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Vector Differentation

The document discusses concepts related to vector valued functions including velocity, acceleration, directional derivatives, gradient, divergence and curl. It provides definitions and formulas for these concepts and includes example problems to find velocity, acceleration, directional derivatives and normal vectors.

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bhargavm27555
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0% found this document useful (0 votes)
33 views11 pages

Vector Differentation

The document discusses concepts related to vector valued functions including velocity, acceleration, directional derivatives, gradient, divergence and curl. It provides definitions and formulas for these concepts and includes example problems to find velocity, acceleration, directional derivatives and normal vectors.

Uploaded by

bhargavm27555
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
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Derivative of Vector valued Functions

Let 𝑟 𝑡 be the position vector of a point P[𝑥 𝑡 , 𝑦 𝑡 , 𝑧 𝑡 ] in


space, where t is scalar quantity time.
Then 𝑟 𝑡 in the component form is
𝑟 𝑡 =𝑥 𝑡 i + 𝑦 𝑡 j + 𝑧 𝑡 k
𝑑𝑟
Velocity: Derivative of 𝑟 𝑡 with respect to time t , that is,
𝑑𝑡
𝑑𝑟
is called the velocity and given by 𝑣 = .
𝑑𝑡
Acceleration: Derivative of 𝑣 𝑡 with respect to time t , that
𝑑𝑣
is, is called the acceleration and given by
𝑑𝑡
𝑑𝑣 𝑑2𝑟
𝐴= or 𝐴 = .
𝑑𝑡 𝑑𝑡 2
1. Component of a vector( 𝑣 ) or
acceleration(𝐴) along a given vector along the
tangent or along the direction 𝐷 is the
resolved part of 𝑣 or 𝐴, given by 𝑣. 𝑛 or 𝐴. 𝑛
𝐷
where 𝑛 =
𝐷
2. Component of a vector( 𝑣 ) or acceleration(𝐴)
along the Normal or along perpendicular to the
direction 𝐷 is given by
= 𝑣 − 𝑣. 𝑛 𝑛 𝑜𝑟 𝐴 − (𝐴. 𝑛)𝑛

𝐷
where 𝑛 =
𝐷
Unit Tangent vector and unit normal vector
Let A be a fixed point on the curve and let the length of the
arc AP be equal s,
where P= (x, y, z) and we have 𝑟 = 𝑥 𝑡 𝑖 + 𝑦 𝑡 𝑗 + 𝑧(𝑡)𝑘
𝑑𝑟
The tangent vector is 𝑇 =
𝑑𝑡
𝑑𝑟 𝑑𝑟 𝑑𝑟
Unit tangent vector 𝑇 = = / =𝑇/ 𝑇
𝑑𝑠 𝑑𝑡 𝑑𝑡
𝑑𝑇
The normal vector is 𝑁 =
𝑑𝑠
𝑑𝑇 𝑑𝑟
The unit normal vector 𝑁 = / which is also called as
𝑑𝑡 𝑑𝑡
the principal normal vector.
QUESTION
1-A particle moves along a curve whose parametric equations
are 𝑥 = 𝑒 −𝑡 , 𝑦 = 2 cos 3𝑡, 𝑧 = 2𝑠𝑖𝑛3𝑡 where t is the time.
Find the velocity and the acceleration at any time t and also
their magnitudes at t=0.
2-A particle moves along the curve
𝑥 = 2𝑡 2 , 𝑦 = 𝑡 2 − 4𝑡, 𝑧 = 3𝑡 − 5 where t is the time. Find the
components of its velocity and acceleration in the direction of
𝑖 − 2𝑗 + 2𝑘 at t=1.
3-Determine the unit normal vector to the surface 𝑥 2 𝑦 − 2𝑥𝑧 + 2𝑦 2 𝑧 4 =
10 at (2, 1, -1).
Scalar Point Functions
If to every point P[𝑥, 𝑦, 𝑧] of a region R in space, there
corresponds a scalar function ∅(𝑥, 𝑦, 𝑧), then ∅ is called scalar
point function. Ex : ∅ = 𝑥 2 𝑦z or xyz
Vector Point Functions
If to every point P[𝑥, 𝑦, 𝑧] of a region R in space, there
corresponds a vector 𝑅(𝑥, 𝑦, 𝑧), then 𝑅 is called vector point
function. Ex : 𝑅 = 𝑥 2 𝑦𝑖 + 𝑥𝑦 𝑗 +xz k or xy i + yz j +xyz k

Del Operator: The vector differential operator 𝛻 is defined as


𝜕 𝜕 𝜕
𝛻= 𝑖+ 𝑗+ 𝑘
𝜕𝑥 𝜕𝑦 𝜕𝑧
Gradient of Scalar Field
If ∅ 𝑥, 𝑦, 𝑧 is a continuously differentiable scalar function,
then gradient of ∅ or written as grad ∅ , is defined as
𝜕∅ 𝜕∅ 𝜕∅
grad ∅=𝛻∅ = 𝑖 + 𝑗 + 𝑘
𝜕𝑥 𝜕𝑥 𝜕𝑥
It is a vector point function.
Geometrical Meaning
If ∅ 𝑥, 𝑦, 𝑧 is a scalar point function, then grad ∅ is vector
normal to the surface ∅ 𝑥, 𝑦, 𝑧 = 𝑐, 𝑐 𝑖𝑠 𝑐𝑜𝑛𝑠𝑡𝑎𝑛𝑡.
Angel between Two Surfaces: If ∅1 𝑥, 𝑦, 𝑧 = 𝑐1 and
∅2 𝑥, 𝑦, 𝑧 = 𝑐2 are two surfaces, then angle between them is
1   2
cos 
1   2
Directional Derivative
If ∅ 𝑥, 𝑦, 𝑧 is a scalar point function and 𝐷 is the given
direction, then
𝐷
Directional derivative of ∅ along 𝑛 =𝛻∅. 𝑛, where 𝑛 =
𝐷

Maximum Directional Derivative


The directional derivative is maximum along 𝛻∅ and its
maximum value is equal to 𝛻∅ 𝑜𝑟 𝑔𝑟𝑎𝑑 ∅ .
QUESTION
Find the directional derivative of the following 𝜑 = 𝑥 2 𝑦𝑧 +
4𝑥𝑧 2 at (1, -2, -1) along 2𝑖-𝑗-2𝑘.

QUESTION
In which direction the directional derivative of 𝑥 2 𝑦𝑧 3 is
maximum at (2, 1, -1) and examine the magnitude of
this maximum.
Divergence
Divergence of a vector point function 𝑅(𝑥, 𝑦, 𝑧), is written
𝜕 𝜕 𝜕
div𝑅= 𝛻. 𝑅= 𝑖 + 𝑗 + 𝑘 . 𝑅1 𝑖 + 𝑅2 𝑗 + 𝑅3 𝑘
𝜕𝑥 𝜕𝑦 𝜕𝑧

𝜕𝑅1 𝜕𝑅2 𝜕𝑅3


div𝑅 = + +
𝜕𝑥 𝜕𝑦 𝜕𝑧
It is a scalar quantity.

Solenoidal Vector: A vector is said to be solenoidal vector if


it’s divergence is zero, that is div 𝑅 = 0.
CURL
Curl of a vector point function 𝑅(𝑥, 𝑦, 𝑧), is written
𝜕 𝜕 𝜕
Curl 𝑅= 𝛻 × 𝑅= 𝑖 + 𝑗 + 𝑘 × 𝑅1 𝑖 + 𝑅2 𝑗 + 𝑅3 𝑘
𝜕𝑥 𝜕𝑦 𝜕𝑧

𝑖 𝑗 𝑘
𝜕 𝜕 𝜕
Curl 𝑅 = 𝜕𝑥 𝜕𝑦 𝜕𝑧
𝑅1 𝑅2 𝑅3
It is a vector quantity.

Irrotational Vector: A vector is said to be irrotational vector


if it’s curl is zero, that is curl 𝑅 = 0.

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