Application of Differential Equation

Application of Differential Equation

Edited By Komal Miglani | Updated on Jul 02, 2025 06:37 PM IST

Differential equations have various applications across various fields due to their ability to model systems and processes. Here, we will discuss the growth and decay problems because this is very helpful in analyzing the growth of bacteria and in the decay of radioactive materials. Differential equations are used in various disciplines, such as biology, economics, physics, chemistry, and engineering.

This Story also Contains
  1. What is a Differential Equation?
  2. Applications of differential equation
  3. Solved Examples Based On Applications of Differential Equations
  4. Summary
Application of Differential Equation
Application of Differential Equation

In this article, we will cover the applications of differential equations. This concept falls under the broader category of differential equations. It is not only essential for board exams but also for competitive exams like the Joint Entrance Examination (JEE Main), and other entrance exams such as SRMJEE, BITSAT, WBJEE, BCECE, and more. Over the last ten years of the JEE Main exam (from 2013 to 2023), a total of six questions have been asked on this concept, including one in 2013, one in 2014, one in 2020, one in 2021, and two in 2022.

$$
\begin{aligned}
& x^2+x+1=0 \\
& \sin x+\cos x=0 \\
& x+y=9 \\
& x \frac{d y}{d x}+2 y=0
\end{aligned}
$$
... (1)

What is a Differential Equation?

A differential equation is an equation involving one or more terms and the derivatives of one dependent variable with respect to the other independent variable.

Differential equation: dy/dx = f(x)

Where “x” is an independent variable and “y” is a dependent variable

Example of differential equation: $x \frac{d y}{d x}+2 y=0$
The above-written equation involves variables as well as the derivative of the dependent variable $\mathrm{y}$ with respect to the independent variable $\mathrm{x}$. Therefore, it is a differential equation.

Applications of differential equation

Differential equations are used in a variety of disciplines, such as biology, economics, physics, chemistry, and engineering.

Growth and Decay Problem:

Let the amount of substance (or population) that is either growing or decaying is denoted by N(t). if we assume the time rate of change of this amount of substance, dN / dt, is proportional to the amount of substance present, then

$\frac{d N}{d t}=k N \quad$ or $\quad \frac{d N}{d t}-k N=0$

Where k is the constant of proportionality, we are assuming that N(t) is a differentiable, hence continuous, function of time.

Newton's Law of Cooling:

According to Newton, the cooling of a hot body is proportional to the temperature difference between its temperature T and the temperature T0 of its surroundings. This statement can be written as:

dT/dt ∝ (T – T0)…………(1)

This is the form of a linear differential equation.

Introducing a proportionality constant k, the above equation can be written as:

dT/dt = k(T – T0) …………(2)

Here, T is the temperature of the body and t is the time,

T0 is the temperature of the surroundings,

dT/dt is the rate of cooling of the body

Some other applications are:

1) They are also used to describe the change in return on investment over time.

2) They are used in the field of medical science for modelling cancer growth or the spread of disease in the body.

3) The movement of electricity can also be described with the help of it.

4) They help economists in finding optimum investment strategies.

5) The motion of waves or a pendulum can also be described using these equations.

Recommended Video Based on Applications of Differential Equations


Solved Examples Based On Applications of Differential Equations

Example 1: In which of the following, a differential equation will not be formed?

(1) The temperature of the body increases at a rate proportional to its instantaneous temperature.

(2) The population of a country increases at a constant rate.

(3) A point moves in a plane such that its distance from its origin is constant.

(4) None of these

Solution:

As we have learned

Application of Homogeneous Differential Equations-

For option (1) $\rightarrow \frac{d T}{d t}=K T$
For option (2) $\rightarrow \frac{d p}{d t}=K$
For option (3) $\rightarrow x^2+y^2=K$

Here, (1) and (2) are differential equations but (3) is not.

Hence, the answer is the option (3).

Example 2: The rate at which a substance cools in moving air is proportional to the difference between the temperature of substance0 and that of the surroundings. If the temperature of the surrounding is 290 K and the substance cools from 370 K to 330 K in 10 min, then after what time from the initial, temperature will be 295 K?

Solution:

As we have learnt,

Temperature Problems -

$\frac{d T}{d t}=-k\left(T-T_m\right)$

- wherein

K is the proportionality constant

T = Temperature of body

$T_m=$ Temperature of Surrounding
Let at time ' $t$ ', temperature is $T$.
So,
$
-\frac{\mathrm{d} T}{\mathrm{~d} t}=k(T-290) \Rightarrow \frac{d T}{T-290}=-k d t
$

On integrating, we get

$\begin{aligned} & \ln (T-290)=k t+c \\ & \text { At } t=0, T=370 \Rightarrow c=\ln 80 \\ & \Rightarrow \ln (T-290)=-k t+\ln (80) \\ & \text { Also, at } t=10, T=330 \Rightarrow \ln 40=-10 k+\ln 80 \\ & \Rightarrow 10 k=\ln 2 \Rightarrow K=\frac{1}{10} \ln 2 \\ & \Rightarrow \ln (T-290)=\left(-\frac{1}{10} \ln 2\right) t+\ln 80 \\ & \text { Now when } T=295 K \text { then } \ln 5=-\frac{t \ln 2}{10}+\ln 80 \\ & \Rightarrow \frac{t \ln 2}{10}=\ln 16 \Rightarrow t=40\end{aligned}$

Hence, the required answer is 40 mins.

Example 3: The rate of growth of bacteria in a culture is proportional to the number of bacteria present and the bacteria count is 1000 at the initial time $t=0$. The number of bacteria is increased by $20 \%$ in 2 hours. If the population of bacteria is 2000 after $\frac{k}{l o g}\left(\frac{6}{5}\right)$ hours, then $\left(\frac{k}{\log _e 2}\right)^2$ is equal to:
Solution:

Initial bacteria count = 1000

20% bacteria increased in 2 hours = 1200

$
\begin{aligned}
& \frac{\mathrm{dB}}{\mathrm{dt}}=\lambda \mathrm{B} \\
& \Rightarrow \int_{1000}^{1200} \frac{\mathrm{dB}}{\mathrm{B}}=\lambda \int_0^2 \mathrm{dt} \\
& \Rightarrow \lambda=\frac{1}{2} \ln \left(\frac{6}{5}\right) \\
& \int_{1000}^{2000} \frac{\mathrm{dB}}{\mathrm{B}}=\frac{1}{2} \ln \left(\frac{6}{5}\right) \int_0^{\mathrm{T}} \mathrm{dt} \\
& \Rightarrow \mathrm{T}=\frac{2 \ln 2}{\ln \left(\frac{6}{5}\right)} \\
& \Rightarrow \mathrm{k}=2 \ln 2 \\
& \left(\frac{\mathrm{k}}{\log _{\mathrm{e}} 2}\right)^2=\left(\frac{2 \ln 2}{\log _{\mathrm{e}} 2}\right)^2=4
\end{aligned}
$
$\ln 2 a$ and $\log _e 2$ is same thing

Hence, the answer is 4.

$\text { Example 4: At present, a firm is manufacturing } 2000 \text { items. It is estimated that the rate of change of production } \mathrm{P} \text { w.r.t. additional number of workers } x \text { is given by } \frac{d P}{d x}=100-12 \sqrt{x} \text {. If the firm employs } 25 \text { more workers, then the new level of production of items is: } $

Solution:

$\begin{aligned} & \frac{d P}{d x}=100-12 \sqrt{x} \\ & \Rightarrow \int d P=\int 100 d x-\int 12 \sqrt{x} d x \\ & \Rightarrow P=100 x-\frac{12 x^{3 / 2}}{3 / 2}+C \\ & \Rightarrow P=100 x-8 x^{3 / 2}+C \\ & \text { For } \mathrm{x}=0, \mathrm{P}=2000 \\ & 2000=C \ldots(1)\end{aligned}$
$\begin{aligned} & \text { and for } \mathrm{x}=25 \\ & P^{\prime}=100(25)-8(25)^{3 / 2}+2000=3500\end{aligned}$

Hence, the required answer is 3500.

Example 5: The population of a certain country is known to increase at a rate proportional to the number of people presently living in the country. If after two years, the population has doubled and after four years population is 20,000, then initially population was

Solution:

Let at time $t$, and $N$ be the number of population at that time, So
$
\begin{aligned}
\frac{\mathrm{d} N}{\mathrm{~d} x} & =k N \\
\Rightarrow \frac{\mathrm{d} N}{N} & =k d t
\end{aligned}
$

So, on integrating we get,
$
\ln N=k t+c
$

Let the initial population is $N_0$ at $t=0$
$
\Rightarrow c=\ln N_0 \Rightarrow \ln N-\ln N_0=k t \Rightarrow \frac{N}{N_0}=e^{k t} \Rightarrow N=N_0 e^{k t}
$

It is given, after two years, the population is doubled, So
$
\begin{aligned}
& 2 N_0=N_0 e^{k \cdot 2} \Rightarrow e^{2 k}=2 \Rightarrow 2 k=\ln 2 \Rightarrow k=\frac{1}{2} \ln 2 \\
& \therefore N=N_0 \cdot e^{\frac{1 \ln 2}{2}}
\end{aligned}
$

Given, after four years population is 20,000 , So
$
20000=N_0 \cdot e^{2 \ln 2} \Rightarrow 4 N_0=20000 \Rightarrow N_0=5000
$

Hence, the required answer is 5000.

Summary

We concluded that the differential equation is very important in real life. It helps to simplify complex algorithms and provides a detailed view of how the process occurs at every step. Differential equations play an important role in scientific research and in economics.

Frequently Asked Questions (FAQs)

1. What is a differential equation?

 It describes the rate of change in quantity and is used in science, engineering, business, etc. It can model many phenomena in different fields.

2. What do you understand by applications?

Applications are the tools or technology used to solve real-life problems without difficulties.

3. Who is the father of differentiation?

 Isaac Newton and Gottfried Wilhelm Leibniz are credited as the father of differentiation.

4. In Newton's law of cooling temperature is directly or inversely proportional.

In Newton's law of cooling, temperature is directly proportional.

5. Write some application of differential equations.

Applications of differential equations include: modelling population growth, predicting the spread of diseases, analyzing chemical reactions, etc.

6. How does a population growth model use differential equations?
Population growth models often use differential equations to describe how a population changes over time. A simple model might use the equation dP/dt = rP, where P is the population size, t is time, and r is the growth rate. This equation states that the rate of change of the population (dP/dt) is proportional to the current population size (P). By solving this differential equation, we can predict population sizes at different times and understand factors affecting growth.
7. How are differential equations applied in electrical circuit analysis?
In electrical circuit analysis, differential equations are used to describe the relationship between voltage, current, and other circuit elements over time. For example, in an RC circuit (resistor-capacitor), the voltage across the capacitor can be modeled using the differential equation dV/dt + V/(RC) = 0, where V is voltage, t is time, R is resistance, and C is capacitance. By solving this equation, engineers can predict how the circuit will behave and design appropriate components.
8. How do differential equations help in modeling the spread of diseases?
Differential equations are fundamental in epidemiology for modeling the spread of diseases. The SIR model (Susceptible, Infected, Recovered) uses a system of differential equations to describe how a population moves between these three states over time. For example, dS/dt = -βSI represents the rate at which susceptible individuals become infected. By analyzing these equations, epidemiologists can predict the course of an epidemic, estimate the impact of interventions, and inform public health policies.
9. How are differential equations used in finance and economics?
In finance and economics, differential equations model various phenomena such as interest rate changes, price fluctuations, and economic growth. For instance, the Black-Scholes equation, a PDE used in option pricing, helps determine the fair price of financial derivatives. In macroeconomics, differential equations can model how variables like GDP, inflation, and unemployment change over time, helping policymakers understand economic dynamics and make informed decisions.
10. What is a differential equation and why is it important in real-world applications?
A differential equation is an equation that relates a function with its derivatives. It's important in real-world applications because many natural phenomena and processes can be described using rates of change, which are represented by derivatives. Differential equations allow us to model and analyze complex systems in physics, engineering, economics, and biology, helping us predict future behavior and make informed decisions.
11. What's the difference between an ordinary differential equation (ODE) and a partial differential equation (PDE)?
An ordinary differential equation (ODE) involves derivatives with respect to only one independent variable, usually time. For example, dy/dt = 2y is an ODE. A partial differential equation (PDE) involves partial derivatives with respect to two or more independent variables, such as time and space. For instance, the heat equation ∂u/∂t = α∂²u/∂x² is a PDE. ODEs are often used to model systems that change over time, while PDEs are used for systems that vary in multiple dimensions.
12. What is a homogeneous differential equation and how does it differ from a non-homogeneous one?
A homogeneous differential equation is one where, if all terms containing the dependent variable and its derivatives are on one side of the equation, the other side equals zero. For example, dy/dx + 2y = 0 is homogeneous. A non-homogeneous equation has a non-zero term on the right side, like dy/dx + 2y = sin(x). Homogeneous equations often have simpler solution methods, while non-homogeneous equations require additional techniques like the method of undetermined coefficients or variation of parameters.
13. What is the significance of the order of a differential equation?
The order of a differential equation is the highest derivative that appears in the equation. It's significant because it determines the number of initial conditions needed to find a unique solution and influences the complexity of the solution method. For example, a first-order equation like dy/dx = f(x,y) needs one initial condition, while a second-order equation like d²y/dx² + y = 0 requires two. Higher-order equations generally represent more complex systems and may require more sophisticated solving techniques.
14. What is the role of initial conditions in solving differential equations?
Initial conditions are crucial in solving differential equations because they provide the starting point for the solution. While a differential equation describes how a quantity changes, the initial condition specifies the value of that quantity at a particular time (usually t=0). This allows us to find a unique solution among the many possible solutions to the differential equation. Without initial conditions, we would have a family of solutions rather than a specific one.
15. What is a system of differential equations and why is it useful?
A system of differential equations consists of two or more equations involving derivatives of multiple dependent variables. It's useful for modeling complex systems where multiple interrelated quantities change over time. For example, in predator-prey models, one equation might describe the change in prey population, while another describes the predator population. These systems allow us to capture the interdependencies between variables and analyze how they evolve together, providing a more comprehensive understanding of complex phenomena.
16. What is the importance of sensitivity analysis in differential equation models?
Sensitivity analysis in differential equation models examines how changes in input parameters affect the model's output. It's important because it helps identify which parameters have the most significant impact on the system's behavior. This analysis involves solving the original differential equation along with additional equations that track how the solution changes with respect to each parameter. Sensitivity analysis is crucial in fields like epidemiology, where it can reveal which interventions might be most effective in controlling disease spread, or in engineering, where it helps optimize designs by focusing on the most influential parameters.
17. How do differential equations apply to heat transfer problems?
Differential equations are crucial in modeling heat transfer. The heat equation, ∂u/∂t = α∂²u/∂x², is a partial differential equation that describes how temperature changes over time and space in a material. Here, u is temperature, t is time, x is position, and α is the thermal diffusivity. By solving this equation with appropriate boundary conditions, engineers can predict temperature distributions in materials, design efficient heating and cooling systems, and analyze thermal stress in structures.
18. How do differential equations help in understanding oscillations and vibrations?
Differential equations are fundamental in studying oscillations and vibrations. The simple harmonic oscillator equation, d²x/dt² + ω²x = 0, where x is displacement and ω is angular frequency, describes basic oscillatory motion. More complex equations can model damped and forced oscillations. By analyzing these equations, engineers and physicists can predict the behavior of mechanical systems, design suspension systems in vehicles, understand seismic waves, and even model quantum mechanical systems.
19. What is the difference between linear and nonlinear differential equations?
Linear differential equations involve the dependent variable and its derivatives only to the first power and can be added linearly. For example, dy/dx + 2y = x is linear. Nonlinear equations involve higher powers or functions of the dependent variable or its derivatives, like dy/dx = y². Linear equations generally have well-defined solution methods and their solutions can be superposed. Nonlinear equations are often more challenging to solve and can exhibit complex behaviors like chaos, making them crucial for modeling many real-world phenomena that linear equations can't adequately describe.
20. How are differential equations applied in fluid dynamics?
In fluid dynamics, differential equations describe the motion of fluids and their interactions with surfaces. The Navier-Stokes equations, a set of PDEs, model fluid flow by relating velocity, pressure, density, and viscosity. These equations are used to design aircraft, predict weather patterns, and optimize pipeline systems. Simpler differential equations like Bernoulli's equation can model steady-state fluid flow. By solving these equations, engineers can analyze complex fluid behaviors, from blood flow in arteries to air flow around wind turbines.
21. What is the importance of stability analysis in differential equations?
Stability analysis in differential equations determines whether small perturbations to a solution will grow, decay, or remain bounded over time. This is crucial in many applications. For example, in control systems, stability analysis ensures that a system will return to equilibrium after small disturbances. In ecology, it helps predict whether small changes in population sizes will lead to drastic shifts or if the ecosystem will maintain balance. Techniques like linearization and Lyapunov stability theory are used to analyze stability, providing insights into the long-term behavior of systems described by differential equations.
22. How do differential equations model chemical reactions?
Differential equations are essential in chemical kinetics to model reaction rates and concentrations over time. For a simple reaction A → B, the rate of change of A's concentration can be modeled as d[A]/dt = -k[A], where [A] is the concentration of A and k is the rate constant. More complex reactions involve systems of differential equations. These models help chemists predict reaction outcomes, optimize industrial processes, and understand complex biochemical systems. By solving these equations, researchers can determine reaction rates, equilibrium concentrations, and the effects of catalysts or inhibitors.
23. What is the role of differential equations in quantum mechanics?
In quantum mechanics, the Schrödinger equation, a linear partial differential equation, is fundamental. It describes how the quantum state of a physical system changes over time. For a particle in one dimension, it takes the form: iℏ∂ψ/∂t = -ℏ²/2m ∂²ψ/∂x² + V(x)ψ, where ψ is the wave function, ℏ is the reduced Planck constant, m is mass, and V(x) is potential energy. By solving this equation for different potentials, physicists can predict the behavior of quantum systems, from simple particles to complex atoms and molecules, forming the basis for understanding quantum phenomena and developing technologies like lasers and semiconductors.
24. How are differential equations used in optimization problems?
Differential equations play a crucial role in optimization problems through the calculus of variations and optimal control theory. These fields use differential equations to find functions that optimize certain criteria. For example, in determining the shape of a curve that minimizes travel time between two points (the brachistochrone problem), we use the Euler-Lagrange equation, a differential equation derived from variational principles. In control theory, the Hamilton-Jacobi-Bellman equation, a PDE, is used to find optimal control strategies. These applications are vital in fields ranging from economics to spacecraft trajectory planning.
25. What is the significance of boundary value problems in differential equations?
Boundary value problems involve differential equations with conditions specified at the boundaries of the domain, rather than at a single initial point. They are significant because many physical phenomena naturally have constraints at boundaries. For example, in heat conduction through a rod, we might specify temperatures at both ends. The solution must satisfy both the differential equation and these boundary conditions. Boundary value problems are crucial in areas like electromagnetism, fluid dynamics, and structural engineering, where behavior at boundaries significantly affects the entire system.
26. How do differential equations help in understanding population dynamics in ecology?
Differential equations are fundamental in modeling population dynamics in ecology. Beyond simple exponential growth models, more complex equations like the logistic growth model, dN/dt = rN(1-N/K), account for carrying capacity (K) and provide insights into how populations approach equilibrium. Predator-prey models, like the Lotka-Volterra equations, use systems of differential equations to describe interactions between species. These models help ecologists understand and predict population trends, assess the impact of environmental changes, and develop conservation strategies.
27. What is the importance of phase plane analysis in studying differential equations?
Phase plane analysis is a graphical method for studying the behavior of systems of two first-order differential equations or one second-order equation. It involves plotting solutions in a two-dimensional plane where each axis represents one of the variables. This technique is important because it provides a visual representation of the system's dynamics, allowing us to identify equilibrium points, analyze stability, and understand long-term behavior without solving the equations explicitly. Phase plane analysis is particularly useful in fields like control theory, ecology, and neuroscience for understanding complex system behaviors.
28. How are differential equations applied in signal processing?
In signal processing, differential equations model how signals change over time or space. The heat equation, for instance, can be used to model the diffusion of a signal. Fourier analysis, which decomposes signals into sums of sinusoidal components, is closely related to solving certain differential equations. In digital signal processing, difference equations (discrete analogs of differential equations) are used to design filters and analyze discrete-time signals. Understanding and applying differential equations in this context is crucial for developing communication systems, audio processing algorithms, and image enhancement techniques.
29. What is the role of differential equations in modeling climate change?
Differential equations are essential in climate modeling. They describe how various factors like temperature, atmospheric composition, and ocean currents change over time and interact with each other. For example, energy balance models use differential equations to relate the Earth's temperature to factors like solar radiation and greenhouse gas concentrations. More complex climate models involve systems of PDEs that account for atmospheric and oceanic circulation patterns. By solving these equations numerically, climate scientists can make predictions about future climate trends, assess the impact of human activities, and evaluate potential mitigation strategies.
30. How do differential equations help in understanding and designing control systems?
In control systems engineering, differential equations model the dynamics of systems and their responses to inputs. For example, a simple position control system might be described by a second-order differential equation relating position to input force. The transfer function, a key concept in control theory, is derived from these differential equations. Engineers use techniques like the Laplace transform to analyze these equations and design controllers that ensure stability and desired performance. This application of differential equations is crucial in developing everything from thermostats to complex industrial processes and autonomous vehicles.
31. What is the significance of eigenvalues and eigenvectors in solving systems of differential equations?
Eigenvalues and eigenvectors are crucial in analyzing systems of linear differential equations. They help in understanding the long-term behavior of solutions without explicitly solving the equations. Eigenvalues determine the rates of growth or decay of different components of the solution, while eigenvectors indicate the directions of these components. This analysis is particularly important in stability analysis, where negative eigenvalues indicate stable solutions. In applications like vibration analysis or population dynamics, eigenvalues and eigenvectors provide insights into natural frequencies and modes of the system, helping engineers and scientists predict and control system behavior.
32. How are differential equations used in modeling traffic flow?
Differential equations are fundamental in traffic flow modeling. Continuum models use PDEs to describe how traffic density and velocity change over time and space. For example, the LWR (Lighthill-Whitham-Richards) model uses a conservation law equation to relate traffic flow to density. More complex models might include systems of PDEs accounting for multiple lanes or driver behavior. These models help traffic engineers optimize road designs, develop efficient traffic control strategies, and predict congestion patterns. By solving these equations, researchers can simulate traffic scenarios and evaluate the impact of various interventions, contributing to smarter urban planning and traffic management.
33. What is the role of differential equations in understanding and predicting weather patterns?
Differential equations are at the core of numerical weather prediction. The Navier-Stokes equations, along with thermodynamic equations and the continuity equation, form a system of PDEs that describe atmospheric dynamics. These equations model how air pressure, temperature, humidity, and wind velocities change over time and space. By solving these equations numerically using initial conditions from current weather observations, meteorologists can forecast future weather conditions. The complexity of these equations and the chaotic nature of weather systems explain why long-term predictions become less accurate and why small changes in initial conditions can lead to significantly different outcomes.
34. How do differential equations apply to the study of waves and acoustics?
In the study of waves and acoustics, differential equations describe how waves propagate through different media. The wave equation, ∂²u/∂t² = c²∇²u, where u is the wave amplitude, t is time, and c is wave speed, is a fundamental PDE in this field. It models various types of waves, including sound waves, electromagnetic waves, and water waves. In acoustics, more specific equations like the Helmholtz equation are used to analyze sound fields in enclosed spaces. By solving these equations, engineers and physicists can design concert halls with optimal acoustics, develop noise reduction technologies, and understand complex wave phenomena like interference and diffraction.
35. How are differential equations applied in the study of neural networks and brain function?
Differential equations play a vital role in modeling neural networks and brain function. The Hodgkin-Huxley model, a system of nonlinear differential equations, describes how action potentials are initiated and propagated in neurons. On a larger scale, neural field theories use integro-differential equations to model the activity of large populations of neurons. These models help neuroscientists understand how information is processed and transmitted in the brain, how neural oscillations arise, and how different brain regions interact. By analyzing these equations, researchers gain insights into cognitive processes, neurological disorders, and the development of artificial neural networks for machine learning applications.
36. What is the role of differential equations in modeling economic growth and business cycles?
Differential equations are crucial in modeling economic growth and business cycles. The Solow-Swan model, a fundamental growth model, uses a differential equation to describe how capital accumulation, labor force growth, and technological progress affect economic output over time. More complex models like the IS-LM model use systems of differential equations to represent the interactions between interest rates, investment, and national income. These models help economists understand long-

Articles

Back to top