/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Problem 48 Prove Property 4 of Theorem 2.8:... [FREE SOLUTION] | 91Ó°ÊÓ

91Ó°ÊÓ

Prove Property 4 of Theorem 2.8: If \(A\) is an invertible matrix, then \(\left(A^{T}\right)^{-1}=\left(A^{-1}\right)^{T}\)

Short Answer

Expert verified
This property is verified true by showing that when \(A^{-1}A = I\) and \(AA^{-1} = I\) are transposed, both result in equations that satisfy the condition for a matrix inverse of the transposed of \(A\), proving that \(\left(A^{T}\right)^{-1}=\left(A^{-1}\right)^{T}\).

Step by step solution

01

Set Up the Equation

Starting with the definition of an inverse matrix, we have that \(AA^{-1} = A^{-1}A = I\), where \(I\) is the identity matrix.
02

Using Transpose Properties

Use the property \((AB)^T = B^TA^T\), where \(A\) and \(B\) are any matrices that can be multiplied. Then \(AA^{-1} = I\) becomes \((AA^{-1})^T = I^T\), this deconstructs into \((A^{-1})^TA^T = I\), showing one side of the proof.
03

Proving the second half

Similarly for \(A^{-1}A = I\), that becomes \((A^{-1}A)^T = I^T\), deconstructing into \(A^{T}(A^{-1})^T = I\), showing the second half of the proof. These steps confirm that \(\left( A^T \right)^{-1}= \left(A^{-1}\right)^T\).

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with 91Ó°ÊÓ!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

find the least squares regression line. $$(-3,4),(-1,2),(1,1),(3,0)$$

Let \(P\) be a \(2 \times 2\) stochastic matrix. Prove that there exists a \(2 \times 1\) state matrix \(X\) with nonnegative entries such that \(P X=X\)

Is the sum of two invertible matrices invertible? Explain why or why not. Illustrate your conclusion with appropriate examples.

Determine whether each statement is true or false. If a statement is true, give a reason or cite an appropriate statement from the text. If a statement is false, provide an example that shows the statement is not true in all cases or cite an appropriate statement from the text. (a) The identity matrix is an elementary matrix. (b) If \(E\) is an elementary matrix, then \(2 E\) is an elementary matrix. (c) The matrix \(A\) is row-equivalent to the matrix \(B\) if there exists a finite number of elementary matrices \(E_{1}, E_{2}, \ldots, E_{k}\) such that \(A=E_{k} E_{k-1} \cdot \cdot \cdot E_{2} E_{1} B\) (d) The inverse of an elementary matrix is an elementary matrix.

A population of 10,000 is grouped as follows: 5000 nonsmokers, 2500 smokers of one pack or less per day, and 2500 smokers of more than one pack per day. During any month there is a \(5 \%\) probability that a nonsmoker will begin smoking a pack or less per day, and a \(2 \%\) probability that a nonsmoker will begin smoking more than a pack per day. For smokers who smoke a pack or less per day, there is a \(10 \%\) probability of quitting and a \(10 \%\) probability of increasing to more than a pack per day. For smokers who smoke more than a pack per day, there is a \(5 \%\) probability of quitting and a \(10 \%\) probability of dropping to a pack or less per day. How many people will be in each of the 3 groups in 1 month? In 2 months?

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.