/*! 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 7 Suppose \(V\) is a Hilbert space... [FREE SOLUTION] | 91Ó°ÊÓ

91Ó°ÊÓ

Suppose \(V\) is a Hilbert space and \(\operatorname{Inv}(V)\) is the set of invertible bounded operators on \(V\). Think of \(\operatorname{Inv}(V)\) as a metric space with the metric it inherits as a subset of \(\mathcal{B}(V)\). Show that \(T \mapsto T^{-1}\) is a continuous function from \(\operatorname{Inv}(V)\) to \(\operatorname{Inv}(V)\)

Short Answer

Expert verified
To show that the function \(T \mapsto T^{-1}\) is continuous on Inv(V), we proved that for any \(T \in \operatorname{Inv}(V)\) and any \(\varepsilon > 0\), there exists a \(\delta > 0\) such that for all \(S \in \operatorname{Inv}(V)\), if \(\|T - S\| < \delta\), then \(\|T^{-1} - S^{-1}\| < \varepsilon\). We used properties of invertible operators, norms, and the Neumann series to find a suitable \(\delta\), and showed that the distance between the inverses is less than \(\varepsilon\) for the chosen \(\delta\).

Step by step solution

01

Use properties of invertible operators

Since T is invertible, we have T^(-1)T = I and TT^(-1) = I. Let S = T + D, where D = S - T. In this case, we have to show that there exists a δ > 0 such that if ‖D‖ < δ, then ‖S^(-1) - T^(-1)‖ < ε for any ε > 0.
02

Find a bound for the norm of D

We know T is invertible, and we want to show that for ‖D‖ sufficiently small, S is also invertible. In order to find the required δ, consider the following formula, which is derived from the Neumann series of invertible operators: (1 - D)T^(-1) = Sum(from k=0 to infinity) ((-DT^(-1))^k) We want to find a bound for ‖D‖, so that this series converges. By using the properties of the norm, we can bound this series by: Sum(from k=0 to infinity) (‖D‖^k)‖T^(-1)‖^k < Infinity Using the geometric series, this will converge if ‖D‖ < 1/‖T^(-1)‖ and will also guarantee that S = T + D is invertible. Let δ = 1/‖T^(-1)‖.
03

Show that the distance between inverses is less than ε

Now, we can use the bound on ‖D‖ and write S^(-1) in terms of T^(-1): S^(-1) = (1 - D)T^(-1)Sum(from k=0 to infinity) ((-DT^(-1))^k) Now, we need to show that for ‖D‖ < δ, ‖S^(-1) - T^(-1)‖ < ε. To do this, consider the following expression: ‖S^(-1) - T^(-1)‖ = ‖(1 - D)T^(-1)Sum(from k=0 to infinity) ((-DT^(-1))^k) - T^(-1)‖ Using the properties of norms, we can bound this by: ‖S^(-1) - T^(-1)‖ ≤ ‖(1 - D)T^(-1)‖ * Sum(from k=1 to infinity) ‖(-D)T^(-1)‖^k We know that ‖D‖ < δ and δ = 1/‖T^(-1)‖, so: ‖S^(-1) - T^(-1)‖ ≤ ‖T^(-1)‖ * Sum(from k=1 to infinity) (‖D‖^k)‖T^(-1)‖^k Now, we want this to be less than ε for some ε > 0. We have a geometric series, so choosing ε = ‖T^(-1)‖(2δ) suffices: ‖S^(-1) - T^(-1)‖ ≤ ‖T^(-1)‖ * Sum(from k=1 to infinity) (‖D‖^k)‖T^(-1)‖^k = ‖T^(-1)‖ * (2δ) Thus, we have shown that if ‖D‖ < δ, then the distance between S^(-1) and T^(-1) is less than ε. Therefore, the function T ↦ T^(-1) is continuous on Inv(V).

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!

Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Invertible Operators
An invertible operator on a Hilbert space is one which can be "undone" by another operator. In more formal terms, let's say we have an operator \(T\). It is invertible if there's another operator, \(T^{-1}\), such that the product of the two operators in either order results in the identity operator \(I\). This can be written as \(T^{-1}T = T T^{-1} = I\).
When applying these operators to vectors in a Hilbert space \(V\), you end up with the same vector you started with. This concept is much like multiplying a number by its reciprocal to make one.
  • Invertible operators are critical because they allow us to "reverse" operations and solve equations effectively.
  • They are fundamental in analysis and understanding complex systems within a Hilbert space.
Bounded Operators
Bounded operators play a crucial role in functional analysis, especially within the context of Hilbert spaces. A bounded operator \(T\) on a Hilbert space \(V\) is one where there's a "limit" on the size \(T\) can stretch vectors. Formally, for any vector \(x\) in \(V\), the inequality \(\|T(x)\| \leq M\|x\|\) holds, where \(M\) is a fixed constant.
This implies the operator does not have the potential to stretch vectors to infinity, making it stable and manageable.
  • Bounded operators assure continuity, meaning small changes in inputs result in small changes in outputs.
  • Such operators are more straightforward to analyze and calculate with, as compared to unbounded ones.
  • They ensure that subsequent operations won't produce unexpected or infinite outcomes.
Continuity in Metric Spaces
Continuity is a concept that helps us understand how smoothly a function behaves over a space. In a metric space like \(\operatorname{Inv}(V)\), continuity means that small changes in the input will produce correspondingly small changes in the output.
Within such spaces, a function is continuous if, for every point, any change beyond a certain small distance, \(\varepsilon\), will result in changes in the function's output within some specified range \(\delta\).
  • In this context, it particularly involves dealing with limits and ensuring stable and predictable behaviors.
  • Understanding continuity is vital, especially when dealing with complex functions like those involving operator inversions in Hilbert spaces.
  • This concept ensures functions behave "nicely" and avoid abrupt changes which are typical in chaotic systems.
Neumann Series
The Neumann series is a useful tool in proving the invertibility of operators. It mimics a geometric series and is often used when examining operators like \(S = T + D\), where \(D\) is a "small" disturbance.
To apply the Neumann series, consider the series \((1 - D)T^{-1} = \sum_{k=0}^{\infty} (-DT^{-1})^k\), which represents an expansion that approximates the inverse when \(\|D\| < \frac{1}{\|T^{-1}\|}\).
  • This series converges when \(\|D\|\) is sufficiently small, ensuring \(S\) remains invertible.
  • Much like a geometric series, the behavior and convergence are driven by the norm of the disturbance \(D\) being controlled.
  • The Neumann series is powerful in proving continuity and establishing bounds on operators within Hilbert spaces.

One App. One Place for Learning.

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

Get started for free

Study anywhere. Anytime. Across all devices.