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NPTEL – Physics – Mathematical Physics - 1
Lecture 9
Linear independence
ο‚·Determine whether u and v are linearly independent
i) 𝑒 = (1, 2), 𝑣 = (3, βˆ’5), (ii) 𝑒 = (1, βˆ’3), 𝑣 = (βˆ’2𝑒)
2 vectors are said to be linearly dependent if one is multiple of another.
a)
b)
Joint initiative of IITs and IISc – Funded by MHRD Page 9 of 28
u and v are independent
u and v are dependent for 𝑣 = βˆ’2𝑒
ο‚· Determine whether 3 vectors
𝑒 = (1, 1, 2), 𝑣 = (2, 3, 1) and 𝑀 = (4, 5, 5) are linearly independent.
1 2 4 0
π‘₯ [1] + 𝑦 [3] + 𝑧 [5] = [0]
2 1 5 0
If this set has a non-zero solution for (x, y, z) then they are linearly dependent.
The students should check this.
Change of basis
Let {𝑒1, 𝑒2 … … … 𝑒𝑛} is a basis of a vector space v and {𝑓1 … … … … 𝑓𝑛} is another
basis. Suppose there is a relation that exists between the two bases such that,
𝑓1 = π‘Ž11𝑒1 + π‘Ž12𝑒2 + … … … π‘Ž1𝑛𝑒𝑛
𝑓2 = π‘Ž21𝑒1 + π‘Ž22𝑒2 + … … … π‘Ž2𝑛𝑒𝑛
-
-
-
-
-
-
-
-
-
𝑓𝑛 = π‘Žπ‘›1𝑒1 + π‘Žπ‘›2𝑒2 + … … … π‘Žπ‘›π‘›π‘’π‘›
Then the transpose, P of the above matrix of coefficients is called the basis
matrix.
Theorem 1
Let P be a basis matrix from a basis {e;} to a basis {𝑓𝑗 } and Q be the change of
basis matrix from the basis {𝑓𝑗 } to {𝑒𝑖} back. Then P is invertible and 𝑄 = π‘ƒβˆ’1
Proof 𝑓𝑖 = βˆ‘π‘› π‘Žπ‘–π‘— 𝑒
𝑗 =1
𝑗
(1)
(2)
Also 𝑒𝑖 = βˆ‘π‘›
π‘˜=1 𝑏𝑗 π‘˜ 𝑓
π‘˜
Substituting (2) in (1)
𝑓𝑖 = βˆ‘π‘› π‘Žπ‘–π‘—(βˆ‘π‘› π‘π‘—π‘˜π‘“π‘˜ ) = βˆ‘π‘› (βˆ‘π‘› π‘Ž 𝑏 ) 𝑓
𝑗 =1 π‘˜=1 π‘˜=1 𝑗 =1 𝑖 𝑗 𝑗 π‘˜ π‘˜
Now, βˆ‘π‘— π‘Žπ‘–π‘—π‘π‘—π‘˜ = π›Ώπ‘–π‘˜
NPTEL – Physics – Mathematical Physics - 1
Where π›Ώπ‘–π‘˜ is the Kronecker delta function with the following properties,
π›Ώπ‘–π‘˜ = 1 for 𝑖 = π‘˜
= 0 for iβ‰  π‘˜ So, πΆπ‘–π‘˜ = π›Ώπ‘–π‘˜ so 𝑃𝑄 = 1 Or 𝑃 = π‘„βˆ’1 (proved)
Example
Consider the following bases in 𝑅2.
𝑆1 = {𝑒1 = (1, βˆ’2), 𝑒2 = (3, βˆ’4)}
𝑆2 = {𝑣1 = (1,3), 𝑣2 = (3,8)}
(i) Find the components of an arbitrary vector (𝑏) in 𝑅2 in basis 𝑆1 = {𝑒1, 𝑒2}.
(ii) Write the change of basis matrix P from 𝑆1to 𝑆2. To do this we have to write
𝑣1 and 𝑣2 in terms of 𝑒1 and 𝑒2.
π‘Ž
Solution
(𝑏) = π‘₯ ( ) + 𝑦 ( ) β‡’ π‘₯ + 3𝑦 = π‘Ž and βˆ’2π‘₯ βˆ’ 4𝑦 = 𝑏
π‘Ž 1
βˆ’2 βˆ’4
3
3 1
Thus, (π‘Ž1𝑏)𝑠1 = (βˆ’2π‘Ž
βˆ’ 2
𝑏) 𝑒1 + (π‘Ž + 2
𝑏)
𝑒2
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lec9.ppt

  • 1. NPTEL – Physics – Mathematical Physics - 1 Lecture 9 Linear independence ο‚·Determine whether u and v are linearly independent i) 𝑒 = (1, 2), 𝑣 = (3, βˆ’5), (ii) 𝑒 = (1, βˆ’3), 𝑣 = (βˆ’2𝑒) 2 vectors are said to be linearly dependent if one is multiple of another. a) b) Joint initiative of IITs and IISc – Funded by MHRD Page 9 of 28 u and v are independent u and v are dependent for 𝑣 = βˆ’2𝑒 ο‚· Determine whether 3 vectors 𝑒 = (1, 1, 2), 𝑣 = (2, 3, 1) and 𝑀 = (4, 5, 5) are linearly independent. 1 2 4 0 π‘₯ [1] + 𝑦 [3] + 𝑧 [5] = [0] 2 1 5 0 If this set has a non-zero solution for (x, y, z) then they are linearly dependent. The students should check this. Change of basis Let {𝑒1, 𝑒2 … … … 𝑒𝑛} is a basis of a vector space v and {𝑓1 … … … … 𝑓𝑛} is another basis. Suppose there is a relation that exists between the two bases such that, 𝑓1 = π‘Ž11𝑒1 + π‘Ž12𝑒2 + … … … π‘Ž1𝑛𝑒𝑛 𝑓2 = π‘Ž21𝑒1 + π‘Ž22𝑒2 + … … … π‘Ž2𝑛𝑒𝑛 - - - - - - - - - 𝑓𝑛 = π‘Žπ‘›1𝑒1 + π‘Žπ‘›2𝑒2 + … … … π‘Žπ‘›π‘›π‘’π‘› Then the transpose, P of the above matrix of coefficients is called the basis matrix. Theorem 1 Let P be a basis matrix from a basis {e;} to a basis {𝑓𝑗 } and Q be the change of basis matrix from the basis {𝑓𝑗 } to {𝑒𝑖} back. Then P is invertible and 𝑄 = π‘ƒβˆ’1 Proof 𝑓𝑖 = βˆ‘π‘› π‘Žπ‘–π‘— 𝑒 𝑗 =1 𝑗 (1) (2) Also 𝑒𝑖 = βˆ‘π‘› π‘˜=1 𝑏𝑗 π‘˜ 𝑓 π‘˜ Substituting (2) in (1) 𝑓𝑖 = βˆ‘π‘› π‘Žπ‘–π‘—(βˆ‘π‘› π‘π‘—π‘˜π‘“π‘˜ ) = βˆ‘π‘› (βˆ‘π‘› π‘Ž 𝑏 ) 𝑓 𝑗 =1 π‘˜=1 π‘˜=1 𝑗 =1 𝑖 𝑗 𝑗 π‘˜ π‘˜ Now, βˆ‘π‘— π‘Žπ‘–π‘—π‘π‘—π‘˜ = π›Ώπ‘–π‘˜
  • 2. NPTEL – Physics – Mathematical Physics - 1 Where π›Ώπ‘–π‘˜ is the Kronecker delta function with the following properties, π›Ώπ‘–π‘˜ = 1 for 𝑖 = π‘˜ = 0 for iβ‰  π‘˜ So, πΆπ‘–π‘˜ = π›Ώπ‘–π‘˜ so 𝑃𝑄 = 1 Or 𝑃 = π‘„βˆ’1 (proved) Example Consider the following bases in 𝑅2. 𝑆1 = {𝑒1 = (1, βˆ’2), 𝑒2 = (3, βˆ’4)} 𝑆2 = {𝑣1 = (1,3), 𝑣2 = (3,8)} (i) Find the components of an arbitrary vector (𝑏) in 𝑅2 in basis 𝑆1 = {𝑒1, 𝑒2}. (ii) Write the change of basis matrix P from 𝑆1to 𝑆2. To do this we have to write 𝑣1 and 𝑣2 in terms of 𝑒1 and 𝑒2. π‘Ž Solution (𝑏) = π‘₯ ( ) + 𝑦 ( ) β‡’ π‘₯ + 3𝑦 = π‘Ž and βˆ’2π‘₯ βˆ’ 4𝑦 = 𝑏 π‘Ž 1 βˆ’2 βˆ’4 3 3 1 Thus, (π‘Ž1𝑏)𝑠1 = (βˆ’2π‘Ž βˆ’ 2 𝑏) 𝑒1 + (π‘Ž + 2 𝑏) 𝑒2 Joint initiative of IITs and IISc – Funded by MHRD Page 10 of 28