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Coherent States, Wavelets, and Their Generalizations: Unveiling the Frontiers of Mathematical Physics

Jese Leos
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In the vast tapestry of scientific inquiry, mathematical physics stands as a beacon of inspiration, illuminating the profound connections between mathematics and the physical world. Coherent states, wavelets, and their generalizations embody this symbiotic relationship, opening up new vistas of understanding in quantum mechanics, signal processing, image processing, and beyond.

Coherent States Wavelets and Their Generalizations: A Mathematical Overview (Graduate Texts in Contemporary Physics)
Coherent States, Wavelets and Their Generalizations: A Mathematical Overview (Graduate Texts in Contemporary Physics)
by Mildred T. Walker

4 out of 5

Language : English
File size : 5112 KB
Text-to-Speech : Enabled
Screen Reader : Supported
Print length : 418 pages

This article embarks on an enthralling journey through the realm of coherent states, wavelets, and their captivating applications. We will delve into their mathematical foundations, trace their historical evolution, and explore their groundbreaking implications in various scientific disciplines.

Coherent States: A Gateway to Quantum Mechanics

Coherent states, first introduced by physicist Roy Glauber in 1963, have revolutionized our understanding of quantum mechanics. They represent a remarkable bridge between classical and quantum descriptions of light and other quantum systems, offering a powerful tool for studying quantum phenomena.

Mathematically, coherent states are defined as the eigenstates of annihilation operators, which describe the lowering of energy levels in quantum systems. This elegant mathematical framework has profound implications for understanding the behavior of photons, atoms, and other elementary particles.

Wavelets: Unraveling the Secrets of Time and Frequency

Wavelets, developed in the 1980s by mathematicians Ingrid Daubechies, Stephane Mallat, and Yves Meyer, have transformed the landscape of signal processing, image processing, and other areas of applied mathematics.

These versatile mathematical functions possess the unique ability to decompose signals into localized time-frequency components. This powerful feature makes wavelets ideal for analyzing complex signals, such as musical notes, financial data, and medical images, where both temporal and spectral information play a crucial role.

Generalizations: Expanding the Horizons of Mathematical Physics

The remarkable success of coherent states and wavelets has inspired a multitude of generalizations, extending their reach into new realms of mathematical physics. These generalizations include Gabor wavelets, shearlets, and curvelets, each tailored to specific applications.

Gabor wavelets, for instance, combine the advantages of both wavelets and coherent states, providing a sophisticated tool for analyzing signals with non-stationary frequency content. Shearlets, on the other hand, are designed for analyzing data with anisotropic features, such as images with sharp edges and textures.

Applications: From Quantum Information to Medical Imaging

The applications of coherent states, wavelets, and their generalizations span a vast array of scientific disciplines. In quantum information theory, they enable the development of novel quantum computing architectures and communication protocols.

In signal and image processing, these mathematical tools play a pivotal role in denoising, compression, and feature extraction. They have revolutionized medical imaging, enhancing the diagnosis and treatment of diseases by providing detailed visualizations of anatomical structures and physiological processes.

Future Directions: Pushing the Boundaries

The field of coherent states, wavelets, and their generalizations is a dynamic and rapidly evolving frontier in mathematical physics. Ongoing research explores new theoretical frameworks, computational algorithms, and applications in diverse areas.

Future directions include the development of adaptive and multiscale wavelet transforms, the integration of machine learning techniques with wavelet analysis, and the exploration of applications in quantum gravity and cosmology.

Coherent states, wavelets, and their generalizations stand as a testament to the power of mathematical physics in unraveling the mysteries of the natural world. Their profound implications, extensive applications, and promising future directions make them indispensable tools for scientific discovery and technological advancement.

As we continue to push the boundaries of mathematical physics, these extraordinary mathematical constructs will undoubtedly play an increasingly significant role in shaping our understanding of the universe and its most enigmatic phenomena.

  • Glauber, R. J. (1963). Coherent and incoherent states of the radiation field. Physical Review, 131(6),2766-2788.
  • Daubechies, I. (1992). Ten lectures on wavelets. Society for Industrial and Applied Mathematics.
  • Mallat, S. (2008). A wavelet tour of signal processing: The sparse way. Academic press.
  • Meyer, Y. (1993). Wavelets: Algorithms and applications. Society for Industrial and Applied Mathematics.
  • Coherent States Wavelets and Their Generalizations: A Mathematical Overview (Graduate Texts in Contemporary Physics)
    Coherent States, Wavelets and Their Generalizations: A Mathematical Overview (Graduate Texts in Contemporary Physics)
    by Mildred T. Walker

    4 out of 5

    Language : English
    File size : 5112 KB
    Text-to-Speech : Enabled
    Screen Reader : Supported
    Print length : 418 pages
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    The book was found!
    Coherent States Wavelets and Their Generalizations: A Mathematical Overview (Graduate Texts in Contemporary Physics)
    Coherent States, Wavelets and Their Generalizations: A Mathematical Overview (Graduate Texts in Contemporary Physics)
    by Mildred T. Walker

    4 out of 5

    Language : English
    File size : 5112 KB
    Text-to-Speech : Enabled
    Screen Reader : Supported
    Print length : 418 pages
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