of a homogeneous linear differential equation.
They are linearly dependent on an interval if constants , not all zero, exist such that
for every point in the interval.
They are linearly independent if the relation
implies
For an th-order homogeneous linear differential equation, the general solution requires linearly independent solutions:
If the solutions are dependent, some solutions are redundant and cannot provide the required number of arbitrary constants. Therefore, linear independence is essential for obtaining the complete general solution.
Explain the Wronskian test for determining the linear independence of two solutions.
For two functions and , the Wronskian is defined by
Test:
- If at some point in an interval, then and are linearly independent on that interval.
- If throughout the interval, the functions may be linearly dependent; for solutions of a suitable linear differential equation, this indicates dependence under the usual existence conditions.
Example: Let
Then
Since , the functions are linearly independent. Thus, they can be used as two independent components of the general solution of a second-order equation.
Introduce the differential operator and express a linear differential equation in operator form.
The differential operator is defined by
Consequently,
and, in general,
A constant-coefficient linear differential equation such as
can be written as
where
For example,
becomes
This notation simplifies the solution of higher-order equations.
Describe the complementary function and particular integral of a nonhomogeneous linear differential equation using operator notation.
Consider the nonhomogeneous equation
Its complete solution is
Complementary function: The complementary function is the general solution of the associated homogeneous equation
It is obtained from the auxiliary or characteristic equation
Particular integral: The particular integral is any one solution of
In operator notation, it is represented by
where the inverse operator is evaluated by suitable rules.
Therefore,
The complementary function contains arbitrary constants, while the particular integral does not contain arbitrary constants.
Derive the form of the solution of a second-order homogeneous linear differential equation with constant coefficients.
Consider
where are constants and .
Assume a trial solution
Then
Substitution gives
Since ,
This is the auxiliary equation. Let its roots be and .
Case 1: Distinct real roots
If , then
Case 2: Repeated root
If , then
Case 3: Complex roots
If , then
Solve and state the nature of its auxiliary equation roots.
The differential equation is
Assume . The auxiliary equation is
Factoring,
Hence,
The roots are distinct and real. Therefore, the complementary function is
Thus, the general solution is
The two exponential terms are linearly independent because their exponents are different.
Solve when the auxiliary equation has equal roots.
The equation is
Its auxiliary equation is
which factors as
Thus, is a repeated root. For a repeated root of multiplicity two, the independent solutions are
Therefore, the general solution is
The factor is necessary to produce a second linearly independent solution.
Solve when the auxiliary equation has complex conjugate roots.
The auxiliary equation is
Using the quadratic formula,
Thus, the roots are of the form
where and .
For complex conjugate roots, the real-valued general solution is
Hence,
The exponential factor controls the decay, while the sine and cosine terms represent oscillation.
Explain how repeated roots of the auxiliary equation are handled for a higher-order homogeneous linear differential equation.
For a constant-coefficient equation , suppose the auxiliary equation has a root repeated times. The corresponding linearly independent solutions are
Therefore, the contribution to the complementary function is
For example, if is repeated three times, the corresponding part is
The powers of ensure linear independence and provide the required number of arbitrary constants. If several distinct roots have different multiplicities, the corresponding contributions are added together.
Solve the higher-order equation .
The operator equation is
The auxiliary equation is
Its roots are
The root is repeated twice. Therefore, its solutions are
The root gives the solution . Hence, the complementary function is
There are three arbitrary constants, as expected for a third-order differential equation.
Derive the general solution corresponding to a pair of complex roots of the auxiliary equation.
Suppose the auxiliary equation has complex conjugate roots
The corresponding complex solutions are
Using Euler's formula,
we obtain
The real and imaginary parts are both real solutions:
Therefore, the general real solution is
These two solutions are linearly independent when .
Solve using the differential operator method.
The auxiliary equation is
Grouping terms,
so
The roots are
The real root gives . The complex roots give
Therefore, the general solution is
The three terms are linearly independent and correspond to the third-order equation.
Describe the complete procedure for solving a higher-order homogeneous linear differential equation with constant coefficients.
Consider the equation
The solution procedure is:
-
Write the equation in operator form:
-
Form the auxiliary equation by replacing with :
-
Find all roots of the auxiliary equation, including their multiplicities.
-
Construct the complementary function:
- For distinct real roots , use .
- For a repeated root of multiplicity , use .
- For complex roots , use .
-
Combine all independent parts to obtain the general solution.
The number of arbitrary constants must equal the order of the differential equation.
Compare the solutions obtained from distinct real roots, repeated real roots, and complex roots of an auxiliary equation.
The form of the complementary function depends on the roots of the auxiliary equation.
| Type of roots | Corresponding solution |
|---|---|
| Distinct real roots | |
| Repeated real root of multiplicity two | |
| Complex roots |
For higher multiplicity, a repeated real root of multiplicity contributes
Distinct real roots produce exponential growth or decay. Repeated roots produce exponential terms multiplied by powers of . Complex roots produce oscillatory sine and cosine terms multiplied by an exponential factor.
Verify whether and are linearly independent.
The Wronskian is
Here,
and
Therefore,
Since
for every real , the Wronskian is nonzero. Hence, and are linearly independent.
Explain why the solution of an th-order homogeneous linear differential equation contains arbitrary constants.
An th-order differential equation requires integrations to obtain its general solution. Each integration introduces one arbitrary constant. Hence, the general solution normally contains arbitrary constants.
For a constant-coefficient homogeneous equation,
where has degree , the auxiliary equation has roots when counted with multiplicity. Each root contributes independent solutions whose total number is .
For example:
- Three distinct roots contribute three exponential solutions.
- A repeated root of multiplicity three contributes , , and .
- A complex conjugate pair contributes two real solutions involving sine and cosine.
Thus, the complementary function has the form
where are linearly independent solutions. The constants are determined by independent initial or boundary conditions.
Define a linear differential equation. Explain the difference between a linear and a nonlinear differential equation with suitable examples.
Definition: A differential equation is called linear if the dependent variable and all its derivatives occur only to the first degree and are not multiplied together or involved in nonlinear functions.
The general form of an th-order linear differential equation is
where the coefficients and the function depend only on .
Linear example:
Nonlinear examples:
- contains a squared derivative.
- contains a product of and its derivative.
- contains a nonlinear function of .
Thus, linearity requires that and its derivatives appear linearly, with coefficients independent of .
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