Meaning of Sigma in Laplace transform

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SUMMARY

The discussion focuses on the significance of sigma in the context of Laplace transforms, particularly in relation to Bode plots and regions of convergence (ROC). Sigma represents the real part of the complex frequency variable s, which is essential for ensuring the convergence of the Laplace transform integral. The conversation highlights that while constructing Bode plots, the physical meaning of sigma is often overlooked, despite its role in determining the behavior of the system at different frequencies. Additionally, the ROC is crucial for understanding the stability and response of circuits, as it defines the range of s values for which the integral converges.

PREREQUISITES
  • Understanding of Laplace transforms and their applications in circuit analysis
  • Familiarity with Bode plots and their significance in frequency response
  • Knowledge of poles and zeroes in transfer functions
  • Concept of regions of convergence (ROC) in complex analysis
NEXT STEPS
  • Study the implications of sigma in Laplace transform convergence
  • Learn how to construct and interpret Bode plots for RCL circuits
  • Investigate the effects of poles and zeroes on system stability and frequency response
  • Explore the concept of regions of convergence (ROC) and their impact on circuit behavior
USEFUL FOR

Electrical engineers, analytical mathematicians, and students studying control systems or circuit analysis will benefit from this discussion, particularly those interested in the mathematical foundations of Laplace transforms and their practical applications in engineering.

apalopohapa
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Hello,

I've got some questions for the hardcore analytical mathematicians and electronic engineers.

The context:

A gain relation in a circuit of RCL and dependent sources ends up in an H(s) which is a quotient of polynomials in s. Number of poles is the number of energy storing elements independent of each other (you can assign independent starting conditions) and zeroes depend on the behavior of H(s) when s tends to infinity and the number of poles. Some zeroes and poles can be found by inspection, this is done knowing the above and observing some conditions and values of s so that the gain becomes zero or infinity.

The questions:

1. s is supposed to be sigma + jw, and sigma arises so that the transform integral converges. However, when constructing bode plots, this is completely ignored. Why? Is there a physical meaning to sigma?

2. The effects on the bode plot of zeroes and poles are to change the slope in 20dB incrementals (bode magnitude), the gain isn't really infinite on the poles, since s is replaced by jw and if the poles are real, s being complex will never have those real values so that the bode plot goes infinite. What is the meaning of this?

3. A region of convergence (ROC) for s can be found, which is a range of values for s so that the integrals converge. What is the ROC useful for? What happens when the frequency is outisde the ROC? Textbooks are pretty good in showing how to find these ROCs, but not in making clear what effects they have in your circuit.

Thanks.
 
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I am really looking for the answers to this question. Hope someone could make it clear.
 
A pure imaginary input, iw, is the input of a constant amplitude frequency. Any real part, sigma, would represent an input whose magnitude is growing or decreasing exponentially. That would unnecessarily complicate analysis of the gain of the transformation.
esigma + iw = esigmaeiw = exponentialGrowthMultiplier * periodicUnitMagnitudeInput
1) Use the imaginary part, jw, to determine the response to different frequencies of unit magnitude. The real part, sigma, would show the response to an input with exponential growth, what is not something that is usually studied.
2) A real root would represent an input of pure exponential growth
3) Are you talking about the radius of convergence of a Taylor series? I don't know how those would be used.
 
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