olution. Let T: R" →→R" be a linear transformation and let {v₁,..., vp} be a et of linearly independent vectors in R". Suppose that {T(v₁),...,T(v₂)} is hearly dependent. Then, there are real scalars c₁,..., Cp, not all zero, such that C₁T(v₁) ++ cpT(vp) = 0.

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
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Solution. Let T: R" → R™ be a linear transformation and let {V₁,..., vp} be a
set of linearly independent vectors in R". Suppose that {T(v₁),...,T(v₂)} is
inearly dependent. Then, there are real scalars c₁,..., Cp, not all zero, such that
C₁T (V₁) +
+ cpT(vp) = 0.
Transcribed Image Text:Solution. Let T: R" → R™ be a linear transformation and let {V₁,..., vp} be a set of linearly independent vectors in R". Suppose that {T(v₁),...,T(v₂)} is inearly dependent. Then, there are real scalars c₁,..., Cp, not all zero, such that C₁T (V₁) + + cpT(vp) = 0.
• Given that I is linear, what can you do with the left hand side of the centered
equation above? Once you figure out what I mean, you'll end up with an
equation of the form T(...) = 0, with justification.
Can you now argue that there is a nonzero vector that I sends to zero? Here
you will use the fact that {V₁,..., Vp} is a linearly independent set (what is
the ONLY solution to the equation ₁V₁ ++ pvp = 0?).
• Why does the fact that I sends a non-zero vector to the zero vector imply
that I' is not one-to-one?|
Transcribed Image Text:• Given that I is linear, what can you do with the left hand side of the centered equation above? Once you figure out what I mean, you'll end up with an equation of the form T(...) = 0, with justification. Can you now argue that there is a nonzero vector that I sends to zero? Here you will use the fact that {V₁,..., Vp} is a linearly independent set (what is the ONLY solution to the equation ₁V₁ ++ pvp = 0?). • Why does the fact that I sends a non-zero vector to the zero vector imply that I' is not one-to-one?|
Expert Solution
Step 1: Introduction

Given that T colon straight real numbers to the power of n rightwards arrow straight real numbers to the power of m is a linear transformation.

Suppose that open curly brackets v subscript 1 comma v subscript 2 comma horizontal ellipsis comma v subscript p close curly brackets is the set of linearly independent vectors such that open curly brackets T open parentheses v subscript 1 close parentheses comma T open parentheses v subscript 2 close parentheses comma horizontal ellipsis comma T open parentheses v subscript p close parentheses close curly brackets is linearly dependent.

We need to prove that T is not one-one.

We know that T open parentheses 0 subscript straight real numbers to the power of n end subscript close parentheses equals 0 subscript straight real numbers to the power of m end subscript for zero vector  0 subscript straight real numbers to the power of n end subscript element of straight real numbers to the power of n and 0 subscript straight real numbers to the power of m end subscript element of straight real numbers to the power of n.

We know that, if T is a linear transformation, then T open parentheses c u plus v close parentheses equals c T open parentheses u close parentheses plus T open parentheses v close parentheses, where u comma v are vectors and c is scalar.

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