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Q37E

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Linear Algebra With Applications
Found in: Page 338
Linear Algebra With Applications

Linear Algebra With Applications

Book edition 5th
Author(s) Otto Bretscher
Pages 442 pages
ISBN 9780321796974

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Short Answer

consider an eigenvalue λ0of an n×n matrix A. we are told that the algebraic multiplicity of exceeds 1. Show that f'(λ0)=0(i.e.., the derivative of the characteristic polynomial of A vanishes are λ0).

Consider an eigenvalue.

If an eigenvalue λ0of is of algebraic multiplicity greater than ,

it's at least 2.

f'( λ)=2f(λ)(λ-λ0)+f'(λ)(λ-λ0)2f'(λ0)=0

See the step by step solution

Step by Step Solution

Step 1: definition of eigenvalues

The eigenvalue is a number that indicates how much variance exists in the data in that direction; in the example above, the eigenvalue is a number that indicates how spread out the data is on the line.

If an Eigenvalue λ0of is of algebraic multiplicity greater than 1,

it's at least 2.

So, the characteristic polynomial is,

Step 2: definition function

A function is a relationship between a set of inputs that each have one output.

A function is now, declare the values.

where is a function:

now,

. It is f'( λ)=2f(λ)(λ-λ0)+f'(λ)(λ-λ0)2f'(λ0)=0

Hence,

f'( λ)=2f(λ)(λ-λ0)+f'(λ)(λ-λ0)2f'(λ0)=0

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