- #1
kini.Amith
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Homework Statement
given grad f = xy i + 2xy j+0 k
find f(x,y,z)
how to generally solve questions of this type
Homework Equations
The Attempt at a Solution
the ans is 0. don't know how.
kini.Amith said:Homework Statement
given grad f = xy i + 2xy j+0 k
find f(x,y,z)
how to generally solve questions of this type
The Attempt at a Solution
the ans is 0. don't know how.
kini.Amith said:The exact qustion is,
Q. we can handle potential fields f more easily than vector fields v= grad f. Find f for given v or state that v has no potential
v = xy i + 2xy j+0 k
And the ans given is 'no potential'
kini.Amith said:ok, but can u help me with how to generally solve problems of this kind which do have solutions.
say div f= (yz + 1) i +(xz + 1 )j + (xy + 1) k
the ans is obvious, but how to solve it methodically?
Reconstructing a function from its gradient means finding the original function given only its gradient or derivative. This is essentially the process of finding the anti-derivative or indefinite integral of a function.
Reconstructing a function from its gradient is important because it allows us to determine the original function and understand its behavior. This is especially useful in fields such as physics and engineering, where knowing the original function can help in making predictions and solving problems.
To reconstruct a function from its gradient, we need to know the derivative of the original function, as well as the initial conditions or boundary values. These can be given as specific points or values at certain points.
To reconstruct a function from its gradient, we use integration techniques such as the power rule, product rule, quotient rule, or chain rule, depending on the form of the gradient. We also use the initial conditions or boundary values to solve for any arbitrary constants that may arise.
Reconstructing a function from its gradient has many practical applications in various fields such as physics, engineering, economics, and statistics. It is used to model and predict the behavior of systems and processes, such as in calculus-based physics problems or in predicting stock market trends.