What are some basic applications for Partial Derivatives?

In summary, partial derivatives are used in a wide range of real-world situations, from physics and engineering to finance and business. They are used to solve equations involving multiple variables and are fundamental in many fields of study. Their applications are endless and they play a crucial role in understanding complex systems and making informed decisions.
  • #1
Benjamin113
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Would someone care to explain some basic applications of Partial Derivation in real-world situations?

(Note: This is NOT a homework question; it's just a query.)
 
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  • #2
Gosh, they are everywhere. A derivative of a function of one variable expresses a change in that function relative to its argument. For example Newtons law for rectilinear motion is F = mass times the second derivative of distance with respect to time.

But the world involves functions that depend on several variables. For example the pressure of a gas depends on density and temperature. The speed of sound (squared), it turns out, in a nebula in space (which is very nearly at constant temperature due to radiative transport) is the partial derivative of the pressure with respect to density keeping temperature fixed.

Your happiness H depends on how much money, m, you make and the number of hours, h, you spend with your family. H = H(m, h). But how much money you make also depends on how much on how much time you spend with your family. The more time you spend with them the less money you will make. So m = m(h) and we must write

H = H(m(h), h)

Now, we want to know how many hours "h" to work to maximize happiness so we take the _total_ derivative of H with respect to h and set it equal to zero:

dH/dh = (partial H/partial m)*(partial m/partial h) + (partial H/partial h) = 0.
 
  • #3
Okay, cool. :D

Thanks for the response.
(Also, I like your analogy)
 
  • #4
Equations involving partial derivatives are known as partial differential equations (PDEs) and most equations of physics are PDEs:

(1) Maxwell's equations of electromagnetism
(2) Einstein's general relativity equation for the curvature of space-time given mass-energy-momentum.
(3) The equation for heat conduction (Fourier)
(4) The equation for the gravitational potential of a blob of mass (Newton-Laplace)
(5) The equations of motion of a fluid (gas or liquid) (Euler-Navier-Stokes)
(6) The Schrodinger equation of quantum mechanics
(7) The Dirac equation of quantum mechanics
(8) The Yang-Mills equation
(9) The Liouville equation of statistical mechanics

So you see PDEs are fundamental.

Cheers
 
  • #5
Please, someone mention use of partial derivatives or at least functions of several variables that anyone might use in their daily work in a regular job as engineer or technician or in some type of analytical work/decision making. One vague idea I have in mind is physical behavior of blended materials: Their composition and temperature endurance and flow properties and other physical values. Some independant variables might not truly be independant of other independant variables, possibly making any multivariable function confusing.
 
  • #6
Every trading day, traders on Wall-Street solve some version of the Black-Scholes equation for the value V(S, t) of an option as a function of the price S of the underlying stock and time "t".

The Black-Scholes equation and its different versions are partial differential equations.

See this wikipedia article: http://en.wikipedia.org/wiki/Black-Scholes"
 
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  • #7
Partial derivatives are used in solving sets of nonlinear equations and in min/max optimization analysis (i.e. set partial derivatives equal to zero to find critical points).
 
  • #8
partial differential equations abound in all branches of science and engineering and many areas of business. The number of applications is endless.
 
  • #9
I use them occasionally in the study of CFD (Computational Fluid Dynamics) simulations.

Thanks
Matt
 

1. What is the definition of Partial Derivatives?

Partial derivatives are mathematical tools used to measure the rate of change of a function with respect to a specific variable, while holding all other variables constant.

2. How are Partial Derivatives used in real-life applications?

Partial derivatives are used in many fields such as physics, engineering, economics, and finance to analyze and optimize complex systems. For example, in physics, they are used to calculate the velocity and acceleration of objects in motion. In finance, they are used to determine the sensitivity of stock prices to changes in interest rates.

3. What are some basic applications of Partial Derivatives?

Some common applications of Partial Derivatives include optimization problems, tangent planes, and linear approximations. They are also used to calculate gradients, which are essential in machine learning algorithms.

4. What is the difference between Partial Derivatives and Total Derivatives?

The main difference between Partial Derivatives and Total Derivatives is that Partial Derivatives measure the rate of change of a function with respect to a specific variable, while Total Derivatives measure the rate of change of a function with respect to all variables.

5. Can Partial Derivatives be used to find the maximum or minimum value of a function?

Yes, Partial Derivatives can be used to find the maximum or minimum value of a function. This is done by setting all partial derivatives equal to zero and solving for the variables. This method is known as the method of Lagrange multipliers.

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