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In Engineering Mathematics, vectors are used to represent physical quantities that have magnitude and direction, such as displacement, velocity. Often, these vectors change with time or other variables.
Vector differentiation is the process of finding the derivative of a vector function with respect to a scalar variable, usually time.
If A, B, and C are differential vector functions of scalar u and Φ is a differential scalar function of u, then:
The dot product gives us a scalar that measures how much one vector extends in the direction of another.
If and are two vectors, then:
Where,
The cross product gives a vector perpendicular to the plane of two vectors.
If and are two vectors, then:
Where,
The gradient of a scalar function gives the direction and the rate of its maximum increase.
For a scalar field f(x, y, z),
It converts a scalar function into a vector field, used in heat and potential flow problems.
Divergence measures how much a vector field spreads out from a point.
It is a scalar quantity used in fluid flow and Gauss's law.
Curl measures the rotation or swirling strength of a vector field.
Laplacian gives the rate at which rate at which function's value spreads out from a point.
For scalar f(x,y,z):
Question 1: Find the gradient of f(x, y, z) = x2y + yz3.
Solution:
Question 2: Find the Divergence of A =
Solution:
Divergence is defined as:
Identify components
Ax = xy, Ay = yz, Az = zx
Compute partial derivatives
=
Wait: Az = zx so ∂A/z∂z = x
= y + z + x = x + y + z
Question 3: Find the Curl of
Solution:
Curl is defined as:
Expand determinant:
Compute deriatives:
,
Subtract all componets 0
∇ × = 0
Question 4: Find the Laplacian of f(x,y,z) = x3 + y3+ z3.
Solution:
Laplacian is defined as:
Compute second derivatives:
Add them
∇2f = 6x + 6y + 6z
Question 1: Find the gradient of the scalar field: f(x, y, z) = exysinz
Question 2: Compute the Laplacian of the scalar field: f(x, y, z) = ln(x2 + y2 + z2).
Question 3: Compute the divergence of the vector field:
Question 4: Calculate the curl of the vector field: