Regarding Schwartz inequality and integration bounds

In summary, the conversation discusses the use of the Schwartz inequality and the role of the variable "s" in the integration bounds. It is shown that in certain cases, including a small value of s, it is mathematically valid but may not align with physical conservatism. The Cauchy-Schwarz inequality is suggested as a possible solution.
  • #1
p4wp4w
8
5
Based on Schwartz inequality, I am trying to figure out why there
should/can be the "s" variable which is the lower bound of the
integration in the RHS of the following inequality:
## \left \|\int_{-s}^{0} A(t+r)Z(t+r) dr \right \|^{2} \leq s\int_{-s}^{0}\left \| A(t+r)Z(t+r) \right \|^{2} dr, ##
instead of:
## \left \|\int_{-s}^{0} A(t+r)Z(t+r) dr \right \|^{2} \leq \int_{-s}^{0}\left \| A(t+r)Z(t+r) \right \|^{2} dr. ##
 
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  • #3
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  • #4
p4wp4w said:
Based on Schwartz inequality, I am trying to figure out why there
should/can be the "s" variable which is the lower bound of the
integration in the RHS of the following inequality:
## \left \|\int_{-s}^{0} A(t+r)Z(t+r) dr \right \|^{2} \leq s\int_{-s}^{0}\left \| A(t+r)Z(t+r) \right \|^{2} dr, ##
instead of:
## \left \|\int_{-s}^{0} A(t+r)Z(t+r) dr \right \|^{2} \leq \int_{-s}^{0}\left \| A(t+r)Z(t+r) \right \|^{2} dr. ##
Apply the Cauchy-Schwarz inequality to the functions##f,\ g## defined by ##f(r)=A(t+r)Z(t+r)## and ##g(r)=1##.
 
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  • #5
Samy_A said:
Apply the Cauchy-Schwarz inequality to the functions##f,\ g## defined by ##f(r)=A(t+r)Z(t+r)## and ##g(r)=1##.
Sure. My confusion was because of the example in my mind that s can be a very small value which then the upper bound will be also very small and as a result, physically conservatism but again mathematically correct. Thank you very much.
 

What is Schwartz inequality?

Schwartz inequality, also known as Cauchy-Schwarz inequality, is a mathematical inequality that relates to the dot product of vectors in an inner product space. It states that the absolute value of the dot product of two vectors is less than or equal to the product of their magnitudes.

How is Schwartz inequality used in integration?

In integration, Schwartz inequality is used to establish upper and lower bounds for the integral of a function. By applying the inequality, we can determine a range of values that the integral must fall within, providing a more precise estimate of the integral's value.

What is the relationship between Schwartz inequality and integration bounds?

The Schwartz inequality is used to determine integration bounds, as it provides the upper and lower limits for the integral. By applying the inequality, we can establish a range of values that the integral must fall within, thus defining the integration bounds.

Are there any exceptions to Schwartz inequality?

Yes, there are exceptions to Schwartz inequality. In some cases, the inequality may not hold true, such as when dealing with infinite vectors or complex numbers. Additionally, the inequality may not hold for certain norms or vector spaces.

How is Schwartz inequality related to other mathematical concepts?

Schwartz inequality is closely related to other concepts in mathematics, such as the triangle inequality and the Hölder inequality. It is also commonly used in conjunction with other techniques in analysis and functional analysis, such as the Riesz representation theorem and the Banach space theory.

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