- #1
skan
- 15
- 0
1.g(t) = f(t) + f(-t)
2. g(t)= f(t/2)
can someone pls explain why these functions are time variant and non causal
2. g(t)= f(t/2)
can someone pls explain why these functions are time variant and non causal
Causality is the relationship between cause and effect, where one event (the cause) leads to another event (the effect). In science, causality is used to explain and predict phenomena in the natural world.
Time variance refers to changes or fluctuations in a system over time. In science, it is often used to describe how a particular phenomenon or variable may change in relation to time.
Causality and time variance are closely related in science. Time variance can affect the relationship between cause and effect, and can also be used to study the causal mechanisms behind a particular phenomenon.
Yes, both causality and time variance can be measured in scientific research. Causality can be measured through experiments and statistical analyses, while time variance can be measured through various methods such as time series analysis and trend analysis.
Examples of causal and time variant phenomena include weather patterns, economic fluctuations, and the spread of diseases. In each of these examples, there are causal relationships between different variables, and these relationships can change over time.