Skip to main content

Part of the book series: Undergraduate Lecture Notes in Physics ((ULNP))

  • 2069 Accesses

Abstract

Linear algebra is the language describing systems in finite (or countably infinite) dimensions, where dimension represents the number of variables at hand.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 59.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 79.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 79.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    Formally \(I_{nn}\), since I is generally a two-index tensor.

  2. 2.

    Ernst Mach (1838–1916).

  3. 3.

    Everitt et al. [1] a local measurement on the Riemann tensor. LAGEOS II detected frame dragging in the orientation of polar orbits [2].

  4. 4.

    A related result affects her weight by Papapetrou forces [5], here expressed in Eq. (3.25).

  5. 5.

    The complete set of frame dragging induced interactions is described by the Riemann tensor.

  6. 6.

    The product of the eigenvalues equals the determinant of the matrix, as follows from, e.g., the Jordan decomposition theorem. The same theorem shows that the trace of a matrix given by the sum of the elements on the principle diagonal equals the sum of the eigenvalues.

  7. 7.

    Also referred to as the Hermitian transpose or the conjugate transpose.

  8. 8.

    The celestial sphere in the language of cosmology.

  9. 9.

    Commonly referred to as SO(3), described by rotation matrices with determinant +1.

  10. 10.

    Photons carry an additional degree of freedom in polarization.

  11. 11.

    Wolfgang Pauli 1900–1958.

  12. 12.

    The image space is comprised of multiples of one vector \(\left( \begin{array}{cc} \xi&\eta \end{array}\right) ^\dagger \).

  13. 13.

    \(S^1\) is illustrative of a one-dimensional manifold which is compact and simply connected. It has nontrivial topology, since the winding number of a loop in \(S^1\) can take any value in \(\mathbb Z\). By homotopy, the topology of \(S^1\) is the same as that of the punctured disk \(0<|z|\le 1\).

  14. 14.

    As a result, we say \(SU(2)\,\subset \, U(2)\cong SU(2)\,\times \,U(1)\).

  15. 15.

    The symbols \(o^A\bar{\iota }^{A'}\) and \(\bar{\iota }^{A'}o^A\) are the same, i.e., there is no ordering between unprimed and primed indices. Only upon expansion into a matrix, a choice of ordering is made.

  16. 16.

    A so-called Rindler space.

  17. 17.

    It can be shown that flatness is preserved under analytic continuation, whereby the Lorentz metric \(ds^2=-dt^2+dx^2=(idt)^2+dx^2\) is trivially flat.

References

  1. Everitt, C.W.F., et al, 2011, Phys. Rev. Lett., 106, 221101, http://www.einstein.stanford.edu.

  2. Ciufolini, I., & Pavlis, E.C., 2004, Nature, 431, 958.

    Google Scholar 

  3. Kerr, R.P., 1963, Phys. Rev. Lett., 11, 237.

    Google Scholar 

  4. van Putten, M.H.P.M., 2005, Nuov. Cim. B, 28, 597; van Putten, M.H.P.M., & Gupta, A.C., 2009, Mon. Not. R. Astron. Soc., 394, 2238.

    Google Scholar 

  5. Papapetrou A., 1951, Proc. R. Soc., 209, 248.

    Google Scholar 

  6. Feynman, R.P., 1963, Lectures on Physics, Vol. I (Addison-Wesley Publishing Co.), Ch. 20.

    Google Scholar 

  7. van Putten, M.H.P.M., 2017, NewA, 54, 115, arXiv:1609.07474.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Maurice H.P.M. van Putten .

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer Nature Singapore Pte Ltd.

About this chapter

Cite this chapter

van Putten, M.H. (2017). Vectors and Linear Algebra. In: Introduction to Methods of Approximation in Physics and Astronomy. Undergraduate Lecture Notes in Physics. Springer, Singapore. https://doi.org/10.1007/978-981-10-2932-5_3

Download citation

Publish with us

Policies and ethics